Fin Maverick
Foundations VocabularyAccounting & ReportingEconomics & MacroQuant Methods & ProgrammingBusiness & Company AnalysisCorporate Finance & ValuationBehavioural Finance
Banking & Market InfrastructureFixed Income & RatesDerivatives & Structured ProductsPublic EquitiesTransactions & DealsPortfolio ConstructionFunds & AMCs
Private Markets & AlternativesRisk, Treasury & ControlAI & Digital FinanceStochastic Calculus & PricingWealth & Personal FinanceIndian Markets & RegulationProfessional Practice
CalculatorComparison
Frameworks
Explore Bootcamps
Equity ResearchPortfolio ManagementMutual Fund MasteryFinancial LiteracyInvestment Banking Analyst
Private Equity AnalystHedge Funds AnalystBreaking Into VCBreaking Into QuantsAI For Finance
Financial Analyst ProgramRisk Management ProgramPrivate Wealth ManagementDebt Capital MarketsDerivatives Foundation
Explore Internships
Equity Research InternMutual Fund Intern
Portfolio Management InternFinancial Literacy Intern
Explore Micro Courses

Equity Research6

Writing an Investment ThesisBuilding a Discounted Cash FlowReading an Annual Report FastReading a Sector Before a CompanySpotting Quality of Earnings Red FlagsBuilding a Revenue Forecast From Drivers

Portfolio Management3

Rebalancing: When, Why and What It CostsStrategic and Tactical Asset AllocationMeasuring Risk in a Portfolio

Mutual Fund Mastery3

Comparing Funds Without Being FooledHow a NAV Is Struck and Which Day You GetReading a Fund Factsheet Properly

Derivatives Unlocked4

Hedging a Real ExposureThe Greeks, PracticallyFutures, the Basis and What Moves ItReading an Option Payoff

AI For Finance2

Retrieval and Grounding for FinanceDocument Extraction in Finance

Breaking Into Quants4

Backtesting a StrategyHypothesis TestingCleaning Financial DataRegression for Finance

Breaking Into VC3

Sizing a MarketReading a Term Sheet as a FounderHow a Venture Round Actually Works

Financial Analyst Program4

Common Size and Trend AnalysisReading a Cash Flow StatementRatio Analysis That Says SomethingBuilding a Working Capital Schedule

Risk Management Program2

Credit Exposure and How It Is ReducedValue at Risk and What It Hides

Investment Banking Analyst3

Precedent Transactions and Why They DifferReading a Term Sheet StructurallyBuilding a Comparable Companies Table

Private Wealth Management3

Tax Aware Portfolio DecisionsBuilding a Client Risk ProfileGoal Based Planning Arithmetic

Debt Capital Markets3

Analysing an Issuer's CreditDuration and What It Does Not Tell YouBond Pricing and Yield Mechanics

Private Equity Analyst2

Fund Waterfalls and CarryThe LBO in Structure

Hedge Funds Analyst2

Short Selling MechanicsLong Short Mechanics
Courses
Explore Career Roadmaps
Investment Banking AnalystEquity Research AnalystVC AnalystPrivate Equity AnalystHedge Funds Analyst
Quant AnalystAI For FinanceFinancial Analyst ProgramPrivate Wealth ManagementDebt Capital Markets
Risk Management ProgramDerivatives FoundationPortfolio ManagementMutual Fund Mastery
PartnershipsShowdown
Log inSign up
AI, Automation & Digital Finance
1AI Foundations
Artificial Intelligence in FinanceAlgorithmNeural Networks and Deep LearningMachine LearningArtificial Intelligence vs Machine…Computer Vision in FinanceTraining Data and LabelsNatural Language Processing in Finance
2Generative AI
Generative AIGenerative AI vs Predictive AILarge Language ModelsEmbeddingsHallucinationFine TuningPrompting vs Fine TuningThe PromptThe Context WindowTool CallingGroundingVector DatabasesRetrieval Augmented GenerationRAG vs Fine Tuning
3Automation and Workflow
Workflow AutomationAutomation vs AugmentationHow to Map a…Straight-Through Processing and Exception…Robotic Process AutomationRule EnginesMachine Learning vs Rule-Based…
4Document and Operations AI
Intelligent Document ProcessingBatch vs Real-Time vs…Document Classification vs Entity…Service Level AgreementsCase ManagementHow to Document Data…Reconciliation AutomationOptical Character Recognition and Data ExtractionConfidence Scores
5Customer Systems, Identity and Digital Assets
Digital IdentityConsent ManagementBlockchain and Distributed LedgerChatbots and Conversational AIFrom Use Case to ProductionDigital Assets and TokenisationDigital SignaturesData Sharing in FinanceElectronic KYC and Digital Onboarding
6Credit and Fraud Systems
The Fraud AlertCredit Decisioning SystemsHuman in the Loop…Adverse ActionAnomaly DetectionThe Decision ThresholdCredit Score vs Credit DecisionAlert Triage and EscalationFraud Detection and Transaction MonitoringFraud Model vs Credit ModelHow to Build Human…
7Governance, Data and Vendors
AI Governance and the AI PolicyHow to Create an…Explainability and Interpretability ComparedThe AI VendorBias and Fairness in Financial AIShadow AIAccess Control and Data MinimisationCloud Computing in FinanceData Lineage and Master DataData ResidencyThe AI Use Case Register and Model InventoryThe Model Owner
8Model Performance, Monitoring and Resilience
Model DriftFalse Positives and False NegativesClassification MetricsAdversarial AttacksModel TestingBias, Fairness and Explainability…Stopping an Automated SystemModel ValidationAI Governance vs Model Risk ManagementPrompt InjectionHow to Create an…

Service Level Agreements: Committing to a Turnaround

A turnaround commitment promises that a stated share of work reaches an outcome inside a stated time. The promise is only as honest as what starts its clock and who it leaves out. A commitment measured from the moment work reaches the system, rather than from the moment the customer starts, can be met comfortably while one applicant in seven sits outside it entirely.

Every attainment figure is a fraction, and almost all of the argument in it lives in the bottom half. The numerator is usually measured carefully and reported honestly. The bottom half is chosen, usually early, usually by the people who will later be measured against it, and usually without anybody in the room noticing that a choice was being made at all. Learning to read a turnaround commitment is mostly learning to ask what sits underneath the percentage before reacting to the percentage.

What does a turnaround commitment actually promise?

A small picture carries the whole idea. A customer leaves a kurta with a tailor two weeks before a wedding and the tailor says it will be ready on Thursday. The tailor has made a promise about that one kurta. When the tailor has grown into a workshop with forty people, he no longer promises Thursday to anybody; he puts a board on the wall instead: ninety-five of every hundred garments leave this shop within two days of being brought in. The board on the wall is a different animal. The board is not about the one kurta at all. The board states something about a population, and any individual customer could be one of the five.

A turnaround commitmentA promise that a stated share of work reaches an outcome inside a stated time. in a bank is the board on the wall, not the promise about a single kurta. A turnaround commitment has three moving parts and one large silence. The three parts are a share, a time and a population: how much of the work, inside how long, out of what. The silence is everything the share leaves over. If ninety-five in a hundred are promised two days, the other five have been promised nothing whatsoever. No time at all is committed for them. The remaining five are not promised three days, or a week. Nothing in the sentence reaches them at all.

A share commitment is completely silent about its own tail, and that silence is a design decision rather than an oversight. Committing to every single item is possible, and some contracts do it. The last few per cent are the ones that are strange, so the cost of covering them is usually enormous. So the sentence stops at ninety-five, and whoever reads the board is expected to notice.

What the commitment says about 100 applications that reach the engine 5 in 100 with no promised time at all 95 decided inside 2 working days Outside the bar altogether: work that never reached the engine, which the sentence never mentions
A share commitment covers 95 of every 100 items that enter the measure, promises nothing at all about the remaining 5, and says nothing whatsoever about work that never entered the measure in the first place.

Sumeru Bank Limited, an invented mid-sized Indian bank, runs a retail personal loan intake chain from a customer starting an application on a handset through to a decision. The bank commits to deciding 95 per cent of applications within 2 working daysSeven hours at this bank, and the unit both the commitment and the exception desk count in.. A working day here is seven hours. Both of those numbers, the 95 per cent and the 2 working days, are the bank's own choices. Neither number is anybody's rule, and neither is a threshold set by a supervisor. Both are what a group of people at one bank decided they could hold, written into a document and reported on every month.

Try it out

A commitment promises 95 per cent of applications decided in 2 working days. What is it not promising?

AI For Finance Bootcamp — Fin Maverick

What are the six things a commitment has to state before anybody can check it?

Here is the practical test. Hand the commitment to somebody who does not work in the team that reports on it and ask them to check the figure. If they can, the commitment is written properly. If they have to come back and ask a question first, the commitment is missing a part. There are six parts, and every question a checker asks turns out to be one of them.

  1. What is counted. One what? One application, one document, one call, one payment. The unit sounds obvious until two teams count differently and their figures stop agreeing.
  2. What starts the clock. The event elapsed time is counted from. The clock start does the most work of the six and gets the least attention, and it is set out in full below.
  3. What stops the clock. The event that ends the measurement, usually an outcome being recorded somewhere.
  4. What is left out, and how much of it there is. Not just the fact of an exclusion but its size. An exclusion without a count is unfalsifiable.
  5. The share, and over what period. 95 per cent, read over a calendar month. A share read over a quarter and a share read over a day are different promises.
  6. What happens when it is missed. Who is told, and whether anything is owed to anybody.

Five of those six are almost always written down. The fourth is almost never written down, so the fourth is the one worth asking for first. Nobody hides it. The people writing the commitment know perfectly well what they are counting, so stating what they are not counting feels like stating the obvious. Two years later, everyone who knew has moved on, and the figure is being read by people who were never told.

A commitment somebody outside the reporting team can check 1 What is counted The unit the share is taken over One completed application and its decision 2 What starts the clock The event elapsed time is counted from The file reaching the decision engine 3 What stops the clock The event that ends the measurement The decision being recorded 4 What is left out, and how much The work that cannot appear in the measure 1,400 of 10,000, being 14.0 per cent 5 The share, and the period The promise, and the window it is read over 95 per cent in 2 working days, read monthly 6 What happens on a miss Who is told, and whether anything is owed Named for the desk, not for the applicant
A commitment that states all six parts can be checked by anybody, and one missing the fourth part can only be checked by the team that already knows what it left out.
Try it out

Of those six, which one is most often left out of the written commitment?

Breaking Into Quants Bootcamp — Fin Maverick

What starts the clock, and what does that one choice decide?

A queue at a government counter behaves the same way. There is a moment a person joins the queue, a moment a token is handed over, a moment the token is called, and a moment the work is done. If the counter measures itself from the token being called, it can report a superb average while people stand for two hours before getting a token. Nobody has lied. The measure is exactly what it says it is. The measure simply begins somewhere that leaves out the part of the experience that hurt.

At Sumeru Bank the clock startThe event from which elapsed time is counted, which decides who can appear in the figure at all. is the file reaching the decision engine. The file reaching the engine is the third of four points on the applicant's timeline. The applicant taps to start, completes digital onboarding by supplying identity, documents and consent, the completed file arrives at the decision engine, and a decision comes back. The clock starts at the third point and stops at the fourth.

Now, and this matters more than anything else in the case, that choice had a reason and the reason was a good one. The chain was designed so that the commitment covered what the bank controls. Everything before the third point depends on the applicant finding their documents, taking a photograph in decent light and getting through a consent screen. Committing to a turnaround over steps that wait on a customer is how teams end up promising things they cannot hold. Nobody at the bank was being clever, and the clock start was a defensible engineering decision made years before anybody read a monthly attainment figure.

The defensible decision quietly decided the population. In the month measured, 10,000 applications were started and 8,600 completed onboarding and reached the decision engine, being 86.0 per cent. The other 1,400 stopped somewhere in between. Because the clock cannot start for a file that never arrives, those 1,400 are not slow, not late, not breaching anything. The 1,400 sit outside the sentence. The clock start did not just decide when to begin counting. The same choice decided who was allowed into the count.

One month at Sumeru Bank Limited, on one timeline what the applicant experiences, end to end the committed window 2 working days, and the clock starts here 10,000 started 8,600 through the same 8,600 8,600 decided The customer taps to start Onboarding completed File reaches the decision engine Decision recorded 1,400 never arrive
The applicant lives through all four points, and the committed window covers only the last leg, so the choice of clock start decides who can appear in the figure before any work is measured.

What stops the clock, and what arguments live there?

The clock stopThe event that ends the measurement, usually the outcome being recorded somewhere. looks like the easy half and it is where the most tedious arguments actually happen. At Sumeru the clock stops when the decision is recorded. Fine. Then the questions arrive, and each of them is genuine.

Is the decision recorded when the engine writes it, or when the applicant is told? The two events can be minutes apart or, on a bad evening, hours. If a person on the exception desk asks the applicant for one more document, does the clock keep running while they wait? Is a file returned to the applicant for correction a decision, a pause, or a fresh file with a fresh clock? Every one of those has a defensible answer, and every one of them moves attainment.

The trouble is never which answer a commitment picks, it is a commitment that has not picked one. The bank genuinely cannot decide a file whose payslip has not arrived, so stopping the clock while waiting on a customer is entirely reasonable. The pause stays reasonable exactly as long as it is written down and the paused time is counted somewhere a reader can see it. An unwritten pause rule is the one place where attainment can quietly become whatever the reporting team needs it to be, without a single person deciding to make it so.

A file is waiting on a document from the customer The clock keeps running The bank carries the wait. Defensible, once it is written down. The clock pauses The customer carries the wait. Defensible, once it is written down. Neither is written down Attainment becomes whatever the report needs it to be.
Both answers to the pause question are defensible and the unwritten third path is not, because an unrecorded pause rule cannot be checked by anybody reading the figure later.
Try it out

A file is sitting with the exception desk, waiting on a payslip from the customer. Should the clock run?

Who is outside the commitment by construction?

Of the month's 10,000 applications, 1,400 never completed onboarding. The shortfall splits three ways: 620 were rejected by the liveness check on the selfie image, 480 abandoned at document upload, and 300 could not complete the consent step. 620 plus 480 plus 300 is 1,400. Why each group stopped is covered separately; what the attainment argument needs is the counts.

The 1,400 are excluded by constructionWork that cannot appear in a measure because of the way the measure is defined, rather than because of how it performed.. Exclusion by construction is not the same as exclusion by a rule somebody could relax, and the difference is worth slowing down on. There is no configuration to change. A clock that starts when a file reaches the engine simply has nothing to start on for a file that never reaches it. The exclusion is a consequence of the definition, and it would survive any amount of good intent.

The 620 rejected by the liveness check are the sharpest case in the whole month, and they deserve to be looked at squarely rather than waved past. Each of those 620 is a person who opened an application, was told no by a component, and then appeared in no turnaround figure the bank produces. Not as a miss, not as a slow case, not as a footnote. 620 people is twice the 310 that the same month's report calls a miss, and the report has a line for the 310 and no line at all for the 620. Cathy O'Neil's argument in Weapons of Math Destruction, 2016, is exactly this shape: the people a measure cannot see are usually the people it is failing, and the measure keeps improving as it loses them.

Every application started in the month, 10,000 in all 8,290 decided inside 2 working days 310 late 1,400 The 1,400 who never reached the engine, redrawn at their own scale 620 liveness rejections 480 upload drop-offs 300 consent Not one of these 1,400 is late. None of them appears in any turnaround figure the bank produces. 620 were told no by a component, and 620 is twice the 310 the same report calls a miss.
Work excluded by construction is invisible rather than late, which is why the 1,400 never surface in an exception report and the 620 liveness rejections never surface anywhere at all.
Try it out

620 applicants were rejected by the liveness check. Where do they appear in the turnaround report?

What happens when the same month is measured two ways?

Here is the month, and the two lines are worth reading slowly because they are the whole argument. Of the 8,600 files that reached the decision engine, 8,290 were decided inside 2 working days. The 8,290 are 96.4 per cent of the 8,600, against a commitment of 95 per cent, so the commitment was met with 1.4 points to spare and 310 files missed. Of the 10,000 applications started that month, the same 8,290 were decided inside 2 working days. The same 8,290 are 82.9 per cent of the 10,000, against the same 95 per cent, missing it by 12.1 points.

The numerator did not move. Nobody recounted anything. The same 8,290 decisions appear in both sentences, measured the same way, by the same system, on the same days. All that changed is the denominatorThe population the share is taken over, which is chosen rather than observed., and the 13.5 points between 96.4 and 82.9 are entirely a decision about who counts. Neither figure is wrong, and that is precisely what makes the pair difficult: a reader shown either one alone has been told something true and has not been told the denominator underneath it.

The month, read two waysFrom the decision engineFrom the first tap
Decisions inside 2 working days8,2908,290
Population underneath8,60010,000
Attainment96.4 per cent82.9 per cent
Against a 95 per cent commitmentmet, by 1.4missed, by 12.1
Applicants who cannot appear1,400none
Numerator: the same 8,290 decisions inside 2 working days, in both rows the 95 per cent commitment Denominator: the 8,600 files that reached the engine 96.4 per cent Denominator: the 10,000 applications started 82.9 per cent 80 85 90 95 100 attainment, per cent. The scale starts at 80. Both rows count the same 8,290 decisions. Only the population underneath them changed.
The same decisions sit on opposite sides of the same commitment depending on the denominator, and the 1.4 point margin on one side is smaller than most readers assume.
Try it out

96.4 per cent and 82.9 per cent describe the same 8,290 decisions. What changed between them?

The natural next thought is that a wider window would fix it. If 2 working days produces 82.9 per cent from the customer's side, surely 3 or 4 would climb towards 95. The answer is worth predicting before it is checked.

Try it out

Before the control below is moved: the committed window is pushed from 2 working days out to 5. Does the reading measured from the customer's first tap reach 95 per cent?

Play with it

Widen the committed window, and watch only one of the two curves get there

One input moves: the committed window, from 1 to 5 working days. Two curves redraw against a fixed line at 95 per cent, one measured from the decision engine and one measured from the application being started, and the population bar underneath recolours to show who has been decided inside the window, who has been decided after it, and who never entered the measure at all.

1 working day2 working days5 working days
Attainment against the committed window 100 90 80 70 60 50 95 per cent committed measured from the decision engine measured from the first tap 96.4 per cent 82.9 per cent 1 2 3 4 5 committed window, working days The month's 10,000 applications at this window 1,400 decided inside the window decided after it never reached the engine, at every window 8,290 decided inside, 310 after, 1,400 never in the measure.
Committed window
2 days
From the engine
96.4%
From the first tap
82.9%

At a committed window of 2 working days, 8,290 of the month's decisions land inside it. That is 96.4 per cent of the 8,600 files that reached the decision engine, which meets the 95 per cent commitment, and 82.9 per cent of the 10,000 applications started, which misses it by 12.1 points.

The bank's own setting is 2 working days, giving 96.4 per cent measured from the engine and 82.9 per cent measured from the first tap. Because 1,400 of the 10,000 never reached the engine, the curve measured from the first tap is capped at 86.0 per cent at every window, and no window brings them back.
Educational illustration. Figures are the invented bank's own and describe one deployment in one month: 10,000 applications started, 8,600 reaching the decision engine, a 7 hour working day, and decisions closing on working days 1 to 5 in the counts 5,590, 2,700, 214, 71 and 25. The spread of the 310 late files across working days 3, 4 and 5 is the bank's own measurement.

The shape is the lesson. The curve measured from the engine crosses the promised line between the first and second working day and then flattens against the ceiling of 100. The curve measured from the first tap climbs the same way and flattens against a ceiling of 86.0 per cent. There it stops forever. Widening a window can only ever help the work that is inside the measure, and no window in the world reaches work that never entered it.

Financial Analyst Program Bootcamp — Fin Maverick

Which attainment report flatters, and which one can be checked?

Every month the figure went up as one line: attainment 96.4 per cent against a commitment of 95 per cent, status met. Everything in that line is true. The line is also unreadable, in the strict sense that a reader cannot get from it to anything they could verify or argue with. There is no way to tell what it is 96.4 per cent of.

The honest version is barely longer. An honest report states the count decided inside the window, both denominators with their attainmentThe share actually achieved against the commitment in the period measured. figures, the number that never entered the measure, and the clock start. Five lines. The fix for a flattering report is almost never a harder commitment. Publish the denominator beside the attainment every single time, and 96.4 per cent and 82.9 per cent arrive together, neither able to travel alone.

As reported, every month Turnaround attainment: 96.4 per cent Commitment: 95 per cent Status: met Every word of it true, and a reader cannot tell what it is 96.4 per cent of, or who could never be in it. The same month, stated so it can be checked Decided inside 2 working days: 8,290 Of 8,600 reaching the engine: 96.4 per cent Of 10,000 applications started: 82.9 per cent Never reached the engine: 1,400 Clock starts: file reaches the engine Five lines, and now anybody can argue with it.
An honest attainment report is two attainment figures, both denominators, the excluded count and the clock start, and it still fits inside five lines on a single sheet.

The error that gets made, and what it costs

The commitment was reported green every month for six months and nobody in the reporting line was misleading anybody. The clock start had been set at the decision engine when the chain was designed, for the defensible reason that this is where the bank's own processing begins and everything before it waits on the customer. The figure was computed correctly from that definition every time.

The consequence was that 1,400 applicants a month were not late, they were absent. A measure that 14.0 per cent of applicants cannot appear in is not a measure of how the bank serves applicants, whatever it is called in the pack. The 620 rejected by the liveness check are the sharpest version: a person told no by a component, in a month where about 96 of those 620 were later estimated to be genuine applicants, and not one of them counted anywhere in a turnaround figure.

The cost is not a fine and not an incident. The cost is six months of a governance meeting believing it had evidence about applicant experience when what it had was evidence about processing after arrival, and six months in which nothing was asked about the 1,400 because the pack contained no line where a question about them could have started. The repair costs one extra line in a report.

Debt Capital Markets Bootcamp — Fin Maverick

What does the commitment cost in capacity, and who pays for it?

A commitment is not held by intention. A commitment is held by having enough people to do the work inside the window, and a turnaround promise stops being a document and becomes a roster right there.

Trace the 310 misses. The chain sends 5,590 of the month's 8,600 files straight through with no person touching them, and those return a decision in about 4 minutes, median. Nothing in that path can take 2 working days. The other 3,010 go to a person on the exception desk. So every single one of the 310 misses came from the 3,010, or 10.3 per cent of the exception work, and the straight-through path contributed nothing to the miss count at all. A turnaround commitment on a chain like this is not a promise about the components, it is a promise about the desk.

The locked distribution makes a further point, and it is one worth noticing because it is easy to read past. The count decided inside one working day is 5,590, exactly the number that went straight through. Not one exception file closed inside a single working day. The whole of the desk's output lands on day two or later, and the commitment and the desk's natural rhythm were designed to sit right on top of each other.

8,290 decided inside the line 5,590 of them in about 4 minutes the 2 working day line 214 71 25 0 1 2 3 4 5 the 310 that missed, by the working day they closed on All 310 are exception files. The straight-through path returns in about 4 minutes and cannot be late.
Every miss the commitment can produce comes from the exception path, and 214 of the 310 close on the very next working day after the line.

Now put a roster against it. The desk handles 3,010 exceptions a month over 20 working days, so 150.5 arrive each working day. Seven people at an assumed 420 minutes each is 2,940 minutes a day, and at 19 minutes a case that closes 154.7 a day. The margin is 4.2 cases a day, being 2.7 per cent of capacity. The desk carries about 285 open cases at any moment, and 285 cases against 150.5 arriving a day is about 1.9 working days of work sitting in the queue. Against a commitment of 2 working days, that is a margin of about a tenth of a working day, or roughly 45 minutes. The queue depth and the margin are arithmetic on the bank's own locked counts rather than a measured waiting time, and they are worth stating as arithmetic.

inside the commitment past it the 2 working day commitment 1.5 1.75 2.0 2.25 2.5 about 1.9 working days in the queue about 45 minutes of margin 285 open cases against 150.5 arriving each working day. Arithmetic on the bank's own counts, not a measured wait.
The commitment is held by a queue about 1.9 working days deep against a 2 working day promise, which is a margin of roughly 45 minutes rather than a comfortable cushion.

Read that margin next to the desk's capacity margin of 2.7 per cent and the picture assembles itself. Seven people at an assumed fully loaded Rs 9,00,000/- a year each is about Rs 63,00,000/- a year, and that spend is what the 96.4 per cent is actually made of. A week carrying 3 per cent more volume turns a stable queue into a growing one, and a growing queue eats the 45 minutes long before anybody sees a red figure in a monthly pack. A turnaround commitment is a capacity promise wearing the clothes of a service promise, and it fails through the roster rather than through the technology.

Try it out

All 310 misses in the month were exception files. Where does that direct attention?

What happens when it is missed, and who is told?

Two things get confused here and they are worth separating. A breachA single item that missed the committed time, as distinct from the commitment as a whole being missed. is one item that took longer than the committed time. The commitment being missed is the month's share falling below the promise. 310 out of 8,600 still leaves 96.4 per cent inside, so Sumeru had 310 breaches and no missed commitment. A breach and a missed commitment are different events with different audiences, and a report that only names the second has 310 stories with nowhere to go.

So ask the four questions in order. Is the breach recorded against the item, so somebody could count them? Is anybody inside the bank told, and how often? Is the applicant told that their decision is running late? Is anything owed when it is late, whether that is a fee waiver, a call, or simply an apology with a revised date? At Sumeru the first two have answers and the last two do not. When nothing at all follows from missing it, a commitment whose last two questions are blank is a target rather than a commitment.

What follows one item missing the committed time Is the miss recorded against the item? Yes, on the case record Is somebody inside the bank told? Yes, the desk head, weekly Is the applicant told the decision is late? Not written down Is anything owed when it is late? Not written down A commitment whose last two rows are blank is a target rather than a commitment.
Whether a miss matters at all is decided by what follows it, and most written commitments answer the first two questions and leave the last two blank.
India

Where the Indian expectations sit

Where a regulated lender commits to a turnaround on a lending decision, the expectations around disclosure to the customer, record keeping and the accountability of outsourced or automated processing sit with the Reserve Bank of India, whose material is published at rbi.org.in, and with the Securities and Exchange Board of India at sebi.gov.in where the deployer is a market intermediary rather than a lender. The current text at the source is what governs. The 95 per cent and the 2 working days at Sumeru are one bank's own choices, not anybody's rule.

Credit Exposure and How It Is Reduced — free micro-course from Fin Maverick

Why does a comfortably met commitment reveal so little?

Think about ten shops in one mall that all share one delivery driver. On average, deliveries are fine. In practice, the shop at the end of the round waits three hours every single day and the shop by the entrance never waits at all. The average is a real number describing nobody's Tuesday.

The intake chain is exactly that. 5,590 files, being 65.0 per cent, come back in about 4 minutes. 3,010 files, being 35.0 per cent, take up to 2 working days. Taking those two path times at face value, the weighted average elapsed time is about 0.7 of a working day. No applicant has ever experienced 0.7 of a working day. Some got an answer while the tea was still hot and some waited two days. An attainment figure over a chain with two paths is an average over two populations that share nothing except a report line.

Two paths through the same chain, on one elapsed time axis the average, about 0.7 of a working day 5,590 files, about 4 minutes, being 65.0 per cent 3,010 files, up to 2 working days, being 35.0 per cent nobody is here 0 0.5 1 1.5 2 elapsed working days from the file reaching the decision engine Taking each path time at face value. The averaging is arithmetic on the bank's counts, not a measured mean.
Two paths through the same chain experience the same commitment completely differently, and the single reported average describes neither of them.

Which is why a green attainment figure is the start of a conversation rather than the end of one. A green figure shows that the desk kept up last month. The figure does not show what it was a share of, how the two paths fared separately, how close the queue ran to its margin, or how many people were never in the count. Every one of those is a question the figure cannot answer and none of them is hostile.

Try it out

A pack lands on the desk: attainment 96.4 per cent against a 95 per cent commitment. What is the next question?

The Risk Management Program bootcamp teaches you to set a limit framework and run it through a breach.

How do three different people actually use this figure?

Ismail Sheikh, who heads the exception desk, reads the commitment as a roster. For him the chain of arithmetic runs one way: exceptions a month, over working days, into arrivals a day, against people times minutes over handling time, into a margin. When somebody proposes tightening the window from 2 working days to 1, he does not argue about the customer promise. He points out that no exception file has ever closed inside one working day, so the proposal is a request to rebuild the desk rather than a request to try harder. The roster arithmetic is the number anybody is actually asking for when they propose a change to a committed window, so they should arrive with it already done.

Neelima Rao, reviewing the chain from the risk function, reads it as a single question: what is this a share of, and who cannot be in it. She does not need to doubt the numerator to find the problem, and she does not need to accuse anybody of anything. Asking for the denominator and the excluded count in writing takes one line in a report request and it converts a green figure into a checkable one. If the answer comes back as an exclusion with no count attached, that is her finding.

An applicant, who is the only person here without a report, experiences none of this. She experiences either four minutes or two days, and if she is one of the 620 she experiences a screen telling her no. The gap between what she experienced and what the pack said is the whole problem, and closing it costs one extra line of reporting rather than a new system.

How the exception desk is staffed and how its queue is worked is covered with the operations material, and what any individual component does is covered where that component is the subject. The legal content of a contract, including how a commitment is drafted, negotiated or enforced between two parties, is covered separately.

Sources

SourceDocumentSite
Reserve Bank of IndiaExpectations on a regulated lender covering digital lending, outsourcing, customer disclosure and record keeping, applying to the lender whatever turnaround it commits to and whatever event it starts its clock onrbi.org.in
Securities and Exchange Board of IndiaExpectations on a market intermediary, where the same kind of turnaround commitment sits inside a regulated intermediary rather than a lendersebi.gov.in
Cathy O'NeilWeapons of Math Destruction, 2016, on measures whose errors fall on a population the measure cannot seeCrown

Sumeru Bank Limited, Ismail Sheikh and Neelima Rao are invented.
Educational material. Not advice on any investment, tax, budget or market position.

← PreviousNext →
Fin Maverick Micro CoursesExplore Micro Courses
Fin Maverick BootcampsExplore Bootcamps
Fin Maverick

Finance education that ends in a job, not a certificate that gathers dust. Built for young India.

LEARN
CalculatorsFrameworksComparisonsCareersShowdown
RESOURCES
All CoursesMicro CoursesBootcampsInternships
COMPANY
AboutJob openingPartnership
LEGAL
Privacy PolicyTerms & ConditionsContent LicenseReturn & Refund Policy
© 2026 FIN MAVERICK / BUILT FOR INDIA.DO FINANCE, DO NOT JUST READ ABOUT IT.