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Banking · Process Intelligence
Americas Pilot, then scaled programme

Process Intelligence for a Major US Bank

End-to-end process intelligence on B2B customer onboarding and payment-exceptions handling — exposing bottlenecks and compliance gaps hidden across systems and human touch-points.

Client
Major US bank
Region
Americas
Engagement
Pilot, then scaled programme
EVENT LOG → DISCOVERED PROCESS · 126 PRODUCTS · 1,600+ ACTIVITIESApplication50M casesKYC check38M casesDoc request12M casesRisk review41M casesApproval35M casesRework9M casesAccount live44M casesRework loop · +6.3 days median

2 wks

From data access to first working pilot

126+

Products seen end to end for the first time

1,600+

Activities discovered from the logs, not interviews

50M+

Events behind every finding

Requirement

The challenge

The bank's B2B customer-onboarding process spans 126+ products, each with its own workflow. No single team could see the process end to end, so delays, hand-off failures and compliance gaps were reported after the fact — if they were reported at all.

Payment-exceptions handling had the same problem in a different shape: domestic and international transaction flows passing through both systems and human touch-points, with no objective record of where cases stalled.

Approach

How we went about it

  1. 1

    Prove it on one product family

    We connected to the workflow, core-banking and case-management systems, harmonised their event logs into a single case timeline, and delivered a working pilot on one product family within two weeks.

  2. 2

    Scale to the full onboarding estate

    With the event model proven, we extended it across every product: 1,600+ distinct activities and 50M+ events, discovered from the logs rather than drawn from interviews.

  3. 3

    Extend to payment exceptions

    The same approach was applied to payment-exceptions handling — 250+ activities across system and human touch-points, for both domestic and international workflows.

  4. 4

    Turn findings into a roadmap

    Bottlenecks, rework loops and compliance deviations were quantified by product and by team, and prioritised into an improvement roadmap the business could act on.

SCALE-OUT · ONE METHOD, THREE STAGESEVENT-LOG BASEDPILOT1product family2 wksto working pilotWEEK 2ONBOARDING ESTATE126+products1,600+activities50M+eventsSCALE-OUTPAYMENT EXCEPTIONS250+activities2flows: domestic + intlSECOND PROCESSEVENTS ↑
From a two-week pilot on one product family to the full onboarding estate, then payment exceptions.
Solution

What we delivered

  • Harmonised event log across workflow, core-banking and case-management systems.
  • Discovered process models for every onboarding product and for payment exceptions.
  • Bottleneck, rework and conformance analysis by product, team and transaction type.
  • A prioritised improvement roadmap grounded in measured process performance.

Outcomes

What changed for the client

  • An objective view of where onboarding actually stalls, by product and by team.
  • Compliance and hand-off failures detected from the event log rather than reported after the fact.
  • A single, evidence-based improvement roadmap instead of competing anecdotes.
  • A repeatable method: the second process (payment exceptions) was onboarded far faster than the first.

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OPEN ORDERS · SCORED WHILE THEY RUNOrder receivedCredit checkPick & packShippedDelivered#20471 · Order · 2-day promiseAT CREDIT CHECK · 3.2 DAYS82%→ Release hold, expedite#20458 · Order · partial stockAT PICK & PACK · 1.1 DAYS41%→ Split shipment#20463 · OrderAT SHIPPED · 0.4 DAYS12%On trackLATE-DELIVERY PROBABILITY · MODEL ON ORDER ATTRIBUTESLATE DELIVERIES · LAST 12 WEEKSAGENT ACTIONS · LOGGED TO THE EVENT LOGRELEASE HOLD · SPLIT SHIPMENT · RE-ROUTE CARRIER

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