Turn workflow evidence into intervention decisions that withstand challenge
AI-assisted Process Excellence for enterprise banking teams that need to investigate more operational problems without lowering the evidence, challenge or control bar.
Leania accelerates the repeatable analytical work around baseline, evidence gaps, candidate drivers and intervention options. Experienced practitioners retain responsibility for challenge, validation and the final decision.
Built for VPs, Directors and Heads of Process Engineering, Process Excellence and Operational Excellence in large banks — and the practitioners who run their investigations.
More operational problems to investigate than expert capacity to investigate them rigorously
The expensive work runs from a problem being raised to a decision: evidence gathered, a baseline established, candidate causes tested, findings challenged, an intervention selected and its economics built.
The constraint is expert time, elapsed time and inconsistency in getting from evidence to a decision that withstands challenge. Exceptions, rework and waiting are what an investigation finds; the capacity to investigate them rigorously is what runs short.
This is the situation Leania is designed for. It is not a claim that every bank has it.
Between a problem being raised and a defensible decision
- Operational problem
- Evidence
- Analysis
- Challenge
- Cause confidence
- Intervention options
- Economic case
- Human decision
Leania sits upstream of implementation. It helps Process Excellence teams determine what the evidence supports before engineering capacity, automation effort or AI investment is committed.
Accelerate the analysis. Keep the judgement.
AI can accelerate evidence organisation, first-pass analysis, identification of gaps and preparation of candidate findings. It does not autonomously validate root causes, approve recommendations or replace practitioner judgement.
The practitioner remains responsible for validating evidence, challenging findings and deciding whether an intervention is justified.
This is AI assisting the analysis of a case. Whether AI is the right response to the problem is a separate question, answered on the evidence below.
AI is not the default intervention.
The objective is not to generate more AI use cases. It is to establish which response the evidence justifies.
Process first. Intervention second.
The right intervention may be process redesign, upstream prevention, training, automation or AI. The evidence determines what deserves investment.
- Stop
- Simplify
- Standardise
- Workflow
- Automate
- AI
The preferred intervention is the simplest one that reliably achieves the outcome and clears the economic and control threshold.
Capability validation — not a production deployment
Testing AI-assisted Process Excellence against a banking operations case
Leania’s founder worked directly with senior Process Engineering and Automation stakeholders inside a global bank to explore how AI could assist structured process-improvement analysis. A working demonstrator was developed around a representative banking operations workflow, and stakeholder feedback informed the work that followed.
This work demonstrates requirements discovery, working capability demonstration and enterprise stakeholder feedback. It does not represent a production deployment, realised-benefit case or client endorsement.
No realised-benefit banking case is currently published.
What a first engagement measures
A first engagement establishes whether AI assistance materially changes practitioner effort, elapsed time and decision quality on a representative case. No productivity claim is made before that comparison is measured.
- Practitioner active analysis and review time
- Elapsed time to a review-ready case
- First-pass expert acceptance
- Corrections and rework
- Traceability completeness
- Unsupported material claims
- Time to a validated intervention
Process Excellence Decision Sprint
Test the approach on one representative banking workflow against your current practitioner path: the same case, judged against criteria agreed in advance.
What you hold at the end
- A review-ready improvement case
- A practitioner challenge log
- An intervention decision
- An effort and elapsed-time comparison
- Quality and traceability findings
- A recommendation on further evaluation
Improve how our Process Excellence team works
The Process Excellence Decision Sprint: one representative case, compared with how your team works it today.
Investigate this specific operational workflow
The Workflow Evidence Sprint, for an operational process owner with one workflow to examine.
One engagement, two stages, one decision between them
21 working days to a Pilot Blueprint
- Stage 1 · Working days 1–10Establish, then Diagnose & Select
Build the evidence and the baseline, find where capacity is actually going, and select the intervention worth testing.
Ends in a GO / STOP decision on the evidence.
- Stage 2 · Working days 11–21Design, then Specify & Challenge
Design the future state to the depth the selected intervention requires, then specify the pilot and challenge its assumptions.
Ends in the Pilot Blueprint and a GO / CHANGE / STOP pilot decision.
Stage 1 runs working days 1–10 and ends in a decision. If the evidence doesn't justify continuing, the engagement ends there: you keep the evidence and pay only for Stage 1. If it does, Stage 2 takes the selected intervention to a Pilot Blueprint by working day 21.
£7,500 to start. Stage 2 (£9,500) only if the evidence justifies it.
£17,000 — Total if both stages run, for one bounded workflow. Larger scopes are quoted.
What you will know at the end
Where is capacity actually being consumed?
What does a unit of this work cost today?
What happens to that as volume rises?
Which response has the strongest economics?
What should be funded in the next 90 days?
Pick the first workflow
The representative case is usually drawn from a high-volume workflow where exceptions, repair, repeated handling or waiting create material cost.
- Payments operations
- Account servicing
- Customer onboarding and KYC operations
- Reconciliations
- Complaints and remediation
- Lending and servicing operations
- Transaction exception handling
- Realised cash benefit
- Delivered operational performance improvement
- Cost avoidance
- Capacity released
- Identified opportunity
- Forecast business-case value
What it is worth
There is no published synthetic banking case, so this page carries no illustrative figure. What the engagement establishes is the same either way: what one high-volume workflow costs to run, where the avoidable effort sits, and whether an intervention is justified.
Every input stated separately, so finance can challenge any one of them
Leania separates delivered results, released capacity, identified opportunity and forecast value so leadership can see exactly what has — and has not — been achieved.
What we do not do
Leania examines operational workflow performance and intervention choices. It does not provide regulatory, compliance, legal, credit or financial-crime advice, or make regulated banking decisions. Where technical build is required, it is delivered by the client's existing technology team or vetted specialist delivery partners against Leania's requirements, acceptance criteria and quality controls.