Financial Services
Systems built for environments where auditability, resilience and regulatory reporting are the design constraints.
Solution
AI Transformation
We help organisations get past the pilot stage — selecting the processes where AI genuinely pays, and building the evaluation and governance that production requires.
“We are under pressure to have an AI strategy, and we have pilots that impressed people but never reached production.”
01Overview
How we think about it
The gap between a convincing demonstration and a production system is mostly unglamorous: evaluation harnesses, access control, audit trails, fallback behaviour and a way to correct the system when it is wrong.
We work from the process backwards. What does this cost today, what accuracy would justify deploying it, and what happens to the cases the system cannot handle confidently? Those answers determine whether a project is viable — and they are usually never asked during a pilot.
We are equally willing to conclude that a process does not warrant AI. A deterministic rule that is right every time is a better outcome than a model that is right most of the time, and considerably cheaper to operate.
02The problem
What is going wrong today
Pilots that never ship
Demonstrations that work on curated examples and collapse against real data volume and variety.
No way to measure quality
No evaluation set, no baseline and therefore no basis for deciding whether it is good enough to deploy.
Governance and data concerns
Unresolved questions about where data goes, who can see outputs and what is auditable.
Integration debt
A model with no path into the systems where the work actually happens.
03The approach
What we put in place
Opportunity assessment
Processes scored on volume, cost, error tolerance and data availability. Most candidates should be rejected.
Governance framework
Data residency, retention, access control and audit decided before build, not during security review.
Evaluation first
A held-out set from your real data and an evaluation harness that outlives the prototype.
Production integration
Deployed into existing workflows with review queues, fallback behaviour and full audit logging.
Operate and improve
Drift monitoring, human corrections captured as training signal, and scheduled re-evaluation.
04Outcomes
What good looks like
Typical results across engagements of this type. Yours will differ — these are the numbers we scope against, not promises.
Measured
Accuracy against a real baseline
In production
Not another pilot
Auditable
Every decision logged and reviewable
Portable
Model provider is a config change
Recognise the problem? The assessment tells you what fixing it takes.
Book a technical assessment06Industries
All industriesWhere it applies
Healthcare
Clinical and administrative systems built to the standards the sector requires — interoperable, auditable and designed for clinical workflow.
Manufacturing
Connecting the plant floor to the systems that plan it — production data, quality and maintenance in one operational picture.
Logistics & Supply Chain
Visibility and control across the movement of goods — from warehouse operations to last-mile delivery.
07Questions
What clients ask first
Next step
Does this sound like your situation?
A fixed-price assessment will tell you what it takes to change it — scope, sequence and cost, before you commit to anything.