AI Use-Case Strategy & Investment Case
Turn a portfolio of pilots into a funded, sequenced roadmap the board can hold to account.
AI & Automation
AI Production Delivery & Integration
We take AI pilots into production and stay until they run reliably.
Overview
The pilot worked; a year later it is still a pilot. The blockers are rarely the model. They are the data pipelines, integration, controls, evaluation, monitoring and governance route needed to make AI work inside a live process.
Capmark helps institutions take AI systems from pilot to production. We build the data engineering, integration, testing, release controls and monitoring needed for production use, and we plan governance sign-off as part of go-live.
The outcome is a controlled production system: connected to the workflow, monitored in live use, evidenced for approval and owned by the business that depends on it.
What we do
We build the pipelines that take AI systems from pilot to production, including live data volumes, version control, deployment and rollback. Outputs are wired into owned business steps, such as a claims queue, member-service workflow, desk process or system of record.
We build evaluation suites for models, prompts and agent workflows before release. In production, we monitor accuracy, error rates, speed, cost per case and performance drift so issues are visible before they become operational problems.
We assemble sign-off evidence while the system is being built: purpose, limits, test results, monitoring plan, control design and human oversight. Approval becomes a planned delivery milestone, not a late-stage blocker.
We deploy agents inside a defined control envelope: approved tools, explicit permissions, human checkpoints for material actions, failure handling and a complete audit trail. The envelope is designed with risk, security and technology before the agent can act across systems.
We design the run-state before go-live: performance monitoring, change control, incident handling, model and prompt updates, run-cost tracking and ownership. We can operate the service, hand it to your team, or split responsibilities.
What to expect
A Senior Practitioner leads from day one. The first weeks produce a production-readiness assessment across data, integration, controls, monitoring and governance, followed by a delivery plan with clear milestones and acceptance criteria.
We then build in sprints alongside your engineers, test against production-representative data, run every release through the evaluation suite and engage second line from the start.
Engagements range from a production-readiness assessment to full delivery ownership through go-live, hypercare and handover.
Engagements run from a production-readiness assessment to full delivery ownership.
01
Assess
Establish the current state, the constraints, the risks and the value at stake.
02
Define
Shape the target model and the business case with the executives who own the outcome.
03
Mobilise
Stand up the team, the plan and the governance around the outcome.
04
Implement
Design, build and test the change, with the business alongside.
05
Sustain
Cutover, hypercare and handover, so the business runs it under its own control.
The same five stages on every engagement, led by senior practitioners end to end. How we work
Client result
Proven in the work, not the pitch.
Capital Markets · Surveillance
Trade surveillance rebuilt across ETD and OTC flow for a global investment bank
A Leading Global Investment Bank · Trade Surveillance
We helped take market-abuse surveillance from risk assessment and vendor selection through to live platforms across exchange-traded and OTC flow, aligned to market-abuse and market-integrity obligations, with tuning to reduce false positives.
- ETD + OTC
- Flow brought under surveillance
- RFI to live
- Selection through production delivery
- MAR · ASIC
- Obligations aligned
- Multi-year
- Surveillance roadmap defined
Read the case study
Insights
Related thinking.
Get in touch
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