AI Use-Case Strategy & Investment Case
Build and prioritise an AI portfolio against business value, feasibility, data readiness, control requirements and total cost.
AI & Automation
AI Production Delivery & Integration
Integrate AI into the systems and workflows your business uses.
Overview
What this means for your business.
Production AI brings a model together with data pipelines, enterprise integration, evaluation, monitoring and an operating owner. Those elements determine how the capability will be used and maintained.
Capmark develops the engineering and implementation required to move a use case into a business workflow. Our support spans deployment, versioning, regression testing, access, human oversight and exception handling.
We work with business, technology and governance teams on operational requirements and evidence, with runbooks and ownership considered alongside the build.
What we do
The expertise we bring.
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 team shaped around the work.
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.
Support can address production readiness, a specialist engineering workstream or implementation of the complete application.
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
Relevant client experience.
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.
- ~65%
- Fewer false-positive alerts after model tuning
- 2
- Regimes aligned: MAR and ASIC market integrity rules
- ETD + OTC
- Flow brought under surveillance, on every venue and channel
Read the case study
Insights
Related perspectives.
Get in touch
Discuss AI Production Delivery & Integration.
Tell us what you are working through and the expertise you need.