Frame
Define the process, baseline and success criteria.
Output: opportunity brief + scopeCapability / 07
AI Integration, Governance & Monitoring
Connect AI systems to business applications with scoped permissions, evaluation, monitoring and recovery plans. Assess operational risks and define human oversight; formal certification and legal assurance are outside this technical service.
Where it fits
Production needs proof.
For teams moving from a promising prototype to AI that can be owned and operated responsibly.
What we can build
01Connect a model workflow to enterprise applications
Start with a defined input and a measurable outcome.
02Introduce evaluation and regression checks before releases
Connect the work to approved knowledge and tools.
03Track failures, latency and cost across AI workflows
Keep exceptions and handoffs visible to the team.
What we need from you
Existing architecture, permission requirements, test cases, data flows and operational constraints.
What you receive
An integration plan, access boundaries, evaluation checks, traceability and a support runbook.
Designed-in controls
Controls are designed for the agreed environment. Data location, provider terms and retention are reviewed before implementation.
How success is measured
Regression rate, incident recovery, policy violations and cost per successful task.
Can this start with a smaller scope?
Yes. A bounded workflow lets the team test data readiness, quality and adoption before expanding to additional processes.
How do you handle errors?
We agree confidence thresholds, review queues, escalation rules and recovery behaviour as part of the design. The system is tested against difficult cases before rollout.
The build protocolFrom one bottleneck
From one bottleneck
to a working system.
Clear decisions at each stage. Progress measured against the operation, not the number of features shipped.
Connect
Map knowledge, tools, permissions and handoffs.
Output: system architecture + access planProve
Test representative cases, failures and human escalation.
Output: evaluated workflow + acceptance criteriaOperate
Roll out with ownership, monitoring and improvement.
Output: runbook + performance reviewStart with the friction
Bring us the work that should move.
Show us one process, the inputs it depends on and the outcome it should create. We will map the system around it.
Start a working session