Derisk360
Deployment

AI Governance for Production

AI governance for production means policy engines, audit trails, risk tiering, human-in-the-loop, and FDEE-led evaluation engineered into agents before go-live — not policy PDFs added after a compliance incident.

AI governance for production means policy engines, audit trails, risk tiering, human-in-the-loop, and FDEE-led evaluation engineered into agents before go-live — not policy PDFs added after a compliance incident.

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PRODUCTION[ 01 / 06 ]

Governance is engineering, not paperwork

Regulated enterprises need governance that runs in production: every agent action authenticated, authorised, logged, and explainable. Policy engines enforce rules before execution. Human reviewers handle exceptions. Model risk receives eval evidence, not demo recordings.

Derisk360's Evaluation & Guardrails accelerator implements governance as code alongside agent configuration — designed for FCA, PRA, and internal model risk frameworks.

Key takeaways

Addresses the #1 reason enterprise AI fails — deployment risk

4-Layer Intelligence Stack architecture

Embedded FDEs with 24/7 FDEE oversight

Governed production go-live typically under 12 weeks

CHECKLIST[ 02 / 06 ]

Production governance checklist

Use case risk tier documented and approved. Policy engine rules mapped to regulatory requirements. Audit trail for all agent decisions and tool calls. Eval harnesses and red team results on file. Human-in-the-loop paths for high-impact actions. 24/7 monitoring and incident runbooks post go-live.

STEPS[ 03 / 06 ]

Step-by-step implementation.

  1. 1

    Tier the use case

    Classify by regulatory impact, data sensitivity, and automation level — apply proportional controls.

  2. 2

    Map policies to agent actions

    Translate business and regulatory rules into policy engine configuration before agents execute.

  3. 3

    Engineer audit trails

    Log decisions, tool calls, and data access with explainable outputs for auditors.

  4. 4

    Run eval and red teams

    FDEE-led harnesses and adversarial testing before production submission to model risk.

  5. 5

    Define human escalation

    Approval paths for low-confidence or high-stakes agent recommendations.

  6. 6

    Operate with oversight

    Continuous monitoring, sampling, and remediation — governance does not end at go-live.

COMPARE[ 04 / 06 ]

Side-by-side comparison.

Comparison of traditional approach and Derisk360 delivery
AspectTraditional approachDerisk360
ContextSample datasets, manual exportsUnified governed context layer via MCP and graphs
EvaluationDemo-day spot checksFDEE-led eval harnesses and policy controls
OperationsTeam disbands after pilot24/7 managed monitoring and tuning
AccountabilitySuccess = proof-of-conceptSuccess = governed production outcomes
HOW WE DELIVER[ 05 / 06 ]

Four phases to production go-live.

01 / PLUG IN

Embed & discover

FDEs embed inside your business, learn the domain, and scope the highest-value use case for this accelerator.

02 / INGEST

Unify context

Connect source systems into a governed context layer — MCP, knowledge graphs, and field mapping in your environment.

03 / BUILD

Configure & evaluate

Build governed agent workflows, run eval harnesses, and tune against your policies before go-live.

04 / RUN

Deploy & monitor

Go live securely in your cloud with FDEE-led monitoring, continuous evaluation, and proactive tuning.

PROVEN[ 06 / 06 ]

Production outcomes, not pilot metrics.

<12wks

Typical accelerator go-live in regulated enterprise environments.

99.98%

Production uptime for governed agent workloads post go-live.

−40%

Faster financial close via agentic reconciliation in banking.

See customer outcomes →

Related resources

Ready for an AI implementation partner?

Book a discovery call and we'll map your highest-value use case — and exactly how we get it into production.

AGENTS DEPLOYED IN PRODUCTION · MONITORED 24/7

Frequently asked questions

How does Derisk360 deliver this in production?
Derisk360 embeds Forward Deployed Engineers, runs structured AI accelerators, and implements governed agentic systems in your environment — with evaluation and managed operations built in from day one.
Is Derisk360 a software vendor?
No. Derisk360 is an enterprise AI services firm. You engage us for production outcomes through accelerators and implementations, not licensed shelfware.
How do I start an engagement?
Book a discovery call at derisk360.com/book. We map your highest-value use case and scope an outcome-based accelerator tailored to your industry.
How does ai governance for production relate to Derisk360 services?
Derisk360 implements this through AI accelerators and embedded FDEs — book a discovery call to scope your use case.