Derisk360
Deployment

Agent Evaluation

Agent evaluation measures quality, safety, compliance, and business outcomes for production AI — through automated eval harnesses, red teaming, and continuous FDEE monitoring before and after go-live.

Agent evaluation measures quality, safety, compliance, and business outcomes for production AI — through automated eval harnesses, red teaming, and continuous FDEE monitoring before and after go-live.

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EVAL[ 01 / 05 ]

Evaluation is continuous discipline

One-time QA before demo day is not evaluation. Production eval requires golden datasets from real scenarios, automated scoring against policy, red teams probing injection and jailbreaks, and ongoing sampling of live traffic to detect drift.

Forward Deployed Evaluation Engineers (FDEEs) own this discipline at Derisk360 — embedded with FDEs from discovery through operate.

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

HARNESS[ 02 / 05 ]

What an eval harness includes

Representative test cases including edge cases auditors care about. Automated scoring for accuracy, latency, cost, and policy compliance. Regression gates in deployment pipelines. Production dashboards with alert thresholds and escalation to human review.

COMPARE[ 03 / 05 ]

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[ 04 / 05 ]

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[ 05 / 05 ]

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 →

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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 agent evaluation relate to Derisk360 services?
Derisk360 implements this through AI accelerators and embedded FDEs — book a discovery call to scope your use case.