Pilot to Production
Pilot to production is the transition from proof-of-concept to governed, operational AI in live business processes — requiring unified context, evaluation, embedded delivery teams, and 24/7 operations accountability.
Pilot to production is the transition from proof-of-concept to governed, operational AI in live business processes — requiring unified context, evaluation, embedded delivery teams, and 24/7 operations accountability.
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The pilot-to-production chasm
Proof-of-concepts prove that a model can perform a task on sample data. Production proves that governed agents can perform that task at scale — in your core systems, under regulatory scrutiny, with audit trails and SLAs.
The average gap between POC and production in financial services exceeds 18 months. Programmes burn budget on repeated pilots because each iteration skips the hard parts: context engineering, policy controls, integration with legacy systems, and operational runbooks.
Crossing the chasm is not a bigger pilot. It is a different delivery model — structured accelerators with embedded Forward Deployed Engineers who implement in your environment and stay accountable through go-live.
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
Production readiness checklist
Unified context layer connecting every source system agents consume — via MCP and knowledge graphs, with field-level governance.
Automated eval harnesses and red team results documented for model risk and compliance.
Policy engines and human-in-the-loop for high-stakes actions.
Private cloud deployment with encryption, access controls, and audit logging.
FDEE-led 24/7 monitoring, incident runbooks, and escalation paths.
Business metrics tied to agent outcomes — not demo accuracy alone.
Step-by-step implementation.
- 1
Stop funding generic pilots
Scope one high-value use case with executive sponsorship and production success criteria — not another open-ended POC.
- 2
Embed FDEs for discovery
Forward Deployed Engineers map workflow, data lineage, and compliance constraints inside your business.
- 3
Unify context first
Stand up MCP connections and governed retrieval before configuring agents — Layer 01 of the 4-Layer Stack.
- 4
Evaluate before go-live
FDEEs run harnesses and red teams against real scenarios and regulatory policies.
- 5
Deploy in your VPC
Go live with audit trails, policy engines, and human escalation paths.
- 6
Operate continuously
24/7 monitoring, tuning, and incident response — not launch-and-leave.
Side-by-side comparison.
| Aspect | Traditional approach | Derisk360 |
|---|---|---|
| Context | Sample datasets, manual exports | Unified governed context layer via MCP and graphs |
| Evaluation | Demo-day spot checks | FDEE-led eval harnesses and policy controls |
| Operations | Team disbands after pilot | 24/7 managed monitoring and tuning |
| Accountability | Success = proof-of-concept | Success = governed production outcomes |
Four phases to production go-live.
Embed & discover
Embed FDEs to scope the use case crossing from pilot to production — with compliance and data access confirmed.
Unify context
Connect source systems into a governed context layer — MCP, knowledge graphs, and field mapping in your environment.
Configure & evaluate
Build governed agent workflows, run eval harnesses, and tune against your policies before go-live.
Deploy & monitor
Go live with FDEE monitoring and operational runbooks — accountability does not end at launch.
Production outcomes, not pilot metrics.
Typical accelerator go-live in regulated enterprise environments.
Production uptime for governed agent workloads post go-live.
Faster financial close via agentic reconciliation in banking.
Related resources
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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 pilot to production relate to Derisk360 services?
- Derisk360 implements this through AI accelerators and embedded FDEs — book a discovery call to scope your use case.