Is the workflow ready to scale?
Test realistic cases, exceptions, handoffs, review, recovery, operating value, and release conditions.
Production Assurance
Decide whether the AI workflow is ready to buy, scale, redesign, or stop.
One 4–6 week assurance engagement for an internally built product, agentic system, pilot, vendor, or AI-enabled workflow approaching a purchase, launch, renewal, or scale decision.
Test
Observe
Prove
Observe
Prove
Two tracks, one commercial decision
Production Assurance tests what the organization is about to depend on.
The track changes with the buyer trigger. The underlying work still examines the complete workflow, evidence, operating gaps, and acceptance conditions.
Is the product worth buying, expanding, or renewing?
Assess requirements fit, vendor claims, implementation burden, pilot design, acceptance gates, and commercial risk.
What the engagement produces
The deliverable is an executive decision supported by operating evidence.
A credible evaluation compares the proposed system with current practice, fixed rules, confidence thresholds, blanket review, or another appropriate baseline.
Requirements and workflow model
Define the decision, operating conditions, dependencies, and what the system must prove.
Realistic assurance cases
Test ordinary work, missing evidence, conflict, exceptions, human handoffs, and recovery.
Acceptance and release gates
State what justifies purchase or scale and what requires redesign, delay, or stop.
Executive recommendation
Provide a clear buy, scale, redesign, renegotiate, defer, or stop recommendation.
Commercial scope
Four to six weeks. Typical investment: $45,000–$95,000.
Scope depends on the number of systems, workflow variants, vendors, operating sites, data access, and validation depth. DCP is a separate product path when the live workflow needs continuing decision control.
What increases scope
Additional workflow variants, vendors, operating sites, security reviews, data preparation, or deeper integration analysis.
What is not included
Production implementation, platform licensing, or an indefinite testing program. Those are scoped separately after the commercial decision.
What happens afterward
Leadership receives a buy, scale, redesign, renegotiate, defer, or stop recommendation and a defined path for any approved next phase.
How the engagement runs
The work is bounded before it begins.
Access, staff time, checkpoints, and the final decision are explicit from the start.
01
Week 1
Agree on the decision, claims being tested, operating scenarios, and evidence required.
02
Weeks 2–3
Review the workflow under realistic exceptions, handoffs, human review, and recovery conditions.
03
Weeks 3–5
Compare evidence against acceptance gates and identify where production dependence is not justified.
04
Week 6
Deliver the executive recommendation and the conditions that must be met before the next commitment.
What you receive
What the assurance decision contains
The final recommendation is written for the executive who must decide whether the organization should depend on the system.
Format
Executive assurance report with operating scenarios, findings, acceptance gates, and a proceed, redesign, or stop recommendation.
Artifact
Typically 15–30 pages plus a concise decision briefing for the sponsor and responsible operators.
Recipients
Executive sponsor, product or program owner, operations, risk, procurement, architecture, and vendor-management leaders.
Leadership decision
Whether to buy, scale, renew, redesign, constrain, or stop the pilot, vendor, or workflow.
A redacted example can be walked through on a call. The artifact does not leave the live conversation.
Buyer questions
Questions about Production Assurance.
Production evidence begins when the complete workflow has been tested under realistic conditions.
When should an organization use Production Assurance?
Use Production Assurance when a pilot, vendor, agent, or workflow is approaching a purchase, launch, renewal, expansion, or production decision and leadership needs evidence for what should happen next.
What is included in the engagement?
The engagement includes workflow and requirements definition, realistic operating cases, gap analysis, acceptance and release gates, and an executive recommendation to buy, scale, redesign, renegotiate, defer, or stop.
How is Production Assurance different from DCP?
Production Assurance supports a bounded purchase or production decision. DCP is a licensed runtime control platform that governs whether a current AI-influenced action may proceed as the case, evidence, people, and conditions change.
Can Production Assurance evaluate a product GNS-AI designed or built?
Yes. The assurance decision uses agreed operating evidence and acceptance conditions whether the product was built by GNS-AI, an internal team, or a vendor. The scope and findings remain separate from the development work so leadership can judge whether production dependence is justified.
Start with the current decision
Request a Production Assurance scope.
Bring the pilot, vendor, or workflow decision and the evidence leadership still needs.
Commercial entry points: AI Decision System Working Session, AI Decision System Blueprint, Production Assurance, or DCP Shadow Pilot.