Turn one approved AI decision into a governed, measurable pilot.
The Governed Workflow Pilot is the bridge between a diagnostic recommendation and a production build: one workflow, real constraints, a baseline captured before work begins, and an explicit production decision at the end — advance, redesign, or stop.
Where it sits: the commercial ladder
Each stage answers a different question and ends at a different gate — so a free conversation, a paid diagnostic, and a technical pilot never get confused with each other.
Decision Call
A free working conversation to establish fit: your situation, the decision on the table, and whether the next step is worth paying for. No pitch — if the honest answer is “not yet”, that is the recommendation.
Paid Diagnostic
A structured evaluation of where AI actually pays off in your organization — priorities, economics, constraints, and controls — ending in board-ready artifacts and a clear recommendation on what to build, fix, or stop.
Governed Workflow Pilot
The bridge between recommendation and production. One workflow is built and run under real constraints, against a measured baseline, with acceptance criteria agreed before work begins. This page describes that step.
Production
The workflow that earned its way through the pilot gate is deployed, instrumented, and handed over — with named owners, an operating model, and a review cadence. You own the system; your team runs it.
What “governed” means here
Nine commitments, agreed before the first build day. They are what separate a pilot that produces a decision from a demo that produces a feeling.
A single, named workflow — not a platform, not a portfolio. Narrow enough to measure, real enough to matter.
A named business owner who holds the baseline, the acceptance criteria, and the exit decision.
The data, systems, and access the pilot uses are agreed and documented up front — no fictional data sources.
Current cost, time, and error rate are captured before the pilot starts. Without a baseline, any result is a story.
Consequential outputs pass through a named human approver. Autonomy is earned per step, never assumed.
Outputs carry the evidence behind them — what was used, what was checked — so results can be audited, not just admired.
A fixed window with a fixed end. The pilot concludes with a decision, not an extension request.
What “good enough for production” means — quality, cost, reliability — is written down before the first build day.
The pilot ends with documentation, configuration, and evaluation results you keep — whatever the exit decision is.
Pilot scope
The pilot validates the operating system around the workflow — not only the output.
- —Baseline cost, time, and error rate
- —Value hypothesis and what would disprove it
- —Named owner and human role in the loop
- —Stop criteria agreed in advance
- —Data access, quality, and privacy constraints
- —Model, tooling, and integration choices
- —Security posture and reliability behavior
- —Deployment path in your environment
- —Approval and escalation authority
- —Evidence, evaluation, and telemetry
- —Cost controls and budget visibility
- —Support, change control, and handover
The exit is a decision, not a drift
Every pilot ends at an explicit gate. A third of the value of the pilot is that two of the three outcomes are not “build more” — that is what keeps an attractive demo from quietly consuming a year of capital.
Advance
Value, evidence, ownership, and controls justify production investment. The workflow pack becomes the deployment spec.
Redesign
The opportunity is real, but the scope, process, data, or architecture needs to change before it earns production.
Stop
The economics, data, or operating model do not support production. Stopping here is the pilot doing its job — cheaply.
Where an agentic workflow is the appropriate answer, Meta3Agents provides the governed execution layer — approval authority, evidence, telemetry, and a decision record for each consequential step. Where conventional automation is simpler and more reliable, we recommend that instead; the pilot is how we find out which one you need.
See how Meta3Agents approaches decision records and trust & governance. A first measured workflow instance (anonymized, single run, limitations stated) is published there.
Have a workflow in mind?
The pilot is scoped from diagnostic findings — start there if you haven’t. If you already know the workflow, bring the baseline questions to a decision call and we’ll pressure-test it together.