Worked Example · Trinzo AI Operating System
Regulatory Submission Drafting
Where every sentence has to trace to an approved source
Status: illustrative
This is a worked example, not an account of a named client engagement. It shows how the AI and LLM Implementation Playbook applies to a representative workflow. All figures are illustrative and are not measured outcomes. Any organisation applying this method must generate its own evidence for its own workflow, sources, configuration and people.
Submission writing is the case where the failure mode named in the third whitepaper is most exposed. The output is prose, the reader is a regulator, and the characteristic defect of a drafting model is an unsupported claim that reads exactly like a supported one. There is no build that fails, no test that goes red. The only thing standing between a fluent invention and a regulatory filing is whether somebody traced the sentence back to a source.
That makes the verification design the whole engagement. Everything else is arrangement.
Section 1The example at a glance
| Workflow | Drafting defined sections of a regulatory submission from approved source documents and study reports |
| Front Door disposition | FD2 Controlled Regulated Workflow. |
| Regulatory relationship | R1 supports regulated work. Regulatory positioning and strategy remain unassisted. |
| Overlays | Overlay C (US pharmaceuticals and biological products), with Overlay E (clinical development and regulatory evidence) where clinical data is drawn on. |
| Amplification intent | Extend regulatory writer capacity for argument construction by reducing time spent assembling and cross-referencing source content. |
| Configuration baseline | Model, prompt and retrieval index versions are recorded at evaluation. A change to any of them re-opens evaluation at a defined scope. |
| Pilot boundary | Two section types, one submission, one therapeutic area, three named writers. |
Section 2Front Door and regulatory routing
Routing returned R1 without redesign, but with a boundary that had to be drawn carefully. Drafting a section from approved sources supports regulated work. Deciding what position to take with a regulator, which arguments to make and which weaknesses to address directly, is regulatory reasoning and stays unassisted. The distinction is not always obvious in the text itself, because a drafting instruction can smuggle a positioning decision into it.
The design handles this by requiring the writer to set the argument structure before any drafting occurs. The framing gate is not a formality. It is where the regulatory judgement actually happens, and if it is skipped the route is no longer R1.
Section 3Material-step map
| # | Material activity | Task class | Allocation | Consequence |
|---|---|---|---|---|
| 1 | Select and confirm approved source documents and versions | Retrieve | Human-led | Tier 2 |
| 2 | Define section purpose, argument structure and prohibited positions | Human judgement | Unassisted gate | Tier 3 |
| 3 | Retrieve supporting content and locate relevant passages | Retrieve | Collaborative | Tier 2 |
| 4 | Extract data points, results and study parameters | Extract | Collaborative | Tier 2 |
| 5 | Tabulate and convert units, populations and derived values | Transform | Collaborative | Tier 3 |
| 6 | Draft section narrative within the approved structure | Draft | Collaborative | Tier 3 |
| 7 | Trace every claim to an approved source | Human judgement | Unassisted gate | Tier 3 |
| 8 | Verify every numerical value and derivation | Human judgement | Unassisted gate | Tier 3 |
| 9 | Approve section for submission assembly | Human judgement | Unassisted gate | Tier 3 |
Consequence tiers are assessed before crediting any control. Tier 3 means an unchallenged error could affect patient safety, product quality, release or a regulatory position.
Section 4Substantive human gates
| Gate | Position | Required human contribution | Artefact |
|---|---|---|---|
| Source gate | Before retrieval | Writer selects and confirms the approved source and version set, and records where the source estate is silent on a point the section must address. | Approved source list and corpus-silence note. |
| Framing gate | Before drafting | Writer defines the argument structure, the positions that may be taken and those that may not. This is the regulatory reasoning step and cannot be delegated. | Argument structure and prohibited-position statement. |
| Claim-trace gate | After drafting | Writer decomposes the draft into individual claims and traces each to a specific approved source passage. Claims that cannot be traced are removed, not softened. | Claim-by-claim trace with source and page reference. |
| Numerical fidelity gate | After drafting | Writer recomputes every derived value and checks every unit, population, denominator and rounding decision against the source. | Recomputation record and correction log. |
| Approval gate | Before submission assembly | Writer confirms the section states the intended position, addresses known weaknesses and contains no content beyond the traced set. | Approval decision, limitations and residual-issue note. |
A gate is substantive only when passing it requires the person to produce something the machine did not. Approval alone is not a gate.
Section 5Prohibited use
The configured workflow must not:
- Determine regulatory position, strategy or how a weakness is addressed.
- Produce a claim that is not traceable to an approved source.
- Generate, estimate or infer a numerical value not present in the source.
- Draft in a section type or therapeutic area outside the pilot boundary.
- Substitute a summary of a source for the source itself during tracing.
Section 6Evaluation approach
The evaluation described here produces the evidence that feeds validation for intended use. It does not replace it.
The evaluation weighted Draft and Transform heavily, because those carry the Tier 3 consequence. Draft was assessed by claim decomposition against seeded unsupported claims, contradictions between sources, and cases where the correct behaviour was to report that the source estate did not support the point. Transform was assessed by recomputation, with seeded unit errors, denominator substitutions and rounding drift.
The affordability question in Part 3 mattered more here than in most workflows. Claim tracing is slow. If the ratio of verification effort to drafting effort exceeds one, the workflow costs more than writing the section by hand, whatever the drafting time saved. That measure was treated as a pass condition rather than a metric.
The pilot boundary was written as a context of use in the sense used in the FDA draft guidance of January 2025 on AI supporting regulatory decision-making: the specific question the workflow addresses, the section types in scope, and the influence the output has on the eventual regulatory decision. Model risk follows from that influence and the consequence of the decision, which is why the same configuration would need re-assessment for a section type carrying different weight.
Section 7Illustrative evaluation results
| Measure | Unassisted baseline | AI-assisted result |
|---|---|---|
| Evaluation set and period | 18 representative sections plus 21 constructed boundary and failure cases | Same set, ten-week window |
| Median writer effort per section | 11.5 hours unassisted | 7.4 hours AI-assisted |
| Verification Effort Ratio | Not applicable | 0.71 |
| Seeded unsupported claims detected at claim-trace gate | Not applicable | 18 of 18 |
| Seeded numerical errors detected | Not applicable | 11 of 12 |
| Corpus-silence cases correctly reported as unsupported | Not applicable | 7 of 9 |
| Untraceable claims removed rather than reworded | Not applicable | 23 |
| Positioning decisions originating outside the framing gate | Target: none | None observed |
These figures are constructed to illustrate the shape of a defensible result. They are not measured outcomes and must not be cited as evidence of performance.
Section 8Capability and authorisation
| Role | Minimum level | Required capability |
|---|---|---|
| Writers operating the workflow | Level 2 | Prepare approved inputs, operate the configured workflow, recognise stop conditions. |
| Gate operators | Level 3 | Draft and Transform verification competencies, claim decomposition and recomputation, within a Tier 3 ceiling. |
| Regulatory approver | Level 4 | Challenge the evidence base, restrict scope, suspend or retire the workflow. |
| Managers | Role duty | Protect tracing time. This is the control most likely to erode first under submission deadlines. |
Section 9Disposition
Progression decision
Acceptable for a bounded pilot.
Two results prevented a stronger disposition. One seeded numerical error was not detected, which for Tier 3 content is a material finding rather than a rounding of the score. And two of nine corpus-silence cases produced content where the correct output was an explicit statement that the sources did not support the point. Both were accepted as open residuals by the regulatory approver, with defined monitoring and a re-test condition, rather than averaged into an overall pass.
The measure that decided this was the Verification Effort Ratio, not the time saving. A workflow that halves drafting time and doubles review time has moved effort rather than reduced it, and in submission work it has moved effort from a step people are good at to one they are worse at. The ratio is the only number in the results table that would have stopped the pilot on its own.
Records and retention, supplier and platform qualification, audit trail and signature controls, and the linkage to corrective action are all in scope for the method and are handled in the playbook itself. They are deliberately out of scope here so this remains readable in ten minutes.
The method described here is set out in full in the Trinzo AI and LLM Implementation Playbook. The reasoning behind it is developed across the three whitepapers in The AI Capability Series, particularly the third, which deals with verification and gate design.
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