Governed AI Delivery
Your company has AI running right now that nobody can fully explain.
Not because your team is careless. Because there has never been a governed way to deploy AI at enterprise speed and still be able to answer for it.
ENGRAM is that way.
Three situations. One missing layer.
Sound familiar?
Your company has AI running right now that nobody formally approved.
Or this?
Someone asks who is responsible if the model gives wrong output. Nobody has a clear answer.
Or this?
A new AI tool gets adopted by a team. IT finds out three months later.
None of these are failures of intention. They are failures of infrastructure. The missing layer is not a policy document. It is an operating cycle — one that runs every time a new AI capability is introduced, and keeps running for as long as it is live.
ENGRAM. Seven steps. One principle.
The principle is simple: autonomy is earned, not assumed. Every AI capability starts at the lowest trust level and rises only on evidence. The cycle is what produces that evidence.
- 0REGISTER
Before anything is built, a Skill Registration Card exists. Owner, scope, limits — on record.
- 1DECLARE
A Trust Level is assigned. L1 to L5. Nothing starts above L1. Ever.
- 2SCOPE
The capability is bounded: what it may read, write and decide. Nothing outside that boundary.
- 3RUN
It executes within its declared scope. Not wider. Not longer than authorised.
- 4SCORE
Every result is measured. R×U ≥ 0.75 to hold position. Below threshold: review, not silence.
- 5LOG
Every decision, exception and result is recorded. The audit trail is not optional.
- 6PROMOTE
Trust Level rises on evidence. It falls the same way. Nobody decides by instinct.
- →LOOP
The cycle repeats. A mature AI estate is a distribution across trust levels — not a list of things that have been running a long time.
ENGRAM · Registration Card
- Product
- ENGRAM — Governed AI Delivery Operating Model
- Owner
- Fidevo / AI
- Version
- 1.0
- Trust Floor
- L1 on registration. No capability starts above L1.
- Scope
- Policy, delivery, audit and earned autonomy for AI capabilities
- Limitation
- ENGRAM does not replace legal or regulatory compliance advice. Results are measurable business outcomes, not assurances.
Every ENGRAM capability is registered like this — including this page itself. The methodology demonstrates itself before asking you to trust it.
Two people. Same organisation. Both need this.
CIO / ITLT
You are responsible for what AI does in the organisation.
If an AI capability causes harm, the question will come to you. ENGRAM gives you an inventory of what is running, a policy framework that limits unauthorised autonomy, and an audit trail that shows every decision made and who made it.
What you get — Trust Pyramid policy, AI estate inventory, autonomy governance, audit-ready documentation.
AI Programme Lead
You are building AI capabilities and need to be able to stand behind them.
ENGRAM gives you a repeatable delivery cycle, a scoring mechanism that measures real-world performance, and promotion criteria that are objective — so the next capability you ship has an owner, a version, a quality gate, and a path to higher autonomy that anyone can audit.
What you get — Delivery cycle, Quality Ledger, Skill Registration Cards, Logos decision log.
Three ways in. One place to start.
Every engagement begins with Discovery. That is where we find out what you actually have — not what you think you have. Pricing is by arrangement.
TIER 1 · 2 DAYS
Discovery
We audit your current AI estate. Map what is running, assign provisional trust levels, identify the gaps. You leave with a written baseline — the first honest picture of what your organisation has deployed.
Deliverable — AI estate baseline, trust level map, gap register.
Request Discovery pricing →TIER 2 · 4 WEEKS
Foundation
ENGRAM is installed in your organisation. Trust Pyramid policy written. First five capabilities registered, scoped and scored. Quality Ledger live. Roles assigned. First review cycle completed. You leave with a working operating model — not a document that will gather dust.
Deliverable — Installed ENGRAM cycle, five registered capabilities, first Quality Ledger scores, trained owners.
Request Foundation pricing →TIER 3 · ONGOING
Scale
AI Guardian deployed as your live inventory and monitoring layer. Ongoing Quality Ledger reviews, promotion decisions, Logos audit trail, ENGRAM governance as a managed service. For organisations running more than ten AI capabilities — where the stakes of getting it wrong are real.
Deliverable — AI Guardian live, managed review cycle, audit-ready Logos log, quarterly board report.
Request Scale pricing →Already running. Not a proposal.
ENGRAM governs the Fidevo product estate. Every claim on this page has been tested against a real AI capability in a real organisation.
AI GUARDIAN
Live end-to-end reference implementation — inventory, trust levels, Quality Ledger and Logos running in production. Not a prototype.
3
Large enterprises in live pilot. Each one started with a Discovery. Each one found things they did not expect.
L1 → L5
Full Trust Pyramid implemented, with promotion criteria and demotion triggers defined and tested against real capabilities.
F17
Sixteen Symbiote capabilities plus MY10. All governed under ENGRAM at the architecture level. The methodology eats its own cooking.
Start with what you actually have.
Discovery takes two days. It produces a written baseline — the first honest picture of your AI estate. Most organisations find things they did not expect. That is the point.
Or write to us directly: engram@fidevo.eu