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.
From a recent Discovery
An energy company operating across 23 countries found 23 unregistered AI capabilities running in production. None had an owner. None had a scope contract. All were discovered in two days.
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.
Two questions
How many AI capabilities are running in your organisation right now?
How many of them have a named owner, a defined scope and a quality score?
If the gap between those two answers is larger than zero, Discovery will find it.
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
Two days. A written baseline of everything your organisation has deployed, approved or otherwise. Most organisations find capabilities they did not expect. The baseline pays for itself before the engagement ends.
Deliverable — AI estate baseline, trust level map, gap register.
Request Discovery pricing →TIER 2 · 4 WEEKS
Foundation
Four weeks. ENGRAM installed, five capabilities registered and scored, Quality Ledger live, roles assigned. You leave with a working operating model — not a document. The first review cycle is completed before we finish.
Deliverable — Installed ENGRAM cycle, five registered capabilities, first Quality Ledger scores, trained owners.
Request Foundation pricing →TIER 3 · ONGOING
Scale
Ongoing. AI Guardian deployed as your live inventory. Managed review cycles, Logos audit trail, quarterly board report. For organisations running more than ten AI capabilities where the cost of getting it wrong exceeds the cost of governance.
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. EU AI Act Article 9 requires documented risk management for high-risk AI systems. Discovery produces the baseline documentation required.
EU AI ACT
Article 9 requires documented risk management for high-risk AI systems. Discovery produces the written baseline. Foundation installs the ongoing governance. Both are audit-ready from day one.
Two people. One conviction.
Governed AI by FIDEVO/AI is built by Leonard Hrihoreanu and Cătălin Dumitrescu. Leonard has spent eighteen years delivering enterprise technology across forty countries — most recently as AI Orchestration Lead at a global renewable energy company. Cătălin leads commercial strategy and client partnerships.
We built ENGRAM because we needed it ourselves. The methodology governs every AI capability we deploy — including the ones that power this site. We are not selling a framework we designed in a workshop. We are selling the system we run every day.
FIDEVO/AI LABS LIMITED · Company number 17386840 · England and Wales · engram@fidevo.eu
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.
Two sentences about your situation is enough. We will reply within 24 hours with a preliminary assessment — no call required at this stage.
Or write directly: engram@fidevo.eu