Fidevo AI Labs

Where AI methodsare made andgoverned.

AI Governance sets the rules for what AI may do. AI Delivery is the engine that ships inside those rules.

Read the two lines

ENGRAM · AI Guardian · Metaskill · AI Handover

Authority before autonomy.
Evidence before trust.

AI Governance

The rules for what AI may do. ENGRAM registers every model, agent and skill with a mandate, a risk boundary and an earned trust level; AI Guardian reviews what Fidevo's AI-assisted work actually produced.

ENGRAM and AI Guardian

AI Delivery

The engine that ships within those rules. Metaskill puts governed AI micro-apps inside Microsoft 365; AI Handover keeps verified state, decisions and next actions so work resumes without rework.

Metaskill and AI Handover

One system from capability idea to governed enterprise operation.

Four products,
one delivery path.

Operating model · AI Governance

ENGRAM

The operating model for governed AI delivery: give every AI capability an owner, a boundary, an evidence trail and an earned level of autonomy.

Start with one capability. Let evidence, not optimism, decide how far it may go.

The ENGRAM site (opens in a new tab)

How a capability moves

  1. 01AI idea
  2. 02Registered capability
  3. 03Bounded pilot
  4. 04Evidence review
  5. 05Earned autonomy

Connects to Metaskill, AI Handover and AI Guardian.

Enterprise control plane · AI Governance

AI Guardian

Enterprise AI governance, security and assurance control plane: see, approve, protect and audit the AI estate from intake to production.

Turn an uncontrolled AI estate into a governed, defensible and scalable operating system.

How the estate is controlled

  1. 01Discover
  2. 02Classify
  3. 03Approve
  4. 04Protect
  5. 05Prove

Connects to ENGRAM, Metaskill and AI Handover.

Delivery factory · AI Delivery

Metaskill

Governed micro-app delivery inside Microsoft 365: turn spreadsheet backlogs into controlled applications without adding another external platform.

Convert one manual process into a governed working app, then scale only what proves value.

How a backlog becomes an estate

  1. 01Manual backlog
  2. 02Paid pilot
  3. 03Production micro-app
  4. 04Governance review
  5. 05Scaled app estate

Connects to ENGRAM, AI Handover and AI Guardian.

Continuity ledger · AI Delivery

AI Handover

Operational memory that survives the conversation: preserve verified context, decisions, errors and next actions so people and agents can restart without rework.

End every critical AI session with a record the next person, or agent, can actually trust.

How work carries forward

  1. 01Working session
  2. 02Structured capture
  3. 03Verified state
  4. 04Controlled handover
  5. 05Immediate continuation

Connects to ENGRAM, Metaskill and AI Guardian.

The AI delivery loop,
in nine steps.

  1. Register

    Every model, agent and skill is entered with a named owner and mandate.

  2. Level

    Each capability starts at trust level L1 and is promoted only on evidence.

  3. Scope

    The risk boundary is written down before any work is delegated.

  4. Contract

    Inputs, outputs and refusal conditions are fixed as a testable contract.

  5. Build

    The delivery factory ships the capability inside the boundary already set.

  6. Score

    Reliability and usefulness are measured against the contract, not impressions.

  7. Log

    Each run appends to a quality ledger with owner, source and timestamp.

  8. Hand over

    Verified state, decisions and next actions pass on, so work resumes without rework.

  9. Promote

    Trust level moves up, or back down, on the record the ledger holds.

ENGRAM,
in five parts.

ENGRAM is the operating model. It holds five parts that work together.

Conductor
Routes work to the capability that holds the mandate for it, and refuses work that has none.
Skill Registry
One record per model, agent and skill: owner, mandate, risk boundary, source and timestamp.
Trust Pyramid L1 to L5
Every capability starts at L1, sandbox only with synthetic non-sensitive data, and is promoted on evidence.
Quality Ledger
Reliability multiplied by usefulness must reach 0.75 or above before a promotion is considered.
Logos audit pattern
Each decision keeps the reasoning trail that produced it, so a review can read the argument, not just the output.

In daily
internal use.

Internal operation

ENGRAM and AI Guardian are in daily internal use, which is why the AI Governance line is marked Internal operation rather than promised.

AI Guardian reviews Fidevo's own AI-assisted work, including this website.

AI Governance
Internal operation
How to start
Start with one governed capability.
What we can tell you today

What is evidenced
today.

We will reply with what is evidenced today, and what is not.

What does Fidevo AI Labs do?

Two lines, in order: AI Governance sets the rules for what AI may do, through the ENGRAM operating model and the AI Guardian control plane. AI Delivery is the engine that ships inside those rules, through the Metaskill factory and the AI Handover continuity ledger. Authority before autonomy, evidence before trust.

Is any of it in use today?

ENGRAM and AI Guardian are in daily internal use, which is why the AI Governance line is marked Internal operation rather than promised.

How does a capability earn more autonomy?

Every capability starts at L1, sandbox only with synthetic non-sensitive data, and is promoted on evidence. Reliability multiplied by usefulness must reach 0.75 or above before a promotion is considered. Trust level moves up, or back down, on the record the ledger holds.

Does ENGRAM replace compliance advice?

No. This site does not constitute legal or regulatory advice. ENGRAM governance does not replace professional compliance counsel.

Talk to Fidevo AI Labs

Start with one
governed capability.