About Experiatech

An architecture practice for consequential AI decisions.

Experiatech is a Montreal-based enterprise architecture and AI practice. We connect strategy, organisational capability and deployable products so that AI remains explainable after it reaches operations.

From intent to operating capabilitySYSTEM VIEW
  1. 01
    Decide

    Business outcomes, use-case portfolio, value and risk appetite

  2. 02
    Architect

    Capabilities, information, platforms and boundaries

  3. 03
    Enable

    Roles, knowledge, governance and delivery practices

  4. 04
    Operate

    Agents, controls, telemetry and evidence

How we work

The company is the method—not a personality brand.

Evidence before assertion

Architecture decisions cite constraints, sources, trade-offs and measures.

Boundaries before autonomy

Permissions, data movement and human authority are designed explicitly.

Artifacts before theatre

Every intervention leaves decision tools that teams can continue to operate.

Technology in context

Azure and Snowflake prove execution depth without replacing strategic judgment.

Franck Nganiet Sandreau, founder of Experiatech

Founder

Franck Nganiet Sandreau

Experiatech was founded by Franck Nganiet Sandreau, an enterprise architect with more than 22 years of architecture and transformation experience in regulated financial environments across Canada and France.

Before founding Experiatech, Franck held senior architecture and transformation roles at National Bank of Canada, Desjardins, Crédit Agricole and Caisse d’Épargne.

Organisations are listed as part of Franck Nganiet Sandreau’s professional experience. No client relationship with or endorsement of Experiatech is implied.

Start with the decision—not the model.

Describe the decision, platform or operating risk that is slowing you down. We will identify the evidence required and whether consulting, training or a scoped agent is the right response.

Discuss the context