AI architecture and governance

Set the rules for AI agents once and roll out the next ones faster

We set the policy, architecture and accountability for your AI before it scales, so every agent has an owner and works inside rules you chose.

Plan a first call

Your situation

Where most teams start from

AI initiatives start in departments, often faster than the security review. Each one adds access, data flows and decisions that somebody has to answer for.

Do you know what your agent is doing at 2 o’clock at night? An architecture and a named owner turn that into a question you can answer.

Deliverables

What you get

  • AI policy

    Rules for where AI may be used, with which data, and under whose approval.

  • Reference architecture

    An architecture for agents and the platform they run on, covering data, identity, tools and control.

  • Accountability

    A named owner for each AI system and a route for decisions that fall outside what the agent may do.

How we work

Who does what, step by step

A Secamo advisor leads the work with your CIO or CISO and the business owners of each AI use.

  1. Step 1, Together

    Inventory

    We list the AI uses in your organisation, planned and running, and who is behind each.

  2. Step 2, Secamo

    Set policy

    We draft the rules on where AI may be used, with which data and under whose approval.

  3. Step 3, Secamo

    Design

    We describe the platform agents run on: data, identity, tools and control.

  4. Step 4, You

    Name owners

    You assign an owner to each AI system and agree the route for exceptions.

Questions

Common questions

What is AI governance?

AI governance is the set of policies, roles and checks that decide where AI may be used, with which data, and who answers for the result.

What is an agentic AI system?

An agentic AI system acts on its own toward a goal: it calls tools, changes records and starts workflows.

When should we start?

Before the first agent reaches production data. Rules and an owner are easier to set up first than to add afterwards.

Related

Services that work well with this one

Next step

Tell us where you stand.

A first conversation shows what a step in AI architecture and governance would look like for your team.

  1. 01Tell us what you are planning. A few lines are enough.
  2. 02We call you back to talk it through.
  3. 03You get a first view of where to start and what it takes.
Plan a first call

No preparation needed. Bring what you have.