DIGI

AI implementation

You run it. We make you able to.

Find where AI pays, build it, then hand over the capability so your own team carries it forward. Most organisations know AI is a priority and struggle with execution - and the gap is rarely technical.

Three stages. Take one, or all three.

01

Audit and assurance

This is for you if: You need to know where AI actually pays, or to prove the AI you already run is safe.

We audit before you build, and after you have built.

  • AI Opportunity Audit: we map your processes, score the opportunities on value and feasibility, and give you a costed roadmap. The deliverable is a decision, not a deck.
  • AI Assurance Audit: for AI already in production. Governance, risk, bias, data handling, transparency and human oversight, reviewed independently.
  • We only assure systems we did not build. Assurance is worthless if the people marking the work also did the work.

AI Opportunity Audit

For organisations deciding where to start.

We map your processes, score the opportunities on value and feasibility, and hand back a costed roadmap with the risk and governance view attached. The deliverable is a decision about where to invest, not a strategy document that sits in a drawer.

AI Assurance Audit

For organisations with AI already in production.

An independent review of AI you are already running: governance, risk, bias, data handling, transparency and human oversight. Intended for organisations that need to demonstrate to a board, a regulator or a procurement panel that their AI is safe and properly controlled.

We only assure systems we did not build. Assurance depends on independence, and an organisation that marks its own homework is not providing any.

02

Automation and agents

This is for you if: You have processes that consume people and want them to run themselves.

Workflow and process automation, in partnership with Obelisk AI, and custom agents built by DIGI.

  • Workflow and process automation is delivered in partnership with Obelisk AI, our external automation partner.
  • Agents are built by DIGI: systems with memory, context and initiative that carry out real work, rather than chatbots that answer questions about it.
  • An agent that runs your operations is AI implementation. An agent that is the product you sell is software development.

03

Enablement and training

This is for you if: You want the capability inside your own team, not permanently rented from us.

Capability transfer. We train your team, document the operating model, and reduce your dependency on us by design.

  • Hands-on training for the people who will run these systems day to day, using your own workflows rather than generic examples.
  • A documented internal AI operating model: how work gets proposed, reviewed, deployed and monitored.
  • The measure of success is that you need us less at the end than at the beginning.

Where this leads

An audit is a low-risk front door.

Most engagements start small and fixed-scope. The best of them graduate into a longer arrangement, if that is what both sides want.

The partnership model

FAQ

Common questions

What is an AI Opportunity Audit?

An AI Opportunity Audit maps an organisation’s processes, scores potential AI applications on value and feasibility, and produces a costed roadmap. The deliverable is a decision about where to invest, not a strategy document.

What is an AI Assurance Audit?

An AI Assurance Audit independently reviews AI that is already running in production, covering governance, risk, bias, data handling, transparency and human oversight. It is intended for organisations that need to demonstrate their AI is safe and properly controlled.

Do you audit AI systems that you built yourselves?

No. DIGI only assures systems it did not build. Assurance depends on independence, and an organisation that marks its own homework is not providing assurance.

What is the difference between automation and agents?

Automation executes a defined process reliably and is delivered in partnership with Obelisk AI. Agents are systems with memory, context and initiative that carry out work rather than following a fixed script, and are built by DIGI.

Will we depend on DIGI to run what you build?

No. Enablement and training exists specifically to transfer capability into the client’s own team, including hands-on training and a documented internal AI operating model. The measure of success is that the client needs DIGI less at the end of an engagement than at the beginning.

Start with an AI Opportunity Audit.

The fastest way to find out whether AI pays in your organisation is to have someone map it properly and tell you where - including the places it does not.

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