Capabilities

From Strategy to Shipped.
We Stay in the Room.

Every engagement is led by Steve Harris: 35 years of enterprise experience and hands-on GenAI work with more than 30 organisations. No junior staff, no off-the-shelf frameworks. Wherever you are, there is a clear next step.

Not sure where to start? Book a short call or contact Steve.

Choose where to start

Three stages. Pick the one you are in.

Think, Model and Act are the same three stages as the graphic on our homepage. Senior guidance and hands-on support, at whichever stage you are in.

ThinkStrategy & roadmapModelDesign the solutionActBuild, adopt & improve

Think · Strategy & roadmap

Best if: You need to know where you stand, what the risks are, and what to do first.

GenAI Strategy and Roadmap

Who it helps
Leadership teams deciding where to invest, and how fast.
What we do
Readiness assessment, use-case prioritisation, governance foundations and a practical roadmap.
You receive: A prioritised 12-month roadmap your leadership team can act on immediately.

GenAI Quick Start

Who it helps
Organisations that want to adopt GenAI responsibly, without a long run-up.
What we do
GenAI literacy, responsible-use policies and the internal communications to roll them out.
You receive: Policies, training and communications in place within weeks.

AI4 IT

Who it helps
IT departments leading AI adoption for the whole organisation.
What we do
Align the AI maturity journey with the ITIL 4 and COBIT 2019 frameworks your teams already use.
You receive: AI running as a governed enterprise capability, not a standalone project.

Model · Design the solution

Best if: You know the problem and need the workflow, architecture and controls designed properly.

Elevated

Agentic AI

Who it helps
Teams ready to go beyond the chatbot.
What we do
Understand, evaluate and design agents that automate workflows and connect systems, with human oversight at the right points.
You receive: Working agents designed against your real workflows, with clear boundaries.

What the Model stage covers

Workflow and solution design, architecture, evaluation and human-in-the-loop controls are part of every delivery engagement. The five-stage adoption framework below is the map we design against.

See the five-stage framework

Act · Build, adopt & improve

Best if: You have a plan and need it built, running and used.

New

Implementation and Delivery

Who it helps
Organisations whose strategy now needs to become production.
What we do
Development, data, infrastructure and change management, built with your teams and backed by our delivery ecosystem.
You receive: Production AI, handed over running rather than handed off as a slide deck.
Elevated

AI Training and Enablement

Who it helps
Teams whose AI curiosity needs to become real capability.
What we do
Hands-on training from prompt design to Microsoft Copilot to agentic AI, built around how your people actually work.
You receive: Internal teams that ship with AI, not a vendor dependency.

Across every stage

Ongoing leadership and enablement that sit alongside any of the three stages.

Fractional Chief AI Officer

Who it helps
Executives who need senior AI leadership without a full-time hire.
What we do
Retained strategy, governance and delivery leadership, month after month.
You receive: An accountable executive partner on your side of the table.

Speaking and Workshops

Who it helps
Boards, leadership teams and conference audiences.
What we do
Grounded sessions on GenAI for technical and non-technical audiences.
You receive: Shared understanding and momentum for what comes next.
Supporting framework

The five-stage AI adoption journey

From assistants to autonomous agents — with clear business outcomes at every stage.

This is the framework behind the Model stage. It maps where you are today to where you want to go, with the right services, outcomes and enablement at each step. Most organisations are still in the Assist stage; Canada's AI for All strategy targets 60% business adoption by 2034.

Phase 1: Quick Start
Phase 2: Focused Support
Assist Assistants
  • • Conversational
  • • General knowledge
  • • e.g. ChatGPT
  • • Task
Assist icon
Augment Copilots
  • • Organizational data
  • • Document editing
  • • Tool integration
  • • Task
Augment icon
Advise Coworkers
  • • Multi-step execution
  • • User-driven flow
  • • HITL
  • • Process
Advise icon
Act Agents
  • • Tool use
  • • Memory
  • • Multi-step reasoning
  • • Process / Role
Act icon
Automate Autonomous Agents
  • • Event / Trigger-driven
  • • Orchestration
  • • Role
Automate icon

Business Outcomes

  • Faster access to information
  • Reduced time spent searching and drafting
  • Improved individual productivity

Business Outcomes

  • Faster content creation and review
  • Improved quality and consistency
  • Reduced effort on repetitive work

Business Outcomes

  • Better informed decisions
  • Faster movement through multi-step work
  • Reduced friction in recurring processes

Business Outcomes

  • Faster execution across workflows
  • Shorter response and cycle times
  • More responsive operations at scale

Business Outcomes

  • End-to-end workflow automation of routine work
  • Lower operating effort and cost
  • Scalable 24/7 delivery

Enablement Foundation

Readiness Community of Practice Subject Matter Experts Road Map Data Access OCM Training Roll-out

Not Sure Which Service Fits?

That's a completely normal place to be. A short conversation is usually enough to find the right starting point. No pitch, no pressure.