AI consulting and agent systems
From strategy to real impact in weeks.
We identify where AI creates value and turn it into working capability inside your business - built to stick, fast to deploy, designed to evolve.
Tailored AI acceleration programmes
A typical acceleration programme runs three to six months, but it doesn't behave like a six-month consulting engagement. Working AI is in production by the end of week two. The operating model starts shifting in month one. By the time the programme closes, an in-house team is running what we built.
Four things make that possible:
- Small forward deployed units embedded inside your business; ROI analysts, strategy consultants, and adoption craft in one team.
- Pre-built infrastructure so every engagement starts ahead, not from scratch.
- Evidence-led method; hypotheses before code, evaluations before claims, demos as the unit of progress.
- Governance designed as an accelerator; new capability reaches trial in days, not months in committee.
The result is weeks to working capability, and EBITDA moved while the opportunity is still on the table.
Three building blocks of delivery
01
Value discovery
A half-day workshop that maps where AI can move EBITDA, capacity, or value at exit. Leadership and domain experts work through seven value plays applied to the business's actual workflows.
Output: A prioritised opportunity roadmap within two weeks - AI report, agent roadmap, concept portfolio. Free of charge.
02
Build sprints
A two-week sprint that ships working capability - a new use case, or a platform layer that compounds across future builds. The team designs, builds, and evaluates inside a 10-day timebox.
Output: Working systems shipped to production, an evidence-backed business case, and a deployment plan.
03
Adoption sprints
A two-week sprint that makes sure what's built actually gets used. Strategy, governance, training, and the operating model are engineered alongside the build, not after it.
Output: A workforce that can use AI confidently, and a sustain cadence that keeps capability moving after we've left.
The new agentic stack
Every programme leaves the business with more than a use case. It leaves an operating stack underneath, three layers that make every subsequent build faster, safer, and more durable.
The agent operating system
A new operating system that wraps frontier AI models and multi-agent frameworks for knowledge work.
- Three main layers - apps, runtime, and state management.
- Harness, model, and infrastructure agnostic. Deploy to a multi-node mesh for a fully autonomous workforce.
- Same source deploys to pro coder IDE, intelligent workspace, Cowork, Copilot Studio, web, or static app.
The context layer
Where agents reason from contextualised views of the business, and act with safety, not via raw and unreliable point-to-point access. The data architecture sits beneath the runtime, with an agent gateway managing policy, identity, and audit.
- Pre-combined views, business objects, task graphs, customer 360, decision histories, provenance trails, semantic definitions, and working memory.
- A single security, management and observability perimeter. Agent identity is validated in the gateway and is not implicit.
- Exploits determinisitc input and output shaping to reduce token cost and agent failures across every use case.
Skill compounding loop
The skill compounding loop turns the firm's know-how into durable capability. Real work is captured, encoded, evaluated, guarded, and improved through use.
- A new five-step loop; capture, encode, build, evaluate, improve.
- Skills carry instructions, examples, tools, reference information, evaluation cases, and guardrails.
- The skill graph builds as the system-of-intelligence for the new digital workforce.
How we scale
Headcount doesn't accelerate us. Our Exo agents do.
Sustain your AI acceleration
What makes a programme last isn't the systems we ship. It's what's in place when we leave - the governance that lets capability evolve, the cohorts who run it, and the social fabric that keeps it growing.
Governance as enabler
AI governance designed to let useful things happen quickly. The zone framework - red, amber, green - turns informal risk debate into a repeatable path to production, with reusable controls, audit trails, and observability built in.
True agentic engineering
Capability transfer is the deliverable. Three cohorts - workforce, power builders, and engineering - are trained to operate their tier independently. We leave when each cohort can continue without us.
Widespread user fluidity
The social fabric that keeps your business learning. Champions networks, innovation challenges, workshops, content, and an internal AI hub keep capability spreading through use.
Start with a discovery call
A free, half-day session - you leave with a prioritised opportunity roadmap within two weeks, whether or not the engagement continues.