One delivery philosophy. Four ways to create value.

Four ways to work with us. Where you start depends on where you are today.

Where are you now?

You have AI activity, but nothing meaningful is in production.

6-Week Sprint

Get your first AI system into production.

One prioritised use case taken from assessment to a working, measured system, built for a clean handover and shipped within six weeks.

Included
Opportunity assessment & prioritisation Architecture, build & integration Evaluation Results, handover & next-sprint decision
You have proven one use case and need to run more.

Scale AI Delivery

Turn early wins into a repeatable operating model.

Run sprints back to back, turning one proven use case into a repeatable operating model that delivers across a portfolio.

Included
Use case prioritisation Architecture AI operating model AI governance Capability development
You need AI capability inside your own stack and teams.

Embed AI Expertise

Install AI capability in your stack and your teams.

We install AI tooling into your stack and build your team's capability to run it, backed by fractional CAIO capability, senior architecture, and implementation leadership.

Included
Tooling in your stack Capability & change enablement Fractional CAIO Senior AI architecture Implementation leadership Delivery-team access
You have a working AI process your suppliers, partners, or customers could use too.

Productise

Turn an internal process into a sellable product.

We turn a working internal AI system into a product you can sell to suppliers, partners, or customers, built and evaluated to prove it's worth buying.

Included
Commercial viability assessment Product architecture Build & packaging Evidence & go-to-market readiness

Opportunity assessment, in practice.

We work with your teams to break a business goal down into the outcomes and workflows it depends on, then score each use case candidate for value and readiness before deciding what to implement first.

opportunity-assessment
Impact map: illustrative (retail workforce scheduling)
Reduce retail scheduling cost Fewer manual hours Lower overtime spend Better demand matching Roster generation Demand forecasting Availability sync
Prioritisation quadrant: value vs. feasibility
Value Feasibility high value, high feasibility Prioritised Backlog
Approved use cases, ranked
RankUse caseStatus
01Reduce manual roster hoursApproved
02Forecast peak-period demandApproved
03Automate shift-swap approvalsBacklog
04Predict overtime riskBacklog

Not ready to commit to a cycle?

Start with an executive briefing or opportunity workshop designed to produce a clear implementation decision. It's a way in, not a service on its own.

How engagements grow.

6-Week SprintRepeat sprintsScale AI Delivery & broader transformationProductise beyond your business

Not sure which fits?

Tell us your situation. We'll tell you honestly where to start.