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AI IMPLEMENTATION AND STRATEGY

Turn AI ambition into systems people can actually use.

A subscription that combines strategic judgement with senior engineering delivery. We identify worthwhile opportunities, build and evaluate the right solutions, and establish the governance needed to operate them safely.

Ongoing subscriptionSmall · Medium · Custom

01 / Outcomes

What changes while we are embedded.

A defensible roadmap

AI opportunities are ranked by value, feasibility, data readiness, risk, and total operating cost — not novelty.

Working capability

Priority use cases move through prototype, evaluation, integration, and production with senior engineers accountable for the result.

Controlled adoption

Guardrails, ownership, measurement, and team enablement grow alongside the technology rather than arriving after it.

02 / Operating scope

Practical work,
delivered continuously.

We agree the priorities with your leadership team, work alongside the people who own the systems, and leave decisions and progress visible.

Opportunity portfolio

Find and prioritise use cases against business outcomes, constraints, dependencies, and credible measures of value.

Architecture and selection

Choose models, platforms, build-versus-buy paths, data patterns, and integration boundaries with explicit trade-offs.

Data readiness

Assess quality, access, provenance, privacy, and retrieval needs so delivery starts from operational reality.

Implementation

Build agents, assistants, retrieval systems, automations, and model-enabled product capabilities around agreed priorities.

Evaluation and governance

Define test sets, quality thresholds, human oversight, audit trails, safety controls, and release decisions.

Adoption and operations

Integrate workflows, prepare teams, monitor quality and cost, and improve the system from real usage evidence.

03 / Cadence

A subscription with
an operating rhythm.

  1. Align on value

    We clarify outcomes, select the next priority, expose assumptions, and agree how the work will be evaluated.

  2. Build and measure

    We deliver working increments, test them against representative data, and keep cost, risk, and decisions visible.

  3. Operationalise and learn

    We integrate successful work, support adoption, monitor results, and feed evidence into the next roadmap decision.

04 / Plan sizes

Right-sized for
your organisation.

Employee count is a useful starting point. We confirm the plan from your number of systems and teams, regulatory exposure, data sensitivity, delivery goals, and required response coverage.

Small

Up to 100 people

For a focused team that needs a credible AI roadmap and hands-on progress on its highest-value implementation.

  • Prioritised opportunity backlog and decision record
  • One focused implementation stream at a time
  • Architecture, evaluation, and governance foundations
  • Monthly value, risk, and next-step review
Medium

101–500 people

For several teams or platforms that need a coordinated roadmap, shared guardrails, and reliable delivery capacity.

  • Cross-team AI portfolio and delivery cadence
  • Production engineering across agreed priority workstreams
  • Shared evaluation, security, data, and cost controls
  • Stakeholder enablement and regular steering reviews
Custom

500+ people or regulated

For enterprise portfolios with complex data, governance, integration, procurement, or regulatory constraints.

  • Tailored portfolio governance and reference architecture
  • Integration with enterprise data, security, legal, and platform teams
  • Custom delivery capacity, reporting, and assurance
  • Adoption plan across business units, entities, or regions

Start with scope

Choose the next AI investment with evidence, then deliver it.

Bring us the opportunity, the pilot that has stalled, or the portfolio that needs order. We will shape a subscription around the smallest useful scope and a measurable operating cadence.

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