Consulting

AI-ready operating models that deliver outcomes

We design the governance, teams and delivery rhythms that make AI safe, useful and owned by the business. Then we help you prove value fast — and scale with confidence.

Overview

What makes our consulting different

1Outcome-first

Value cases and adoption metrics shape the programme, not the other way around.

2Small, senior teams

Delivery-minded consultants with deep subject expertise, amplified by AI workflows.

3Human-centred

We design around people — roles, skills and responsibilities — to drive real usage.

Operating model

Governance and guardrails that scale

Design & ownership

RACI across product, platform, risk and business teams.

  • AI policy & usage guidelines
  • Risk controls & approvals
  • Funding & accountability model
Operating model roles and responsibilities

Change & skills

Pathways and enablement to turn policy into practice.

  • Role-based AI literacy
  • Playbooks, prompts & patterns
  • Communities of practice
Team training for AI skills
Programme & roadmap

Prioritise by value — then ship

Portfolio shaping

Opportunity backlog sized by impact, risk and feasibility.

  • Value cases & KPIs
  • Risk & readiness scoring
  • Funding alignment

Pilot factory

Production-grade pilots in weeks, not months.

  • Blueprints & guardrails
  • Secure data patterns
  • Evals & observability

Scale plan

From one team to enterprise: adoption, support and continuous improvement.

  • Rollout playbook
  • Change & comms
  • Benefit tracking
Enterprise architecture

Patterns that make AI safe, fast and sane

Reference architecture

Security, integration and model usage built for your estate.

  • Data pipelines & vector search
  • Guardrails & policy enforcement
  • Cost control & observability
AI Safety with magnifying glass

Platform hand-off

Operate confidently with SLAs, dashboards and runbooks.

  • Production readiness
  • Runbooks & SLOs
  • Knowledge transfer
Operations and reliability dashboard
Approach

Discover → Pilot → Scale

1Discover

Rapid AI readiness review across people, process, data and platforms.

2Pilot

Design and ship a production-grade pilot with measurable outcomes.

3Scale

Roll out with controls, training and managed support as needed.

FAQs

Common questions

How fast can we get to a pilot?

Typical timelines are 4–8 weeks depending on data access, risk posture and scope. We optimise for early, production-grade value.

Do you replace our teams?

No — we augment your people and design for capability transfer. Our goal is AI-powered teams, not dependency.

Can you work within our risk controls?

Yes. We design with governance first: data segregation, auditability, content filters, evals and observability.