Deep diagnostic
Establish the maturity baseline, opportunity radar, and gaps across data, people, technology, risk, and adoption.
AI Advantage Professional
For organisations with 100-1,000 employees
Turn scattered AI experiments into a clear competitive advantage.
A practical operating system that prioritises the right use cases, strengthens the foundations, and delivers measurable ROI without full enterprise overhead.
The challenge
You are past experimentation. Now you need focus and results.
- Pilots exist, but nobody can clearly explain which one should scale or why.
- Data, skills, ownership, and risk questions delay good ideas or let weak ones drift.
- Leadership needs a credible view of ROI before committing more budget.
Build a prioritised portfolio, move the right use cases into production, and establish governance that enables progress rather than slowing it down.
A clear way forward
Structured enough to create confidence. Practical enough to start now.
Strategy sprint
Create a prioritised portfolio, business cases, operating principles, and a sequenced roadmap.
Architecture and enablement
Set the essential data, operating-model, governance, and change foundations.
Execution support
Move selected use cases through defined gates into measured production value.
Optimise
Review the portfolio, adopt what works, and strengthen capability over time.
Engagement options
Start with the smallest step that can create a useful decision.
Investment depends on scope, existing capability, and the decisions you need to make. These ranges give a transparent starting point for a practical conversation.
Diagnostic and Strategy
$25k-$80k
6-12 weeks
Baseline, prioritised roadmap, and investment case
Full Program
$80k-$300k
6-12 months
Strategy through execution support and enablement
Ongoing Optimisation
Tailored retainer
Ongoing
Portfolio reviews, value tracking, and capability uplift
Outcome discipline
Progress is visible when you agree what success should look like before the work begins.
Set an expected outcome range, the baseline, and the person accountable for measurement.
Track whether the intended people are using the new workflow and whether it genuinely helps.
Apply proportionate guardrails so the speed of delivery does not create a bigger problem later.
Questions before you start
Good questions. Clear answers.
How is this different from hiring an AI consultant or agency?
It combines strategy, delivery discipline, governance, and ongoing optimisation. The work produces reusable assets and clear ownership, not only recommendations.
Do we need a full data science team?
Not at the start. We clarify which roles to develop internally, where specialist partners help, and what should be standardised.
Which tools and platforms do you recommend?
The approach is vendor-agnostic. Recommendations follow the business case, existing estate, risk requirements, and team capability.
How do you handle change management?
Adoption is planned from the beginning: owners, communication, training, incentives, and real workflow measures.
Make the next move useful
Schedule a strategy conversation.
Share your context and we will come back with a right-sized next step.
- Senior, practical conversation
- Right-sized next step
- No obligation or generic proposal