01
Executive-level stakeholder engagement.
6–10 structured interviews, including senior decision-makers, with in-person sessions where they materially improve insight.
02
Specialist-built business models.
Custom models reflecting your actual demand, capacity, constraints and variability – built by ML, RL and optimisation practitioners, not generic spreadsheets.
03
Predictive and scenario analysis.
Clear, quantified answers to questions such as:
- What breaks first as demand changes?
- Where do bottlenecks migrate if automation is introduced?
- Which interventions compound value versus merely shifting cost?
04
Optimisation & operations research outputs.
Mathematical analysis to:
- Identify true leverage points
- Test sequencing of change
- Surface second-order effects and unintended consequences
05
Peer-anchored benchmarking.
Decision-grade comparison against relevant peer patterns to pressure-test ambition and avoid under- or over-investment.
06
Concrete transformation plan.
A prioritised, actionable roadmap covering:
- Quick wins (near-term, low-risk opportunities)
- Mid-term improvements (structural operational leverage)
- Long-term strategic moves (platform or operating-model shifts)
07
Concrete transformation plan.
Explicit articulation of:
- Delivery and execution risks
- Data, capability and architectural gaps
- Change and adoption constraints
- What not to do yet, and why
08
Board-ready decision pack.
Outputs suitable for ExCo or Board review, including quantified impact ranges, confidence levels and sequencing logic.
Risk reversal.
If we do not deliver a tangible, credible transformation plan with clear ROI potential, we do not expect to be paid.
At that point:
- Don’t like the outputs? - get your money back
- Walk away - sit on it/take it elsewhere - the outputs are yours
- Or proceed with us - and get the cost credited in full against future work
We care more about outcomes and reputation than forcing progression.
