Solutions | AI Roadmap
Where to invest in AI — and what to ignore
A scored, prioritised AI roadmap built around your actual constraints — budget, team, and regulatory context — with AWS-funded discovery for qualifying customers.
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AWS Advanced Tier
AI Competency
AWS-funded discoveryWhy most AI initiatives stall before they ever ship
Most AI programmes don’t fail because the technology is impossible. They fail because no one scores use cases against value, complexity, data readiness, risk, and production reality before the build starts.
Too many ideas, no scoring model
Every team has AI ideas. Few have a way to rank them against ROI, complexity, data readiness and risk.
FIX
A clear scoring framework that kills weak ideas early.
Pilots that never reach production
The demo works. Then it stalls because ownership, data access, security and production cost were never planned.
FIX
A roadmap that defines the production path before the pilot starts.
Board pressure without a defensible plan
Leadership wants an AI strategy. The team has scattered initiatives, competing priorities and no investment logic.
FIX
One board-ready roadmap with clear priorities and trade-offs.
A 5-week sprint from AI chaos to a board-ready strategy
5 weeks3 phasesscored roadmapfirst build recommendation
Discovery & use case mapping
Structured workshop series to map your AI landscape, surface every candidate use case, and understand the constraints any prioritisation has to respect.
- Stakeholder interviews across tech, ops, growth and exec
- Existing AI initiative audit — what's running, stalled, or quietly abandoned
- Use case longlist — typically 20-40 candidates across business functions
Output
Use case longlist + scoring criteria.
Scoring & prioritisation
Weighted scoring model applied to every use case. Value, complexity, ROI timeline, regulatory exposure, team readiness, and AWS service fit — each scored and weighted to your context.
- Value + complexity matrix for every candidate use case
- ROI modelling for the top ten use cases
- AWS funding eligibility assessed per use case
Output
Prioritised shortlist.
Roadmap build & handover
The prioritised list becomes a living roadmap — sequenced, costed, and mapped to AWS services, with funding eligibility and the first build recommendation already scoped.
- One-page executive summary for the board conversation
- Detailed roadmap with sequencing, dependencies, and funding options
- First build recommendation scoped and ready to move into discovery
Output
Board-ready roadmap + first build recommendation.
Discovery & use case mapping
Structured workshop series to map your AI landscape, surface every candidate use case, and understand the constraints any prioritisation has to respect.
- Stakeholder interviews across tech, ops, growth and exec
- Existing AI initiative audit — what's running, stalled, or quietly abandoned
- Use case longlist — typically 20-40 candidates across business functions
Output
Use case longlist + scoring criteria.
Scoring & prioritisation
Weighted scoring model applied to every use case. Value, complexity, ROI timeline, regulatory exposure, team readiness, and AWS service fit — each scored and weighted to your context.
- Value + complexity matrix for every candidate use case
- ROI modelling for the top ten use cases
- AWS funding eligibility assessed per use case
Output
Prioritised shortlist.
Roadmap build & handover
The prioritised list becomes a living roadmap — sequenced, costed, and mapped to AWS services, with funding eligibility and the first build recommendation already scoped.
- One-page executive summary for the board conversation
- Detailed roadmap with sequencing, dependencies, and funding options
- First build recommendation scoped and ready to move into discovery
Output
Board-ready roadmap + first build recommendation.
What you get after 5 weeks
Defensible AI Strategy: A board-ready strategy scored against real business constraints.
A funded build plan: AWS-funded discovery and a clear first build recommendation.
Priority, not noise: A clear list of what to build now, later, and not at all.
One partner for build: Roadmap and delivery connected through the same team.
A scoring model built around your constraints
Every AI roadmap starts with the same question: which opportunities are worth building, which should wait, and which should be ignored.
One scoring model. Different constraints.
We score each opportunity against a consistent model, then adjust the weighting to your data, risk, team capacity and commercial context.
The result is a ranked, defensible roadmap that shows what to build first, what to delay, and what to ignore.
Core scoring model
Value · complexity · ROI · data readiness · risk · production fit
What changes by context
Regulation · procurement · team capability · data sensitivity · time-to-market
What this prevents
Expensive pilots with no path to production
What you leave with
Ranked roadmap + scoring logic + first build recommendation
One scoring model. Different constraints.
We score each opportunity against a consistent model, then adjust the weighting to your data, risk, team capacity and commercial context.
The result is a ranked, defensible roadmap that shows what to build first, what to delay, and what to ignore.
Core scoring model
Value · complexity · ROI · data readiness · risk · production fit
What changes by context
Regulation · procurement · team capability · data sensitivity · time-to-market
What this prevents
Expensive pilots with no path to production
What you leave with
Ranked roadmap + scoring logic + first build recommendation
Choose the right roadmap engagement
Funded Discovery
A two-week discovery sprint that surfaces your highest-value AI opportunities, scores them against real constraints, and confirms AWS funding eligibility — with a costed first-build proposal at the end.
- Use case longlist and scoring
- First build scoped and costed
- AWS funding eligibility confirmed
Cost
AWS-funded
Duration
2 weeks
Full Roadmap Programme
The complete five-week engagement. Stakeholder workshops, a weighted scoring model, a prioritised roadmap, and a board-ready executive summary your leadership can act on.
- Full stakeholder workshop series
- Weighted scoring across all candidates
- Board-ready executive summary
- First build scoped and AWS-funding assessed
Cost
Fixed fee
Duration
4–5 weeks
Multi-horizon roadmap
Three-horizon planning for organisations running multiple AI initiatives across business units — with sequencing, dependency mapping, and a governance model for keeping the roadmap current.
- Horizon 1/2/3 use case mapping
- Cross-BU dependency and sequencing
- Governance model for roadmap maintenance
Cost
Enterprise scope
Duration
6–8 weeks
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High-scale event delivery with production readiness planned before the Super Bowl traffic spike.
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Not sure where to invest in AI first?
Book a focused 20-minute conversation. We'll help you spot the highest-value opportunities and confirm whether AWS-funded discovery applies to your organisation.
Why talk to us:
Outcome-driven recommendations
AWS-recognised delivery expertise
Risk-aware AI adoption
Clear next step, not a sales pitch
Start with a focused 20-minute conversation about your goals — no pressure, no commitment.