C-Level Support
MSP
Cloud
Workforce Optimisation
Cyber Security
Artificial Intelligence
AI Roadmap + Strategy.
A business-analyst-led Discovery that finds where the value genuinely is, grades it, and turns it into a prioritised, costed, ROI-validated roadmap your stakeholders can fund. The strategy that everything else builds on.
~6-week Discovery4-phase deliveryPrioritised "Top 6"Often vendor-funded
The delivery model
A four-phase delivery model.
We always recommend delivering Discovery on its own first — it validates the ROI of going deeper before any larger commitment.
Phase 1
Discover
- Vision-Canvas workshop
- Time-in-motion baseline
- Stakeholder interviews
- Process mapping
- Data-blocker inventory
Phase 2
Design
- Data Foundation Sprint
- AI policy gap-analysis
- Use-case heat-map
- Sequenced 12-month roadmap
Phase 3
Pilot
- Rapid build of priorities
- ROI tracking vs criteria
- User feedback & iteration
- Baseline-vs-pilot dashboard
Phase 4
Scale
- Roll-out playbook
- Three-tier training
- Monthly innovation sessions
- AI-Ops, SLAs & drift monitoring
Inside Discovery
Low-cost, fast, and it produces artefacts you can act on.
Discovery is built on three exercises, deliberately structured to be low-cost and fast while producing things a leadership team can use immediately.
01
Business process mapping
We map key processes with each function and pinpoint where AI adds value. Outcome: a visual current-state map with AI intervention points highlighted.
02
Data review
We evaluate the data behind those processes for quality, completeness and accessibility. Outcome: prioritised recommendations to make it AI-ready.
03
Use-case portfolio
We prioritise candidates by value, complexity and feasibility. Outcome: a ranked list aligned to your goals, ready to build.
The use-case matrix
Each mapped process feeds a matrix capturing the objective, how ROI is measured, the data source, and scores for complexity and impact — a defensible basis for prioritisation. Rows illustrate the structure, not a specific recommendation.
| Use case | Objective | ROI measurement | Complexity | Impact |
|---|---|---|---|---|
| CRM data hygiene | Surface and fill stale records via AI-assisted enrichment. | Hygiene score; downstream conversion. | Low | High |
| Document extraction | Auto-extract key fields from inbound documents. | % automated; turnaround time. | Medium | Medium |
| Proposal drafting | Generate first-draft documents from curated sources. | Draft time; volume per week. | Low | High |
| Knowledge assistant | Natural-language search across approved content. | Time-to-answer; repeat queries. | Medium | Medium |
Session overview
A tight sequence of focused, mostly remote sessions — typically 4–6 hours of each committee member across a five-week window.
- Identify high-value processes · 1 hr
- Tailor the process map · 1 hr
- Data-set identification · 1 hr
- AI ideation session · 1 hr
- Process feedback · 30–60 min
- Artefact presentation · 1 hr
What you receive
Discovery deliverables
One-page AI Vision & Objectives · 12-month roadmap Gantt · "policy-in-a-box" guardrails · AI Steering Committee with named leads · full process mapping & use-case heat-map · prioritised "Top 6" · ROI & adoption tracking · target data/infra blueprint · role-based skills-gap mapping.
How an engagement de-risks
From idea to production, on investment gates.
You commit in steps, not all at once — and early stages are frequently cloud-vendor funded, lowering the cost of getting started.
1
Often vendor-funded
Assessment
Consultant-led discovery to shortlist high-value use cases with ROI measures defined.
2
POC funding available
Proof of Concept
Prove the concept against the business problem before committing further.
3
Low fixed fee
MVP / Prototype
Deploy the POC into a real, usable prototype the team can put their hands on.
4
Scoped per use case
Production
A governed, secured, integrated production system with a measurable return.
What sets us apart
Five principles that shape every roadmap.
1
Business-first
Judged on one question: does it create tangible value? We prioritise pilots that repay in under six months.
2
Data as an asset
AI only performs as well as the data it can reach. Where architecture constrains it, we run a Data Enablement Sprint.
3
Secure by design
Security and model-risk checkpoints built into every sprint, not bolted on at the end.
4
People-centred
A three-tier path — Awareness, Power-User, Champion — with each function nominating a Champion.
5
Iterate & measure
Short, outcome-focused sprints, working prototypes early, everything instrumented with metrics.
Go deeper
Related services.
Service
Product Management Services
The judgement layer: what to build, for whom, in what order.
Explore →Service
AI Development / AI Dev Team
Your embedded build capability, from prototype to production.
Explore →Service
AI Governance
Security and compliance reviews that approve AI rather than block it.
Explore →Start with a roadmap.
A short Discovery validates the ROI of everything that follows — much of it cloud-vendor supported. The fastest, lowest-risk way to move from talking about AI to a fundable plan.
A Digital Transformation Company.