AI Consulting & Strategy
Independent assessment of where AI will genuinely pay in your business, with a prioritised roadmap and honest feasibility findings.
- Use cases prioritised by value, not novelty
- Honest data readiness assessment
- Running cost modelled before commitment
- Clear recommendations against low-value ideas
- OpenAI
- Claude
- Google Gemini
- Python
- 2-4 wk
- Typical engagement
- Independent
- No build obligation
- Costed
- Roadmap with running costs
What AI consulting & strategy covers
Most organisations do not have an AI problem — they have a prioritisation problem. There are more plausible use cases than budget, and the ones that sound most impressive are frequently not the ones that pay.
Finding where value actually sits
We look for repeated, high-volume tasks involving unstructured text or images, where a moderate accuracy improvement produces a real cost or revenue effect. Those are usually unglamorous — support triage, document processing, internal search — and they are usually where the returns are.
Data readiness determines what is possible
Ambition is constrained by data. We assess what you actually hold, its quality, how it is governed, and what would need to change. Frequently the first recommendation is a data project rather than an AI project.
An honest roadmap
You get a prioritised roadmap with effort, expected value, running cost, and risk for each item — including the ones we recommend not doing, and why.
What we deliver
Key features and capabilities of our AI consulting & strategy work.
Use case discovery workshops
Structured sessions with the teams closest to the work.
Data readiness assessment
What you hold, its quality, and what would need to change.
Feasibility & cost modelling
Expected accuracy and running cost at your volumes.
Prioritised roadmap
Sequenced initiatives with effort, value, and risk stated.
How the engagement runs
A clear sequence with a visible output at every step — so you always know where the project stands.
- 01
Discovery & feasibility
We assess the use case, data readiness, and whether AI is genuinely the right tool before proposing a build.
- 02
Prototype & evaluation
A working prototype measured against defined accuracy and cost criteria, so the decision to proceed is evidence-based.
- 03
Production build
Hardening, guardrails, monitoring, evaluation harness, and integration with your systems.
- 04
Monitor & improve
Ongoing quality monitoring, prompt and retrieval tuning, and model updates as the landscape changes.
Technologies & tools
Chosen per project for fit, maintainability, and your existing stack.
- OpenAI
- Claude
- Google Gemini
- Python
Industry applications
Sectors where we most often apply this service.
- E-Commerce & Retail
- SaaS & Technology
- Healthcare
- Real Estate
- Finance & FinTech
- Education
- Travel & Hospitality
- Professional Services
What's included at each level
Every engagement is scoped to your needs; these tiers show how scope typically grows.
| What's included | Starter | Growth | Enterprise |
|---|---|---|---|
| Discovery workshops | Included | Included | Included |
| Data readiness report | Included | Included | Included |
| Feasibility & cost model | Not included | Included | Included |
| Prioritised roadmap | Not included | Included | Included |
| Executive briefing & training | Not included | Not included | Included |
AI Consulting & Strategy: common questions
Do we have to build with you afterwards?
No. The roadmap is yours to execute internally, tender competitively, or shelve. Tying advice to implementation work compromises the advice.
What if the answer is that AI will not help?
Then we say so and explain why. That is a legitimate and valuable outcome — it is considerably cheaper than discovering it eighteen months into a build.
More from AI Development & Consulting
Ready to talk about AI consulting & strategy?
Tell us what you need. We reply within one business day with questions or a call slot — and a fixed, written proposal after.