From GenAI experiments to a fundable plan
Generative AI consulting services — use case discovery and scoring, feasibility and ROI, foundation model selection, and a Responsible AI operating model, delivered in 3–6 weeks.
Quick answerGenerative AI consulting is advisory work that turns GenAI interest into a prioritised, feasible plan — discovering and scoring use cases, assessing data and platform readiness, sizing ROI and risk, selecting foundation models, and designing the Responsible AI operating model and roadmap. It is the single home for this work, kept distinct from our broader AI Consulting service so nothing is duplicated.
What comes out of the engagement
Ranked use case portfolio
Every candidate scored on value, effort, feasibility and confidence, with quick wins called out.
Data & platform readiness
An honest assessment of what has to be true for the top use cases to succeed.
Reference architecture
A model-selection recommendation and a target architecture you can build against.
Responsible AI design
Acceptable-use policy, human-oversight rules, evaluation standards and model risk management.
Business case
Value and cost per use case, so investment goes to the highest-return work first.
30-60-90 day roadmap
A sequenced plan that hands off cleanly into a proof of concept.
Where consulting stops and building starts
| Question | Consulting (this page) | Development |
|---|---|---|
| Which use cases, in what order? | Decided here | — |
| Is our data ready? | Assessed here | — |
| Which model and architecture? | Recommended here | Implemented |
| Build the solution | — | Yes |
| Governance operating model | Designed here | Operated |
A tight, workshop-driven engagement
Align
Confirm objectives, scope and the business units in play.
Discover
Workshops and interviews to surface and describe candidate use cases.
Assess
Data, platform and skills readiness against the top candidates.
Design
Architecture, model choice and the Responsible AI operating model.
Roadmap
Prioritised, costed, sequenced — decision-ready for your stakeholders.
Consulting that leads somewhere
Practitioners, not slideware
Advice from teams that also build and run GenAI in production.
Governance depth
Responsible AI design fit to your industry and regulatory context.
Platform view
RLCatalyst and Spectra inform what a realistic target architecture looks like.
Honest ROI
Value and cost estimated per use case, weighted by confidence.
Delivery-ready output
The roadmap is executable by your team, us, or a mix.
Fast
3–6 weeks to a decision-ready plan.
- AWS
- DataStax
- Salesforce
- Snowflake
Ready to build once the plan is set?
Our Generative AI Development Services take the top use case from proof of concept to production, model-agnostic.
Generative AI strategy insights
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Content last reviewed: September 2026
Scaling this across the enterprise?
Our Enterprise AI Services practice brings generative AI, agents and LLMs to production at scale — with the governance, platform and operating model to keep them reliable, compliant and cost-controlled.
Stuck between GenAI pilots and production?
Book a working session and leave with a shortlist of use cases and a view of what it takes to deliver them.
Talk to an AI specialist
Tell us where you are on your AI journey — a use case, a proof of concept, or a platform decision — and an AI consultant will come back with next steps and a rough shape for the engagement.