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AI ConsultingKnow where AI will pay back before you spend.
We help you pick the right AI use cases, check your data, choose the tools and prove value with a working proof of concept, so you invest with confidence.
What we build
What we deliver Practical AI Consulting that fits the way your business already works.
AI opportunity workshop
Find and rank AI use cases by return and effort.
Data readiness review
Check what data you have and what is missing.
AI roadmap
A clear, phased plan with costs and expected returns.
Proof of concept
Test the best idea on real data in weeks.
Tool & vendor selection
Choose models and platforms that fit your budget.
AI policy & governance
Rules for safe, legal and responsible AI use.
Real problems we solved
How we helped clients with AI Consulting
Real situations, what we did, and what changed for the business.
Insurance broker
Twenty AI ideas, no clear starting point
The problem
Every team wanted AI, but nobody knew which idea mattered most.
How we helped
We ran a workshop, scored each use case on return and effort, and built a proof of concept for the top one.
The result
A funded first project with a clear business case.
Manufacturer
An AI pilot that never went live
The problem
A previous vendor built a demo that could not connect to real systems.
How we helped
We reviewed the data and architecture, fixed the gaps and planned a production rollout.
The result
The project moved from demo to live use.
Law firm
Partners worried about AI risk
The problem
Staff were using public AI tools with client data.
How we helped
We wrote an AI policy, picked a private, secure tool and trained the team.
The result
Safe, approved AI use across the firm.
Tools and technology
Models
OpenAI Claude Gemini Llama
Platforms
Azure AI AWS Bedrock Google Vertex AI
Data
Snowflake BigQuery Databricks
Governance
Access controls Audit logs Prompt evaluation
Your return, in your numbers
See the time, cost and capacity you get back
Move the sliders to match your team. Everything updates live, based on the time your people spend on manual work AI could take on today.
0% of the work
Time back
0 hours a month
That is about 0 full-time people freed for higher-value work.
The return
Measured in business value, not model scores
Faster delivery
Timelines cut by automating the slow, manual steps.
Better decisions
Forecasts and alerts based on live data.
Lower cost to serve
Agents handle routine work around the clock.
New revenue
AI features your customers will pay for.
How we work
Four clear steps, no surprises
Step 1
Discover
We map your data and rank AI use cases by return.
Step 2
Prove it
A proof of concept on your real data in weeks.
Step 3
Build into your systems
Secure, integrated and approved by your team.
Step 4
Scale & govern
Monitor accuracy, cost and risk, then expand.
Questions
Top questions about AI Consulting
What does an AI consultant actually do? Helps you decide where AI fits, what it will cost and how to prove it works.
How long is a typical engagement? A focused assessment takes 2–4 weeks; a proof of concept 3–6 weeks.
Do you only advise, or also build? Both. We can build what we recommend, or hand over a clear plan.
Is our data ready for AI? We check it first and tell you honestly what needs fixing.
Can you help with AI risk and policy? Yes. We set up rules for safe, compliant use of AI.
How do you price consulting? A fixed price for each phase, agreed in writing before we start.
Tell us the problem. We will tell you honestly what it would take and what it would return.
Start the conversation