Your AI roadmap, built on solid data
Workshops that find the AI use cases with the best return, and the data engineering that makes them work: from first idea to a clear, costed plan.
Overview
Start with the right problems and the right data.
- AI workshop in 2–4 weeks
- Use cases ranked by return
- Data platforms ready for AI
Many AI projects stall because the goal is vague or the data is not ready. In a short, fixed-price engagement we look at your processes, rank AI use cases by value and feasibility, and check whether your data can support them.
You get a practical roadmap with costs, timelines and quick wins. When you are ready, the same team builds the data pipelines and platforms that AI needs, and delivers the first project.
What we do
AI strategy and data services
01
AI readiness assessment
A clear view of your processes, data, systems and skills, and of what is needed to use AI safely.
02
Use case workshops
Guided sessions with your teams to collect ideas and turn them into concrete, measurable use cases.
03
Business case & roadmap
Each use case with expected value, cost, risk and timeline, ordered into a realistic plan.
04
Data audit & quality
Where your data lives, how reliable it is and what to fix first so AI gives trustworthy answers.
05
Data engineering
Pipelines that collect, clean and connect data from ERP, CRM, SAP, files and cloud services.
06
Data platforms
Modern warehouses and lakehouses on Azure, AWS or Google Cloud, designed for analytics and AI.
07
Analytics & dashboards
KPIs and reports your managers use every day, built on the same trusted data.
08
Proof of value
A first pilot that proves the return on a real process before larger investments.
Why SetExe
What a clear AI strategy brings you
Clear priorities
You invest first in the use cases with the best ratio between value and effort.
Budget under control
Fixed-price workshop and a costed roadmap, so there are no surprises.
Data you can trust
Clean, connected data that improves AI, reports and everyday decisions.
A quick first win
A pilot in weeks that shows results to management and users.
How we work
How we build your AI roadmap
Phase 01
Listen
Interviews with management and key users about goals, pain points and ideas.
Phase 02
Map
Review of processes, systems and data sources, with a readiness score.
Phase 03
Prioritise
Use cases ranked by value, feasibility and risk in a shared workshop.
Phase 04
Plan
Roadmap with costs, timelines, team and the data work required.
Phase 05
Prove
A first pilot on the top use case, measured against agreed goals.
Technologies
Data and AI platforms we use
The platforms, frameworks and standards we use most often for this service.
- Python
- SQL
- dbt
- Apache Spark
- Databricks
- Snowflake
- Microsoft Fabric
- Power BI
- Azure Data Factory
- Apache Airflow
- PostgreSQL
- Google BigQuery
Ways to work together
Fixed-scope assessment
Defined scope, timeline and price, with a clear report and priorities.
Ongoing programme
A team that implements and improves the measures month by month.
Experts on demand
Specialists who join your team when you need them.
FAQ
Questions about AI Strategy & Data
What do we get at the end of the workshop?
A short list of AI use cases ranked by value and feasibility, a data readiness report and a roadmap with costs and timelines.
Our data is messy. Can we still use AI?
Usually yes. We identify which data matters for the first use cases and fix that first, without waiting for a perfect data platform.
How much does it cost?
The workshop has a fixed price agreed in advance, based on the size of your company and the number of areas involved.
We are a small company. Is AI for us?
Yes. Small and medium companies often get the fastest returns, because a single well-chosen process can save many hours every week.
Do you also build the solutions?
Yes. The same team can build the data platform, the AI agents and the integrations defined in the roadmap.
Related services
Services that complement AI strategy
AI Agents & Automation
Assistants and agents that read your documents, answer your customers and automate repetitive processes, connected to your systems and governed with clear controls.
AI & Machine Learning
From the first use case to production: generative AI assistants, intelligent automation and machine learning models connected to your real business processes.
Cloud & DevOps
Cloud architecture, migration and management, together with DevOps practices that make your software faster to release and easier to run.
Contact
Talk to an AI strategy expert
Share a few details and we will get back to you with next steps.
What happens next
- 1 · Tell us about your needs with the form
- 2 · Free consultation with one of our experts
- 3 · Proposal with scope, timeline and estimate