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Find out what is worth automating before you spend on AI
Most AI projects in small and medium businesses stall for the same two reasons: the data underneath is not ready, or the chosen use case never had a business case. In 1 to 2 days I review your workflows, systems and data, and tell you plainly what is feasible, what it costs and where the return is highest.
Sounds familiar?
- You know AI could help, but not where to start or what is realistic
- A previous chatbot or proof of concept never made it into daily use
- Your data sits in a CRM, an ERP, spreadsheets and inboxes that do not talk to each other
- You need a number for the budget conversation, not another slide deck
What I deliver
Workflow and bottleneck review
Structured sessions with the people who do the work, mapping where time and money leak today.
Data readiness score
An honest assessment of data quality, access and structure, and what has to be fixed before any agent can rely on it.
Use cases ranked by ROI
Candidate automations and AI agents ranked by effort, risk and payback, with the top one scoped in detail.
Fixed-price proposal
A concrete plan, timeline and price for the first build, so you can decide with real numbers.
Typical projects
- Deciding between an AI agent, a simple automation or a data cleanup first
- Checking whether your data can support a private knowledge assistant
- Validating a vendor or agency proposal before you sign it
Questions
What does the audit cost?
It starts from €100, depending on the number of systems and workflows in scope. If you go ahead with the project, the full audit fee is credited, so the audit is free.
Do I need a technical team to take part?
No. I need access to the people who run the workflows and read access to the relevant systems. I handle the technical review myself.
What if the audit shows AI is not the right answer?
Then I will tell you. Sometimes the best return is a data cleanup or a simple automation, and the report says so.
Next step
Cloud Data Engineering →
Clean, consolidated data on Google Cloud: automated pipelines from your CRM, ERP and apps into BigQuery, ready for reporting, automation and AI.