AI + engineering services
Deciding where AI should start in your company
Many companies already have a few AI subscriptions, a chatbot someone tried and a list of ideas nobody has ranked. We spend time with the teams doing the work and follow a few real tasks from start to finish. Along the way we look at the data each task depends on: where it lives, how clean it is and who owns it. You get a ranked list of opportunities with an honest view of effort, cost and risk for each. It comes with a first project scoped well enough to start building. We also look at what your people need to use the result well, from training to a clear owner for each system. You can give the plan to another supplier or build it yourselves, and it is written to work for either.
Start with your workflow. We agree the first deliverable, data boundaries, scope and budget before work begins.
What we can deliver
What your team receives.
- Interviews and task walkthroughs with the teams involved
- Data inventory for each candidate use case: location, quality and owner
- Ranked list of opportunities with effort, running cost and risk notes
- A scoped first project with acceptance criteria and an estimate
- Training and ownership plan for the people who will use it
Illustrative project example
AI strategy and roadmap
A distributor with 60 staff is weighing three ideas: answering supplier emails, searching technical datasheets and reconciling invoices against delivery notes. Walking through each one with the people who do the work shows that reconciliation has clean data in the ERP and clear rules. The datasheets are scanned and inconsistent. The roadmap puts reconciliation first and lists the scan clean-up needed before datasheet search makes sense.
The final design follows your systems, documents and operating requirements.
Keep your team in control.
Data protection
Map approved data sources, access rules, retention and provider use before connecting AI to company information.
EU infrastructure options
Scope EU servers or self-hosting and disclose the processing location of model APIs, logs and backups.
Human approval
Agree where AI may suggest, where it may act and where a person must approve the next step.
Can we start small?
Yes. Start with one workflow, one team and an agreed outcome. We scope the pilot after learning about your data, systems and constraints.
Can our data stay in the EU?
We can scope EU-hosted or self-hosted options. The proposal identifies where each component processes and stores data, which providers are involved, and any transfer or remote-access implications. EU hosting alone does not establish compliance.
Can we use the tools we already have?
We start with your current workflow and systems. The proposal identifies the integrations, data access and handoffs needed for a useful first deliverable.