AI automation services
We automate the repetitive work that slows your operations down, from reading documents to routing approvals and closing the books. Your team keeps control of every decision that matters, and gets back the hours that used to go on copying data between systems.
Automation services
How we work on it.
Start with the process
We map how the work really happens, including the exceptions, before choosing tools. Automating a broken process only makes the mess faster.
People sign off on what matters
Payments, rejections and anything with legal weight pass through a person. The automation prepares the decision and records who made it.
Measure before switching over
We compare automated results with the manual process on real volume, so you decide on go-live with numbers in front of you.
Built to be maintained
Clear logs, alerts and documentation mean your team can see what ran, what failed and why, long after we hand over.
Related work.
- Finance operations
AI invoice approval agent that cites the policy clause behind every decision
100%of automatic decisions cite a policy clause- AI agents
- Human in the loop
- RAG
- Healthcare
Document parsing for patient referrals, with 80% less manual intake work
80%less manual intake work- Document parsing
- AI agents
- Claude
- Logistics
How AI agents saved a freight forwarder €400k a year on shipment exceptions
€400ksaved a year- AI agents
- LangGraph
- Workflow automation
Built with.
All technologiesFurther reading.
Document parsing with LLMs: extracting data from invoices and forms
How to turn invoices and forms into reliable structured data with LLMs, schemas, validation and a review queue for the cases that need a person.
4 min read
Human-in-the-loop AI agents: design patterns for production
The patterns we use to run AI agents safely in production: approval checkpoints, confidence thresholds, tool permissions, audit trails and fallbacks.
4 min read
LLM evals: how to test AI features before every release
A practical approach to LLM evals: build a test set from real cases, combine code checks with model grading, and block releases that regress.
5 min read
Common questions.
Frequent, time-consuming work with clear rules and a measurable error cost. Invoice intake, approvals, reconciliation and request triage often come out on top. We rank candidates by effort saved and build difficulty during discovery.
Classic RPA clicks through screens and breaks when a layout changes. We prefer APIs and direct integrations, and use language models for the unstructured parts such as emails and documents. Where screen automation is the only route, we use it deliberately and monitor it closely.
A single well-defined workflow moves much faster than a department-wide programme. We agree the timeline after discovery, once we know the systems, data quality and number of exceptions involved.
We run workflows in EU regions or your own infrastructure, use least-privilege access to each system and log every run. For sensitive data we can use EU-hosted or self-hosted models, and we agree the data processing terms before work starts.
In practice it removes the copying, checking and chasing, and moves people towards exceptions, customers and judgement calls. How you use the freed capacity is your decision, and we design the workflows around the team you have.