Services
Practical automations, built to fit your process and shipped to production.
Four services that combine: most engagements start with a document flow to automate, then extend to the interface that makes the data usable.
Your inbox, handled on its own
Every incoming email gets read, understood and sorted automatically. The right actions fire without anyone opening the mailbox.
- Structured data extraction (typed JSON) from free-form text
- Intent classification and routing to the right team or system
- Action triggers: ticket creation, CRM update, notification, auto-reply
PDFs in, clean data out
Invoices, quotes, contracts: documents are read and turned into usable data. No manual re-entry.
- OCR for scanned files, native parsing for digital PDFs
- Key fields extracted: amounts, dates, VAT, parties, line items
- Consistency checks and confidence scoring, with human review on doubt
Data your clients actually read
A clean interface where your clients and teams see what matters, instead of a raw export to decode.
- Custom dashboards shaped around your clients' real workflows
- Filters, search and exports, with role- and org-based access
- Live updates wired straight to your processing pipelines
From idea to app in production
The full product, built end-to-end: back end, interface, deployment and support once it is live.
- API design and database modelling
- Polished web and mobile interfaces, responsive and accessible
- Deployment, CI/CD, monitoring and handover to your own team
Included in every engagement
Code and data are yours
Git repository, documentation and access delivered in your name. No dependency on me to keep running the tool.
Fixed scope and price
Each step comes with a written quote and a defined deliverable. No surprise invoice at the end of the month.
Human in the loop
Uncertain extractions are flagged and routed to a human instead of silently writing bad data.
Confidentiality
NDA signed on request, GDPR-compliant handling, European hosting by default.
Every step has a deliverable and a price agreed up front. You can stop at the end of any of them.
- 015 days
Diagnostic
I observe the real process, measure the time spent and map the flows. Deliverable: a costed scoping note with expected gain and implementation cost.
- 022-3 weeks
Prototype
A first working version on your real data, tested by your team. Goal: validate accuracy before investing further.
- 032-4 weeks
Production
Integration with your tools, edge-case handling, consistency checks, logging and manual fallback whenever confidence is low.
- 04ongoing
Support
Monitoring, adjustments and new features. The code and documentation are yours: your team can take over at any point.
Let's talk about your process
Thirty minutes to understand your document flow and tell you, plainly, what can be automated and what cannot.