Your documents handled
without manual entry.
Emails, PDFs and invoices read by custom AI tools, checked, then delivered clean into your systems. Your team validates instead of retyping.
Reply within one business day · First call with no commitment
Experience gained at
The hidden cost of manual entry
Three symptoms that show up in almost every company I work with.
An inbox that never empties
Dozens of requests a day to read, sort and reassign by hand. The whole process depends on one person, and stops when they are away.
PDFs retyped by hand
Invoices, payment notices, purchase orders: the same amounts and references keyed two or three times into two or three different tools.
Data nobody can read
The information exists, but it sits in raw exports nobody opens. Decisions end up being made on gut feel.
Proven building blocks, assembled around your existing process — not the other way round.
Your inbox, handled on its own
Every incoming email gets read, understood and sorted automatically. The right actions fire without anyone opening the mailbox.
PDFs in, clean data out
Invoices, quotes, contracts: documents are read and turned into usable data. No manual re-entry.
Data your clients actually read
A clean interface where your clients and teams see what matters, instead of a raw export to decode.
From idea to app in production
The full product, built end-to-end: back end, interface, deployment and support once it is live.
1,000+
emails and documents handled every week by the delivered tools
4 h
freed up every day in the teams using them
24 h
business-day response time on any request
Figures observed in production at a client. Results depend on your volume and data quality.
Payment notice automation
A tool that reads payment notices received by email, extracts the financial data with an LLM and prepares the reply email for one-click approval.
- emails and documents per week
- 1,000+
- freed up per day
- 4 h
- manual re-entry
- 0
emails and documents per week
freed up per day
manual re-entry
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.