Automated invoicing
Problem Invoices and engagement letters were typed by hand from the hours log every month.
Solution The system drafts them in the firm's own house style; a partner checks and sends.
Systems we built, anonymised. Per case: the problem, the solution, and the time before and after.
Problem Invoices and engagement letters were typed by hand from the hours log every month.
Solution The system drafts them in the firm's own house style; a partner checks and sends.
Problem Orders and payments from a coach's training platform were copied into the books by hand.
Solution Now every order, payment and credit note is booked automatically.
Problem Hundreds of new-build leads were matched to the listings by hand.
Solution The system reads each buyer's search profile, picks the listings that fit and drafts the follow-up.
Problem A marketing agency pulled call and lead data together by hand to see who got called and when.
Solution The dashboard collects it automatically and shows per lead the time to the first call.
Problem Pace, payouts and targets per creator were spread over sheets and tools.
Solution Now every creator is on one screen, the ones falling behind on top.
Problem A process risk analysis (P-FMEA) took a three-hour session with several specialists.
Solution The system drafts it from the product data; the engineer checks.
Problem No central system knew the business, and AI output was copied into mail by hand.
Solution Now an AI system knows the business, writes in his voice and connects to his tools.
Problem Tools and dashboards side by side, copy-paste and data entry across all of them, and information scattered everywhere.
Solution One all-knowing AI system connects it all, so the operation runs far more efficiently.
Problem Admin and the same client questions took hours every week.
Solution Now an AI system runs on his own accounts, plus a tool clients use to make their own report.
Book a discovery call and we look at which work in your business a system can take over.
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