Six systems we build, and keep running
Six kinds of system, each one pointed at work that is costing you time or money today. Every one is built on your own data, runs in your own environment on your own accounts, and belongs to you in the contract. And once it is live somebody is still watching it: accuracy and cost checked, every change re-tested on your own cases, and a written report each month against the number we agreed before we started.
Start with the one that is costing you the most.
Agentic workflow automation
Agentic workflow automation hands a whole process to software agents: they read what arrives, look up what they need across your systems, take the next action, and stop at the points where a person should decide.
Document intelligence
Document intelligence puts frontier models on the contracts, invoices, claims, forms and scans that arrive every day: pulling out the fields, sorting and routing, checking one document against another, and holding back anything it is unsure about for a person to look at.
Customer and service operations
Requests arrive all day by email, chat, phone and portal, and most of them are versions of the same few dozen questions.
Knowledge and decision support
What an organisation knows tends to sit in three places at once: a policy library nobody has opened since the last revision, a shared drive that goes back further than anyone still working there, and the heads of four people who are busy.
Data and analytics agents
Data and analytics agents let people ask questions of governed data in plain words, then write the query, check it, and show the definitions behind the number they return.
Custom AI applications
Sometimes nothing on the market does the thing, because the capability you need sits in the model itself.
What comes with every one of them.
- 01Tests built from your own cases, which decide go-live and which every change afterwards has to pass again. Engineers call this an evaluation suite.
- 02It runs in your own environment, on your own accounts, through enterprise model endpoints that do not train on your data.
- 03Clear limits on what the system may touch, a record of everything it did, and the points where a person decides, all agreed before anything is built.
- 04The code, the data, the prompts and the tests are yours by contract. End the relationship tomorrow and the system keeps running.
- 05Nothing is welded to one model. When a better one arrives we prove it on your cases first, and it only reaches your users if it wins.
- 06Somebody still watching it after go-live, if you want that. Under Managed AI Operations accuracy and cost are checked, and you get a written report each month against the number agreed at the start.
Bring the frontier into production.
Tell us about the process you want to change. We reply within one business day.