Services
Upkeep
The monthly upkeep, with the accountability record at its core. Two variants: record, policy, and triggers, or including the technical maintenance of the systems we've built. Cancellable monthly.
The Partner
The monthly upkeep that keeps the accountability record current.
The monthly upkeep, with the accountability record at its core. Two variants: record, policy, and triggers, or including the technical maintenance of the systems we've built. Cancellable monthly.
Keeping the file current with every change: new guidance, an amended law like the Digital Omnibus, a new tool, an incident, a role change. Repeating the training whenever a trigger calls for it. The systems kept updated and monitored. And every quarter, one question on the table: what's the next piece of busywork we take away?
Accountability isn't a snapshot. Today's evidence is out of date next year: the law shifts, tools change, people move on. Without upkeep, everything that's been built slowly slides back to the old situation. Not from unwillingness, but from being busy. The Partner prevents that, and the record makes the value demonstrable every month: at any moment, the organization can show that its AI use holds up. The file is, and remains, yours. Whoever stops takes everything with them; whoever stays, stays because it's working.
The steps
- The handover: everything that exists (sorting map, scan report, file, systems) taken under management.
- The rhythm: a monthly check, a quarterly conversation, an annual review.
- At every trigger: whatever is affected gets updated, and the file logs what and why.
What isn't included
New build projects; those remain separate products with their own price. The Partner does flag where the next one sits, though.
The Supplier Scan
Name a tool and we find out what the supplier publishes about it, with the source alongside.
Free supplier scanA fit for you?
In half an hour we'll see which of these fits you, and whether you need one at all. No sales pitch, an honest picture.
Book an intro callHere's what that looks like in practice.
Three clients, one rule: the AI does the work, the human approves.
Read the case