Custom or shared agents that do real work
Custom agents built around your processes, or shared agents ready to configure, like a writing verifier. You approve what matters, with no technical background needed.
Made for your company, never off the shelf
Built around your processes
Any team, any task, configured in your tools. Back office, reporting, watch, documents, follow-ups: whatever takes your people's week.
Built on your expertise
We capture how your experts work, so agents do it your way, in your words.
Improved over time
Every correction teaches them; quality is tracked against your standard.
Work that lasts days
They follow a case for weeks: send, wait, remind, pick up where they left off.
Every step on record
What it read, decided and did, and why, with the cost of each run.
Agents that work the way your best people do
For a company without an AI team, this is what makes the difference: the know-how stays yours, and the agents keep learning it.
Interviews, examples of good work and the rules nobody wrote down become the procedures each agent follows.
Started by an email, a file or a schedule, it works in your tools and stops where a person should decide.
Each edit at a checkpoint is kept. The ones that repeat become rules, reviewed with your experts each month.
Start with drafts and approvals. Routine actions run alone once the track record holds up, never before.
You see everything they do
Examples from companies like yours
Back office
Invoices, orders, disputes, onboarding, data entry in old software.
Reporting and reviews
Client reports, performance reviews, the monthly management pack.
Market and regulatory watch
Checked on a schedule, filtered on your criteria, briefed in Desk.
Documents and proposals
Proposals, decks and reports drafted in your templates, in Forge.
Follow-ups
Leads, documents to collect, unpaid invoices, chased politely.
Help for your employees
Answers from your documents in Teams, Slack or by email.
Questions teams ask first
Do we build the agents ourselves?
No. We build custom agents and configure shared ones for you. Your experts teach them and approve their work; nobody on your side needs to code.
What happens when an agent is not sure?
It stops and asks. Anything outside its rules goes to the person in charge, with what it has found so far.
How do you capture our experts' know-how?
Examples of good and bad work, then every correction they make in Gate. What repeats becomes a rule the agent follows.
Can agents talk to our customers today?
Not yet. Client-facing apps are coming soon; today we build agents for the back office and for your employees.
Which AI models do you use?
The one that does each job best, from Anthropic, OpenAI, Google, Mistral AI or others. We can change it later without rebuilding anything.
See the platform on your own processes
A 30-minute demo on how your company works, and an honest view of where agents would pay first. Nothing to prepare.