No engineers. No vendor implementation team. Drag, connect, replay, ship. The same builder regulated banks ship into production runs in your browser, free.
Off-the-shelf chatbots don't know your policy book. Custom-coded agents take a quarter and a senior engineer. Certant gives you both: your knowledge, your rules — visual canvas.
The end-to-end flow from "I want an agent" to "it's running in production".
Point Certant at the documents or systems the agent needs to know. Certant reads them and builds the map.
Approval bot, Triage bot, or Research bot. Start from one, change anything.
"Escalate over $50k." "Always cite the source." "Pause under 80% confidence." Plain English.
Run the agent against the last 30 days of real data. See every step. Diff vs the previous version.
One click. Versioned, rollback-able, observable. Cloud or your sovereign perimeter.
Each is fully editable. The shapes are the same — what's different is what they decide.
Reads each incoming item — a contract, a leave request, a purchase — checks it against your policy, and either approves it, redrafts it, or hands it to a human with a citation.
Watches an inbox, ticket queue or webhook. Classifies the topic and urgency, routes to the right team, drafts a first response with a citation, and updates the system of record.
Given a question, reads a defined corpus — your policy library, your case files, a specific archive — and returns a structured answer with citations. Same agent, different question every day.
You can hire someone to build this. Or you can ship it on Monday.
A senior AI engineer, plus a backend engineer, plus a quarter of integration work. Then the same conversation again next year when the policy changes.
One platform, unlimited agents. The non-engineer on your team owns it. The senior engineer goes back to the harder problems.
If your team can draw a process on a whiteboard, they can build a Certant agent. The whiteboard is the spec.
No. 90% of Certant workflows are built visually — drag a node, connect it, configure it. Code is available as an escape hatch for the 10% that need it (regex, custom logic, calling a niche internal API).
Most teams ship their first useful agent in an afternoon. Production rollout with integrations and approvals takes one to four weeks.
Approval bot (review and approve incoming items against your policy), Triage bot (classify and route work), Research bot (read a corpus and produce a structured answer). Each is fully editable.
A senior AI engineer in Sydney costs roughly A$200,000 per year. A Certant team plan starts at A$2,000 per month and ships unlimited agents. Most teams replace one or two engineer-quarters of work with their first three agents.
Yes. Any node can be a Python or JavaScript snippet. You keep the canvas; you keep the escape hatch.
Yes. The live demo runs in your browser. Sign up free, upload a document set, and the first agent is ready in minutes.
Free to try. No install. Live demo runs in your browser.