An AI agent is software that reads, decides and acts on your behalf — like an intern that doesn't sleep. This page explains what they actually do, where they fit, and how to build your first one before lunch.
A chatbot answers a question. A copilot suggests the next step inside one tool. An agent does the next step for you — across documents, systems and decisions — and stops when a human should take over.
Every useful agent — fancy or simple — does these three things in a loop.
Connects to your documents and systems — contracts, policies, tickets, CRM rows, emails. The agent already knows your business before it does anything.
Classifies, scores, and routes the next step against rules you wrote (and your senior people approved). Reasoning is shown, not hidden.
Calls a tool — Salesforce, Jira, ServiceNow, email, your own API. Pauses for a human when confidence is low. Logs every step for audit.
None of these are demos. They're the most common first agents teams build on Certant.
Reads every incoming contract, scores it against your policy library, flags clauses outside your envelope and notifies the right reviewer — with the citation attached.
Answers "how much leave do I have", "what's the policy on X" and "where do I find Y" — 24/7, with citations to the actual policy your members signed up to.
Reads your EBA, leave policy, expense policy and onboarding pack. Replies privately to staff with the exact paragraph that applies — without HR being the bottleneck.
If you've heard all three words this week, here's the difference.
This is the path most Certant customers take from "first login" to "production agent".
Point Certant at the documents and systems you already have. No data migration required.
Start from a triage, approval, or research template. You can change anything.
"Escalate over $50k." "Always cite the source." "Pause if confidence < 80%."
Run the agent against the last 30 days of real data. See exactly what it would have done.
One click to production. Versioned, rollback-able, observable. Same builder, your perimeter.
"Agents replace tasks, not roles." Repetitive review, lookup, classification and routing get faster. Your people move up to the judgement work the agent escalates.
An AI agent is software that reads documents and data, decides what to do next, and takes action on your behalf — like an intern that doesn't sleep. Unlike a chatbot, an agent doesn't just answer; it acts.
In Certant, an agent is a small graph of nodes: read → decide → act → notify → escalate. You can build one visually in an afternoon, drop in code when you need to, and replay it against real data before it touches production.
A chatbot answers questions. An agent reads, decides and acts — pulling a contract from your DMS, scoring it against your policy, opening a ticket, notifying the right team. Most agents include a chat surface, but chat is one of several ways to talk to them, not the whole product.
Safe agents share three traits. They are grounded in your data, not the open internet. Every step is logged and inspectable. They pause for a human when confidence is low. Certant agents include all three by default, and run inside your perimeter for regulated workloads.
In practice, agents replace tasks, not roles. Repetitive review, lookup, classification and routing get faster. The humans on your team move up to the judgement work the agent escalates — the work that actually needs your experience.
ChatGPT is a general assistant trained on the public internet. A Certant agent is grounded in your private documents, follows your business rules, calls your internal tools, and runs inside your perimeter — never sending your data to a public model.
Most teams ship a first useful agent in an afternoon using Certant's visual builder and a starter template. Production rollout — with integrations, approvals and audit logging — typically takes one to four weeks.
You choose. Certant Cloud runs in AWS, Azure or GCP regions you nominate. Sovereign deployments run inside your own VPC, on-prem, or air-gapped — same builder, your perimeter.
Upload a few documents. Pick a template. Watch it run. No install, no risk.