AI agents for business, without the buzzwords
Software that reads your documents, decides under the rules you set, and does the next step. Here is what that means in practice.
Drag sideways to see the whole diagram
An AI agent is software that reads the things your business already has, decides what to do under your rules, and acts by calling the tools your team already uses.
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 person should take over.
What every agent does
Every agent does these three things in a loop, simple ones included.
Your documents and systems, so it knows your business before it does anything.
The next step against rules you wrote and your senior people approved.
By calling a tool, and pauses for a person when confidence is low.
Three agents teams build first
These are the first agents teams usually build on Certant.
Contract review agent
Reads every incoming contract, scores it against your policy library, flags clauses outside your envelope and notifies the right reviewer, with the citation attached.
- Flags the clauses outside your policy
- Pauses for a human on anything ambiguous
- Audit log on every decision
Member services agent
Answers "how much leave do I have", "what's the policy on X" and "where do I find Y", with citations to the actual policy your members signed up to.
- Answers the repeat questions without a person
- Hands off to a human with full context
- Answers in the member's own language
HR self-serve agent
Reads your EBA, leave policy, expense policy and onboarding pack, and replies privately to staff with the exact paragraph that applies, without HR being the bottleneck.
- Lives in Slack, Teams, or a web widget
- Private to the employee asking
- Cites the policy version that applies
The category in one table
If you've heard all three words this week, here's the difference.
| Chatbot | Copilot | AI agent | |
|---|---|---|---|
| What it does | Answers questions you type. | Suggests the next step inside one tool. | Takes the next step for you, across tools. |
| Where it lives | On a website, in a help widget. | Inside a specific app: your IDE, your CRM. | Wherever the work happens: chat, email, ticket, workflow. |
| Acts on your behalf | No. | Suggests; you click. | Yes, within the limits you set. |
| Grounded in your data | Sometimes, from an FAQ list. | Within one tool's data. | Across every document and system you connect. |
| Good for | Deflecting basic questions. | Speeding up an individual. | Replacing repetitive work end to end. |
Your first agent
The path from first login to a working agent.
- Connect Point Certant at the documents and systems you already have. No data migration required.
- Pick a template Start from a triage, approval, or research template. You can change anything.
- Set the rules "Escalate anything over the limit you set." "Always cite the source." "Pause when it isn't sure."
- Replay Run the agent over data you already have and see what it would have done.
- Ship Ship it in one click. Every version is kept and you can roll back.
The questions every buyer asks
What is an AI agent?
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, drop in code when you need to, and replay it against real data before it touches production.
How is an AI agent different from a chatbot?
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.
Are AI agents safe to use on real business data?
Three things make an agent safe on real data. It reads your documents rather than the open internet. Every step is logged and inspectable. It pauses for a person when confidence is low.
Certant agents include all three by default, and run inside your perimeter for regulated workloads.
Do AI agents replace people?
Agents take over tasks, not roles. Review, lookup, classification and routing get faster, and your people spend their time on the judgement the agent escalates.
How is this different from ChatGPT?
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. Your data never reaches a public model.
How long does it take to build a first agent?
Most teams have a first useful agent working in one sitting, using Certant's visual builder and a starter template. A production rollout, with integrations, approvals and audit logging, takes a few weeks.
Where does the data live?
You choose. Certant Cloud runs in AWS, Azure or GCP regions you nominate. Sovereign deployments run inside your own walls, your VPC, your servers, or with no outside connection at all. Same builder, your perimeter.
Build your first agent today
Upload a few documents, pick a template, and watch it run. Nothing to install.
Review, lookup, classification and routing get faster, and your people spend their time on the judgement the agent escalates.