AI agents for business, one system.
A single AI agent is a smart helper. A team of agents that checks each other's work and looks across contracts, administration and figures together is something else: a layer that reads your business and asks one question at the right moment.
Where an agent differs
An agent does not wait for a question
A chatbot answers when you type. An agent starts on its own: at night it reads new documents and figures and works out whether something changed that needs attention.
Agents look over each other's shoulder
What one finds, another checks. Only when a finding survives that counter-check does it reach a person. That saves a long list of empty alarms.
Every finding points to its source
An agent does not deliver a loose conclusion, but the document and the line it came from. That lets you check the outcome instead of believing it.
Meet the team
Eleven agents, each with one task. Nine work every night, two at their own rhythm.
Hours watch
Guards hours worked against what was agreed.
Invoicing watch
Guards that what was agreed is also invoiced.
Work-order watch
Guards that work orders are also billed.
Absence watch
Guards absence and what it means for staffing.
Margin signal
Flags where margin deviates.
Termination reader
Reads terminations and end dates and reports them in time.
Consistency check
Finds where the administration contradicts itself.
Financial summary
Turns the night into one financial overview.
The conductor
Assigns the work and guards the order.
Context finder
Adds the context to a signal.
Self-check
Checks the system's own work.
Around them, 22 automated checks
Agents do not work alone. Before a question goes to a person, automated checks verify the data and the outcome.
- Is last night's data complete and fresh.
- Is a period ready to be looked at.
- Does the source match the question.
As of 3 October 2026
And then you decide
Every outcome arrives as a question for the right person, with the source attached. Never as an instruction. Every action waits for your approval.
What the agents look at
Contracts
Terms, indexations, agreed rates and tacit renewals. What sits in hundreds of contracts is checked against reality again every night.
Administration
Invoices, entries and agreements that do not line up. Not as an after-the-fact check, but as a question while something can still be done.
Patterns across locations
What looks like an exception in one place is a pattern across the whole. A single report does not see that difference, a system does.
Frequently asked questions about AI agents
What does an AI agent do in a company?
An AI agent reads documents and figures on its own initiative and works out whether something has changed that needs attention. At GuardPilot every agent has one task, such as watching hours, invoicing or terminations.
Do AI agents replace employees?
The agents take over the searching that nobody can do every night. Your people keep the decision. Every outcome arrives as a question for the right person, with the source attached.
Can an AI agent make mistakes?
Yes, it can. That is why automated checks verify the data and the outcome, every finding points to its source, and you make the decision yourself.
How many AI agents does a company need?
That depends on the work, not on a number. GuardPilot works with a team of eleven agents and 22 automated checks, as of 3 October 2026, and that team grows with the work.