Scheduling back-and-forth
Messages just to find a time slot.
AI agents
AI agents that do the work, within rules you set
An AI agent doesn't just answer. It looks up information and takes actions in other systems: booking an appointment, updating a CRM record, creating a task. We build agents with written permissions, logs and a human in the loop.
What it is
What makes something an agent
An AI agent combines a language model with tools: functions it can call to read data or take action. Instead of only replying "we have availability on Thursday", an agent can check the real calendar, hold a slot and confirm the booking.
That power needs boundaries. Each agent we build has an explicit list of tools, rules for when to use them, limits on what it may change, and a path to a person when something falls outside the rules. Read more in what are AI agents.
Problems it solves
Where agents help
CRM hygiene
Records never updated after calls and chats.
Status questions
Customers asking where their order or request stands.
Benefits
What you gain
Tasks completed, not just answered
The agent finishes the job inside your tools.
24/7 coverage
Simple requests handled outside business hours.
Clean data
Actions recorded consistently in your systems.
Want to know the cost and where to start?
Tell us in a few lines what you need. The assessment is free and we reply within 1 business day.
Use cases
Agent examples
Booking agent
Checks real availability, holds the slot and confirms only after the customer agrees.
CRM assistant
Logs conversation summaries and next steps automatically.
Order status agent
Looks up orders and explains status in plain language.
Intake agent
Collects structured information before a sales call.
Internal ops agent
Creates tasks and reminders from incoming requests.
Escalation router
Detects urgent or sensitive cases and routes to the right person.
Safety
Permissions, logs and handoff by design
- Tool allow-list: the agent can only call the functions we define.
- Action limits: for example, it can book but not cancel without approval.
- Full logs: every tool call and result is stored.
- Handoff: your team can take over any conversation, and the agent pauses there.
How the project works
How we build agents
- 01
Choose one job
A specific task with a clear success metric.
- 02
Define tools and limits
What it can read, what it can change.
- 03
Test with real cases
Simulated conversations before going live.
- 04
Monitor and refine
Review logs and tighten rules.
Why Exacta
Why Exacta
Production experience
AtendeMais runs AI scheduling with human takeover in production.
Engineering discipline
Idempotent actions, queues and retries.
Conservative defaults
Agents start narrow and earn more autonomy.
Frequently asked questions
Frequently asked questions
Can an agent make mistakes?
Yes, which is why actions are limited, logged and reversible where possible, and people can step in at any time.
Which systems can agents connect to?
Anything with an API: CRMs, calendars, ticketing, internal databases and more.
Can you work with us remotely from Brazil?
Yes. We work in UTC−3, which overlaps with US East Coast mornings and European afternoons. Decisions and specs are written down, and every increment is testable in the browser. We don't have offices outside Brazil.
Go deeper
Articles and guides
Related services
Related services
Contact
Describe the job you want an agent to do
Which tools it should use and what a good outcome looks like.
- Reply within 1 business day
- No commitment
Start with one well-defined agent
The assessment helps pick the right first job.