Your AI workforce — across every channel
Build, configure, and deploy AI agents that understand your customers, follow your rules, and know when to ask for help — composed into an agent stack that works as one workforce.
500 conversations, no credit card.
What's in AI Agents
- CapabilitiesThe actions an agent may run against your own systems mid-conversation.
- GuardrailsEvery draft reply is checked before it is sent.
- Agent StacksSpecialists, an orchestrator, handover and guardrails, composed once.
- SpecialistsOne agent per domain, each with its own instructions and knowledge.
- OrchestratorReads the message and hands it to the right specialist.
- Handover to humanWhen the AI stops and which team the conversation goes to.
- Action tiersHow much proof a customer needs before a capability runs.
- PlaybooksStep-by-step procedures a specialist follows.
- Sensitive data protectionCard numbers and the like are masked before the agent sees them.
Every AI workforce is built as an agent stack
Every AI workforce in Atender is built as an agent stack: specialist agents that each own a domain, an orchestrator that reads the message and hands it to the right one, handover settings that say when a person takes over, and guardrails that check every reply before the customer sees it. Your customer experiences one conversation. You get one workforce you can shape.
- 01
Specialists
Billing, tech, sales — each with its own instructions, knowledge and capabilities.
- 02
Orchestrator
Reads the message and hands it to the right specialist.
- 03
Handover
Decides when a person takes over, and which team gets it.
- 04
Guardrails
Check every reply before the customer sees it.
Watch an agent stack handle a real request
Build your AI team
Add a specialist for support, sales, billing, or anything else. Each one gets a Responsibility line saying what it covers, its own Instructions, its own personality, and its own tabs for knowledge, capabilities and playbooks. The result is an AI team shaped like your real one: specialists that stay in their lane and hand off when a conversation crosses a boundary.
- Knowledge: which parts of the knowledge base and handbook this specialist may answer from
- Playbooks: the steps it follows for a given kind of question
- Capabilities: the actions it is allowed to run
Every conversation finds the right agent
The orchestrator reads what the customer actually wrote and hands it to the specialist whose responsibility covers it, so a cancellation threat phrased as a billing complaint still reaches the right one. Add your own routing rules in plain language — “for refund questions, prefer the Billing specialist” — and they sit on top of the built-in ones. A single thread can pass between specialists without the customer noticing.
AI that knows when to step back
Handover runs on escalation keywords, frustration signals and stall detection. You can also switch on Hand over when the question is out of scope, so a message that does not clearly match a specialist goes to a person instead of getting an answer. The conversation goes to one fixed team, or the AI picks from the teams you allow — and the whole thread goes with it.
- Required information: facts the agent must collect before it hands over
- Handover instructions in plain language, for the cases the switches do not cover
- Turn it off entirely, and the AI is never given the handover tool at all
Safe by design
Guardrails read every draft reply before the customer sees it. A reply that fails is rewritten; one that cannot be rewritten is replaced with a fallback rather than sent. Separately, sensitive data protection masks fields such as card numbers, security codes and passwords out of an API response before the agent ever reads them, and you can add your own field names to the list.
- Stated a fact the knowledge did not support
- Claimed an action it did not take, or promised one with no capability behind it
- Promised a human without handing over
Give your AI agents real capabilities
A capability is one action an agent may take against one of your own systems. You point Atender at the API, it reads the definition, and you publish the capability and assign it to the specialists that should have it. Authentication covers API keys, OAuth2 and bearer tokens. Every capability carries an action tier, so an order lookup can be open to anyone while a change to an account needs a verified or signed-in customer first.
- Action tiers: no proof, verified customer (a code sent to a channel on their account), or signed in on the connected system
- Risky actions get a confirmation step before they run
- An unverified caller only ever sees the capabilities open to anyone
AI Agents power every channel in Conversations. They draw answers from the Knowledge Base, follow rules set in Automation & Workflows, and their performance shows up in Analytics. When they need help, Monitor shows it in real time.
Conversations
AI agents live inside every conversation, handling messages across all connected channels.
Knowledge Base
Agents pull verified answers from your knowledge base to stay accurate and on-brand.
Automation
Workflows and automation rules guide agent behavior, triggers, and escalation paths.
Analytics
Agent performance, resolution rates, and conversation metrics feed directly into dashboards.
Monitor
Real-time visibility into active agent conversations, escalations, and system health.
How your AI workforce actually works.
See Atender in action
Try the full platform for free. Or book a demo and we will walk you through it.
500 conversations, no credit card.