Event-driven
System events trigger instant action. New support ticket? Triage agent responds. Contract uploaded? Review agent activates. Invoice received? Matching agent starts.
Deploy agents that monitor inboxes, watch for events, process documents, and execute workflows — without anyone pressing a button. They operate 24/7 in the background, escalating to humans only when they should. Not scripts. Not rules engines. Intelligent agents with guardrails.
1M+
Events processed daily
< 5s
Event-to-action response
100%
Audit coverage
Illustration Coming Soon
Autonomous agent dashboard showing active background agents, trigger events, and processing status
Suggested asset: images/product/autonomous-agents-dashboard
Autonomous agents follow a simple loop: watch for a trigger, evaluate the context, take action within defined boundaries, and log everything. They handle the routine so your team handles the exceptions.
System events trigger instant action. New support ticket? Triage agent responds. Contract uploaded? Review agent activates. Invoice received? Matching agent starts.
Agents monitor databases, dashboards, and data pipelines. Schema drift, anomalous values, threshold breaches, and missing records trigger immediate investigation.
One agent's output triggers the next. Invoice extraction feeds validation, validation feeds approval routing, approval feeds payment processing — fully autonomous.
Agents run on cadence — daily reconciliation, weekly compliance checks, monthly reporting. Set once, runs forever with full audit trails.
Any system that can fire a webhook can trigger an agent. CRM updates, payment events, deployment notifications, form submissions — all become agent triggers.
Agents watch email, Slack, Teams, and ticketing systems. Classify, route, draft responses, extract data, and escalate — before anyone reads the message.
These are not future concepts — enterprises deploy autonomous agents for these workflows right now, processing thousands of events daily with full governance.
70%
reduction in manual processing
Agents monitor shared mailboxes and ticketing queues. Classify by intent and urgency. Route to the right team. Draft responses for review. Extract attachments and structured data.
90%+
straight-through processing
Agents watch for incoming invoices, purchase orders, and contracts. Extract line items, match against POs, flag discrepancies, route approvals, and update the ERP — end to end.
Agents continuously scan for policy violations, regulatory changes, access anomalies, and audit gaps. Flag issues, generate reports, and escalate before regulators do.
24/7
continuous monitoring
New customer signs up? Agents provision accounts, send welcome sequences, verify documents, schedule kickoff calls, and track completion — all without manual handoff.
80%
reduction in onboarding time
Agents monitor CRM for stale opportunities, missing fields, overdue follow-ups, and conflicting data. Auto-enrich records, nudge reps, and keep forecasts accurate.
40%
improvement in data completeness
Agents watch infrastructure logs, error rates, and deployment pipelines. Correlate alerts, run diagnostics, create incident tickets, and page on-call — before humans notice.
< 30s
mean time to detect
Traditional RPA breaks when a form field moves or an email format changes. Autonomous agents understand intent, adapt to variation, and handle exceptions — because they reason about what they are doing, not just replay recorded clicks.
| Capability | Autonomous Agents | Traditional RPA |
|---|---|---|
| Understands unstructured inputs | ✓ | — |
| Adapts to format changes | ✓ | — |
| Handles exceptions intelligently | ✓ | — |
| Works across 300+ systems | ✓ | — |
| No brittle scripts to maintain | ✓ | — |
| Built-in escalation to humans | ✓ | — |
| Full decision audit trail | ✓ | ✓ |
| Operates on a schedule | ✓ | ✓ |
Every autonomous agent operates within explicit boundaries. Escalation triggers, approval gates, scope limits, and kill switches ensure agents do exactly what they should — and nothing more.
Define rules, thresholds, and boundaries. Every agent operates within explicit constraints before touching any system.
Human approval gates for high-impact operations. Agents pause and wait — Slack, email, or dashboard notification.
Immutable logs for every action: trigger, data read, decisions made, actions taken. Exportable, searchable, tamper-proof.
Rate-limited, scope-bounded, kill-switchable. Every agent can be paused or disabled instantly from admin.
Define thresholds for when agents must involve a human — dollar amounts, confidence scores, sensitive topics, or any custom rule. Agents pause and escalate, never guess.
High-impact actions require explicit human approval before execution. Send a Slack message, email, or dashboard notification — agent waits until approved.
Each agent operates within defined system boundaries. An invoice agent can read from email and write to the ERP — but cannot access HR systems or modify contracts.
Every autonomous action is logged: what triggered it, what data was read, what decisions were made, what actions were taken. Immutable, exportable, searchable.
Pause or disable any autonomous agent instantly from the admin dashboard. Scheduled agents can be suspended, event-driven agents can be deactivated — takes effect immediately.
Cap the number of actions an agent can take per hour, day, or week. Prevents runaway execution and ensures agents operate within expected volume bounds.
Tested in production with millions of events processed daily. Proven reliability across industries and geographies.
< 5s
Event-to-action response time
70%
Reduction in manual processing for routine tasks
24/7
Always-on operation with zero downtime
100%
Audit coverage on every autonomous action
Built on assistents' proven infrastructure that powers enterprise deployments across financial services, healthcare, logistics, and compliance. Sub-5s event-to-action response ensures autonomous agents act before humans notice. 100% audit coverage with redundant infrastructure across multiple cloud regions.
Autonomous agents run on the same assistents platform as conversational and voice agents. Same Context Engine, same Governance layer, same audit infrastructure.
Interfaces
Email, CRM, APIs, Webhooks, Slack, Tickets
Agent Engine
Trigger → Context → Decision → Action
Governance
Policies, Approvals, Scope, Rate Limits
Data Layer
Connectors, Context Engine, Audit Logs
Illustration Coming Soon
Platform architecture showing autonomous agents sharing the same governance and context layers
Suggested asset: images/product/autonomous-agents-architecture
Choose what activates your agent: a schedule, a system event, an inbox, a webhook, or a data change. Configure in the Agent Builder — no code required.
~ 1 day
Define scope boundaries, escalation rules, approval gates, and rate limits. The agent will operate within these boundaries and escalate everything else.
~ 2-3 days
Activate the agent. Watch it process events in real time from the dashboard. Review audit logs. Adjust thresholds as you learn. Scale when ready.
~ 1 week
See autonomous agents handle inbox triage, invoice processing, and compliance monitoring with your data. Get a custom architecture review and deployment plan within 48 hours.
Full audit trails, SOC 2 compliance, and governance controls built for regulated industries. Enterprise-grade from day one.
See our securityRapid deployment with dedicated onboarding. First autonomous workflow live within one week.
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