TRG-01
Event-driven
System events trigger instant action. New support ticket? Triage agent responds. Contract uploaded? Review agent activates. Invoice received? Matching agent starts.
SHEET 01Autonomous AgentsREV A
AI agents that work while you sleep.
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
< 5sEvent-to-action response
100%Audit coverage
SHEET 02How It WorksTRIGGERS
Set the trigger. Define the guardrails. Let the agent run.
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
- Data
- User
TRG-02
Data change detection
Agents monitor databases, dashboards, and data pipelines. Schema drift, anomalous values, threshold breaches, and missing records trigger immediate investigation.
TRG-03
Conditional chains
One agent’s output triggers the next. Invoice extraction feeds validation, validation feeds approval routing, approval feeds payment processing — fully autonomous.
TRG-04
Scheduled
Agents run on cadence — daily reconciliation, weekly compliance checks, monthly reporting. Set once, runs forever with full audit trails.
TRG-05
Webhook & API
Any system that can fire a webhook can trigger an agent. CRM updates, payment events, deployment notifications, form submissions — all become agent triggers.
TRG-06
Inbox monitoring
Agents watch email, Slack, Teams, and ticketing systems. Classify, route, draft responses, extract data, and escalate — before anyone reads the message.
SHEET 03Use CasesIN PRODUCTION
What autonomous agents do today.
These are not future concepts: enterprises deploy autonomous agents for these workflows right now, processing thousands of events daily with full governance.
UC-01
Email & inbox triage
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.
70%reduction in manual processing
UC-02
Invoice & document 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.
90%+straight-through processing
UC-03
Compliance monitoring
Agents continuously scan for policy violations, regulatory changes, access anomalies, and audit gaps. Flag issues, generate reports, and escalate before regulators do.
24/7continuous monitoring
UC-04
Customer onboarding
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
UC-05
Pipeline & deal hygiene
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
UC-06
IT operations & alerting
Agents watch infrastructure logs, error rates, and deployment pipelines. Correlate alerts, run diagnostics, create incident tickets, and page on-call — before humans notice.
< 30smean time to detect
SHEET 04Beyond RPACOMPARISON
Not scripts. Not bots. Agents that understand.
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.
CapabilityAutonomous AgentsTraditional RPA
Understands unstructured inputsSupportedNot supported
Adapts to format changesSupportedNot supported
Handles exceptions intelligentlySupportedNot supported
Works across 300+ systemsSupportedNot supported
No brittle scripts to maintainSupportedNot supported
Built-in escalation to humansSupportedNot supported
Full decision audit trailSupportedSupported
Operates on a scheduleSupportedSupported
Reasoning agents 300+ systems exceptions escalate to humans
SHEET 05Governance & SafetyCONTROL PLANE
Autonomous does not mean uncontrolled.
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.
LAYER 01
Policy Layer
Define rules, thresholds, and boundaries. Every agent operates within explicit constraints before touching any system.
LAYER 02
Approval Layer
Human approval gates for high-impact operations. Agents pause and wait — Slack, email, or dashboard notification.
LAYER 03
Audit Layer
Immutable logs for every action: trigger, data read, decisions made, actions taken. Exportable, searchable, tamper-proof.
LAYER 04
Execution Layer
Rate-limited, scope-bounded, kill-switchable. Every agent can be paused or disabled instantly from admin.
Escalation triggers
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.
Approval gates
High-impact actions require explicit human approval before execution. Send a Slack message, email, or dashboard notification — agent waits until approved.
Scope boundaries
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.
Audit trails
Every autonomous action is logged: what triggered it, what data was read, what decisions were made, what actions were taken. Immutable, exportable, searchable.
Kill switches
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.
Rate limiting
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.
SHEET 06PerformancePROVEN
Enterprise-grade autonomous execution
Tested in production with millions of events processed daily. Proven reliability across industries and geographies.
< 5sEvent-to-action response time
70%Reduction in manual processing for routine tasks
24/7Always-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.
SHEET 07ArchitectureSHARED PLATFORM
Built on the same platform. Same governance. Same context.
Autonomous agents run on the same assistents platform as conversational and voice agents. Same Context Engine, same Governance layer, same audit infrastructure.
L-01
Interfaces
Email, CRM, APIs, Webhooks, Slack, Tickets
L-02
Agent Engine
Trigger → Context → Decision → Action
L-03
Governance
Policies, Approvals, Scope, Rate Limits
L-04
Data Layer
Connectors, Context Engine, Audit Logs
SHEET 08Get StartedDEPLOY
From idea to autonomous agent in days, not months.
01~ 1 day
Define the trigger
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.
02~ 2-3 days
Set the guardrails
Define scope boundaries, escalation rules, approval gates, and rate limits. The agent will operate within these boundaries and escalate everything else.
03~ 1 week
Deploy and monitor
Activate the agent. Watch it process events in real time from the dashboard. Review audit logs. Adjust thresholds as you learn. Scale when ready.
SHEET 09FAQNOTES
Frequently asked questions
01What are autonomous AI agents?
Autonomous AI agents operate independently on repetitive, high-volume tasks without human intervention. They monitor triggers (inboxes, events, schedules), make decisions within defined policy boundaries, execute actions, and escalate only when exceptions arise.
02How are autonomous agents kept safe?
Every autonomous agent operates within governance guardrails — permission checks, policy enforcement, confidence thresholds, and escalation triggers. Agents can never exceed their defined authority, and all decisions are logged in immutable audit trails.
03What tasks can autonomous agents handle?
Common use cases include inbox triage and response, invoice processing and three-way matching, compliance monitoring, document classification, ticket categorization, scheduled reporting, and background data quality checks across enterprise systems.
04How do autonomous agents handle edge cases?
When an agent encounters a situation outside its confidence threshold or policy boundaries, it automatically escalates to a human reviewer with full context. You define the escalation rules — the agent follows them consistently.
05What volume can autonomous agents process?
The platform processes 1M+ events daily with sub-5-second event-to-action response times. Autonomous agents scale elastically to handle peak volumes without capacity planning, and 100% of actions are covered by audit trails.
SHEET 10Sign-offREADY
Request an Autonomous Workflow Walkthrough
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.
- Scope
- Autonomous agents · background workflows
- Platform
- SOC 2 Type II · 100% audit coverage
- Response
- Event to action · under 5 seconds
- Sheet
- 10 of 10 · Autonomous Agents
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