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AI Agents Overview

Deploy autonomous AI agents across finance, HR, vendors, and more that handle complex, multi-step business processes 24/7 without constant supervision.

Muin includes a growing library of AI agents across 8 modules: Document Intelligence, Finance, HR, Vendors, CRM, Nonprofit, Compliance, and General. These autonomous AI workers handle complex, multi-step processes. Unlike simple workflows that follow rigid rules, agents can analyze documents, make decisions, and take appropriate actions—all without constant human oversight.

What Are Muin Agents?

Agents are intelligent automation that:

  • Run autonomously - Work 24/7 without supervision
  • Make decisions - Analyze context and choose actions
  • Handle exceptions - Know when to escalate to humans
  • Learn patterns - Improve over time
  • Report results - Full transparency on what they did

Think of agents as skilled virtual employees who never sleep and never forget.

Agents vs. Workflows

Both agents and workflows automate work, but they’re suited for different tasks:

AspectWorkflowsAgents
LogicRule-based (if/then)AI-driven decisions
ComplexitySingle path, predictableMulti-step, adaptive
ExceptionsFollow defined pathsHandle novel situations
OversightRuns exactly as configuredReports and escalates
Best forRouting, notifications, simple actionsProcessing, analysis, complex tasks

When to Use Workflows

  • Route documents for approval
  • Send notifications on events
  • Update status based on conditions
  • Simple, predictable processes

When to Use Agents

  • Process and categorize documents
  • Match invoices to purchase orders
  • Verify document completeness
  • Monitor compliance and deadlines
  • Handle tasks with many variables

How Agents Work

Agents follow a consistent pattern:

Triggered → Analyze → Plan → Execute → Report
    │          │        │        │         │
 Started   Understand  Decide   Action   Results

1. Triggered

Agents start when:

  • Triggered by a workflow
  • Scheduled to run
  • Manually started
  • API call

2. Analyze

The agent examines:

  • Documents in scope
  • Extracted data
  • Historical context
  • Related records

3. Plan

Based on analysis, the agent:

  • Determines what needs to happen
  • Identifies the best approach
  • Considers exceptions and edge cases

4. Execute

The agent takes action:

  • Updates document fields
  • Creates or completes tasks
  • Routes for human review
  • Triggers other workflows

5. Report

Every agent run produces:

  • What was processed
  • Decisions made
  • Actions taken
  • Exceptions flagged
  • Performance metrics

Agent Library

Muin includes a growing library of pre-built agents across 8 modules, ready to deploy (15 are live in the private beta today). Here are some of the most-used agents.

Invoice Processing Agent

Purpose: Process incoming invoices end-to-end

What it does:

  • Verifies invoice completeness
  • Extracts and validates data
  • Matches to purchase orders (three-way match)
  • Detects duplicates
  • Routes for appropriate approval
  • Flags anomalies for review

Configuration:

  • PO matching tolerance (% variance)
  • Auto-approval threshold
  • Duplicate detection rules
  • Approval routing rules

Document Verification Agent

Purpose: Check documents for completeness and accuracy

What it does:

  • Verifies required fields present
  • Validates data formats
  • Checks for inconsistencies
  • Flags incomplete documents
  • Requests missing information

Configuration:

  • Required fields by document type
  • Validation rules
  • Action on verification failure

Compliance Monitoring Agent

Purpose: Monitor certifications, licenses, and compliance documents

What it does:

  • Tracks expiration dates
  • Sends renewal reminders
  • Flags expired credentials
  • Monitors compliance status
  • Generates compliance reports

Configuration:

  • Alert thresholds (days before expiration)
  • Notification recipients
  • Escalation rules
  • Report schedule

Reconciliation Agent

Purpose: Match transactions across documents and systems

What it does:

  • Matches invoices to payments
  • Compares POs to receiving records
  • Identifies discrepancies
  • Reconciles across periods
  • Reports unmatched items

Configuration:

  • Matching rules
  • Tolerance thresholds
  • Period to reconcile
  • Exception handling

Data Extraction Agent

Purpose: Extract and structure data from documents

What it does:

  • Processes batches of similar documents
  • Extracts specified fields
  • Validates extractions
  • Exports to structured format
  • Handles variations in document format

Configuration:

  • Target document type
  • Fields to extract
  • Output format
  • Validation rules

Activating an Agent

From the Agent Library

  1. Navigate to Agents → Library
  2. Browse available agents
  3. Click View Details on desired agent
  4. Review capabilities and configuration options
  5. Click Activate

Configuration Steps

  1. Name your instance - Give it a meaningful name
  2. Set scope - Which documents/records to process
  3. Configure settings - Agent-specific options
  4. Set schedule - When to run (or continuous)
  5. Define escalation - Who handles exceptions
  6. Review and activate

Example: Activating Invoice Processing Agent

Name: AP Invoice Processor
Scope: Finance Module - Invoices
Settings:
  - PO matching: Required for >$500
  - Match tolerance: 2%
  - Auto-approve: Invoices <$100 with PO match
  - Duplicate window: 30 days
Schedule: Continuous (process as documents arrive)
Escalation: Create task for AP Manager

Monitoring Agents

Agent Dashboard

See all your agents at a glance:

Key Metrics:

  • Active agents count
  • Items processed today/this week
  • Success rate
  • Exceptions requiring attention
  • Performance trends

Individual Agent Status

Each agent shows:

  • Current status (Active, Paused, Error)
  • Last run time
  • Items processed
  • Success/failure count
  • Pending items

Run History

See detailed history of agent runs:

  1. Navigate to Agents → select agent → History
  2. View all runs with timestamps
  3. Filter by status (Success, Exception, Error)
  4. Click any run for details

Run Details

Each run record includes:

  • Start and end time
  • Documents/items processed
  • Decisions made (with reasoning)
  • Actions taken
  • Exceptions and how handled
  • Any errors

Agent Notifications

When Agents Notify You

Agents send notifications for:

  • Exceptions - Items requiring human review
  • Errors - Processing failures
  • Completions - Batch processing finished
  • Milestones - Significant thresholds reached

Configuring Notifications

  1. Open agent settings
  2. Navigate to Notifications tab
  3. Configure for each event type:
    • Email recipients
    • In-app notification
    • Slack channel
    • Escalation timing

Exception Handling

When an agent encounters something it can’t handle:

  1. Agent logs the exception
  2. Creates a task for human review
  3. Sends notification
  4. Continues processing other items
  5. Human resolves exception
  6. Agent can re-process if needed

Agent Performance

Understanding Metrics

MetricDescriptionGood Range
ThroughputItems processed per hourVaries by agent
Success Rate% completed without exceptionAbove 95%
Exception Rate% requiring human interventionUnder 5%
Processing TimeAverage time per itemDepends on complexity

Improving Performance

Reduce exceptions:

  • Review common exception types
  • Adjust agent settings to handle
  • Improve document quality

Increase throughput:

  • Process in batches where possible
  • Optimize configuration
  • Ensure adequate resources

Benchmarking

Compare your agents to baselines:

  • Industry averages (when available)
  • Your historical performance
  • Before/after configuration changes

Using Agents and Workflows Together

Agents and workflows complement each other.

Workflow Triggers Agent

A workflow can start an agent:

  1. Workflow triggered by document upload
  2. Initial routing and tagging by workflow
  3. Workflow action: “Run Invoice Processing Agent”
  4. Agent handles complex processing
  5. Agent completion triggers next workflow step

Agent Creates Workflow Tasks

Agents can trigger workflows:

  1. Agent processes documents
  2. Agent creates task or updates status
  3. Status change triggers workflow
  4. Workflow handles routing and notifications

Example: Combined Automation

Invoice received
    ↓
Workflow: Tag by vendor, check for PO number
    ↓
Agent: Process and match invoice
    ↓
Agent outcome: Matched / Not matched / Exception
    ↓
Workflow: Route based on outcome
    - Matched under $500 → Auto-approve
    - Matched over $500 → Manager approval
    - Not matched → AP review
    - Exception → Senior AP review

Best Practices

Deployment

  1. Start with one agent - Learn before deploying many
  2. Use conservative settings - Widen scope as confidence grows
  3. Monitor closely initially - Watch early runs carefully
  4. Iterate based on exceptions - Adjust to reduce manual intervention

Configuration

  1. Match to business rules - Align with existing policies
  2. Set appropriate thresholds - Balance automation vs. oversight
  3. Define clear escalation - Know who handles what
  4. Document custom settings - Future reference

Ongoing Management

  1. Review exceptions weekly - Look for patterns
  2. Adjust settings monthly - Optimize based on data
  3. Audit quarterly - Ensure still aligned with needs
  4. Track ROI - Measure time saved

Troubleshooting

Agent Not Running

  1. Check agent status (Active/Paused)
  2. Verify trigger conditions
  3. Check schedule settings
  4. Review error logs

High Exception Rate

  1. Review exception types
  2. Identify common causes
  3. Adjust settings or validation
  4. Improve data quality at source

Performance Degradation

  1. Check for volume spikes
  2. Review recent configuration changes
  3. Verify system resources
  4. Contact support if persistent

Next Steps

Now that you understand agents: