Business Processes That Run Without Babysitting
Connect internal systems via API, automate approval flows, run scheduled reports, and synchronize data across platforms — with AI agents that understand context and handle exceptions, not just follow scripts.
The Glue Between Systems Is People
Glue Code Everywhere
Your systems don't talk to each other natively. Custom scripts, Zapier chains, and manual data entry hold it all together — until they don't.
Exceptions Kill Automation
Rule-based automations handle the happy path. The moment something unexpected happens — a missing field, an edge case, a system timeout — it falls to a human.
No Visibility
Automated processes run in the dark. When something fails, you find out from the downstream consequences, not from the system that failed.
From Trigger to Completion
Scheduled Trigger
Cron: every day at 9:00 AM
Query Database
SELECT orders with pending fulfillment
Fan-Out
Each order emits a separate event → parallel processing
AI Analysis
Check inventory, validate shipping, detect anomalies
Execute Actions
Update records, send Slack/email notifications
Report
Daily summary with stats and exceptions
Scheduled Execution
Cron-based scheduled actions run at any interval. Fan-out support processes array results as independent events.
Database Integration
Read-only SQL queries against PostgreSQL or MySQL. Schema introspection lets AI understand your data model. Up to 500 rows per query.
API Webhooks
Receive external events from any system. Configurable allowed events and actions for security.
Cross-Agent Delegation
Complex processes span multiple agents. A logistics agent delegates billing questions to the finance agent.
Exception Handling with AI
Unlike rule-based automation, AI agents understand context. Missing field? They know whether to use a default, ask for input, or escalate.
Full Observability
Every action logged with parameters, result, duration, and cost. Event logs, workflow stats, and token consumption tracked.
Example: Daily Order Reconciliation
Scheduled trigger fires
Weekdays 8:00 AM — cron: 0 8 * * 1-5
Database query executes
SELECT orders pending > 48h: returns 23 orders
Fan-out processing
23 orders → 23 independent agent tasks
Per-order analysis
Agent checks shipment status via Shipmatic API for each order
18 orders shipped
Database updated with tracking numbers
5 orders blocked
Slack alert to logistics team + escalation created
Daily report sent
Email to ops team: 23 checked, 18 OK, 5 exceptions
Eliminated
Manual data reconciliation — runs automatically every day
Minutes
Exception detection time — down from days
At the source
Cross-system sync errors caught before downstream impact
Automate Your Internal Operations
Connect your systems with AI agents that handle exceptions intelligently.
