Workflow automation you can read, test and roll back
Automate follow-ups, onboarding, triage and back-office steps with workflows that survive duplicates, restarts and outages, and ask a person before anything risky happens.
Run details
Illustrative interface with sample data.
Automation fails quietly, so design for failure
Most automation problems are not dramatic. A message is delivered twice. A step fails and nobody notices. A worker restarts halfway through. A change goes live without anyone reviewing it.
EAIBAP workflows are designed around those realities. Messages are delivered at least once, so every step is idempotent. Published workflows are immutable, and new runs bind to a specific version. Failures are classified, retried with backoff, and sent to a dead-letter queue where an operator can replay them with an audit trail.
Capabilities
Triggers
Start from events, schedules, webhooks, manual actions or approved AI triggers.
Steps and logic
Typed steps, conditions, branching, timers, safe parallel branches, sub-workflows and clear terminal outcomes.
Validation before publish
Catch missing inputs, invalid edges, unreachable steps, unbounded loops and unsafe actions before anything goes live.
Human approvals
Require approval for payments, sensitive exports, external commitments and regulated actions, with timeouts and escalation.
Retries and replay
Exponential backoff with jitter for transient errors, dead-letter handling and controlled replay.
Operator controls
Pause, cancel and stop runaway workflows with defined semantics for in-flight actions.
Declarative, not arbitrary code
Workflows are versioned definitions, not scripts. That keeps them reviewable, testable and safe: user-supplied code is never executed inside the core worker, and every action goes through the same permission and policy checks as manual work.
- Dry-run mode with synthetic data and simulated external actions
- Max runtime, step count and recursion limits per run
- Redacted inputs and outputs in run history
Recent events
Illustrative interface with sample data.
Example workflows
| Workflow | What it does |
|---|---|
| New lead follow-up | Validate, de-duplicate, qualify, assign, start SLA timer, send first response after a consent check |
| Renewal reminder | Read renewal date from the policy system, remind by the customer’s preferred channel, escalate if unanswered |
| Collections promise-to-pay | Record the customer’s promise, schedule a check against the payment system, route disputes to a person |
| Support triage | Classify the request, retrieve approved answers, hand off to a queue with context |
| Onboarding | Create tasks, request documents, send reminders, notify owners when steps stall |
Frequently asked questions
What happens if a step fails halfway?
The failure is classified, retried with backoff when it is transient, and moved to a dead-letter queue if it keeps failing. Operators can inspect and replay it, and the history shows every attempt.
Can we change a workflow while it is running?
Published workflows are immutable. You publish a new version; new runs use it, and in-flight runs continue on the version they started with.
Can workflows call external systems?
Yes, through connectors and signed webhooks. Outbound destinations must be on an approved allowlist, and non-idempotent actions are protected with deduplication.
Do workflows need developers?
Common workflows are built visually. Connectors for new systems may need configuration or development, and are not considered supported until tested.
See it handle a real workflow.
Book a 30-minute walkthrough tailored to your industry and your systems.