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Workflow Automation

Automations that think.

Compose branching flows visually. Trigger on any event, act across any tool, and let AI decide the next best step at every node.

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Capabilities

Everything you need, nothing you don't.

Visual builder
Drag, drop, connect. Version, preview, and stage every change.
AI‑driven branches
Let the model decide which path to take at every decision node.
Act on anything
Stripe refunds, Shopify orders, Jira tickets, Slack pages, custom APIs.
Real‑time triggers
Fire on channel events, sentiment shifts, SLA risk, or scheduled cadences.
Composable
Reusable sub‑workflows, shared variables, and organization‑wide templates.
Safe by default
Rate limits, spend caps, approval gates, and rollback in one click.
Interface

Build once. Run forever.

A single automation can replace an entire tier‑1 team — with a clearer audit trail.

Automation: Tier-1 Refunds
Live · 2,431 runs / mo
When ticket received
Any channel
Classify with AI
Intent + sentiment
Search knowledge base
Top 3 articles
Draft reply
Brand voice
Route to owner
Skill-based
Auto-close if resolved
Confidence > 0.85
Why teams love it

Outcomes, not outputs.

01
2,431 runs / mo
Median enterprise workflow throughput after 60 days.
02
$18/ticket saved
Fully‑loaded cost delta on automated resolutions.
03
5m to build
Templates cover the top 40 support workflows out of the box.
04
0 downtime
Blue‑green deploys and instant rollback on every change.
Inside Workflow Automation

Design once, deploy safely, iterate forever.

A visual builder for ops, a typed runtime for engineers, and a governance layer that keeps the whole thing safe in production.

  1. STEP 01
    Trigger on anything

    Ticket events, AI classifications, CRM changes, schedules, webhooks — 200+ triggers ship out of the box.

    • Real‑time + batch
    • Conditional predicates
    • Deduplication built‑in
  2. STEP 02
    Compose in a visual builder

    Drag steps together — API calls, LLM prompts, human approvals, branches, loops. Ops owns it; engineering extends it.

    • Typed inputs / outputs
    • Reusable subflows
    • Version diff & comments
  3. STEP 03
    Simulate against real history

    Dry‑run any workflow across the last 30 days of tickets. See exactly which resolved, escalated, or would have failed.

    • Replay past tickets
    • Cost estimate per run
    • Side‑by‑side diffs
  4. STEP 04
    Deploy blue‑green

    Ship to a percentage of traffic, monitor, and roll out or roll back in one click. No downtime, no surprises.

    • Canary + gradual rollout
    • Instant rollback
    • Per‑workflow feature flags
  5. STEP 05
    Observe & govern

    Every run traced. Every LLM call metered. Budgets, alerts and approval gates keep spend and behavior in bounds.

    • Full trace per run
    • Per‑workflow budgets
    • Required approvals on high‑risk
Workflow diagram
1Trigger2Compose3Simulate4Deploy5Observe
Avg. setup
3 weeks
SLA
99.99%
Regions
12
FAQ

Answers, before you ask.

Do we need engineers to build workflows?+

No — ops owners build in the visual builder. Engineers extend with custom actions when needed.

Can we test before shipping?+

Yes — dry‑run mode replays past tickets through any workflow before you enable it.

Is there a spend limit for AI calls?+

Yes — global and per‑workflow budgets, with alerts and hard caps.

Give your support team an unfair advantage.

Buy 50 credits. Deploy in a day. Measure lift in your first week.

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