Resolve customer issues
faster with AI Flows

AI Flow is Enjo’s workflow engine inside AI Agent. Write procedures in plain English, connect the systems you rely on,and let the Agent execute multi-step resolutions with reliable, reviewable outcomes.

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Works best with Enjo Inbox. Also deploys alongside your existing help desk.

Trusted by startups and established enterprises

Q&A doesn’t resolve tickets. Procedures do

Most “repetitive” requests aren’t just questions, they’re operational processes: verify identity, collect fields, check systems, apply policy, take action, and confirm results. AI Flow combines AI reasoning with deterministic logic so resolutions are fast, consistent, and predictable.

  • Execute real multi-step workflows end-to-end (not just responses)
  • Reduce back-and-forth by collecting required info upfront
  • Standardize resolutions to match your SOPs and policies
  • Expand safely over time with scoped deployment and clear escalation paths

A workflow engine built for real operations

AI Flow turns your SOPs into executable workflows that can read live data, take actions in connected systems, and adapt to real conversations, including clarifications, interruptions, and intent changes, without losing control or transparency.

AI reasoning handles the conversation. Deterministic logic keeps outcomes predictable.

Author like an SOP. Execute like a system

Write workflows in natural language
  • Define steps, decision rules, required inputs, and outcomes in plain English
  • Get AI assistance to draft and refine flows from outlines, docs, and past conversations
Connect data and actions
  • Read from internal and third-party systems
  • Trigger updates, create records, route requests, and kick off downstream processes
Run in real conversations
  • Ask for missing details, confirm intent, and handle changes mid-thread
  • Continue the workflow without restarting or losing context
Review every step
  • See execution steps and decision paths for trust, debugging, and review
  • Understand what happened, why it happened, and what to improve

Core Capabilities

Procedure-grade workflows

Multi-step resolution with clear branching and conditions

Natural-language maintenance

Update flows as policies change, without replatforming work

Transparency by default

Step-by-step traces and decision paths you can review and audit

Simulation and testing

Built-in simulation, regression checks, and continuously improving test coverage

Controlled escalation

Hand off to humans when needed, with a structured summary and context

Enterprise-ready foundations

Security, privacy, and observability built in by default

Start with high-volume, repeatable resolutions

Status checks with verification steps and data lookups
Returns/refunds intake with policy-driven routing
Subscription changes/cancellations with required confirmations
Account access requests with identity checks and escalation rules
Billing requests like invoices, payment updates, and exceptions handling
Troubleshooting intake and triage (collect details → classify → route → confirm next step)

Fast iteration without losing control

Non-technical teams can iterate quickly in natural language. Engineers retain control over sensitive logic and integrations. Add approvals where needed, keep workflows reviewable, and evolve safely as automation expands.

Get to a first successful workflow fast

Turn an SOP into an AI Flow

Start from a simple outline or a proven template, then refine with AI assistance.

Validate behavior before it goes live

Run through realistic scenarios and edge cases with built-in simulation and tests.

Ship with guardrails and a scoped rollout

Deploy to the channel, queue, or request type you choose-then expand as confidence grows.

Frequently asked questions

If you have further questions, simply request a demo from our team, and we'll respond promptly.
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Do we need engineers to build AI Flows?

Many workflows can be authored and maintained by ops teams in natural language. Engineers typically support sensitive integrations and governance where needed.

How does AI Flow stay predictable?

AI handles the conversation, while deterministic workflow logic governs steps, branching, permissions, and escalation, so outcomes are consistent and reviewable.

What systems can AI Flow connect to?

AI Flow integrates with internal and third-party systems to read live data, take actions, and trigger downstream processes (within your configured permissions and controls).

When does it escalate to a human?

When conditions aren’t met, permissions don’t allow an action, or the request falls outside your workflow boundaries-AI Flow escalates with full context for fast completion.

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Security & AI governance, trusted by top enterprises

Enjo keeps your data protected while enabling safe automation, without losing control.Trusted by 100s of enterprises, including Snap, Wayfair, Delivery Hero, Cubic, Aptean, and Rakuten.
  • SOC 2 Type II + ISO 27001 compliant; GDPR compliant
  • TLS 1.2+ in transit, AES-256 at rest, keys via AWS KMS
  • AI Guardrails for inputs/outputs + full audit logs
  • Regular scans + pen tests (NDA), tested backups + IR plan
  • 99.9% uptime for 6 years, proven at enterprise scale