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.
Works best with Enjo Inbox. Also deploys alongside your existing help desk.
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
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
Many workflows can be authored and maintained by ops teams in natural language. Engineers typically support sensitive integrations and governance where needed.
AI handles the conversation, while deterministic workflow logic governs steps, branching, permissions, and escalation, so outcomes are consistent and reviewable.
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 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.
Autonomous support,
under your control.
