Your AI support agent resolves first. Your team handles the rest.
Enjo resolves requests end to end, grounded in your knowledge and taking action in your systems. What it can't resolve escalates with full context.
Your requests keep growing. Your team doesn't.
You need AI that resolves real requests, grounded in your knowledge, inside the tools your team already uses.
"How do I configure SSO?" "Where's my invoice?" Your team answers on repeat while complex work waits.
Hiring can't keep pace with request growth. You need resolution that scales with volume, not team size.
AI sounds great until it invents a policy. Enjo answers only from your approved knowledge, and cites the source.
Every request in the queue is someone blocked. To them, speed isn't a metric. It's the whole experience.
Most support tools start with a ticket queue. Enjo starts with the agent.
Legacy platforms were built helpdesk first, with AI added later. Enjo inverts the order, and that changes what the system can do.
The legacy order
01
Configure a helpdesk
02
Route everything to humans
03
Add an AI add-on
04
Pay for both
The Enjo order
01
Configure the agent
02
Enjo resolves end to end
03
Humans handle exceptions
04
The helpdesk is for escalations
Enjo reads and updates your connected systems, so order status, refunds, and access requests close without a human.
Every human response teaches the agent. Nothing extra to configure, no retraining project to staff.
Your team works only the cases that need judgment, and each escalation arrives with the conversation, context, and next steps.
Resolution, proven at enterprise scale.
How teams use Enjo to resolve more, escalate less, and show the return.
63%
1M+
450 hrs
5 wks
Live the same day. Better every week after.
One knowledge layer powers AI resolution, your team's workflows, and customer self-service. Zero drift between them.
01
Connect your knowledge
02
Enjo resolves and takes action
03
Exceptions escalate with full context
04
Measure and expand
The support system built around the agent.
Enjo handles the first line. Inbox is where your team picks up exceptions. Help Center answers what never needs to reach either.
Enjo, the AI Support Agent
Resolves autonomously, grounded in your approved knowledge, taking action in connected systems and escalating when it should.

Inbox
Where your team handles what Enjo escalates, with full context and suggested next steps. AI drafts, summarizes, and translates alongside them.

Help Center
A branded self-serve portal with AI search on the same knowledge layer. Articles generate from your docs and resolved conversations.
A tenth of the cost of leading incumbent platforms.
Not just answers. Actions.
Other AI suggests articles. Enjo completes the work, through multi-step flows you design visually in Studio. No code.

Every answer grounded in your knowledge. Every action on the record.
Enjo answers from the knowledge you configure, with a citation on every response. You set the boundaries and see everything it did.
Answer the question before it becomes a request.
Enjo answers through your Help Center too, so people resolve their own questions without waiting for anyone.

Know your return before leadership asks.
Dashboards you can share upward, covering resolution, effort, satisfaction, and cost.
Resolution Rate
Time Saved
CSAT / ESAT
AI Coverage
Cost Savings
Wherever your requests already arrive.
Enjo is strongest where support concentrates in the channels your people already use.
Customer Service
Resolve customer questions in web chat, Help Center, and shared Slack channels, with account context behind every answer.
Employee and IT Support
Resolve access requests, password resets, and approvals in Slack and Teams, taking action in Okta, Jira, and your other systems.
See how Enjo works
Real-world customer stories
1M+
Live in a single day. 2M+ documents unified into one knowledge source, cutting information retrieval time by over 80%.
63%
45% faster resolution and a 60% satisfaction improvement, with Enjo handling frontline requests at a 2,500-person company.