AI Support Agent

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.

No credit card · Unlimited human agents · Live the same day
Enjo for Jira Service Management

Production AI support, live on your Jira in days.

Enjo resolves employee requests directly in Slack and Teams, assists your agents inside the JSM issue view, and escalates as native Jira issues with the full conversation attached. Jira stays your system of record.

No migration  ·  Native issue escalation  ·  Live in days

Your helpdesk's built-in AI hits a ceiling.

Built-in AI works inside one system and stops there. Enjo works across your entire stack, and Jira Service Management stays your system of record.

It reads only its own knowledge base

Your answers also live in Confluence, SharePoint, Drive, and past issues. Enjo indexes every source into one layer.

It acts only inside one platform

Resolution often needs Okta, a billing system, or an approval. Enjo acts across every connected system, with a full audit trail.

It locks your AI investment to one vendor

With Enjo, your knowledge, flows, and training stay portable. If you ever switch helpdesks, nothing breaks.

What Enjo does inside Jira Service Management.

One agent, one knowledge layer, three surfaces: customer and employee channels, your agents' issue view, and a self-serve Help Center.

AI Agent in JSM
Trained on your Confluence and past Jira issues
Works in Slack and Teams, where employees already ask
Multi-step logic with fallbacks and guardrails
Connects in minutes via OAuth, no code required
Agent Assist in the issue view
Instant summaries with full conversation context
Reply suggestions grounded in approved knowledge
Refinement: tone, length, and translation
Real-time sentiment on live conversations
AI-native Help Center
Self-improving: resolved conversations draft new articles
Multi-brand, multilingual, custom domain
AI Command Center for bulk content operations
Clean handoff to the agent or a human
Clean escalation back to Jira Service Management
Creates a standard native Jira Service Management issue
Full transcript and AI reasoning attached
Flows into your existing queues, SLAs, and routing
Nothing changes for your human agents
Guardrails on every interaction
Every response grounded in approved knowledge, with a citation
Topic boundaries and approval thresholds you define
Every action logged in a full audit trail
Test and evaluate before you go live
Insights your leadership will read
Resolution rate, AI vs human, by topic
Deflection, time saved, and cost per request
Knowledge gaps surfaced automatically
Dashboards you can share upward

Six situations we hear most.

Find yours, and the path that fits.

Employees ask in Teams and Slack, not the portal

Enjo resolves in Slack and Teams, and every request is captured as a Jira issue automatically.

Your knowledge is already in Confluence

Enjo grounds on the Confluence you maintain today, plus past issues, with a citation on every answer.

The virtual agent routes everything back to humans

Enjo completes the request: access grants, approvals, and resets, and escalates only real exceptions.

You run dozens of service desks across regions

One agent per desk on one platform. Delivery Hero runs 30+ Jira service desks this way.

Approvals stall in email

Approvals land in Slack with one click, reminders until they clear, and a record on the issue.

You want ITSM automation without a quarter of setup

OAuth in minutes, knowledge synced in about a day, first workflow live within a week.

Grounded in every document your team actually uses.

One index across all of it, with a citation on every answer. What the AI says is what your agents see.

Atlassian sources

Confluence pages and spaces
Past Jira issues and comments
JSM request types and fields

Everything else your team has

Confluence
SharePoint
Google Drive
Notion
Guru
Uploaded files
Your website
Past tickets and conversations
How Enjo works

Live in days.

No consulting partner required. Your team keeps working in Jira Service Management the whole time.

01

Connect
OAuth connection to Jira Service Management in minutes. No code, no engineering project.

02

Ingest
Knowledge sync in about a day: atlassian sources plus Confluence, SharePoint, Drive, and your website.

03

Configure
Set guardrails, escalation rules, and flows. Test and evaluate on real issues before anything goes live.

04

Go live
First workflow in production within a week for standard deployments. Expand topic by topic from there.
Customer stories

Published results from named customers.

30%

average deflection after rollout
95,000+ employees

100%

of requests auto-ticketed in Jira
1,700+ employees

450 hrs

saved monthly on approval workflows
1,000+ employees

How Enjo and Atlassian Intelligence fit together.

Intelligence fit together.
Not a rip-and-replace question. Pick by where your knowledge lives, where requests arrive, and what resolution has to touch.

Dimension
Atlassian Intelligence
Enjo
Knowledge it reads
Jira Service Management knowledge and data
Every source: Jira Service Management plus Confluence, SharePoint, Drive, Notion, past issues, your website
Where it resolves
Inside Jira Service Management surfaces
Slack, Teams, web chat, Help Center, and inside Jira Service Management
Actions it takes
Jira Service Management objects and flows
Cross-system: Jira Service Management, Okta, identity, billing, and any connected system
Escalation
Within Jira Service Management
Native issue with full transcript and AI reasoning attached
Portability
Tied to Jira Service Management
Knowledge, flows, and training persist regardless of helpdesk
When Atlassian Intelligence is the right choice

Your knowledge and workflows live entirely in Atlassian tools and you want AI features from the same vendor, inside JSM surfaces.

When Enjo is the right choice

Employees ask in Slack and Teams, your answers span Confluence and beyond, and resolution needs actions in Okta, Google Workspace, and other systems.

When both make sense

Keep Atlassian Intelligence for in-JSM features while Enjo carries chat-native resolution and files every request as a native Jira issue.

Success Stories

Real-world customer stories

1M+

requests handled by AI

Live in a single day. 2M+ documents unified into one knowledge source, cutting information retrieval time by over 80%.

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63%

autonomous resolution

45% faster resolution and a 60% satisfaction improvement, with Enjo handling frontline requests at a 2,500-person company.

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450 hrs

saved every month
Approval workflows automated end to end, response times down from days to minutes, and 80% of people now self-serving.
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Desk Assessment

Not sure where to start?

Upload your ticket history. Desk Assessment analyzes your Jira Service Management data and shows exactly where AI will have the most impact: top topics, volume, and projected savings. Know your automation opportunity before you commit.

Jira Service Management stays. Your options stay open.

Adopting Enjo is not a commitment to replace anything, now or later.

No migration, ever

Jira Service Management remains your system of record. Enjo adds resolution on top, and there is no expectation that you move.

Nothing changes for your agents

Escalations arrive as native issues in the queues, SLAs, and routing rules your team already runs.

Your investment stays portable

Knowledge, flows, and training live in Enjo's layer. If your stack changes someday, they come with you.

Security and governance

Autonomous support,
under your control.

SOC 2 Type II and ISO 27001 certified, GDPR compliant
TLS 1.2+ in transit, AES-256 at rest, keys via AWS KMS
Guardrails on inputs and outputs, plus full audit logs
Regular scans, penetration tests, tested backups, incident response plan
99.9% uptime over 7 years, at enterprise scale
600+ enterprise deployments. Founded 2019, profitable since inception.

Frequently asked questions

If you have further questions, simply request a demo from our team, and we'll respond promptly.
Book a Demo
Do we have to replace Jira Service Management?

No. Enjo extends Jira Service Management. Your investment, workflows, and agent experience stay exactly as they are, and Jira Service Management remains your system of record. Enjo adds AI resolution on top.

Do we need to build a data lake first?

No. Enjo indexes knowledge directly from your sources: your helpdesk knowledge and history, Confluence, SharePoint, Drive, Notion, and your website. No data lake required.

How long until this is in production?

The OAuth connection takes minutes. Knowledge sync takes about a day. A first workflow is in production within a week for standard deployments, with no consulting partner required.

What happens when Enjo can't resolve a request?

It creates a standard native Jira Service Management issue carrying the full conversation transcript and Enjo's reasoning, and the issue flows into your existing queues, SLAs, and routing rules. Nothing changes for your human agents.

What does it cost?

Free is $0 with 200 AI replies a month, unlimited human agent seats, and no credit card. Paid plans start at $95 a month. Pricing is per AI reply, never per seat and never per resolution.

Will this pass our security review?

Enjo is SOC 2 Type II and ISO 27001 certified and GDPR compliant. Data is encrypted in transit and at rest, and is never used to train external models.