Meet your enterprise
AI assistant
Intelligent task automation that takes time-consuming, manual work off your hands. Chat with assistants with an understanding of your specific context and goals. Choose Claude, GPT, or Gemini LLMs.
Built for enterprise depth
Assistants are trained on your internal knowledge bases, documents, and workflows, not general internet data.
Governed at every layer
RBAC, audit trails, PII redaction, and approval workflows are built in before a single assistant goes live.
Wired into your stack
Connects to your CRMs, ERPs, data warehouses, and internal APIs without rebuilding existing workflows.
See it in action
Your assistants. Your data. Live.
Each assistant knows your clients, understands your policies, and works entirely inside your cloud.
What's the latest activity on the Nimbus Corp deal?
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Nimbus Corp just submitted an RFP for the $82k enterprise package. They need a formal proposal by Friday.
Tools used: CRMTool, ActivityTool
Pull up the RFP details.
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Here are the key details from the RFP:
Tools used: CRMTool, DocumentTool
Generate a proposal based on this RFP.
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Proposal generated and ready for review.
Tools used: ProposalTool, CRMTool
AI can make mistakes. Please double-check responses.
Show me our weekly support ticket report.
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Here's your weekly snapshot. 142 tickets resolved (up 18% from last week). 23 still pending, 8 escalated.
Tools used: TicketTool, AnalyticsTool
Drill into the escalated tickets.
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The most critical escalation is TKT-4892, reported 3 hours ago. SLA breach in under 2 hours.
Tools used: TicketTool, SLATool
Draft a customer response for that one.
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Response drafted. Acknowledges the issue, outlines the fix timeline, and offers a temporary rate limit increase.
Tools used: TemplateTool, TicketTool
AI can make mistakes. Please double-check responses.
How did the product launch email perform?
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Strong results. 12,400 delivered, 4,216 opens (34%), 891 clicks (7.2%). Above industry average on all three.
Tools used: CampaignTool, AnalyticsTool
Draft a follow-up for non-openers.
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Here's a re-engagement email targeting the 8,184 non-openers. New subject line and shorter copy.
You missed this: your team's new superpower
We shipped something your team will want to see. Two minutes, one demo, zero commitment.
Watch the demoTools used: BrandVoiceTool, SegmentTool
Schedule it for Tuesday at 9am EST.
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Scheduled and ready to go.
Tools used: CampaignTool, SchedulerTool
AI can make mistakes. Please double-check responses.
Summarize yesterday's product sync.
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45-minute sync with 6 attendees. 3 key decisions and 4 action items assigned.
Tools used: TranscriptTool, SummaryTool
Who has overdue action items from last week?
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2 team members have items past their deadline:
| Owner | Item | Due |
|---|---|---|
| Priya S. | Ship checkout bug fix | Apr 25 |
| Alex K. | Draft customer migration note | Apr 27 |
Tools used: ActionTool, CalendarTool
Send them follow-up reminders.
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Reminders sent with updated deadlines and context from the original meeting.
Tools used: SlackTool, ActionTool
AI can make mistakes. Please double-check responses.
How's the backend engineer pipeline looking?
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47 applicants total with strong progression. Here's the funnel breakdown:
Tools used: ATSTool, PipelineTool
Who's the top candidate?
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Sarah Chen scored highest across all criteria. Strong systems background with relevant scale experience.
Tools used: ATSTool, ScorecardTool
Schedule her final round with the CTO.
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Found a slot that works for both. Calendar invites and prep docs are on the way.
Tools used: CalendarTool, ATSTool
AI can make mistakes. Please double-check responses.
Show Q3 revenue breakdown by region.
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Total Q3 revenue hit $14.2M, up 18% from Q2. North America leads at 52% of total.
Tools used: SQLTool, ChartTool
Compare that to Q2.
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Q3 outpaced Q2 by 18% overall. APAC posted the strongest growth at 32%.
| Region | Q2 | Q3 | Change |
|---|---|---|---|
| NA | $6.3M | $7.4M | +17% |
| EMEA | $2.7M | $3.1M | +15% |
| APAC | $1.5M | $2.0M | +32% |
| LATAM | $1.5M | $1.7M | +13% |
Tools used: SQLTool, CompareTool
Package this into a board deck.
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Board deck generated with charts, regional breakdown, and QoQ trends.
Tools used: ReportTool, ChartTool, ExportTool
AI can make mistakes. Please double-check responses.
Review the CloudSync vendor agreement.
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18-page master services agreement. Here's the summary:
Tools used: DocumentTool, RAGTool
Flag the risky clauses.
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3 clauses need attention before signing:
- Section 14.2 — Unlimited liability for data breaches, no cap
- Section 8.5 — Non-compete extends 24 months post-termination
- Section 22.1 — IP assignment covers derivative works broadly
Tools used: ClauseAnalyzerTool, PolicyTool
Draft a redline with our standard terms.
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Redline complete. 6 edits applied using our standard playbook. Ready for counsel review.
Tools used: RedlineTool, PolicyTool
AI can make mistakes. Please double-check responses.
What are the open P0 bugs this sprint?
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3 open P0 bugs this sprint. The auth timeout is the most impactful, affecting 12% of login attempts.
Tools used: JiraTool, CodeSearchTool
Show me the auth timeout stack trace.
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The token refresh races with the session check. Here's the trace from the auth service:
Tools used: LogTool, CodeSearchTool
Generate a fix and open a PR.
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Added a mutex lock on the refresh call and bumped the timeout to 5s. PR is up for review.
Tools used: CodeGenTool, GitTool
AI can make mistakes. Please double-check responses.
VPC-native deployment
Describe the outcome.
Step away.
Come back to completed work.
Ejento assistants work entirely within your cloud. Your data never leaves your VPC. Grant access only to what you want, approve every step, and retain a complete audit trail.
How it worksNo data egress
All inference runs inside your AWS, Azure, or GCP account
Full audit trail
Every query, response, and action logged with user identity and timestamp
Granular access controls
RBAC scoped per assistant, per team, per document
Approval workflows
Human-in-the-loop gates for sensitive operations
SOC 2 Type II ready
Compliance documentation generated before go-live
The stakes
There's never been a more consequential time to get AI right.
The infrastructure you build today determines what your teams can do, and what your data is exposed to, for years.