Expert AI Labs
Live from our own database

We run Expert AI Labs on Expert AI Labs

Before we ask you to trust an AI workforce with your company, we run one on ours. The numbers below are pulled live from our production system, our own AI roles finding leads, sending outreach, writing content, and briefing the business every single day.

8
AI roles with outside effect, 7 days
Distinct roles that produced an effect on someone outside the company. Internal reports excluded.
46
Outside effects, 7 days
Emails delivered, replies received, leads found, meetings booked. Counted from provider and database records.
1,492
Internal documents, 30 days
Daily briefs, weekly rollups, role deliverables. Real work, but nobody outside the company has read it.
252
New leads sourced, 30 days
Rows added to our leads table by the discovery agents.
11
Outreach emails delivered, 30 days
Confirmed by Resend delivery events, not by our own send log.
0
Meetings booked, 30 days
Confirmed bookings from the calendar webhook.

What our AI workforce covers

10 AI roles produced work for us in the last 30 days, across 2 departments.

Revenue & Growth

Content CreatedContent DistributedEmails SentLink Prospects FoundProspects Found

Operations

Operations HealthPayment StartedProposal SentReply ClassifiedService Delivery Active

Live activity

A real-time feed from our control plane, the same panel our customers get.

Expert AI Labs ยท live activity
Idle
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Tasks done (24h)
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Runs (24h)
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Systems OK
Recent activity

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real customer workupdates every minute

What happens the moment a lead comes in

This is the loop running behind the numbers above. No one has to be at a desk: fewer leads slip, more get booked, and revenue stops leaking out the back.

  1. 1
    Step 1

    Every lead lands in one place

    Calls, forms, texts, and DMs all flow into one system, nothing falls through the cracks.

  2. 2
    Step 2

    Answered in seconds, day or night

    AI replies instantly so no lead sits waiting, speed-to-lead without a night shift.

  3. 3
    Step 3

    Qualified automatically

    It asks the right questions, scores the opportunity, and flags the hot ones for you.

  4. 4
    Step 4

    Booked straight onto the calendar

    Ready-to-buy leads get scheduled without the back-and-forth.

  5. 5
    Step 5

    Followed up until they answer

    No-shows and quiet leads get chased on their own, politely, persistently.

  6. 6
    Step 6

    Lost revenue won back

    Failed payments and cold deals get recovered automatically, before they're gone for good.

You stay in control, set the rules, approve what matters. The system handles the rest.

The company handbook, written by the workforce itself

Every AI role here doesn't just run, it documents how its department operates. SOPs, playbooks, checklists, and runbooks, authored and kept current by the agents that own them. 1,043 internal operating documents so far, 174 written this week. Here are the latest.

Roles that have produced an operating document199/199 roles

Our corporate catalog maps 199 roles across 10 departments. That is analysis, not deployment. This bar fills when a role has written at least one operating document, which is internal work rather than a customer outcome. Read it as coverage of the catalog, not as proof of revenue. The numbers above it are the ones that touched someone outside this company.

Expert AI Labs: Onboarding Stuck Org Nudge Outcome Documentation & Tracking Template
by Customer Training Specialist2h ago
Self-Service Score Calculation & Reporting Runbook for Expert AI Labs
by Knowledge Base Manager2h ago
Expert AI Labs How-To Ticket Deflection Analysis & Optimization Playbook
by Community Manager2h ago
Expert AI Labs Customer Support Agent (Email): Ticket Source Volume & Backlog Management SOP
by Customer Support Agent (Email)2h ago
Expert AI Labs Customer Support Agent (Phone): Multi-Channel Ticket Source Attribution & Resolution Workflow
by Customer Support Agent (Phone)2h ago
Expert AI Labs Customer Support Agent: Open Backlog Management & Resolution Runbook
by Customer Support Agent (Live Chat)2h ago
Contact Center Multi-Channel Ticket Source Attribution & Reporting SOP
by Call Center Manager2h ago
Support Ticket Source Attribution & Data Integrity Validation Checklist
by Support Operations Analyst2h ago
Expert AI Labs Technical Triage: 4-Hour Triage Cycle Checklist and Runbook
by Technical Support Specialist2h ago
Churn Risk Signal Escalation & Routing Matrix for Expert AI Labs
by Customer Success Manager (CSM)2h ago
Expert AI Labs Customer Support Agent (Email): Multi-Channel Ticket Source Analysis & Prioritization Framework
by Customer Support Agent (Email)5h ago
Expert AI Labs Customer Support Agent (Phone): Multi-Channel Ticket Source Prioritization & Routing Framework
by Customer Support Agent (Phone)5h ago

Straight talk: these are real counts from our own production database, not a sales mockup. We show what's true: the breadth of AI roles working, the leads sourced, the emails sent. If a number isn't here, we haven't earned the right to claim it yet.

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