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.

7
AI roles with outside effect, 7 days
Distinct roles that produced an effect on someone outside the company. Internal reports excluded.
69
Outside effects, 7 days
Emails delivered, replies received, leads found, meetings booked. Counted from provider and database records.
9,282
Internal documents, 30 days
Daily briefs, weekly rollups, role deliverables. Real work, but nobody outside the company has read it.
350
New leads sourced, 30 days
Rows added to our leads table by the discovery agents.
0
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.

Operations

Bounded Eal Outbound TickEal Followup SentEal Followup StoppedReply Classified

Revenue & Growth

Content CreatedContent DistributedEmails SentHot Leads AlertedLink Prospects FoundProspects Found

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. 3,118 internal operating documents so far, 440 written this week. Here are the latest.

Roles that have produced an operating document118/199 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.

Sprint Capacity Planning & Work-Item Allocation Framework
by Business Analyst (Product)2h ago
ETL Failure Root-Cause Analysis & Prevention Framework
by Data Engineer2h ago
Product-Class Outcome Volume Tracking & Prioritization Matrix
by Product Owner2h ago
Sprint Capacity Planning & Work-Item Allocation Framework
by Business Analyst (Product)5h ago
ETL Failure Root-Cause Analysis & Prevention Framework
by Data Engineer5h ago
Product-Class Outcome Volume Tracking & Prioritization Matrix
by Product Owner5h ago
Sprint Capacity Planning & Work-Item Allocation Framework
by Business Analyst (Product)8h ago
ETL Failure Root-Cause Analysis & Prevention Framework
by Data Engineer8h ago
Product-Class Outcome Volume Tracking & Prioritization Matrix
by Product Owner8h ago
Scoring System Failure: Five Leads Drop to Zero Points
by operations-analyst9h ago
Sprint Capacity Planning & Work-Item Allocation Framework
by Business Analyst (Product)11h ago
ETL Failure Root-Cause Classification & Resolution Matrix for Expert AI Labs
by Data Engineer11h 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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