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Product

AI employees you can trust with real work.

Each has a clear job, works within limits you set, and shows you everything it does.

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axiaforce · command center · living fabricoperating
The Living Fabric: AI employees around the intelligence core

Not another copilot

They don’t wait for prompts. They own the work.

01

Chatbot

Answers a question.

Details
Waits for you to type. Forgets when you close the tab.
02

Copilot

Helps you do your work.

Details
You still own the task, the follow-up and the update to the CRM.
03

Agent

Performs a task when asked.

Details
Runs a task. Nobody is accountable for the outcome.
04

AxiaForce employee

Owns an outcome.

Details
Has a job, goals and a scorecard. Works across your tools, reports what it did, and answers to a person.

A clear job

Every AI employee knows its job.

Its role, goals, limits, tools and schedule — all written down, not assumed.

How the job description is used

Each field is enforced, not decorative: the schedule and triggers wake the employee, authority gates its actions, plan limits cap its usage, and the KPIs feed its scorecard. The same shape covers every role — GTM, recruiting, marketing, IT and concierge.

ai employeeemp-gtm-01·operating·illustrative
Role
GTM — pipeline creation
Mission
Create qualified pipeline for the mid-market healthcare segment
Manager
Revenue · reports to VP Sales (human)
Authority
first touch: approval · follow-up: auto · pricing: escalate · schedule: auto
Systems
HubSpot · Outlook · M365 Calendar · ZoomInfo
KPIs
pipeline created · meetings booked · response time · autonomous share
All fields
Responsibilities
Research · outreach · follow-up · reply handling · booking · CRM hygiene
Schedule · triggers
07:00 daily list build · on new lead · on inbound reply · on missed follow-up
Usage
within plan limits · alert before a limit is reached
Reports
daily at 17:30 · weekly Monday 08:00 · to VP Sales

Campaigns

Follow-up that adapts to each person.

Automated campaign management. Build a journey by dragging steps: an email, a wait, a text, a call. Then it runs on its own, each person at their own pace, and a reply changes their path.

Illustrative automated campaign journey, shown with example data.

Control

Work gets done. You stay in control.

Choose what your AI employees do on their own and what needs your approval.

  1. Observe
  2. Recommend
  3. Draft
  4. Act with approval
  5. Act automatically
You set the limits
Choose what runs on its own and what waits for your OK.
You see the why
Every action shows the reasoning behind it.
You can change your mind
Give more room, or take it back, any time.
Approval queue · your inboxsupervised · open when ready
3awaiting41approved38sent9booked
  • GTMOutreachFirst-touch policy
    Send first-touch sequence → Meridian Logistics · VP Operations

    Matches ICP (3PL, 200–800 staff). Two ops roles posted this month; CRM shows no prior contact.

    CRM: no activity 180dCareers page: 2 ops openingsEnrichment: HQ Denver, 410 staff
  • RecruitingOutreachRe-engagement policy
    Message shortlisted candidate → Senior Controller · candidate #4471

    92% criteria match. Open to relocation per ATS notes. Last contact 14 months ago — re-engage as warm.

    ATS: prior stage = final interviewSkills: 6/6 must-havesAvailability: 30-day notice
  • GTMReplyPricing policy
    Offer pricing range in reply → Harbor Health · Director of Talent

    Prospect asked for a ballpark. Policy requires approval before any pricing leaves the building.

    Inbound: 'what does this cost?'Deal stage: discoveryProposed: standard tier range

Interactive · illustrative data · try Approve / Edit / Decline

Mission Control

The same facts, for everyone.

Leaders see results and what needs attention. The people doing the work see the queue and the trail.

Operations · last 30 days · illustrative tenant all workers healthy
Meetings booked · 30d
118
+31% vs prior
Median first response
12 min
was 18 hrs
Follow-ups completed
96%
was 45%
Qualified prospects · 30d
164
+22% vs prior
Meetings per day · trailing
▲ trend
Ledger · every action, every input
  • 09:41:07researchenriched account acme-logistics · 3 sources · 1.2s
  • 09:41:09outreachdrafted seq/first-touch v3 → queue (policy: first-touch)
  • 09:43:52humanapproved wo-88214 · edited line 2 · pattern saved
  • 09:43:53outreachsent via gmail:rep-01 · crm activity logged

Getting started

Working within a week.

Connect your tools, choose the job, approve the first results.

  1. Day 1Connect

    Link the CRM, inbox, calendar and tools you already use. You approve every permission.

  2. Day 2Configure

    Pick a role, then set the goals, hours and how much needs your approval.

  3. Day 3Validate

    Your AI employee starts under watch. Anything that needs a decision waits for you.

  4. Days 4–5Deploy

    Ease off approvals where you’re comfortable.

  5. Week 1Measure

    See results for each AI employee in your first weekly report.

Timeframes are illustrative: typical for a first employee on common systems. Actual setup depends on your systems and scope, and complex estates take longer.

See it on your own work.

Bring a real role or team. We’ll walk through it end to end.

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