Introducing AI Employees

AI Employees You Can Trust.
And Rely On.

Deploy autonomous AI workers that operate across your company systems with real identity, governance, and accountability. Like remote hires, not copilots.

Book a ConsultationSee How It Works

The AI Tool Problem

Copilots

Locked to one app. No persistence, no cross-system context. Every session starts from zero.

Automations

Rigid scripts that break when things change. No judgment, no adaptation, no learning.

Disconnected AI Tools

Fragmented outputs across siloed tools. No accountability, no audit trail, no single owner.

“The market does not need more AI outputs. It needs accountable AI outcomes.”

Not a Tool. An Employee.

Shift from configuring software to managing capable team members.

Configure a toolHire an employee
Write promptsAssign work
Review outputsApprove deliverables
No memoryPersistent organizational memory
No accountabilityFull audit trail, named identity

Same access matrix. Same approval flow. Same audit trail. New kind of employee.

One System. Two Layers.

One system that gives business the capability and IT the control.

Capability Layer

  • Continuous runtime — always on
  • Persistent memory across sessions
  • Cross-system integration
  • Adaptive execution & decision-making
  • Learns and improves over time
  • Multi-tool orchestration

Trust Layer

  • Named identity per AI employee
  • Role-based access control (RBAC)
  • Policy enforcement & guardrails
  • Comprehensive audit logging
  • Anomaly detection & alerts
  • Compliance-ready from day one

How AI Employees Compare

Copilots
  • Cross-system context
  • Persistent memory
  • Named identity & RBAC
  • Full audit trail
  • ~Adaptive judgment (Limited)
  • Continuous runtime
Automations
  • Cross-system context
  • Persistent memory
  • Named identity & RBAC
  • ~Full audit trail (Partial)
  • Adaptive judgment
  • Continuous runtime
AI Employees
  • Cross-system context
  • Persistent memory
  • Named identity & RBAC
  • Full audit trail
  • Adaptive judgment
  • Continuous runtime

Your First AI Employees

Operations Coordinator

Manages workflows, tracks deliverables, and keeps cross-functional projects on schedule.

SlackJiraNotionGoogle Sheets

Research Analyst

Gathers market intelligence, synthesises reports, and surfaces insights on demand.

WebGoogle DocsNotionEmail

Executive Assistant

Handles scheduling, meeting prep, follow-ups, and communication triage.

CalendarEmailSlackDocs

Marketing Ops

Monitors campaigns, drafts content, analyses performance, and flags anomalies.

GA4SlackGoogle DocsAds

Customer Ops

Triages support tickets, drafts responses, escalates edge cases, and tracks resolution.

ZendeskSlackCRMEmail

Onboard in Days, Not Months

We don't replace your stack — we onboard into it.

1
Day 1
Scoping
Define roles, map systems, set access boundaries.
2
Day 2-3
Setup
IT provisions identity, loads docs, configures guardrails.
3
Day 4
Go-Live
First AI employee starts supervised, real work.
4
Day 5+
Tuning
Expand access, optimise workflows, measure ROI.
Start Your Deployment

A Day in the Life

See how a Marketing Ops AI Employee works alongside your team.

Your Marketing Ops AI Employee
09:00Checks Slack for new tasks, picks up competitive analysis request.
09:15Researches competitor landing pages, captures key messaging themes.
10:00Drafts comparison report in Google Docs, flags for team review.
10:30Monitors GA dashboard, alerts team to unexpected traffic anomaly.
14:00Revises report based on feedback, distributes to stakeholders.
16:00Summarises day’s work in standup thread, logs all actions.

Ready to Hire Your First AI Employee?

Tell us about your team, your systems, and the roles you want to fill. We'll scope a pilot and get your first AI employee working in days.

Which roles are you interested in?