AI operations for small teams

Deploy a fleet of specialized AI agents that learns from your business—and helps run it.

MatrixShift connects to your systems, learns from reviewed business context, and keeps your team in control of what matters.

See how it works
Worked example

From request to completed work

One thread, re-created from our working prototype: a colleague asks, the agent works in the open — and nothing external happens until you click Approve.

Channel · Slack

#ap-invoices

Listening
The problem

Small teams can access powerful AI — and still struggle to put it to work across the business.

Company context is scattered across documents, conversations, business systems, SOPs, and team knowledge. Teams rebuild context for each task, use AI for isolated pieces of work, and never accumulate shared operational memory.

The loop

How it works

01

Connect

Connect the systems your business already runs on — with permissions you grant tool by tool.

02

Describe

Describe the work in plain language: goals, guardrails, and who approves what.

03

Deploy

Deploy specialized agents from templates — each passes a readiness check with a human gate before it goes live.

04

Approve

Approve consequential actions before they happen. Nothing external moves without a person.

05

Learn

Reviewed decisions and corrections become shared operational memory — and every change to how your agents work is approved and reversible.

Governance

Your team stays in control

  • Approval comes first. Before anything external happens — sending, posting, publishing, destructive writes — the action waits for a person.
  • Review comes after. Finished work comes back as decisions — accept them, or request changes.
  • Everything leaves a trace. Every run keeps a decision-level record — Changed, Skipped, Drafted — each entry carrying its evidence.
Decision trace
Weekly statement run
Awaiting review
Changed12 invoices matched to POsevidence
SkippedINV-2318, no PO on fileevidence
DraftedPO request to Meridianevidence

From the prototype — a decision trace as your team sees it.

Where we sit

Between your team and the tools you already use

Your team

People set goals, grant permissions, and stay the approvers of record.

A fleet of specialized agents

Each with its own context, knowledge, and permissions — coordinating around shared objectives.

The tools you already use

Work happens inside your existing systems — not in yet another inbox.

Be first in line.