Nativs · AI agents for people with better things to do

Right now, someone brilliant on your team is copying numbers between spreadsheets.

We build AI agents that take that work off their desk. The board pack. The pipeline chasing. The Monday report nobody reads until Thursday. Our agents run the whole job on their own when they're sure — and knock on your door when they're not.

Give us the boring work → Meet the 45 agents
01 · Build
The agency

Tell us the job. We build the worker. From £1,000.

02 · Community
The Natives

A room full of people one step ahead of you. £10/mo.

03 · Counsel
The transformation

Rebuilt, not repainted. The plan and the team that ships it.

Reads from Xero BigQuery HubSpot Slack Sheets READ-ONLY
First, a definition

An agent is not a chatbot. A chatbot waits to be talked to. An agent shows up on Monday.

An agent is software with a job description. You're the manager. It does the work.

Every month, one pulls the numbers out of Xero, builds the board deck, and slides it across the desk for sign-off — before you've had your first coffee.

Another watches your HubSpot pipeline the way a border collie watches sheep.

Another drafts the weekly client report while your account manager does something a human is actually good at.

How every agent works

Five steps. Every agent. Every time.

01 · The Nudge
Something starts it

First Monday of the month. A deal going quiet. A report falling due.

02 · The Homework
Reads & works

Reads what it needs — read-only, touches nothing — and does the analysis you keep meaning to get to.

03 · The Draft
Out comes the work

A deck, a doc, an update. With recommendations, not just numbers.

04 · The Gut-Check
Confident? Proceed

Anything unusual, ambiguous or expensive comes to you first. You set the line. Move it any time.

05 · The Doing
Acts, keeps receipts

It acts, then writes down exactly what it did and why — like a contractor who keeps receipts.

↻ then it waits, patiently, for the next nudge
The agent library

45 agents. Every one does a job somebody at your company currently hates.

One chases overdue invoices so your finance lead doesn't have to write that email again. One turns call recordings into clean CRM updates. One builds the QBR deck, one flags the deals going cold, one reads every support ticket so your team reads only the ones that matter. All 44 run the same loop. All 44 start supervised and earn their independence — like any hire worth keeping.

Browse the library →
the agent
engine
Agents that monitor
always watching
Agents that analyse
report on a cadence
Agents that produce
make the work
Agents that coordinate
move work along
45 agents · 8 teams · four kinds · one loop
Driving agentic transformation

We don't drop in software and leave. We put a pod in the room.

Our engineers sit with your domain experts — the people who actually do the work — and build agents against your real systems. That's how AI gets past the pilot and into every function.

One loop, repeated until it ships. Then the pod moves to the next workflow.

1 · Pair
Our engineers meet your domain experts
2 · Understand
Shadow the work, learn the real workflow
3 · Identify
Prioritise the high-impact automations
4 · Build
Agents built against your real systems
5 · Validate
Test with users, measure, iterate fast
6 · Ship
Ship, then move to the next workflow
1
Pair
Our engineers meet your domain experts
2
Understand
Shadow the work, learn the real workflow
3
Identify
Prioritise the high-impact automations
4
Build
Agents built against your real systems
5
Validate
Test with users, measure, iterate fast
6
Ship
Ship, then move to the next workflow
Hours to minutes
Workflows accelerated
Lower operating costs
Efficiency at scale
Faster decisions
Better insights, in real time
More time for what matters
Experts focus on complex judgment
The uncomfortable bit

You can't strap a jet engine to a horse and call it progress.

That's what most companies are doing with AI. A licence here. A pilot there. Eleven tools, zero changed workflows, and a board asking why nothing's different. The companies pulling ahead aren't buying more tools. They're rebuilding one workflow at a time around agents that actually do the work.

The old maths
Headcount

More work, more hires. Growth and cost holding hands forever.

The new maths
Agents

More work, another agent. Your people manage the output instead of producing all of it.

Three ways in

Start where you are. Not where the consultants think you should be.

Build · the agency

Tell us the job. We'll build the worker.

From £1,000 Fixed · live in two weeks
  • Brief in your agent. A form scopes the work and sets price up front.
  • Built and live in two weeks. At a fixed price, agreed up front.
  • A subscription that improves. It gets better month after month.
  • Buy from the page. Commission your own from the living library.
For companies with something to lose

Every agent starts on probation.

Read-only by default

Our agents read your Xero, your HubSpot, your Sheets — they don't get to touch anything while they think.

On probation, then off

At first it shows you every move and you approve it — like an overbearing manager. Then it proves itself, and you loosen the leash: this it runs alone, this still comes to me.

It asks, never guesses

When an agent isn't sure, it asks. And everything it does goes in the log: what, when, why.

Scoped per agent

Each agent sees only the systems its job requires. Nothing more.

nativs

Start with the job everyone in your company hates.

You already know which one it is. You thought of it three scrolls ago.

Give us the boring work → Join the Natives
nativs.ai