Built with AI, by a non-technical operator

Stop running high-value work through low-leverage tools.

AstraJax turns messy workflows, scattered data and trapped know-how into AI-ready operating systems — then adds bounded agents your team can actually trust. Built for and by the people who run the business — not the data team.

Get a Commercial OS Audit See the Butternut story

Ask Clive about AstraJax ↓

The Live Direct Sales Agent Cast

The gang in motion — operational agents with names, jobs and just enough theatre to make people actually use them.

The context product

Clive

A managed context environment — not a chatbot.

AstraJax structures the work. Clive structures the context. Agents use both.

Clive is the system that decides what your agents are allowed to know, where that knowledge came from, and when it needs updating — a human-approved knowledge layer that keeps every agent trustworthy as the business changes. The chat is just one way to ask it questions.

Intake: Capture rules, decisions and know-how as they happen.
Curate: Keep one source of truth — sourced and current.
Human approval: Nothing enters the knowledge layer unapproved.
Scan: Flag stale, conflicting or missing context before agents trip on it.

A small taste — ask the context layer

Ask Clive

Live

Context health · governed sources

Clive: Ask me about AstraJax, the method, offers, or how Clive keeps context clean for agents.

Answers use approved AstraJax context. For a tailored conversation, start with an Audit.

Founder proof

Domain experts don't need to become technical — with AI, they can become architects. A developer builds the tool; a commercial expert knows when its answer is quietly wrong.

Built by someone who owned the P&L and ran the team it served — a production operating system at scale, with AI, on clean data, never hand-coded.

Ex-actor, RADAEx-Head of Direct SalesNever wrote code

01 · The problem

Heroic people hold the business together; the systems don't.

Work lives across Sheets, Slack, Gmail, WhatsApp, Notion — or in people's heads.
Operators copy, chase, reconcile and report instead of doing the work that matters.
AI experiments fail because the data and workflows underneath aren't ready.

02 · The method

From mess to a system your team trusts.

Diagnose the mess → build the boring layer → turn experts into architects → add bounded agents → engineer adoption → hand over & maintain.

Diagnose

Find the trapped work.

Boring layer

Clean data, clear flows.

Architects

Judgement → system.

Bounded agents

Approved, audited.

Adoption

Trust, training, value.

Maintain

Context governance.

The boring layer makes the exciting layer possible.

~12 months on the boring layer → screens in ~1 month → first agents in ~2 weeks. Built with AI, on clean data — never hand-coded.

03 · Proof

From inboxes to an operating system.

Butternut Box · Direct Sales

Matthew's work leading the channel — from Gmail, WhatsApp, Notion, and Google Sheets to an operating system. ~12 months on the boring layer, then a fleet of custom screens in ~1 month and the first agents in ~2 weeks — fast because the foundation existed.

~£180k

travel saved per year

~3,000 hrs

capacity unlocked at scale

~£8.1m

Direct Sales spend governed

Bounded agents follow the Trinity pattern: link → propose → human approves → execute. Humans keep judgement; agents take the sludge.

See the Butternut training hub in production

Adoption by design

Personality is not decoration — it is adoption infrastructure.

Training hub Sandboxes Leaderboards Characterful agents

Open the DS training hub

Live from production — operational bases, walkthroughs, and a training leaderboard synced from Agent Ops.

Four ways in

Start where it's safe to start.

Commercial OS Audit

Diagnose & plan.

Where you lose time, visibility and leverage — with a roadmap to fix it.

Commercial OS Sprint

Build the first layer.

A done-with-you build of your first clean, AI-ready operating layer.

Domain Architect Enablement

Coach the experts.

Your people learn to shape, run and safely improve the system themselves.

Clive

Keep context clean.

Keeps the context your agents rely on current, sourced and trustworthy.

Start with the Audit

Start with an Audit

Your experts don't need to become technical.

You keep the judgement; agents take the sludge.

Book your Audit

What you get

Workflow map & data / tool audit
AI-readiness assessment
Prioritised roadmap + sprint plan