AI for everyone
Every employee, from engineering to finance, has access to frontier AI tools from day one, and is expected to use them.
How we work
AI in every role. Judgment in every decision.
ALL FOR AI was founded on a simple idea: if everyone uses AI well, a small team can deliver like a large one. Here is what that looks like day to day.
Principles
Six rules we work by
Humans own the outcome
AI drafts, explores and accelerates. People decide, verify and take responsibility for what we ship.
Verify, then trust
Every AI-assisted output goes through tests, reviews and evaluations. Speed never replaces correctness.
Share what works
Prompts, agents and workflows are shared across the company, so one person's breakthrough becomes everyone's default.
Open by default
We tell clients exactly how we use AI on their work, and we publish our policies openly, including this website for AI agents.
Security first
Client data stays inside approved, enterprise-grade tools with clear retention rules. No shortcuts with confidential information.
A day at ALL FOR AI
What AI-native actually looks like
AI isn't a side project here. It runs through the whole working day, for every team.
09:00
Stand-up. Agents have already summarised overnight CI runs and open review comments.
10:00
Pairing with a coding agent on a new feature. The engineer sets the design; the agent drafts code and tests.
13:00
Client workshop. Live AI-generated prototypes replace static mock-ups.
15:00
Human review of every AI-assisted change: correctness, security and readability.
17:00
New prompts and agent workflows from the day go into the shared company library.
Delivery
Our delivery model
01
Discover
We map your goals, constraints and data, and find where AI changes the economics of the problem.
02
Design
Architecture, evaluation criteria and a delivery plan, reviewed with your team before any code is written.
03
Build
Short, AI-accelerated iterations with working software every week and full visibility into progress.
04
Verify
Automated tests, human review, evaluation suites and, for robotics, validation on real hardware.
05
Scale
Deployment, monitoring, and handover with training, so your team can run and extend what we built.
Responsible by design
Using AI everywhere only works with clear guardrails. These apply to every project, for every client.
- Client data only in approved, enterprise-grade AI tools
- No client data used to train third-party models
- Every AI-assisted deliverable reviewed by a named human owner
- Full transparency with clients about where AI was used
Ready to build with an AI-native team?
Tell us what you are working on. We reply within one business day with next steps.