AI in Practice
We treat AI not as a tool we occasionally use, but as the infrastructure that runs our organisation. Development, operations, security, and market intelligence are all AI-driven — which means we have direct, operational experience with the same challenges our clients face.
Governing AI through separation of powers
The more you delegate to AI, the more important it is to have rules it must follow — and a mechanism that checks whether it does. We took inspiration from constitutional separation of powers: three branches, each with a distinct role, and a human approval gate at the top.
Make the rules
Rules for AI development and operations are recorded. Changes are proposed, never applied directly.
Judge
Proposals are checked mechanically for consistency with the rule format.
Audit
Every environment is audited regularly against the rules, and violations are reported.
No rule change takes effect without human approval
Autonomous development and operations
AI agents handle most of the development cycle
Code review, testing, deployment, monitoring, and documentation updates are handled largely by AI agents running autonomously. Our team focuses on design decisions and final approval. This lets a small team maintain and improve multiple products in parallel without sacrificing quality.
- Automated code review and quality checks
- Test generation, execution, and reporting
- Autonomous deployment pipeline management
- Automated anomaly detection and first-response
AI governance — separation of powers
Rule-making, auditing, and judgment are kept separate
Any organisation that delegates decisions to AI needs a structure that prevents AI from making unchecked mistakes. We separate three functions: making the rules, auditing compliance, and rendering judgment. No single function accumulates all authority.
- Explicit rule sets that define AI behaviour
- Independent auditing of AI actions by a separate mechanism
- Human approval required for significant changes
- Automatic detection and logging of rule violations
AI-driven security testing (Purple Team)
An adversarial AI continuously tests our own services
To catch vulnerabilities before they are exploited, an AI with an attacker mindset runs continuous tests against our services. Running both a defensive and an offensive AI in-house lets us maintain a consistent security baseline before and after each release.
- Continuous testing of authentication and authorisation flows
- Injection-attack resistance checks
- Validation of external manipulation patterns
- Automatic logging and prioritisation of findings
Continuous trend and market intelligence
AI collects and structures global signals for decision-making
AI continuously collects technology trends, market movements, and competitive signals, then structures them for use in product strategy. The output feeds our idea evaluation, technology selection, and proposals to clients.
- Regular collection of technology trends
- Competitor and market monitoring
- Automatic summarisation and classification of industry news
- Intelligence fed directly into idea scoring
Our commitments
How we hold ourselves to account as we expand AI use
No unsupported claims
We do not use phrases like world-first without evidence. The effects of AI adoption are communicated only within the bounds of what we can verify.
Humans stay in the loop
As we expand what AI handles autonomously, we maintain a design where significant decisions remain with people. We avoid over-dependence on AI judgment.
Governance through structure, not attention
We do not rely on human vigilance to keep AI behaviour in check. Rules and auditing mechanisms automatically detect problems.
What this means for your organisation
The knowledge we have built running AI in production transfers directly to client engagements. Whether you are asking where to start with AI, or why an existing initiative is not delivering results, we can speak from operational experience — not from a slide deck.
See how we help clientsTalk to us about AI adoption
Questions about where to start, governance concerns, or why a current initiative is stalling — we are happy to talk it through.
Get in touch