Our products prove the architecture works. Most engagements start with how we work alongside your team — helping you adopt specification-driven development, or building a critical system together under the same discipline.
A short, structured engagement with your architecture, risk, and compliance leads to map where agentic AI is proposing actions today, which of those actions need a rule and a check, and where the gaps are.
Book a workshop →Our engineers work with yours to specify, check, and build regulated or mission-critical systems. You get a precise specification of what's allowed, an implementation built to match it, and evidence packs your QA — or a regulator — can review.
Talk about a build engagement →We help your organisation adopt specification-driven development: writing down what your systems and agents are allowed to do in a form that can be checked, not just reviewed. Your product, engineering, and quality teams learn to keep that intent up to date.
Talk about an adoption programme →We build the Spec++ Pipeline and Compliance Operator in the open, and ship engagements that put them to work in your environment today.
Proven in regulated settings; built for any business where a rogue action or confident hallucination costs money, customers, or reputation.
Agentic AI acts inside workflows you are accountable for—raising orders, onboarding suppliers, moving client records. Most AI governance was built for outputs, not actions; guardrails held by discipline fail quietly. Before any build, your organisation needs to decide—precisely—where authority sits. Those are policy questions only your people can answer. Our job is to ask them rigorously and capture the answers in a form engineering can enforce and an auditor, a regulator, or your own board can examine.
The demo shows an agent gaining capability stage by stage—then being denied at a policy gate, with reason codes and an audit trail, when pushed to cut corners or manipulated by injected instructions.
Every workflow activity classified: required human authorisation, voluntary human contribution, or full automation once prerequisites are met.
The named human decision points that can never be delegated to an agent—your legal and regulatory anchor.
What passes control between humans, agents, and external systems—and which events wake the agent.
What the organisation will allow the agent and policy gate to do without per-step human review.
What a human must see at each approval or exception point—evidence packets, not agent chat logs.
A first slice with explicit non-goals, ready to feed a policy bundle and a build plan.