WorkshopScoped individually
Agent Architecture Workshop
A technical session in which we design the agents, their tools, the limits of their access and the points where a person approves.
Domain H · AI systems
We put safeguards around AI systems that a business, its customers and its auditors can check: who may do what, which data reaches which model, how quality is measured and what happens when something goes wrong. This is technical governance, not legal advice.
Status:Custom engagementTaken on as a scoped project after an assessment; every engagement is quoted individually.
AI Governance, Security & Assurance
AI deployed without clear accountability.
Customer or auditor questions nobody can answer.
Personal data sent to models without terms.
Agents with broad permissions.
No evidence of quality.
AI Governance, Security & Assurance
The status shows what we offer today. Pricing is set once the scope is clear, in a written quote.
Classification of use cases by impact, approval requirements, documentation duties — with your legal counsel.
Deterministic authorisation around model output, human approval matrices, audit trails. Part of delivery in AI agent projects.
Data minimisation, redaction, retention, residency, DPA requirements for providers.
Prompt-injection defences, tool permission boundaries, secret handling, threat models.
Test sets, red-team style probing within agreed scope, evaluation reports, regression gates.
AI usage policy, model and data inventory, incident procedure.
AI Governance, Security & Assurance
Consultant-led formats with a clear scope that we usually start with.
WorkshopScoped individually
A technical session in which we design the agents, their tools, the limits of their access and the points where a person approves.
ReviewScoped individually
A review of the rules, roles and controls for your AI systems: risk, human approval, data, evaluation, documentation and monitoring.
Assessment
A fixed-scope review with written findings, risks and a prioritised plan.
Workshop
Half a day to two days with your team; decisions and a written summary.
Architecture
Target design, decision records, interfaces, security model and an estimate of the work.
Implementation
Built and tested increments with acceptance criteria and handover documentation.
Managed service
Through Managed AI & Platform Operations
Pricing is set once the scope is clear and is provided in a written quote.
Agents and automated workflows inside your systems — with permission checks and human approval.
AI assistants and features on your own documents and data — with sources, permissions and measured quality.
Ongoing operation of what has been built: monitoring, maintenance, evaluation, cost and incidents.
Where AI is worth building, in what order and with which safeguards, before you invest in a project.
Start with a quick self-assessment before we talk.
Architecture
Compose a solution from agents, integrations and approval points and get an architecture diagram to discuss.
Describe your task. We will clarify the scope and the engagement model and send a written quote.