What we do
We help organisations put agents into production without losing control of them.
That covers:
- AI visibility and recommendation
- Agent-driven operations and cost reduction
- Secure, governed automation
Whichever of those is hurting most is where we start.
Our services
AI security and governance
As agents gain autonomy, new security and governance risks emerge. We help organisations design safe automation from the start.
- Agent threat modelling and risk analysis
- Prompt injection and tool misuse mitigation
- Auditability, logging, and compliance readiness
Agentic frameworks
We help organisations move from isolated AI experiments to reliable, cost-effective agentic systems that take work off people rather than sitting alongside it.
- Agent readiness and cost reduction assessments
- Internal agent architecture and role design
- Optimising reliability, accuracy, and operational cost
Strategic advisory
AI decisions compound. We work with leadership teams to define where agents create advantage, where humans must remain in control, and how to avoid lock-in or uncontrolled complexity.
- AI operating model design
- Build vs buy vs partner decisions
- Organisational and headcount impact
Automation and AI readiness
Most AI readiness problems are not AI problems. We assess whether your data, processes and systems can actually support automation, then sequence the work by what is ready rather than by what is popular.
- Readiness assessment across data, process, systems and people
- Process mapping and automation candidate selection
- A sequenced roadmap with a baseline to measure against
AI commerce
AI assistants are already recommending, booking, and buying on behalf of users. We help organisations design the structures and integrations that allow AI systems to interact with their products correctly, safely, and at scale.
- AI-ready product and service catalogues
- Integration with AI assistants, marketplaces, UCP, A2A, and vertical platforms
- Transactional APIs for booking, purchasing, and changes
GEO
Traditional SEO does not apply when AI systems generate answers and recommendations instead of ranking links. GEO focuses on how AI models understand your brand, when they recommend you, and why.
- AI discoverability and visibility audits
- Semantic entity and intent mapping
- Answer and recommendation optimisation
Advice from the team that builds the control plane
The same team builds KPATH, the control plane for enterprise AI agents. Our engagements draw on what we see governing real agent estates: where the risk sits, what an auditor asks for, and what it takes to get from a pilot to production.
Already know what you need to enforce? See the KPATH platform.
Why KPATH?
KPATH Consulting draws on decades of consulting and digital transformation work, and on what we learn from building the platform itself. Where it helps a client, we bring parts of that platform into the engagement: secure agent messaging, semantic discovery, trust layers. It shortens delivery and leaves less risk to clean up later.
Infrastructure and delivery focused. Built by operators, not theorists.
When AI understands your systems, permissions, and tools, it can operate with speed, accuracy, and intent, not trial and error.
“AI doesn’t fail because of models. It fails when it’s not designed as infrastructure.”
James Williams, Co-Founder and AI Transformation Lead
We help organisations move beyond experimentation to durable, governed AI systems that deliver real outcomes. Meet the full team.
Research partnerships
KPATH partners with the Artificial Intelligence Collaboration Centre (AICC) and the Centre for Secure Information Technologies (CSIT) to develop secure AI technology for enterprise clients.
The AICC is a £16.3 million AI adoption initiative led by Ulster University with Queen’s University Belfast. CSIT is the UK’s Innovation and Knowledge Centre for cyber security, based at Queen’s University Belfast.