Solutions
A solution stack designed for adoption and control
We structure delivery as a solution stack: agentic AI for engineering workflows (the spearhead), enabled by data readiness and modernisation (the connector), and secured by default with security and AI governance (the foundation). This ensures outputs are deterministic, traceable, and fit for regulated or safety-critical operations.
Agentic AI for Engineering (Spearhead)
- Deterministic RAG for complex technical manuals and procedures (e.g., MRO, manufacturing, energy)
- Workflow integration across manuals, procedures, job cards/work orders, and enterprise systems
- Governed outputs with citations, version awareness, and evidence packaging for review and sign-off
Data Readiness & Modernisation (Connector)
- AI-ready content foundations: document control, metadata, lifecycle governance, and version management
- ERP and content modernisation framed as the runway for reliable AI adoption (access, structure, integrations)
- Solution architecture and integration so AI can read, draft, route, and operate within controlled workflows
Security & AI Governance (Foundation)
- Security-by-design across identity, access controls, data leakage controls, secrets, logging, and auditability
- GenAI design assurance for RAG/LLM deployments: governance, traceability, and risk controls for regulated environments
- Cloud and DevOps security architecture assessments and posture reviews to harden delivery at scale
Engagement
How we start
Start small and governed. Define one workflow and dataset scope first, validate quickly with deterministic outputs and traceability, then scale to production with security hardening and integrations.