Production-grade AI systems

AI agents built for the real world.

Design, deploy, and secure dependable AI agents with production playbooks, working patterns, and security engineered in from day one.

Agent architecture Security controls Production operations
Agent statusProduction ready
Security posturePolicy enforced
500+production deployments
24hto a working agent
3compliance frameworks
Alwayssecurity first
Build with intent

Move beyond the demo.

A practical path from promising prototype to observable, governed, production-grade AI system.

01 / BUILD

Agents that actually work.

Battle-tested patterns for systems that stay useful when the environment gets complicated.

  • Single vs multi-agent architectureChoose the right design for the job.
  • Memory & planning systemsBuild agents that learn and adapt.
  • Tool selection & integrationConnect safely to real-world systems.
  • Evaluation & failure modesCatch issues before production.
02 / SECURE

Trust built into the system.

Security, governance, and operational control designed as core capabilities—not an afterthought.

  • Prompt injection defenceProtect every input boundary.
  • Tool abuse preventionEnforce policy at runtime.
  • Compliance mappingNIST AI RMF, ISO 42001, ISO 27001.
  • Observability & governanceMonitor, audit, and control behaviour.
Production playbooks

Patterns ready to ship.

Focused implementation guides for the parts of agent systems that are hardest to get right.

01

LangGraph Production Patterns

Build stateful, multi-step agents with resilient error handling and recovery.

PythonLangGraph
02

Secure Tool Calling

Implement function calling with clear authorisation boundaries and sandboxing.

SecurityTypeScript
03

Multi-Agent Orchestration

Coordinate specialised agents without losing control, context, or observability.

CrewAIAutoGen
04

RAG with Security Controls

Secure retrieval-augmented generation with enforceable data-access policies.

SecurityRAG
05

Agent Observability

Trace decisions, monitor tools, and debug production agent systems.

MonitoringOpenTelemetry
06

Evaluation Frameworks

Test agent behaviour, expose failure modes, and measure what matters.

TestingEvaluation
Security architecture

Control at every layer.

Reference architectures for secure, compliant AI agent systems—designed for scrutiny.

Threat modelling

Identify and mitigate autonomy abuse, data exfiltration, and tool misuse before launch.

Guardrails & policy

Put runtime controls, input validation, and output filtering at every critical boundary.

Audit & compliance

Map systems to NIST AI RMF, ISO 42001, and ISO 27001 with production-ready audit trails.

Mapped toNIST AI RMFISO 42001ISO 27001
Start with a clear system

Ready to build something dependable?

Tell us what you are moving into production. We’ll help you shape the architecture, controls, and delivery path.