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AI Automation & Agents

Agentic systems that do real work, safely.

Production AI: agents, automations, and copilots that make measurable changes to operations, revenue, or risk. AI-agnostic across OpenAI, Anthropic Claude, Google Gemini, and open-source models, with the evaluation and observability stack to keep them honest.

Where this goes wrong

The patterns we are most often called in to fix.

Pattern 01

Pilots that demo well but never reach production safely.

Pattern 02

Agents that hallucinate in regulated workflows and erode trust.

Pattern 03

AI investments locked into a single model vendor with no exit plan.

Our process

How we deliver: Discover, Architect, Build, Run

  1. 01

    Discover

    Frame the problem with the people closest to it. Map the system. Surface the assumptions and the unknowns.

  2. 02

    Architect

    Design the target state and the path to it. Make the trade-offs explicit. Earn buy-in across engineering, security, and the business.

  3. 03

    Build

    Cross-functional delivery with a definition of done that includes observability, security, and runbooks, not just feature acceptance.

  4. 04

    Run

    Operate with you. Continuous improvement against business outcomes, with FinOps and AI-augmented DevOps baked in.

What’s in scope

The capabilities you draw on across an engagement.

  • Sports Data AI analysis and real-time match intelligence
  • Market Intelligence and signal-generation agents
  • Compliance AI on open-source LLMs for regulated workloads
  • DevOps and SRE AI agents for incident triage and remediation
  • Cloud cost optimisation agents (FinOps automation)
  • Billing and dispute-resolution agents
  • Evaluation harnesses, guardrails, and human-in-the-loop design

Technology footprint

We are pragmatic about technology, and AI-agnostic by default.

OpenAIAnthropic ClaudeGoogle GeminiLlamaMistralQwenLangGraphTemporalVector DBs
Anonymised case study · Sports & Media

Market intelligence agents for sports and media operators

Multi-agent system deployed across several UK sports and media operators, monitoring news, rights announcements, competitor activity, and fixture and audience data to generate explainable signals for commercial and editorial teams.

−71%
Analyst triage time
100%
Signals with source-grounded citations
0.88
Holdout-set precision@10
Read case study

Related services

Have a programme that needs ai automation & agents?

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