A layer on every service

AI. Professionally applied.

AI isn't a service we sell on the side. It's the craft layer we bring to strategy, web, and automation — opportunity scouting where it pays off, then the integration and implementation that actually moves the needle. Built into the way we work, not bolted on as a pitch-deck add-on.

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Under the hood

OPPORTUNITIES INTEGRATION LLM OPS GUARDRAILS MEASURE

Challenge

Everyone's talking about AI. Few are shipping it responsibly.

Board-level mandates to 'use more AI' collide with engineering reality — hallucinations, vendor lock-in, compliance gaps, brittle prompts, demos that never reach production. The noise is loud; the useful leverage is quiet.

Our approach

We treat AI as craft — not marketing surface.

We map where AI earns its keep in your strategy, products and operations, then build the integration with the same rigor as any other production system. Guardrails, observability, and cost discipline from day one. If a rule-based system works, we ship that. If AI earns its place, we embed it where it earns it.

How the work runs

Four stages. One team.

  1. 01

    Scan

    Walk your stack, your team's workflows, and your competitive terrain. Identify where AI compounds leverage and where it'd just burn cycles.

    1
  2. 02

    Design

    Pick the right model, the right place to call it, and the interfaces that keep humans in the loop. Guardrails, fallbacks and observability planned before code is written.

    2
  3. 03

    Implement

    Embed the capability in your product, your automations, and your internal tools. Versioned prompts, evaluated outputs, cost-aware routing. Production, not demo.

    3
  4. 04

    Operate

    Monitor drift, latency, cost and user outcomes. Iterate on prompts and models as the frontier moves — you own the capability, not a vendor's roadmap.

    4

Deep dive

What it actually looks like.

  1. 01

    AI Opportunity Mapping

    Before a single line of code, we scan your operations, products and ambitions for the places AI actually compounds value. What to build, what to buy, what to skip — ranked by impact and feasibility, not hype.

    • Opportunity audit
    • ROI framing
    • Build vs buy
    • Risk mapping
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  2. 02

    AI-Driven Product Features

    Whatever you're shipping, we design the AI layer that makes it smarter — generative, retrieval-augmented, agentic — with the UX that keeps users trusting the output instead of second-guessing it.

    • RAG
    • Agent patterns
    • Copilot UX
    • Human-in-the-loop
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  3. 03

    AI-Powered Automation

    Inbox routing, document extraction, decision support, summarisation — we pick the places rules can't reach and wire AI in with the guardrails production deserves. Leverage that compounds, not demos that rot.

    • LLM routing
    • Extraction
    • Summarisation
    • Decision support
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  4. 04

    Evaluations, Guardrails & Observability

    Every prompt is tested, every output is traced, every cost is tracked. We set up eval suites, guardrails and dashboards so you can ship AI features you can defend — to users, to finance, and to legal.

    • Eval harnesses
    • Prompt versioning
    • Cost tracking
    • PII filters
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  5. 05

    Vendor-Neutral Integration

    Anthropic, OpenAI, open weights on your own GPUs — we pick the model that fits the job and keep the integration swappable as the frontier shifts. You own the capability, not a vendor's lock-in.

    • Anthropic
    • OpenAI
    • Self-hosted
    • Routing layers
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5

Practice areas

0

Models married to · We route

24/7

Always-on observability