Services

Everything you need to ship AI that holds up.

Six disciplines, one team. We take a problem from a vague sense that "AI could help here" all the way to a system your operations depend on — and we stay accountable for whether it works.

Six disciplines 4–8 weeks to production You own the IP
S·01

Agentic AI development

Systems that reason about a goal, choose a tool, act, and adapt. We build the whole loop — not just the model sitting at the centre of it.

What we build

  • Multi-step planning
  • Tool & API integration
  • Short & long-term memory

How we control it

  • Scoped permissions
  • Human-in-the-loop
  • Action logging & replay
  • Spend limits

Typical outcome

  • A job done autonomously
  • A measured pass rate
  • A runbook for your team
S·02

AI agents

Single-purpose agents that own one job end to end. Narrow scope is the feature — it is what makes reliability measurable.

Common roles

  • Research
  • Customer support
  • Sales & SDR
  • Back-office ops

Built in

  • Domain-tuned prompting
  • Retrieval over your data
  • Earned write access

Typical outcome

  • One role automated
  • A clear autonomy line
  • Review where it matters
S·03

Workflow automation

Brittle scripts replaced by workflows that read context, handle the exceptions, and escalate only when they genuinely should.

Where it fits

  • Document-heavy work
  • Triage & routing
  • Recurring reporting

How it differs

  • Adapts to format change
  • Retries differently
  • Explains what it did

Typical outcome

  • Hours returned weekly
  • Fewer error paths
  • An auditable trail
S·04

Custom AI software

For when the agent is the product. Interface, data model, infrastructure, and AI layer designed together rather than bolted onto each other.

Scope

  • Product & UX
  • Backend & data
  • Frontend apps
  • Auth & billing

Infrastructure

  • Cloud deployment
  • CI/CD
  • Observability

Typical outcome

  • A product, not a prototype
  • Documented handover
  • Your team ships next
S·05

RAG & knowledge systems

A model reasoning brilliantly about the wrong facts is worse than useless. Retrieval grounds every answer and shows its work.

Pipeline

  • Ingestion & chunking
  • Hybrid search
  • Re-ranking

Trust layer

  • Inline citations
  • Source permissions
  • Honest “I don’t know”

Typical outcome

  • Traceable answers
  • Measured retrieval quality
  • Lower hallucination rate
S·06

Evals & reliability

The discipline that separates an engineering team from a prompt shop. We build the suite, report the number, then keep watching it.

Before launch

  • Golden-set suites
  • Adversarial cases
  • Upgrade regression

After launch

  • Production monitoring
  • Drift alerts
  • Cost per resolved task

Typical outcome

  • A defensible pass rate
  • Safe model upgrades
  • Quality that compounds
How we work

From use case to production, de-risked at every step.

The Flash Cycle methodology front-loads the thinking so the build is fast and the validation is honest.

01 · Discover

Map the leverage

We study your workflows, data, and edge cases to find where an agent creates real gain — and where it must never act alone.

02 · Design

Draw the system

Architecture, tool interfaces, memory, and guardrails on paper before a single token is generated.

03 · Build

Engineer it properly

Production standards from day one: version control, tests, review, deployment pipelines.

04 · Validate & scale

Prove it, then grow it

Eval suites and adversarial testing before launch; observability and improvement loops after.

Engagement models

Three ways to work with us.

Pick the one that matches where you are, not where a proposal template says you should be.

Model 01

Discovery sprint

Two weeks to turn a hunch into a decision. We map candidate use cases, size the gain, and tell you honestly which ones are not worth building.

  • 2 weeks, fixed scope
  • Architecture and cost model
  • A go / no-go recommendation
Model 02

Build engagement

The core offering. A senior team takes one agent or system from design to production, with evals proving it works before handover.

  • 4–8 weeks to production
  • Full methodology, all five stages
  • Documented handover
Model 03

Embedded partner

Ongoing capacity for teams scaling several systems at once. We work inside your process, on your board, at your standards.

  • Rolling monthly engagement
  • Multiple concurrent systems
  • Upskilling your engineers
Start the cycle

Not sure which service you need?

Most clients aren't, at first. Book a discovery call and we'll work out whether an agent is the right answer at all — and tell you plainly if it isn't.