Service · Automate

When the honest answer is "you don't need an LLM."

A pilot that replaces repetitive operational work using workflow automation (n8n, Zapier, RPA, scripted pipelines), with AI pulled in only where it materially beats the automation option on cost or capability.

Book a 30-min scoping call Read: off-the-shelf vs bespoke
Fit

Who it's for, who it isn't

It fits when

  • Your "AI problem" is actually a workflow problem with a human in the middle.
  • Back-office operations with high repetition, moderate complexity, and strict audit needs.
  • Your Discovery or Cost Model output said "this doesn't need AI, or doesn't need it yet."

It doesn't fit when

  • You're committed to a pure-AI deployment for brand or strategic reasons: that's fine, do Rapid Secure AI POC.
  • Your workflow is novel or unstructured: LLMs are the right tool, do the POC instead.
  • You want a free consultation disguised as "assessing whether automation fits"; this engagement is for teams ready to ship.
What you get

The deliverable

  • A working automation pilot inside one operational area.
  • Cost-benchmark against the AI alternative across tokens, compute, and cloud cost, so the chosen path is defensible.
  • Audit trail at the workflow level. Who triggered it, what it did, where it went.
  • Handover plan for the team that owns the workflow afterwards.
How it works

The phases

  1. Scope the workflow

    Map the current process. Identify the handoffs and the costly steps.

  2. Pick the platform

    n8n, Zapier, Make, scripted pipeline, or RPA. Decision driven by audit needs, volume, and existing stack.

  3. Build and integrate

    Stand up the automation, connect source systems, add audit logging from day one.

  4. Measure against baseline

    Time saved, error rate, cost per run. Side-by-side with the AI alternative.

  5. Readout and handover

    Joint session with the team that will run it. Runbooks, credentials, monitoring pointers.

Duration & price

What to budget

Duration

2–6 weeks

Price shape

Scoped per engagement

Sized at scope. Tighter scope, shorter delivery, lower price. Complex integrations push the upper end.

Sample deliverable

What the output looks like

An anonymised sample of a past deliverable for this engagement is being prepared. Until it's published here, the clearest picture comes from the methodology page. This service is one productised slice of the same method.

The best AI project is sometimes not an AI project. We will still deliver it.
Book a 30-min scoping call Read: off-the-shelf vs bespoke
Not the right fit?

Try one of these instead