AI & Automation — built honestly
Automation that starts from ROI, not hype — AI workflows that save real hours and ship with humans kept firmly in the loop.
Pain points you'll recognise
If any of these are true for you, this service was designed for exactly that situation.
Repetitive back-office work keeps stealing hours from your real priorities.
You already hold data you can't act on — it lives in spreadsheets and silos.
AI hype makes it hard to separate a real use case from an expensive demo.
The outcome, stated plainly
Not features for their own sake — what changes in your business when this service is done well.
Use cases that pay for themselves
- We map automation to your actual workflows and measure the hours saved
- Pilot-scale before you commit to anything big
Human-verifiable AI
- LLM and RAG integrations with guardrails and sourcing
- Predictive analytics from the data you already own
A rollout your team can live with
- Pilot → measure → scale rather than big-bang
- Design that keeps a human in the loop where judgment matters
How we can work together
Two honest ways to work with us. Both start with a discovery conversation.
A defined, repetitive process you want automated in 3–6 weeks
- Single workflow, measurable outcome
- Fixed fee, fixed scope
- Built on tools your team already uses where possible
Document intelligence, support bots, or data insights
- A scoped pilot on your real data
- Clear evaluation criteria before scaling
- Option to continue as an embedded AI engineer
A timeline you can hold us to
Realistic phases, reported weekly. Here's the shape of a typical engagement.
01. Week 1
Discovery and workflow mapping — where the hours actually go.
02. Weeks 2–5
Automation or model build on a scoped pilot, with weekly demos.
03. Week 5–6
Measured outcome report: hours saved, error rate, and the case for scaling.
04. Scale
Broader rollout, integration into daily tools, and monitored operation.
Proof, published as it happens
- We publish real client outcomes as projects complete — not stock photography of other people's work.
- Every case study includes the metrics that matter: tests, rollout approach, and the problem as it actually was.
- Want proof sooner? Start small — a scoped pilot or assessment shows our working style in weeks.
Honest limits we communicate
What we won't pretend: scope notes that keep our commitments honest.
- We are a founder-led company that scales with specialist contractors per engagement — pilots are the entry point, deliberately.
- We are not a research lab: we implement practical automation built on proven models and platforms.
Before you commit
No — chat is one small use case. Most value comes from process automation and getting answers out of data you already hold.
Discuss a AI & Automation engagement
Tell us the problem you're solving and we'll come back with an honest view — scoped to what can genuinely be delivered.
No obligations — just an assessment.