An AI automation agency that ships working systems — not demos
Most "AI agencies" sell you a ChatGPT wrapper with a 3-month retainer. We build AI automations that plug into your actual tools, run on your actual data, and pay for themselves inside a quarter.
Less hype. More plumbing.
AI automation isn't magic. It's the same process discipline as traditional automation, plus a new class of tool — LLMs, embeddings, agent frameworks — for work that used to need a human. The agency job is to know when to reach for AI, when to reach for Zapier, and when to reach for nothing at all.
- AI-first where it earns its keep — Document classification, extraction from messy inputs, draft generation, routing decisions, customer support triage. Tasks where rule-based logic falls apart.
- Rule-based where it's cheaper — If a Zap or a lookup table does the job, that's what we build. We don't upsell LLMs to hit a P&L target.
- Hybrid by default — Real production automations blend both. An agent that drafts, a rule that sends, a human that approves — in that order.
The AI automations that actually move numbers
We've stopped building demo-ware. These are the categories where AI consistently pays back for SMEs between 10 and 200 staff.
- Inbound triage & routing — Classify inbound email, forms and tickets by intent, urgency and owner. Push to CRM, Slack or help desk. Typically 40–60% time saved on manual triage.
- Document extraction — Invoices, contracts, CVs, supplier forms. Extract structured fields with confidence scoring, human-in-the-loop for edge cases.
- Content & outreach drafting — Personalised first drafts for sales sequences, customer replies and proposals — grounded in your CRM, not hallucinated.
- Internal Q&A agents — Retrieval-augmented assistants over your docs, policies and tooling. For onboarding, support enablement and compliance.
- Reporting & summarisation — Weekly rollups, variance analysis, meeting recaps — pulled from the tools of record and written in your team's voice.
- Data entry & reconciliation — Cross-system matching where data drifts — finance ↔ CRM ↔ project tool. The boring stuff that eats the most hours.
Tools we use, and when
We're not married to any platform. We pick per-project based on cost, fit and your team's ability to own it afterwards.
Pilot first. Production second. Retainer never.
We won't sell you a transformation. We'll sell you one working automation, prove the ROI, then let you decide what happens next.
30–60 minutes with each team member, audit of current tools and data. Output: ranked list of 5–10 AI-viable opportunities with estimated ROI.
We pick the top opportunity and build it end-to-end on your real data. Flat fee. No pilot, no payment — we only invoice when it's running in production.
Baseline vs. live metrics. Hours saved, accuracy delta, cost per run. Reported in writing, not just a dashboard.
Scale to the next automation, hand the stack over, or stop. All three are fine. We don't retain clients we're not actively helping.
What clients say after the pilot goes live
"We'd been quoted £80k by two AI agencies. Watermelon shipped the first working pilot for £12k in three weeks. It's now classifying 400 CVs a day and the consultants love it."
"The invoice extraction agent has saved our bookkeeper two days a week since month one. The team trusts it because they can see every decision it made and override any of them."
"What I liked most: they talked us out of two AI projects that weren't ready, and built the one that was. Most agencies would have taken the money."
Bring us one task. We'll tell you if AI should do it.
30-minute call, no pitch deck. Describe one task your team does repetitively and we'll tell you — honestly — whether AI automation is the right tool and what a pilot would cost.