AI automation for UK ops, sales, finance and content teams. Zapier moves data — it doesn’t make the judgement call. We build AI workflows that read messy inputs, decide the next step, take it, and log every move — replacing 12 to 20 hours a week, on MERN + Python + AWS, with the audit log your finance director will want to read.
Zapier moves data. We make the judgement call, take the action, and log every move with the audit log your finance director will want to read.
Sarah runs ops at a UK B2B SaaS. Last Wednesday afternoon she spent 4 hours and 12 minutes reading supplier invoices, picking the right category in Xero, finding the right approver, sending Slack reminders, and writing “chase the chaser” emails.
She earns £58K. The work she did is worth maybe £14 per invoice. The company processes 480 invoices a month. The maths aren’t the cruel part. The cruel part is Sarah is brilliant at the strategic ops work she gets pulled into on Mondays and Fridays, and she spends Wednesday afternoons doing data entry instead of that, because no one has taken the loop off her plate.
This page is for the founder who knows their Sarah. Who’d like her to spend Wednesday afternoons on the work she was actually hired for.
Using Sarah’s real numbers. Saving: £2,321 / month · £27.8K / year. Build pays back inside 11 weeks.
This year alone. The repetitive, judgement-light work your team complains about first.
Read, categorise, post to Xero / QuickBooks / Sage. Exceptions to human queue.
Transcript AI summary field updates in HubSpot / Salesforce Slack handoff.
Company size, ICP score, decision-maker. First reply drafted in founder’s voice. Calendar booked.
Read against your standard playbook. 90% pass-through. 10% flagged with reasoning.
200 location pages, 500 product descriptions. Brand-voiced, fact-checked, CMS-ready.
Structured research request web + internal docs one-pager with citations.
Each one is the difference between an automation your CFO trusts and one that scares them.
“I’m paying a £58K person to spend 28 hours a month reading invoices.”
AI reads + categorises + posts, human reviews exceptions. 28 hours/month 2.5 hours/month. Inference cost £19. Median client saves £27.8K/year per automated loop.
“The automation refunded a customer twice because of a retry.”
Idempotency keys + human-in-the-loop on refunds. Every action has an idempotency key. Refunds over £X go through human approval. Double-charges architecturally impossible.
“Automation categorised £14K of invoices to the wrong account in Xero.”
Eval gold set + confidence threshold. Gold set built from your last 200 invoices. Below confidence threshold, goes to human queue. Categorisation error rate post-launch: 0.4%.
“The automation cost £200 last month. This month it’s £1,800.”
Per-call budget + cost dashboard + anomaly alerts. Hard token + latency cap on every call. Per-day cost dashboard. Anomaly alerts to Slack at £X/day. Runaway bills become impossible.
“Finance director asked what the AI decided. We can’t show her.”
Append-only audit log + reasoning capture. Every AI decision logs the input, the reasoning, the output. Exportable for finance, audit, regulators. Your director reads it and asks no more questions.
“We have 12 Zaps and nobody knows which one does what.”
One workflow registry + visual graph. Every automation in one dashboard. Visual graph of triggers + steps + actions. New ops hire understands the entire stack in an afternoon.
“Xero changed an API field. Three automations broke silently.”
Schema contracts + integration tests in CI. Every integration has a schema contract tested in CI. If Xero changes a field, CI fails before deploy. No silent breakage.
“Investor asks: what’s the actual GBP saved? We’re guessing.”
Baseline + post-launch measurement built in. We measure the loop before and after. Hours, errors, GBP cost. Report to your CFO in week 5, written by us. Median client: 8-15× monthly run-cost in saved hours.
A B2B fintech’s bookkeeper was at 20+ hours/week, 4% month-end error rate. Our 5-week automation reads each invoice, picks the category, posts to Xero, routes the <3% it can’t decide to a human.
From £18K, payback in ~11 weeks. Toggle to see the per-loop and platform shapes. Your real number comes in the email back.
One loop automated end-to-end.
Audit, build, exceptions queue.
4 to 6 weeks. We shadow the loop, build it, and hand you the ROI report.
See pricingWhat’s included:
Self-serve workflow builder.
Add automations without us.
10 to 16 weeks. A platform your team runs, with per-tenant cost tracking.
See pricingWhat’s included:
Pain-first, soft-second.
Zapier wins where the rule is fixed. We win where the rule needs judgement. Most growing teams need both. We’ll often write the AI piece and leave your Zapier flows running for the clean stuff. Zapier moves data; we make the judgement call, take the action, and log every move.
Every automation has a confidence threshold you control. Below it, the work is handed to a human with the reasoning attached. Every action is reversible. The replay tool lets you reproduce any decision and fix the prompt or rule that caused it.
Mostly no. The AI automation runs in the background of your existing stack. Your team sees a single dashboard for the exceptions queue, and a clean audit log when they want to dig in. No new SaaS to live in.
Yes, we baseline the time + error rate of the manual loop in week one. At launch we measure them again. Report is in your CFO’s inbox, written by us, not by you. Most clients see 8-15× the monthly run-cost in saved hours within eight weeks.
30-day walk-away both ways. Milestone billing 25/25/25/25. UK VAT registered, listed on Companies House, shipping since 2019.
Every AI automation project has two senior engineers paired. Every decision into an ADR same day. Mohit reviews every PR. Two handovers in seven years, both inside 48 hours.
Zero-retention tiers configured by default. PII redaction at the gateway. For regulated data we self-host Llama or Mixtral on your VPC. Signed DPA + sub-processor list before week one.
Yes, with 14 days’ notice. Engineers move to other projects. Spend pauses. Resume with 14 days’ notice. No cancellation fee.
A look at the kind of ai automation surface we hand over — real screens, real data, documented and yours from day one.
Name the loop that’s killing you, the tools it touches, and the cost of getting it wrong. Mohit replies inside 24 hours: a clear yes, a clear no, or the one question that decides it.
Yes, no, or the deciding question. Straight to your inbox.
Time the steps, document the edge cases, baseline the ROI.
The loop runs itself. The CFO gets the before/after report.