Service · AI Automation

Put the boring work on autopilot.

Practical AI — no crypto-tier hype. Email triage, lead qualification, transcript summaries, document extraction. Things that save your team hours a week.

starts at $1,490 + $390/mo · no lock-in
Hours/wk
Saved by the avg build
Target 5+ hrs/wk of human time saved per automation. If we cannot see that, we do not ship it.
Humans
Stay in the loop
Review dashboards where you approve or override before anything sends.
Cost+
Model pricing transparent
We bill the OpenAI/Anthropic/OpenRouter invoice at cost. No 10x markup.
90 days
Monitoring + tuning
Edge cases show up after week two. We watch and fix until it is solid.
What you get

What's in, what's not.

INCLUDED
Process discovery
We find what's actually worth automating — not everything should be.
INCLUDED
Custom builds, not just Zapier
When Zapier's enough we use it; when it isn't, we build properly.
INCLUDED
Review dashboards
Humans stay in the loop. You see what the AI did and why.
INCLUDED
Hosted, monitored, maintained
If OpenAI changes APIs, we handle it.
NOT US
"AI" slapped on things that aren't AI
We'll tell you when a regex is a better fit.
NOT US
Selling you GPT wrappers at 10x markup
Transparent pricing on model costs.
Deliverables

A typical automation ships with.

We build practical automations, not demos. Each one comes with the scaffolding you need to actually trust it in production.

01
The automation itself
Runs on a schedule or a trigger. Not a Zapier duct-tape job — proper code in your repo.
02
Review dashboard
Where a human approves, rejects or tweaks outputs. Audit log of every decision.
03
Prompt versioning
Prompts are code. We check them in, version them, roll back when a model update breaks behaviour.
04
Evals
Golden test set. Every prompt change runs against it before going live. We catch regressions before customers do.
05
Cost dashboard
Per-run cost, monthly spend, sudden spike alerts. No surprise $2,000 bills.
06
Fallbacks
When the model fails or hallucinates, the automation fails loud — not silent. Alerts to Slack.
How it works

A typical engagement.

01 · Week 1
Audit your time
Shadow a day or two. What's repetitive and rule-based?
02 · Week 2
Scope + estimate
Top 3 automations, fixed price, expected hours saved.
03 · Week 3+
Build + deploy
Ship, monitor, iterate.
04 · Monthly
Tune
Models improve, prompts change, edge cases emerge.
Deep-dive

Things we automate well.

01
Email triage + drafts
Inbound to the right person with a draft reply. Not autosend — a draft. Saves 40+ minutes/day for most ops people.
02
Lead qualification
Form submission → enriched → scored → routed. Sales stops chasing tyre-kickers.
03
Document extraction
Invoices, contracts, receipts → structured data → into your system. Pays for itself in weeks.
04
Meeting summaries + CRM logging
Transcript → action items → pushed to HubSpot / Pipedrive / Monday. Nothing falls through the cracks.
05
Customer support deflection
FAQ + your actual docs → fast first-response. Always with a "talk to a human" escape hatch.
How we stack up

AI delivery models.

ChatGPT Pro aloneZapier + AI actionsUs ($1.5k + $390/mo)AI consultancy ($30k+)
Runs reliably on scheduleNoSometimesYesYes
Human-in-the-loopNoManualBuilt-inBuilt-in
Prompt evalsNoNoYesYes
Cost controlsNoneHit usage capsPer-run + spike alertsYes
Runs on your dataWeaklySurface-levelYesYes
Good forAd-hoc tasksSimple workflowsSMB ops savingsEnterprise rollout
What a client said
They told us one of our "AI" ideas was just a regex and built it in two days. The other two took a month and have been running for 18 months without a hiccup.
Hamid S.
Head of Ops, DockSide Logistics
Questions

Things people usually ask.

Didn't answer yours? Just email — we reply.

Sometimes. Sometimes it's pure code with no LLM at all. We use the cheapest thing that works.

Want to talk about it? Email us.

No sales deck. Just a reply from one of us, usually the same day.

Get in touch Email us