01
The zap breaks and nobody notices
A no-code chain fails silently on a Tuesday. Nobody finds out until a customer complains three weeks later.
AI Automations
Automation that holds up after the demo.
Most automation work stalls at a trigger and an action. We start by understanding how the business actually runs, then connect the systems that run it — CRM, inbox, WhatsApp, invoicing, reporting — with whatever mix of no-code, custom code, or AI the job actually needs.
Book an automation discovery call
Start with a short call. We'll figure out together whether this is a one-week audit or a bigger build.
When a zap isn't enough anymore
The signals that something's outgrown its automation
None of these mean the business did anything wrong — they mean the process moved on faster than the tooling did.
02
Data gets re-typed by hand
The CRM, the invoicing tool, and the spreadsheet all hold the same information — because nothing was ever connected properly.
03
The automation became spaghetti
What started as one simple rule is now twelve branching steps nobody on the team wants to open, let alone change.
04
No one can see what's happening
There's no log, no owner, no way to answer 'did that actually run?' without digging through three different tools.
How we work
We map the business before we automate anything
Messy, ambiguous problems are the actual job. We spend time understanding how work really moves through the business before a single workflow gets built.
Map
Walk through how the business actually handles enquiries, orders, or follow-up today — the real process, not the org chart version.
Diagnose
Find where time, money, or trust is leaking out — and just as importantly, where things already work and don't need touching.
Design
Choose the smallest system that solves it: a script, an internal tool, an agent, or a platform. The tool is a means, not the deliverable.
Build and prove it
Ship it, watch it run on real work, and adjust. A working improvement beats a polished proposal nobody's tested.
Not just Zapier and Make
A mix of code and platforms, chosen for the job
The right answer is sometimes a no-code trigger, sometimes a custom-built tool, and sometimes an AI agent making a judgment call. We use whichever fits.
01
No-code orchestration
Zapier, Make, n8n — still the right call for simple, disposable triggers that don't need to be bulletproof.
02
Internal tools & dashboards
A Retool- or Airtable-style panel, or a small custom admin screen, when the team needs real visibility and control.
03
Custom backend & APIs
Scheduled jobs, webhooks, or a service quietly running behind the scenes once the logic outgrows a no-code chain.
04
AI / LLM agents
Drafting replies, triaging enquiries, summarising, classifying — judgment calls, not just moving data from A to B.
05
Systems integration
CRM, finance, inventory and comms actually talking to each other, instead of living as four separate sources of truth.
Automation Packages
Choose the way in that matches what you already know.
Start with a review if you're not sure what's worth automating, or go straight to a build if you already know the fix.
Automation Audit
You suspect something should be automated but don't know what.
A focused review of how enquiries, orders, or follow-up actually move through the business today, and what's worth fixing first.
- Workshop mapping the current process
- Review of the tools already in use
- Scored list of automation opportunities
- One clear recommendation for what to build first
Fixed-fee engagement
Start with an auditAutomation Build
Most common
You know the fix — you need it built properly.
A focused 2-4 week project that ships one meaningful automation, end to end, with the team able to run it unassisted.
- Agreed scope from the audit or a known problem
- Built with whichever mix of tools fits — no-code, custom code, or both
- Testing against real, messy edge cases
- Team handover and a 30-day review
Project pricing
Scope a buildAutomation Partner
There's a steady stream of improvements worth making.
Monthly support to keep shipping one useful automation improvement at a time, as the business and its tools change.
- Monthly planning session
- One improvement shipped per month
- Monitoring so failures get caught, not discovered by a customer
- Steady progress without restarting each time
Monthly retainer
Talk about ongoing supportConnected AI Systems
Need an agent, custom code, or several systems working together?
For automations that outgrow a single workflow — an AI agent handling judgment calls, a custom-built internal tool, or several systems (CRM, finance, inventory, comms) wired together properly. This is where the mix of code and platforms earns its keep.
- AI/LLM agents for drafting, triage, or classification
- Custom internal tools and dashboards
- Multi-system integration across CRM, finance, inventory, comms
- Monitoring and a clear owner for what happens when something fails
Custom scope
Scoped after an audit or a short technical review — this isn't priced off a template.
Talk through the systemFAQ
Common questions
Do you just connect Zapier or Make.com?
That's part of the toolkit, not the whole job. The same team also writes custom code and builds internal tools when that's the better fit — you get whichever is right for the problem, not whichever the vendor sells.
What if we don't know what we need automated?
That's what the audit is for. We map the current process and leave you with a scored list of what's actually worth fixing first — no build commitment required.
Do you build AI agents, or is that just marketing?
We build them for well-scoped, reviewable tasks — drafting replies, triaging enquiries, summarising documents. Anything higher-stakes gets a human checkpoint, not blind trust in a model.
What happens after launch?
A 30-day review to see what actually changed, then it's your call — leave it running, or move to the monthly partner tier if there's a steady stream of improvements worth making.
Talk through what's worth automating
Book a short call to figure out whether this is a one-week audit or a bigger build.