Automation
Automation first. AI only where it earns it.
We automate the repeatable work that eats into your team’s hours - data moving between systems, records updating, leads routing, sequences running. Most of it runs on a rule; a model is the exception. When a job needs AI, we add it, and we keep an eye on the token bill while we do.
Deterministic where it can be. AI where it has to be.
- Repeatable work
- Known logic
- Cheap to run
- No tokens
The shape of it
What an automation actually looks like.
A trigger, a rule, an action, a receipt. A model only steps in when a plain rule genuinely can’t.
Teal is a rule, amber is a model, and we reach for teal first.
The busywork
The work nobody should be doing by hand.
Repeatable, low-effort work that eats hours and needs neither a human nor a model to run.
Data & records
Data synced between tools
Kept current both ways, without copy-paste or a nightly export.
Records that update themselves
Lifecycle stages, owners, and fields that change when they should.
Dedup & data-hygiene jobs
Running in the background, every week.
Leads & lifecycle
Leads routed and assigned
To the right person in seconds, by your rules - so leads stop falling through the cracks.
Onboarding & nurture sequences
Triggered and tracked, then handed off cleanly.
Alerts & handoffs
The right people pinged when something needs them.
Money & numbers
Billing & invoice reconciliation
Matched and flagged automatically, no eyeballing line by line.
Reporting that refreshes itself
Built once, fed automatically - no Monday-morning export.
Built in n8n, native CRM automation, and the integrations between your tools.
The difference
Automation isn’t AI. We keep them apart.
Two tools for two different jobs. Most of the work is the first kind, and it runs cheaper and more reliably when you don’t force a model into it.
Automation
this page
- Deterministic rules - same input, same output
- Cheap to run - no per-use cost, no tokens
- Predictable, and it doesn’t get tired
- Replaces manual work and expensive off-the-shelf tools
AI Build
the other page
- Production AI, built into your CRM
- For messy text and real judgment calls
- Only when a plain rule genuinely can’t
- Reasoning where a rule would fall over
We reach for a rule first. A model only when the rule can’t do the job - and only if it’s worth the cost. See AI Build →
Responsible AI
When we do use AI, it has to earn its keep.
Every model call costs tokens. Most of them don’t need to happen.
AI only where it beats a rule
If a plain rule does it faster and cheaper, the rule wins every time.
Token spend is a design constraint
We batch, cache, and use the cheapest model that does the job. We don’t burn tokens to look clever.
A human signs off
AI does the work; people keep the judgement.
Nothing writes unverified
The source of truth stays clean. No slop into your CRM.
No black box
You can see and override every decision the model makes.
How it works
Three steps.
Find the busywork, build it out, and keep it honest - no black box handed over at the end.
Map
We find the busywork: what’s repeatable, and what it costs you in hours. Usually part of the audit.
Build
We build the automations in your stack - AI only where it earns it. Documented, and owned by you.
Govern
They run in the background and get checked. When your process changes, we adjust. No black box left behind.
Questions
Automation, answered.
What's the difference between automation and AI?
Automation runs a fixed rule: same input, same output, no model, no per-use cost. AI uses a model to handle messy text or a judgment call a rule can’t make. Most business "automation" needs the first kind - AI is the exception, not the default.
Do I actually need AI for this?
Usually not. Most of the wins - syncing data, routing leads, updating records, running sequences - are deterministic and need no model. We only add AI where a plain rule genuinely can’t do the job and it’s worth the token cost.
How do you keep AI costs down?
We treat token spend as a design constraint: use a rule wherever one works, batch and cache calls, and pick the cheapest model that does the job. If a model call doesn’t earn its cost, it doesn’t ship.
What tools do you build in?
n8n for orchestration, native CRM automation (HubSpot, Salesforce), and direct integrations between your systems. Tool-agnostic - built around how you work, not around one vendor.
Is automation reliable?
Deterministic automation is more reliable than a person doing the same task - it does the same thing every time and doesn’t get tired. We add validation and alerts so failures surface instead of hiding.
Read more
On automation, in plain English.
The line between a rule and a model - and where the money leaks when you get it wrong.
Automation isn’t AI. Knowing the difference is worth real money.
Read article ↗ AI & AutomationYour CRM already has AI. That’s not the same as needing it.
Read article ↗ CRM & DataYour scale-up doesn’t have a lead problem. It has a systems problem.
Read article ↗Get in touch
Find the hours you’re losing to busywork.
Tell us what your team still does by hand. We’ll tell you what a rule can take off their plate.
- A read on what’s repeatable, and what it costs you in hours
- Which tasks are a rule, and which genuinely need a model
- Built in your stack - n8n, native CRM automation, integrations
- Documented, and owned by you. No black box left behind.
Deterministic where it can be. AI where it has to be.