What you actually getA 90-day roadmap you can run on MondayOne CRM your team finally trustsForecasts built to hold within 10%Leads routed in seconds, not daysAI lead scoring that explains itselfClean data, governed every weekDocumentation and dashboards you ownSee how AI runs inside your revenue engine →What you actually getA 90-day roadmap you can run on MondayOne CRM your team finally trustsForecasts built to hold within 10%Leads routed in seconds, not daysAI lead scoring that explains itselfClean data, governed every weekDocumentation and dashboards you ownSee how AI runs inside your revenue engine →
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Automation first. AI only where it earns it.

We automate the repeatable work that quietly eats your team’s hours — data moving between systems, records updating, leads routing, sequences running. Most of it needs a rule, not a model. When a job actually 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.

The busywork

The work nobody should be doing by hand.

Repeatable, low-effort, high-drag — the tasks that quietly eat hours and need neither a human nor a model to run.

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.

Leads routed and assigned

To the right person in seconds, by your rules — not a queue.

Onboarding & nurture sequences

Triggered, tracked, and handed off cleanly.

Billing & invoice reconciliation

Matched and flagged, not eyeballed line by line.

Reporting that refreshes itself

Built once, fed automatically — no Monday-morning export.

Dedup & data-hygiene jobs

Running quietly in the background, every week.

Alerts & handoffs

The right people pinged when something actually needs them.

Built in n8n, native CRM automation, and the integrations between your tools.

The difference

Automation isn’t AI. We keep them apart.

Two different tools for two different jobs. Most of the work is the first kind — and it’s cheaper, faster, and more reliable 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, not the deciding. 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.

Same line we draw in our AI manifesto →

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, what it costs you in hours, what’s fragile. 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 quietly 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.

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.