AI lead generation systems. No enquiry goes cold.
For businesses already running marketing, where the leads arrive and then leak. We build the AI layer that catches every enquiry, qualifies it, follows it up and answers out of hours, so the spend you already make actually converts. Built around your process, not a template.
Not a chatbot. A lead engine.
Built around the way leads actually reach you, run by your team, improved every month.
Workflow mapping
We sit in your operation first. The automation plan comes from where your hours actually go, not from a template.
Agent & pipeline builds
AI agents for the repeatable work: lead enrichment and follow-up, reporting, content drafts, QA checks, data entry.
System integrations
Wired into the tools you already run: CRM, email, Slack, sheets, ad platforms, storefronts.
Human-in-the-loop design
Automation drafts, your people approve. Judgment stays human; the typing does not.
Team training
Your team learns to run and extend the system. The goal is capability, not dependency.
Monthly iteration
The retainer covers monitoring, fixes, and new automations as the operation evolves.
Judgment stays human. The typing does not.
Four kinds of work that nobody should still be doing by hand.
None of it is hard. All of it is repeatable, and repeatable work is exactly what quietly consumes a team's week.
- 01
Lead handling
Enriching a new lead, checking whether it fits, drafting the first reply. Twenty minutes each, several times a day, done slightly differently by whoever picks it up.
Enriched and drafted - 02
Reporting
Pulling the same numbers from the same four platforms into the same layout, monthly, for every account. The work is real; the thinking is in the commentary, not the assembly.
Assembled automatically - 03
Content ops
Briefs, first drafts, variants, formatting for each channel. A draft is a starting point a machine can produce; an edit is where the person adds value.
Drafted, then edited - 04
QA and data entry
Checking that the thing that should have happened happened, and copying values between systems that do not talk. Pure overhead, invisible until it fails.
Checked every run
If the math does not work, we say so in the first call.
Mapped to running.
Biggest hourly payback first, always.
Map
A working session on where the hours go. Output: the automation plan with honest effort-to-impact calls.
The planBuild
The workflows with the biggest hourly payback first. Working automations in weeks, staged into daily use.
WeeksTrain
Your team runs the system with us alongside. Documentation that humans actually read.
CapabilityIterate
Monthly cycles: measure, fix, extend. The system compounds like everything else we build.
Monthly
The repeatable work, not the judgment.
A partial list from builds we have run. Yours comes out of the mapping session, not this grid.
Lead enrichment & follow-up
New lead in, research and draft reply out, sitting in a queue for a human to approve.
Reporting pipelines
Platform data assembled into the report layout, leaving only the commentary to write.
Content drafts
Briefs to first drafts to per-channel variants, with the edit staying human.
QA checks
Automated verification that the thing that should have happened actually happened.
System sync
Values moved between tools that do not talk to each other, without anyone retyping them.
Exception alerts
The team hears about the thing that broke, instead of finding it a week later.
We built it for ourselves first.
This is not a product we resell. It is the engine our own agency runs on.
Your accounts
Your systems, your data, least-access design, every connection documented.
Vendor lock-in
You buy outcomes and a working system, not a specific logo in the stack.
Mapping session first
The plan comes from where your hours go. Nothing is built off a template.
Iteration included
Monitoring, fixes and new automations as the operation evolves.
Hours are the only thing you cannot buy more of.
One call, your workflows on the table, an honest read on what automation would return. If it is not worth it, we say so.
A chatbot versus an operations layer.
Both get called AI. Only one changes how the week runs.
It pairs with everything.
The automation layer makes every other engagement faster and cheaper to run:
Or do it yourself.
The same system, documented and free. Take the free AI Marketing Assistant and run it in-house. Nothing attached, and nothing expires if you never come back.
Setup covers mapping and the initial builds. The retainer covers running, fixing, and extending the system. If the math does not clearly work for your operation, we say so in the first call.
Book the workflow call →Straight answers.
The four we get asked before every build.
01Is this for every business?
No. It earns its price where repeatable knowledge work eats real hours: agencies, e-commerce teams, service operations. If your volume does not justify it, we tell you in the first call and part as friends.
02Which AI tools do you use?
Whatever the workflow needs: LLM agents, scrapers, integrations across the tools you already pay for. You are buying outcomes and a working system, not a specific logo.
03What about our data?
Your systems, your accounts, your data. We design for least access, document every connection, and you can revoke everything the day we stop working together.
04Why is this a warm offer only?
Because it works best for businesses that already know how we operate. Most automation clients started as management or consulting clients who saw the engine from the inside and asked for it.
Still deciding?
Ask us directlyPut your workflows on the table.
Fill this in and you go straight to the booking page. We keep your details either way, so nothing is lost if the calendar does not suit.
Hours are the only thing you cannot buy more of.
One call, your workflows on the table, an honest read on what automation would return. If it is not worth it, we say so.