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AI Automation
Most leads are not lost to competitors. They are lost to delay. Automation closes the gap between someone raising their hand and someone responding, and it takes the reporting work off your team entirely. We build workflows that are boring in the best way: they run, they log what they did, and they hand a human the conversations that actually need one.
What's included
Automation should remove admin, not add a system nobody understands.
Automation is worth doing where a task is repetitive, rule-based and currently done by someone whose time is worth more. It is worth avoiding where the task requires judgement, where the rules change often, or where being wrong occasionally is expensive. Most disappointing automation projects fail that second test rather than the technology.
So we start by mapping what actually consumes time, then automate in order of hours returned against risk of breaking. That usually means the unglamorous things first — routing, data entry, report assembly, follow-up that currently depends on someone remembering. The impressive-sounding projects tend to come later, if at all, because they are rarely where the recoverable hours are.
01 Marketing Automation
The follow-up that should happen every time, happening every time. Leads routed to the right person instantly, with sequences that stop the moment a real conversation starts.
- Lead routing and instant first response
- Email and WhatsApp follow-up sequences
- CRM hygiene, deduplication and field consistency
- Clear rules for handing off to a human
02 AI Lead Qualification
Not every enquiry deserves the same response speed. We score and qualify against your ICP so your team spends its hours on the conversations most likely to close.
- Conversational qualification on your site
- Scoring against your defined ICP
- Enrichment from publicly available data
- Escalation routing to the right owner
03 Reporting Pipelines
One place where the numbers agree. We pull ad platforms and CRM into a single dashboard and write down what each metric means, so nobody argues about whose figure is right.
- One dashboard across ad platforms and CRM
- Automated weekly and monthly reports
- Alerts on spend and performance anomalies
- Documented metric definitions
How we run it
We map what you do now before automating it. Automating a broken process just breaks it faster.
Everything automated stays observable. A process that runs silently until it fails silently is worse than the manual version it replaced, because nobody notices for a fortnight.
Map the current workflow
Exactly what happens today between an enquiry arriving and someone responding, including the manual steps.
Design the automation
What gets automated, what stays human, and where the handoff sits. Agreed before anything is built.
Build and test
Workflows built and run against real scenarios, including the failure cases, before they touch live leads.
Monitor and refine
Ongoing monitoring so a silent failure does not quietly cost you a month of enquiries.
What you get
Every workflow is documented, so it stays maintainable long after handover.
- Documented map of your current workflow
- Built and tested automation workflows
- Lead scoring and routing rules
- Unified reporting dashboard
- Written documentation for your team
- Monitoring and failure alerting
Specialisms
Three areas where automation reliably returns more than it costs to build and maintain.
Workflows that run reliably, stay observable, and free up the hours you are currently losing to admin.
Explore Marketing Automation →
Sort and enrich inbound enquiries so sales time goes to the ones worth having.
Explore AI Lead Qualification →
One reconciled view of performance, assembled automatically and agreeing with your accounts.
Explore Reporting Dashboards →
Common questions
The questions we are asked most often before an engagement starts.
Will AI automation replace people on our team?
In our experience it changes what they spend time on rather than removing roles. The tasks worth automating are the ones people dislike — copying data between systems, assembling the same report weekly, chasing routine follow-ups. Where a client’s actual goal is headcount reduction we would rather say plainly that automation is an unreliable way to achieve it than take the project on a premise we do not believe.
What does this cost to run every month?
It depends on volume and the tools involved, and we quantify it before building rather than after. Automation platforms usually charge per task or per record, and costs that look trivial in testing can scale awkwardly. If the running cost exceeds the value of the hours saved, we will tell you and recommend not building it.
What happens when an automation breaks?
It should be noticed within minutes, not weeks. Everything we build has error handling, alerting to a real person, and a defined fallback — usually reverting to the manual process rather than failing silently. Silent failure is the main risk of automation and the thing most implementations do not account for.
Do we need to change our existing tools?
Usually not. Most business software has an API or a supported integration path, and working with what you have is cheaper than a migration. Where a tool genuinely cannot integrate we will say so, but replacing a working system purely to enable automation rarely justifies the disruption.
Is our data safe if we use AI tools?
It depends entirely on which tools and how they are configured, and it is worth being precise about. We use providers with business terms that exclude your data from model training, keep personal data out of prompts where it is not required, and document what goes where. Where a workflow would send sensitive data to a third party unnecessarily, we design around it.
How do we know the automation is actually working?
Because we measure it against the baseline we recorded before building. Hours spent on the task before and after, error rates before and after, and the running cost. Automation projects that are never measured tend to accumulate quietly until nobody is sure which ones still matter.
Tell us where growth is stalling
A discovery call, not a pitch. We will tell you where we think the gap actually is, and whether we are the right people to close it.