AI Automation

CRM & Sales Automation for Australian business.

A CRM that stays clean on its own.

Keep HubSpot or Salesforce accurate without anyone maintaining it. Automated enrichment, activity logging, lead scoring and follow-up.

What you get
  • Contacts and interactions logged automatically
  • Leads scored and routed without manual triage
  • Follow-up triggered by real behaviour, not a calendar
  • Pipeline reporting from live data, not exports
What we build on
HubSpotSalesforcePipedriveEnrichment APIsCustom integrations

Your CRM is only as good as the last person who updated it

Which means, in practice, it is not good. Salespeople update the CRM when they remember, which is after the deal is won and before the forecast meeting. Everything in between is missing.

So the pipeline report is wrong, the forecast is a guess, and the follow-up that would have won the deal never happened because nobody logged the last conversation.

What we automate

  • Activity capture: emails, calls and meetings logged against the right record, automatically.
  • Enrichment: company size, industry, tech stack, appended without anyone researching.
  • Deduplication: the same company entered three ways, merged into one.
  • Scoring: based on what people actually do, not what a static form said.
  • Routing: the right lead to the right person, immediately, with context.
  • Follow-up: triggered by behaviour, with a human able to intercept.

Start internal, then go external

The order matters. Automate the data hygiene and the internal routing first. Once the CRM is genuinely accurate, then automate customer-facing follow-up. Doing it the other way round means automating outreach on top of bad data, and that is how you email the wrong person the wrong thing at scale.

What you get

A CRM that is accurate because nobody has to maintain it, not because everybody is diligent. Reporting you can act on. And a sales team that spends its time selling rather than doing data entry after hours.

What people ask us.

Our CRM data is already a mess. Do we need to clean it first?

No, cleaning it is usually part of the work. We deduplicate, normalise, and enrich as part of the build, because automating on top of bad data just produces bad outcomes faster.

Will this send emails to our customers automatically?

Only if you want it to, and we would generally advise starting with internal automation first. Automating outbound to customers before you trust the data is how you end up apologising.

Automate this in 6-8 weeks.

Book a free automation audit. We map the workflow, tell you honestly whether it is worth automating, and quote it in AUD.

  • Free 30-min audit
  • Fixed scope in AUD
  • Week-2 working build
Week 1Process mappingWe watch how the work actually happens, not how the doc says it does.
Week 2First working buildA live automation handling real data. Not a demo, not slides.
Week 6–8In productionError handling, alerting, runbooks. Handed over, documented, yours.