Building companies · Applied AI

Building companies-grade AI lead reactivation, shipped by people who've done it before.

Every building company business we've worked with has a different definition of "broken". AI lead reactivation only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.

What AI lead reactivation actually does

Your CRM is sitting on a graveyard of old leads that went quiet. An AI reactivation agent works through them at scale – researches what's changed at their business, writes a relevant re-entry message, and only books a meeting when there's a real reason to reconnect.

  • 01 Scores every dormant lead by reactivation likelihood
  • 02 Detects buying-trigger events (funding, hiring, product launches)
  • 03 Personalised re-entry message referencing what's actually changed
  • 04 Reports back which leads to bin and which to call this week

Built on: Claude for research + writing Clay / Apollo for signal data HubSpot / Salesforce / Pipedrive Slack digest of warm wake-ups

On the ground with NZ building companies

The pattern across most building companies we work with.

  • Builders run multiple sites at once, and the paperwork behind each one grows faster than anyone has time to manage.
  • Variations, supplier orders, and client updates are the admin layer that determines whether a build stays on schedule.
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How we build AI lead reactivation for building companies.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a building company business, so value lands before the build is finished. Wake up cold pipeline.

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The outcome for building companies

The shape of the result for building companies: An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep. Built on Claude for research + writing, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What's the smallest engagement you'd take on?

A two-week paid discovery for building companies that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Has this actually shipped for a real building company?

Yes. An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep. We'll share comparable engagements on the call.

What tools do you build AI lead reactivation on?

For AI lead reactivation we usually reach for Claude for research + writing, Clay / Apollo for signal data, HubSpot / Salesforce / Pipedrive, Slack digest of warm wake-ups. We're tool-agnostic at heart – we pick what your building company team can actually run after we hand the build over, not what looks good on a vendor sticker.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.