Business AIHome servicesIllustrative example

Use AI to Find and Score New Leads

The short answer

An AI assistant scores every new inquiry against what a good customer looks like for your business, and can scan public sources you approve for new prospects that fit. It hands your team a short, ranked list each morning with the reason behind each score. A person decides who to contact and does the reaching out.

The problem

For a lot of service businesses, leads come in from five places at once: website forms, emails, phone messages, referral texts, maybe a directory listing. They all look the same in the inbox. The small kitchen remodel that’s an hour away gets the same attention as the commercial client next door, and whoever answers first is usually whoever has a free minute.

Meanwhile, the owner knows there are good prospects out there (new buildings, new businesses, people who just bought a house) but nobody has time to go looking. So the business waits for the phone to ring and works the leads in whatever order they arrived.

How it works

  1. We sit down with you and write out what a good customer looks like: service area, job size, type of work, timing, and the red flags you’ve learned the hard way.
  2. Every new inquiry is read by the assistant, matched against those rules, and given a score with a short, plain explanation.
  3. If you want, it also runs a daily scan of public sources you’ve approved and pulls in new prospects that match.
  4. Each morning your team gets one ranked list in Slack or email: who to call first, why, and any missing info worth asking about.
  5. For the top leads, it can draft a first reply or outreach note that a person edits and sends.

Human checkpoints

On purpose, the AI only ranks and suggests; people decide and act.

  • People choose who to contact. A score is a guess. Your team knows things the data doesn’t.
  • People send every message. First impressions with a customer shouldn’t come from a machine acting alone.
  • You approve the sources and the rules. If a source or rule changes, you sign off first.

Some teams later let the AI route inbound leads into the CRM, with a person approving. Outreach stays human.

What it doesn’t do

It can’t make a weak lead source strong. If almost nobody is inquiring, ranking a tiny list won’t help much, and your website or marketing is the better place to start. It won’t contact anyone on its own, and it won’t use data you’re not allowed to use. Scoring also takes some tuning; the first few weeks will include misses you’ll need to point out.

Illustrative outcome

Think of a roofing company where the office manager used to work the inbox top to bottom. Now she opens one list each morning, calls the three jobs that fit best before lunch, and handles the rest when there’s time. The good jobs stop waiting behind the tire kickers.

Questions people ask

Where does it find new leads?

From your own inbound sources first (forms, emails, booking requests), and from public sources you approve, like new business filings, permit records or industry directories. We don't scrape sites that forbid it or buy shady lists.

How does it know what a good lead looks like?

We build the scoring rules with you, from your past best and worst customers. The AI applies those rules and explains its reasoning, so you can see why a lead scored high or low.

Will it email or call leads on its own?

No. It can draft a first message for a person to review and send, but it doesn't contact anyone by itself.

What if it scores a great lead low?

Every lead still shows up in the list, just lower. When your team spots a miss, we adjust the rules.

Want this in your business?

Tell us the chore. We'll tell you honestly if it's worth automating, and what it would take.

No credit card. No pitch deck. Built in Indianapolis.