Automated Lead Qualification
Enquiries come in from your website, email, ads and phone calls. AI reads each one, checks it against what makes a good fit for you, fills in the gaps, updates your CRM and routes it to the right salesperson with a short summary. Your team spends its time on the leads that can become customers.
For sales and client-intake teams in service businesses. Works with the CRM you already use.
A common starting point within business process automation. Qualification is the first step from lead to customer, and we can automate the follow-ups and onboarding after it too.
Lead, qualified
Anything unusual goes to your team to review first.
Good leads go cold while your team sorts through the rest.
We use your definition of a good lead, not a generic score.
Every enquiry is collected in one place, whether it came from a website form, an email, a chat, an ad or a call note.
AI reads the enquiry and works out what the person needs, even when they describe it in their own words.
It fills in the gaps from your records and public information: the company, its size, and whether they're already a customer.
The lead is checked against your criteria and scored, with the reasons written down so your team can see why.
Good leads go to the right salesperson with a short summary and a suggested next step, following your routing rules.
The first reply or booking link goes out quickly, reminders are scheduled, and leads that aren't a fit get a polite answer.
Our process: Audit → Identify → Build → Integrate → Improve. How we work
Most CRMs can add points for a job title or a page visit. That tells you who is active, not who is a good fit.
| Points-based lead scoring | AI lead qualification | |
|---|---|---|
| Reads what the person actually wrote | No | Yes |
| Uses your own fit criteria | Only as fixed points | Yes, including the judgment calls |
| Fills in missing company details | No | Researches them |
| Explains the decision | A number | A short written reason |
| Handles enquiries from email and calls | Usually forms only | Every channel |
| Keeping it accurate | Manual re-weighting | Tuned with your team's feedback |
When the AI isn't confident, or the stakes are high, the item goes to a person to check before anything is posted.
We add validation checks (totals, formats, duplicates, matching against your records) on top of the AI.
Every automated action is logged: what came in, what was extracted, what changed, and who approved it.
We sign an NDA before we see your data, access is limited to what the automation needs, and we never use your data to train AI models.
Automation qualifies and prioritizes. Nothing is turned away without rules you've approved, and borderline leads always go to a person.
We connect automation directly to your existing software, so your team keeps working the way they do now.
No API? No problem. If your software can be reached, we can usually connect to it, and if it can't, we'll tell you before you spend anything.
Works with
Illustrative example
A consultancy gets a steady stream of enquiries through its website and inbox. A partner reads each one, looks up the company and forwards it to whoever seems right. Some enquiries wait days for a reply, and many discovery calls turn out to be with people who were never a fit.
Each enquiry is read on arrival, the company is looked up, and the lead is checked against the firm's own criteria. Good fits are added to the CRM, routed to the right partner with a two-line summary, and sent a booking link straight away. Enquiries that aren't a fit get a helpful reply, and the partners spend their time on the calls worth having.
Professional services · Australia
Automated lead qualification uses software, and increasingly AI, to decide which enquiries are worth your sales team's time. It reads each enquiry, checks it against your criteria, fills in missing details, scores it and routes it to the right person, so good leads get a fast response.
Lead scoring adds points for things like job titles or page visits. AI lead qualification reads what the person actually wrote, checks it against your definition of a good fit, and explains its decision in plain words. Many teams use both.
Partly. Lead management automation covers the whole path from enquiry to customer. We usually start with qualification and lead routing automation, then automate follow-ups, CRM updates and client onboarding once that works.
Only if you want them to be, under rules you approve. By default, borderline leads go to a person, and every decision is logged with its reason.
Most likely. We connect to common CRMs such as HubSpot, Salesforce, Pipedrive and Zoho, and to website forms, email and booking tools. We'll confirm what's reliable for your setup during the assessment.
No. We build and connect the automation around the CRM and tools you already use. You don't have to choose, configure or maintain a new platform.
Tell us where your enquiries come from and what makes a good fit. We'll show you how much of the sorting AI can take on.
Find What You Can AutomateFree assessment. No commitment. If something isn't worth automating, we'll say so.
