AI lead scoring to aim your sales effort right, in Toronto.
Your salespeople spend too much time on cold leads and miss the hot ones. AI lead scoring scores, prioritizes and routes every inquiry automatically, so the effort goes where it converts, for businesses in Toronto and across the GTA.
Not all leads are equal. Treating them the same means losing some.
When every lead lands in the same queue, salespeople work in order, on gut feel or first come first served. Meanwhile a very hot lead waits while someone works a contact who will never sign. The sales effort goes to the wrong place, and the conversion rate pays for it.
AI scoring changes that: it evaluates each lead (profile, behaviour, signals), assigns it a score and routes it to the right treatment, automatically. Your team sees the high-potential leads first and their time goes where it returns. All of it framed, transparent and adjustable.
This expertise is part ofAI & AutomationScoring wired into your CRM, transparent and useful.
From defining the criteria to routing, every piece serves putting the right lead in front of the right person.
Criteria & scoring model
Define what makes a good lead for you (profile, budget, behaviour, source) and translate it into a readable score.
Lead enrichment
Automatically complete incoming data (company, sector, size) to score on a solid base.
Automatic scoring
Assign a score to every lead on arrival, continuously, with no data entry or manual sorting.
Prioritization
Rank leads by potential so your salespeople see and work the hottest first.
Automatic routing
Send each lead to the right salesperson, team or scenario based on its score and profile.
Transparency & tuning
An explainable score, not a black box: you see why a lead is scored that way, and adjust the rules.
Improvement loop
Compare scores against real conversions to refine the model over time and match your reality.
Four steps to scoring that serves the field.
A pragmatic method: scoring that is useful, understood and adopted by the sales team, not a gadget they ignore.
Framing & criteria
We define with you what characterizes a good lead and the available signals. We set the score's criteria, simple and explainable.
Model & connection
We build the scoring model, enrich it with data and wire it into your forms and your CRM.
Routing & tests
We put scoring, prioritization and automatic routing in place, and test on your real leads.
Follow-up & tuning
We compare scores to conversions, adjust the rules and keep the model aligned with your sales reality.
The tech we assemble to fit the need.
We pick the tool that fits your CRM and your data, not the other way around.
- AI models (Claude, OpenAI)
- Data enrichment
- CRM (HubSpot, Pipedrive, etc.)
- n8n / Make
- APIs & webhooks
- Reporting & follow-up
A sales effort that goes where it converts.
Orders of magnitude observed on our scoring systems. They vary with your lead volume and your sales cycle.
- 1.5xconversion ratehot leads worked first
- -50%time on cold leadsautomated sorting
- < 1 minto score a leadon arrival
- Explainablescoreno black box
Scoring only has value if the sales team believes in it and uses it. Our craft is transparent, fair scoring that helps them aim, not an opaque ranking they route around.
Estimate your automation potential
Free tools to quantify the time and money you can recover by automating repetitive tasks.
Automation ROI
How much time and money you recover by automating your repetitive tasks.
Use the tool TemplateTime tracking & automation ROI
Put a number on the time and money you can recover by automating your repetitive tasks, task by task.
Download Checklistautomation & processes
Spot what you can automate to save time and make your follow-up dependable: tasks, CRM, reminders, reporting, AI.
DownloadThe questions we hear most about AI lead scoring.
What's the difference between this expertise and your AI & Automation service?
The AI & Automation service is the global offer (automating business processes). The AI lead scoring expertise is the precise discipline of scoring and prioritizing leads. It sits inside the service, often alongside qualification (AI agents) and CRM routing (on the Fractional Growth & Operations side).
What's the difference with CRM lead routing?
CRM & lead routing (on the Fractional Growth & Operations side) organizes how leads move through your CRM and your teams. AI scoring supplies the score that feeds that routing: it decides the potential, the routing decides the path. The two complement each other, one upstream of the other.
Do we need a lot of data for it to be reliable?
You can start with explicit criteria (profile, source, behaviour) without a big history, then refine the model as conversions accumulate. The scoring improves with time, but it is already useful from day one.
Will my salespeople accept it?
A fair question, which is why we bet on transparency: an explainable score, clear rules adjusted with them. Adopted scoring is understood scoring. We bring them in from the framing stage so it serves the field.
Do you work with companies outside Toronto?
Yes, across all of Canada. The scoring runs on your online tools wherever you are. Our studio is in Lyon, France, and we work with Canadian companies remotely, on Eastern time.
Another question?
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