Sales
Scores inbound leads by likelihood to convert.
Reps often spend time on leads that never convert. An AI Agent Workflow scores inbound leads by fit, intent and engagement signals and directs their time to the prospects most likely to buy. Increases qualified pipeline by 45% and reduces wasted outreach by 60%.
45 %: Qualified pipeline increase with AI lead scoring · Forrester Lead Management 2024
Runs on the Elevon platformData Inputs (5 signals)
Scoring Engine Agent
Routing & Alert Agent
Lead Score Card
01How it works
5 signals. 2 AI agents. Score within 5 minutes of lead arrival.
The inputs go in, the agents work one after another and you get one output, saved automatically.
- 01
Data Inputs (5 signals)
The agent analyses firmographic data (size, industry, revenue), technographic signals (tech stack), behavioural engagement (pages, downloads, emails), intent data and CRM history.
- 02
Scoring Engine Agent
Combines all 5 signals into a composite score (0 to 100). Weights are learned from your historical conversions. Identifies ICP fit, buying intent and engagement level.
- 03
Routing & Alert Agent
Based on the score, routes the lead to the right rep. Hot leads (80+) get an instant alert. Warm leads (50 to 79) go into a nurture sequence. Cold leads (<50) are given lower priority.
02Return
See when it pays off.
Four inputs, one answer: what this work costs today and with the workflow.
Your inputs
Cost: €1,000 implementation + €190 / month platform fee
Result
€62,720saved in year one
110 hours of work back every month · 20.1× return on the first year's cost
Illustrative calculation. Includes €1,000 implementation and €190 / month fee. Agents' share is your assumption. Your numbers in a 30-minute call.
03Every month
What the workflow does every month.
The jobs it keeps doing after the first run, so nobody starts from zero.
Real-time lead scoring
Every new lead gets a score within 5 minutes of arrival. The agent automatically enriches profiles with firmographic and technographic data from public sources.
8 hrs/month
Hot lead alerting
When a lead hits a score of 80+, the rep gets an instant alert with context: why the lead is hot, what they engaged with and the recommended approach.
5 hrs/month
Score decay & re-scoring
The agent continuously updates scores based on new engagement. A lead that was cold a month ago may be warm today after visiting the pricing page.
4 hrs/month
Scoring model optimisation
Monthly report analysing which signals best predict conversion, model accuracy, and recommendations for weight calibration.
5 hrs/month
04Included and price
What's included
- Elevon agent configured and deployed
- CRM and marketing automation integration
- ICP definition and scoring model setup
- Historical conversion analysis
- Lead enrichment source configuration
- Alert and routing rules
- Demo run with real leads
- Team walkthrough (1 h)
One-time implementation
€1,000
One-time implementation. Full configuration + first live run. Platform fee is €190 per month.
Then €190 / month platform fee
Same fee regardless of how many use cases you run.
FAQ
Questions, answered.
The agent works from 50 leads per month. Optimal is 200+. More historical data means a more accurate scoring model.
Salesforce, HubSpot, Pipedrive, Marketo, Mailchimp and others with an API. Integration typically takes 2 to 3 days.
In pilots we achieve 75 to 85% accuracy in conversion prediction. The model improves with each month of feedback from closed deals.
For 80% of leads, yes. Reps focus only on top-scored leads and edge cases where the agent lacks sufficient data.
The agent works with business data and publicly available information.
Within 5 minutes of arrival in the CRM. Hot leads (80+) trigger an instant alert to the rep.
05More for Sales
More AI Agent Workflows for Sales.
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AI predicts pipeline close probability and revenue by period, analyzes deal stage, activity, and rep history. Improves forecast accuracy to 92%.
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Lost Deal Analysis
AI analyzes lost deals to find patterns, price, timing, competitor, objection type. Surfaces actionable insights to improve win rates by 25%.
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Cross-sell Recommendations
AI identifies upsell and cross-sell opportunities from purchase history and usage patterns, suggests next best product per account. Increases revenue per customer by 30%.
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Next step
No wasted time. No missed opportunities.
The agent scores leads so you can focus on what matters: converting.




