Salesforce MVP Hall of Fame · Salesforce consulting partner since 2010
Lead scoring against your ICP
Each lead scored on the criteria you wrote down. Your code applies the weights. Sales sees why.
Salesforce consulting partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE, India and US desks
- 01Models · Claude, Gemini, OpenAI, Bedrock
- 02Agents · Agentforce, CrewAI, ADK, A2A
- 03Memory · Neo4j, Cognee, RAG
- 04Identity · IndyKite, SSO, entitlements
- 05Governance · policy, audit, human override
The stack
How we would assemble it.
The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.
The decision
The decision, drawn.
Score per ICP criterion (industry fit, size, intent) + Choice segment; code weights
Jev · Score+Choice
How well does this lead fit each ICP criterion?
- poor fit
- partial fit
- strong fit
VP Operations, 400-person logistics firm, Dubai, visited pricing twice this week.
- industry2.00
- size1.60
- intent1.80
The job
What has to be true.
Act at 0.90 confidence or higher. Below that, a person or a larger model. Set the threshold on the score. Low confidence goes to review.
The figure
Builder's figure. Not reproduced by us.
700 leads scored in 40s for $0.09 (Gojiberry)
madewithjev.com/jev-use-casesWrite your house rules into the request. When rules were left out, Jev got 5 of 24 right with high confidence (Huryn). Validate thresholds on labelled samples.
The brief
Name the decision your team makes a thousand times a day.
We read the process and write down where Jev fits, where it does not, and where the line sits.