Salesforce MVP Hall of Fame · Certified 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.
Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE 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.