Speaking twice at Dreamforce · Sept 15-17 →

Salesforce MVP Hall of Fame · Certified Partner since 2010

Outreach message fit

Each draft checked against the prospect before it goes out. Mismatches come back, not sent.

Get the written assessment

Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks

All 100 decisions
  1. 01Models · Claude, Gemini, OpenAI, Bedrock
  2. 02Agents · Agentforce, CrewAI, ADK, A2A
  3. 03Memory · Neo4j, Cognee, RAG
  4. 04Identity · IndyKite, SSO, entitlements
  5. 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 predicted reply likelihood + Noul 'message mismatches prospect' before send

Jev · Score+Noul

Does this message fit this prospect?

  • fits
  • mismatch

Prospect: CFO, manufacturing. Draft opens with a developer-tools case study.

Noul · mismatch 0.89

Score+Noul · about $0.0294 per 1,000 decisions, estimated

The job

What has to be true.

Set the threshold on the score. Low confidence goes to review. Act at 0.85 or higher. Block at 0.15 or lower. Between 0.35 and 0.65, a person decides.

The figure

Builder's figure. Not reproduced by us.

Measured build (self-reported)

Detected lead-message mismatches across 700 leads

apimodels.app/jev-use-cases

Write 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.

Where are you?

Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks

All 100 decisions