Priority process
Define one specific commercial friction point and who currently uses the process.
AI solutions for commercial processes
Four commercial problems. One clear place to start.
E2M applies AI to sales knowledge, customers and opportunities, proposals and quotes, and CRM and follow-up. The goal is not to add another tool. It is to improve a process that currently loses time, context, or continuity.
Start with one specific friction point, define which outcome a person must review, and measure whether the workflow deserves to expand.
For small and midsize companies with a real commercial process, identifiable sources, and available owners.
01Sales knowledge
02Customers and opportunities
03Proposals and quotes
04CRM and sales follow-up
Choose the priority problem
Not every company needs to start with the same process.
Each solution organizes a different commercial friction point around approved information, real users, human review, and an observable decision.
01
Sales knowledge
Turn documentation, experience, and approved content into usable commercial answers.
View solution →02Customers and opportunities
Prepare accounts, meetings, and priorities with enough context to decide the next step.
View solution →03Proposals and quotes
Accelerate the first draft without delegating prices, commitments, or final approval.
View solution →04CRM and sales follow-up
Turn conversations and commercial activity into owners, next actions, and continuity.
View solution →One shared method
The solution changes. The implementation judgment stays consistent.
E2M starts with the process, identifies sources and owners, puts a bounded workflow into operation, and reviews evidence before expanding.
Sources and boundaries
Agree which information may be used and which decisions remain human.
First workflow
Design a reviewable way of working within a bounded scope.
Evidence for a decision
Usage, issues, and an initial metric support a decision to expand, adjust, or stop.
Evidence
Case studies connected to the four commercial problems.
The case studies describe processes, sources, and boundaries. They do not promise that the same result will automatically repeat at another company.
AIM
Technical sales knowledge
Documentation prepared for contextual queries and professional validation.
View case study →SEGCustomers and opportunities
Portfolio reviews with authorized information, open items, and next steps.
View case study →A1Reviewable proposals
Complex requests organized before preparing a response.
View case study →MBCRM and continuity
Industrial opportunities organized around context and ownership.
View case study →Starting point
Commercial AI Assessment: decide which process deserves a first pilot.
We review one priority process, its users, sources, tools, risks, and an initial measure to recommend the next step.
Next step
Where does your commercial process lose the most time, context, or continuity today?
Tell us what repeats, who uses the process, and what information already exists. We will review whether the right next step is guidance, an assessment, or a first pilot.