Case 02 · CRM and sales follow-up

AI for B2B CRM and sales follow-up.

Cases where conversations, contacts, and opportunities become shared context, clear ownership, and next actions without delegating sensitive commercial decisions.

Industrial CRM
B2B pipeline
International follow-up
Human review

ContextWhat the customer needs and which information supports it.
OwnerWho must review, decide, or coordinate the next stage.
Next actionWhat must happen, when it should happen, and what information is still missing.
ControlAI prepares; the professional validates every commitment.

The challenge addressed

CRM creates value when a conversation ends with an operational decision.

Recording more notes does not guarantee continuity. A useful CRM gives the team a clear view of an account, separates confirmed information from assumptions, and identifies who should act next.

E2M role and implementation

E2M assesses the process and specifies the workflow: sources, data, roles, human review, requirements, and acceptance criteria. It can direct and supervise the pilot and govern adoption.

Technical implementation is the responsibility of client IT, existing vendors, or specialist technology partners. E2M can direct, coordinate, and validate their work. This case documents E2M’s assessment and functional design, not a completed technical implementation. For new engagements, E2M can coordinate partner-developed software, AI agents and integrations under a separately agreed scope.

AI can summarize, structure, retrieve sources, and propose updates. E2M defines how it should be used as an assisted layer: requirements prevent stage changes, opportunity scoring, or messages without the rules and approvals the process requires.

  • Conversations converted into reviewable context.
  • Proposed fields linked to a source.
  • Opportunities without an owner, date, or next action detected early.
  • Account briefings prepared before a meeting.
  • Follow-up proposed without automatic commitments.
Published cases

Companies turning sales activity into consistent follow-through.

Industry · Molds and plastic injection

Moldblade

Published case

Diagnostic and architecture of an industrial CRM system to organize technical opportunities, international activity, owners, and next actions with traceable sources and professional control.

Industrial CRM
International B2B
Pipeline
AI governance

Read the Moldblade case →

Electronic security · Lima, Peru

Intersistem Fermax

Published case

A consulting engagement to structure inquiries, technical context, ownership, and next actions for intercom and electronic security projects, using approved sources and expert review.

CRM and follow-up
Electronic security
Consulting
Human oversight

Read the Intersistem Fermax case study →

Sourcing and representation · Spain and China

N&C Halabi

Published case

Applied AI to structure bills of materials, match requirements against audited suppliers, and coordinate information, owners, and next actions between Spain and China with human decision-making.

International CRM
Sourcing
Audited suppliers
Human-controlled AI

Read the N&C Halabi case study →

E2M standard

Automate only after defining what progress means.

Before client IT or a partner connects AI to CRM, E2M defines sources, stages, exit criteria, owners, and sensitive decisions. Without that foundation, automation multiplies records rather than clarity.

What every case must preserve

  • An identifiable source for relevant data.
  • Separation between confirmed information and inferences.
  • Clear ownership and next action.
  • Human approval for commercial commitments.
  • Metrics defined before publishing results.

Next step

Does your team need to rebuild context before every follow-up?

We will review what information enters the process, where it is lost, and which decisions must remain under professional control before designing a pilot.

Check Fit →Explore the Diagnostic →