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AI Engineer for B2B Sales
AI for complex B2B sales

AI Engineer for B2B sales

In complex B2B sales, the manager loses not because of the lack of a script, but because of the lack of context: technical limitations, previous CPs, prices, analogues, guarantees, delivery, installation, margin, risks and the next step. AI Engineer helps bring this together into one working system.

Short

What exactly do you get?

The first effect is usually seen in speed of response, quality of qualification, less dependence on one experienced engineer and better control of the funnel.

Who suits?

  • B2B sales departments of equipment, energy systems, engineering and service
  • Teams of long cycles of transactions and a large number of technical clarifications
  • Owners who want to standardize the quality of KP and follow-up
  • Presales teams that need quick access to the technical base
Deliverables

Commercial results without unnecessary theory

AI-qualification of the lead and a list of clarifying questions

Generation of CP drafts, email and follow-up

Search by previous projects, prices, catalogs and guarantees

Tips for the next best action in CRM

Control of completeness of the application before transfer to the engineer

Analysis of the causes of losses and delays in the funnel

Process

How to launch

01

Analysis of the funnel and typical requests

02

Preparation of knowledge base and answer templates

03

AI-copilot in CRM or a separate work interface

04

Team training and quality control of results

Input data to start

Description of the business objective and process owner
Examples of real applications or tasks
Available documents, tables, CRM/ERP export
Security restrictions, SLAs, roles and accesses
FAQ

Questions before starting

Do you need a CRM?

Preferably, but not necessarily at the first stage. MVP can be built around tables, mail, forms and documentation, and then integrated of CRM.

Will AI write to customers automatically?

We recommend human-in-the-loop: AI prepares the draft, the manager checks and sends. Full automation should be introduced only for low-risk scenarios.

How to control the quality of answers?

Through sources, templates, restrictions, fact-checking, journaling and regular review of answers on real cases.

Is it possible to calculate the margin and the complete set?

Yes, if there are pricing rules, available prices, discount logic and a responsible owner of the final commercial policy.

Do you need an engineering plan for your task?

Submit a brief description of the process, facility, or equipment list. Let's answer what data is needed for the first technical brief.