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SalesMatrix AI

Intelligent sales automation

A technology pipeline that removes guesswork from the preparation stage of a negotiation. The system turns a raw contact into a developed sales strategy automatically and at scale — profiling the client, ranking which member of your team should take the call, and generating the script for that specific pairing.

+35–60%
Conversion growth
−70%
Time spent on preparation
4–8 weeks
To full deployment

Process

How the pipeline works

Four stages, from a phone number to a prepared negotiation.

  1. 01

    Deep client profiling

    From a phone number or LinkedIn profile, the system collects available data, builds a digital portrait of the client, and ranks them by priority for the sales team.

  2. 02

    Team scoring

    Every manager is assessed in advance to establish their strengths, temperament and the persuasion strategies they execute most effectively.

  3. 03

    Intelligent matching

    The algorithm pairs the client profile with the manager profile and selects the negotiator most likely to build rapport and trust with that specific client.

  4. 04

    Adaptive script generation

    Given the matched pair, the system produces a personalised conversation scenario — from opening warm-up through to close.

Scope

What you get

The matching engine is the core; everything else exists to make its output usable by a working sales floor.

Compatibility ranking

For every inbound client, a ranked list of your managers with a compatibility score and a recommended approach for first contact.

First-contact strategy

Each pairing comes with a concrete instruction — expert and numbers-led, warm and trust-building, or dynamic and innovation-led.

Works at any team size

The same mechanism runs for a team of two and a team of two hundred; ranking simply gets more selective as the roster grows.

CRM integration

Profiles, scores and scripts are written back into the CRM your team already works in, rather than a separate window nobody opens.

Analytics dashboard

Live view of which pairings convert, which scripts land, and where in the cycle deals are being lost.

Quality standardisation

An average performer executes to a top performer's playbook, because the guidance is generated per call rather than learned over years.

Pricing

Implementation cost

Priced on team size and integration surface. Implementation timeline is 4–8 weeks.

Starter

450 000 ₽

one-time

For small sales teams beginning with AI-driven preparation.

  • Up to 5 managers
  • Client profiling module
  • Basic psychometric scoring
  • Script generator (3 templates)
  • Integration with 1 CRM
  • Email support
Choose Starter

Professional

890 000 ₽

one-time

The full pipeline for growing teams, with advanced matching and analytics.

  • Up to 25 managers
  • Full profiling with data enrichment
  • Advanced compatibility matching
  • Unlimited script templates
  • Integration with up to 3 CRMs
  • Real-time analytics dashboard
  • Priority support and a dedicated manager
Choose Professional

Enterprise

Custom

For large organisations with complex sales structures and their own infrastructure.

  • Unlimited managers
  • Custom model training on your data
  • Multi-language support
  • Custom integrations (ERP, BI, CRM)
  • On-premise deployment option
  • SLA with 99.9% uptime
  • Dedicated success team
Choose Enterprise

Every package includes initial team assessment, CRM integration and data pipeline setup, model training on your sales history, manager onboarding, and 30 days of post-launch support.

FAQ

Questions we are asked before signing.

What does the system need to start?

A contact record for the client and an assessment pass over your sales team. Integration into one CRM is included from the Starter package upward.

How long does deployment take?

Four to eight weeks depending on team size and how many systems need integrating. That covers team assessment, CRM wiring, model training on your history, and manager onboarding.

Does it replace our sales managers?

No. It changes which manager takes which client and what they say in the first ten minutes. The intended effect is that an average performer works from a top performer's preparation.

What happens to our data?

It stays inside your CRM and your contour. Enterprise deployments can run entirely on-premise if your compliance position requires it.

How do you measure whether it worked?

Against your own baseline: conversion by manager before and after, preparation time per deal, and close rate by pairing. All of it is visible in the analytics dashboard rather than asserted in a report.