AI Sales Platform
/ architecturearchitecture

Architecture that integrates knowledge, not applications

AI Sales Platform integrates with existing corporate systems and forms a unified intelligent context for preparing and supporting complex sales.

  • An intelligence layer above systems
  • Private LLMs within your perimeter
  • No replacement of existing solutions
/ 01architecture core

How corporate systems and knowledge become ready-to-use results

AI Sales Platform combines corporate systems, knowledge, and an intelligence core into a single environment that produces ready artifacts for complex B2B Deals.

key artifacts
  • Proposal
  • Architecture
  • Presentation
  • Discovery
  • Risk analysis
  • Meeting plan
  • Delivery handover
  • TCO and ROI
  • RFI and RFP
/ 02knowledge flow

From individual expertise and thousands of files to a shared knowledge graph of the company

The platform does not work with files — it works with knowledge. Each step turns fragmented data into a scalable result.

01
Corporate systems
02
Knowledge extraction
03
Normalization
04
Quality validation
05
Knowledge Graph
06
Deal context
07
AI capabilities
08
Recommendations
09
Ready solution

Between a knowledge source and a solution, there are always specific steps: extraction, normalization, validation, and linking. This is what turns a set of documents into a unique business asset.

/ 03sources

Corporate expertise as a manageable asset, not a collection of folders and files

Choose a source below to see what valuable knowledge it can provide, where it can be used, and which AI Skills can use it.

source categories
01

What knowledge the source provides

  • Policies and standards
  • Methodological materials
  • Internal analytics
02

Where knowledge is used

  • Discovery sessions
  • Commercial-proposal preparation
  • Architecture alignment
03

Which AI capabilities use it

  • Analyst
  • Proposal Author
  • Manager Assistant
/ 04intelligence core

Five levels of the intelligence core that produce the result

Each level has its own area of responsibility — from knowledge indexing to a completed business artifact.

five levels of the intelligence core
core logicknowledge → context → model → orchestration → result
intelligence core level

Knowledge indexing

01

A shared index across all corporate sources — from documents to delivered projects.

Entity extraction, relationship building, and versioning. Streaming updates without moving data from source systems.

level output
  • Knowledge Graph
  • Vector index
  • Entity relationships
level1 / 5
/ 05ai capabilities

How AI capabilities work together

A task is rarely solved by one capability. Choose a task to see which AI experts join, in what order, and what knowledge they use.

select a task
AI capabilities
  1. 01AI SDR
  2. 02AI Assistant
  3. 03AI Analyst
  4. 04AI Team Lead
corporate expertise
  • ICP and target-customer criteria
  • Public sources and industry registries
  • CRM: contacts and interaction history
  • Product portfolio and target solutions
  • Need signals and company changes
result
A prioritized list of target leads with ICP-fit rationale
/ 06integrations

The platform uses your organization’s existing business systems вашей организации

No replacement of existing solutions — the platform sits above corporate systems and works with their data in a unified flow.

Data does not have to be moved to a separate store. The platform can integrate with different sources and use only authorized context.

/ 07security

Commercial information and sensitive organization data stay inside

Private LLMs, inherited access rights, complete traceability, and auditing of every request.

/ 08scaling

The platform grows with the organization

The architecture enables independent component scaling, incremental growth of the knowledge base, and modular connection of new AI capabilities.

next step

Let’s review AI process implementation using your example

We will show how the platform fits over your systems, what data it uses, and how it ensures security at every step.