AI Sales Platform
/ scenariosbusiness scenarios

AI Sales Platform supports the deal from first contact through project handoff to implementation

At every stage of the commercial process, the platform draws on enterprise expertise, activates the right AI capabilities, and helps teams make decisions faster while maintaining consistent quality standards.

  • 7 stages of the commercial cycle
  • 6 core scenarios
  • Unified deal context
/ 02commercial cycle map

From lead to Delivery handoff — one unified workflow

Hover over any stage. The platform shows tasks, knowledge, connected AI capabilities, and the stage outcome.

stage
Lead
tasks
  • Initial request qualification
  • Industry relevance assessment
  • Deal owner assignment
knowledge
  • CRM: interaction history
  • Public company data
  • Industry registries
ai capabilities
  • Client Analyst
  • Knowledge Coordinator
stage outcome
Qualified lead with attached context.
/ 03core scenarios

Six everyday situations where team work changes

Each scenario follows a consistent structure: problem → what the platform does → business outcome.

01scenario

First meeting preparation

problem

Preparation takes several hours. Information is gathered manually from scattered sources.

what the platform does
  • Automatically builds the customer profile
  • Selects industry materials
  • Finds similar company projects
  • Prepares Discovery questions
outcome

The manager arrives at the meeting fully prepared.

02scenario

Commercial proposal preparation

problem

Every commercial proposal starts practically from scratch.

what the platform does
  • Uses corporate templates
  • Finds similar projects
  • Selects target architecture
  • Assembles the first proposal draft
outcome

Experts focus on improving the proposal, not searching for information.

03scenario

Architecture solution selection

problem

The team needs to choose the optimal architecture quickly.

what the platform does
  • Draws on accumulated company experience
  • Checks technology constraints
  • Selects best internal practices
outcome

The architect starts from the organization's best solutions.

04scenario

Tender documentation analysis

problem

Large volume of requirements. High risk of missing a critical condition.

what the platform does
  • Analyzes documentation
  • Identifies mandatory requirements
  • Builds a risk register
  • Checks response completeness
outcome

The likelihood of formal and substantive errors decreases.

05scenario

Corporate expertise search

problem

No one knows who in the company has already solved a similar challenge.

what the platform does
  • Finds projects and documents
  • Surfaces architectures and presentations
  • Identifies internal experts
  • Returns methodologies and practices
outcome

Work on the solution begins immediately instead of searching.

06scenario

Project handoff to implementation

problem

After contract signing, some knowledge and agreements are lost.

what the platform does
  • Transfers deal history
  • Transfers agreed architecture
  • Captures agreements and risks
  • Preserves accumulated context
outcome

The project starts without information loss or repeated alignment.

/ 04detailed walkthrough

What it looks like inside the platform

Select a scenario to see the step-by-step workflow. At each step, you can see which knowledge and AI capabilities are connected and what is produced.

scenario

Commercial proposal preparation

problem

Every commercial proposal starts almost from scratch. Presales gathers materials manually, and experts repeat the same work.

business outcome

The first proposal draft is assembled automatically. Experts strengthen the proposal instead of recreating it.

workflow
step 01
Customer request
knowledge
  • CRM: deal card
  • Interaction history
  • Industry profile
ai capabilities
  • Client Analyst
  • Knowledge Coordinator
materials
  • Aligned request context
/ 05what the organization gains

Measurable changes in the process, not marketing promises

Every change maps to a specific commercial operation.

01
Knowledge work
Before rollout
Repeated information search in every deal
After rollout
Reuse of corporate expertise
02
Document preparation
Before rollout
Every proposal assembled manually from scratch
After rollout
First document draft prepared automatically
03
Working practices
Before rollout
Local best practices of individual teams
After rollout
Unified corporate deal standard
04
Information transfer
Before rollout
File sharing and agreements over email
After rollout
Unified deal context in a shared workspace
05
People dependency
Before rollout
Key deals depend on individual experts
After rollout
The organization's collective intelligence drives work
/ 06demonstration

See how AI Sales Platform works on a real scenario from your company

During the demo, we walk through one of your typical processes and show how corporate expertise can be reused at every stage of deal preparation.