See it on video
A step-by-step walk through the module — the same screens this write-up describes.
What is in the recording
- 0:00No more manual research and pipeline chaos
- 0:17Central prospecting module and precise search
- 1:06AI segmentation and automatic backlog prioritization
- 1:31Lightning-fast company profile enrichment
- 2:02Knowledge base ensuring consistent communication
- 2:39AI reporting for the sales director and summary
The Challenge
Prospecting automation and AI prioritization free up the sales team's time, allowing them to focus exclusively on conversations and closing deals.
How many hours a week does your team lose to manually reviewing companies and qualifying leads? See the story of a company where manual research was eating up half the workweek — and today the entire process is handled by artificial intelligence. The sales team used to start Monday in chaos. A full pipeline and a long list of inquiries meant hours of manually verifying every contact. Today, that same dashboard greets them with organized data, and sales reps can focus exclusively on conversations and building business relationships. Chapters: 0:00 No more manual research and pipeline chaos 0:17 Central prospecting module and precise search 1:06 AI segmentation and automatic backlog prioritization 1:31 Lightning-fast company profile enrichment 2:02 Knowledge base ensuring consistent communication 2:39 AI reporting for the sales director and summary
The Solution Process
The video presents a comprehensive overview of the Prospecting module within the ProcessApp platform. The user walks through the key functionalities, starting from the general sales dashboard, through company search, automatic AI segmentation and prioritization, all the way to the data enrichment process. The demonstration also covers knowledge base management (phrases, AI templates, cities) and concludes with a presentation of advanced AI-generated reports that deliver ready-made sales insights and recommendations.
Actions Taken
Sales Dashboard
The sales team used to start Monday in chaos. A full pipeline and a long list of inquiries meant hours of manually verifying every contact. Today, that same dashboard greets them with organized data.
Navigating to Prospecting
Instead of getting lost in spreadsheets, the sales rep opens one central prospecting module. They immediately see a list of priority tasks and freshly enriched company profiles. Switching to analytics gives them a complete picture of the situation. Clear activity charts and a data pipeline prove that the process finally runs smoothly, and the team has regained full control over the pipeline.
Company Search
Research used to mean tedious clicking through pages. Now the company sets parameters in the system. The sales rep browses results and history, checking inquiry details in dedicated windows. They see schedules and analysis. This eliminates manual data copying. The team has facts at their fingertips, which shortens preparation time before contacting a client.
AI Segmentation
The biggest change is prioritization. Previously, the sales rep had to guess who to call. Today, artificial intelligence organizes the backlog, and priority analysis along with operation history are available with a single click. The system decides who the best lead is, allowing the team to focus on conversations.
Data Enrichment
Now the company enrichment process happens automatically, and the sales rep browses the stages and operation history. Opening the report, they see complete, automatically populated profiles for multiple companies. Automation settings keep the data fresh, so the team no longer wastes time on verification and has ready material for negotiations.
Knowledge Base Management
Inconsistent messaging used to generate errors and misunderstandings. Today the company relies on structured knowledge bases. The sales rep moves freely between the phrase library, AI prompt templates, and the city list. They browse records and entry details, confident they are using approved standards. Finally, they open a specific company card that is perfectly prepared. This order eliminates repetitive mistakes, and the employee can immediately build a valuable relationship with the client.
AI Reporting
At the end of the day, the director returns to the main dashboard. The AI reports tab serves up a ready-made insights table on a silver platter. They expand the detailed report and see recommendations and an action plan. They reclaim hours that used to be spent in Excel.
Screens from the deployment
