AI Use Cases

Search across internal knowledge. Use AI over product documentation, knowledge bases and internal files.

Prepare better answers faster. Summarize sources and prepare responses for expert teams with less manual research.

Use outputs in real work. Support customer responses, legal research and internal expert workflows.

Start from validated knowledge. Use product information, business rules, templates and approved context.

Generate structured outputs. Create consistent, on-brand business documents ready for review or delivery.

Shorten preparation cycles. Reduce repetitive drafting and improve consistency across teams.

Connect customer context. Bring together customer data, product portfolio, pricing logic and internal know-how.

Identify relevant opportunities. Recommend product potential based on customer context and internal knowledge.

Act on real insights. Help sales and product teams focus on opportunities with higher relevance.

The ultimate goal of the business is to generate Leads. Every salesperson has their tactics and know-how, but what counts is a result that can be measured in monetary terms.

Use AI to save time and boost conversions. Leads in OmniCrane are assigned a priority index (PX), which clearly shows how far the customer is within the sales process.

Focus on what's essential to meet the quota. Thanks to sophisticated AI, salespeople get a better overview and can focus on leads that are truly ready for sales.

Connect product data and rules. Bring together product sheets, parameters, pricing rules and documentation.

Ask in natural language. Get clear answers grounded in product data and internal knowledge.

Use answers in real work. Support faster customer responses, offer preparation and product decisions.

Map repeated expert work. Identify processes that depend on manual interpretation, documents and decisions.

Build agents over enterprise data. Use AI agents, RAG, knowledge graphs, automation and APIs for real workflows.

Free teams for higher-value work. Automate reporting, risk analysis and document-heavy processing.