Use cases

Systems designed around real operational problems.

Explore how Gradia combines AI, automation, integrations, and custom software to turn fragmented processes into reliable working systems.

Selected systems, not the limit of Gradia's capability. The same approach can be applied across operations, content, data, internal tools, and technical workflows.

01

AI Lead Intelligence

Problem

Sales teams begin discovery calls with limited context about the prospect, company, and potential opportunity.

System

The system researches the company, analyzes the inquiry, generates a structured discovery brief, enriches the CRM, and delivers the relevant context to the sales team.

  1. New inquiry
  2. Company research
  3. AI opportunity brief
  4. Sales-ready context
02

Deal-to-Delivery Orchestration

Problem

Project teams manually recreate discovery preparation, project structures, tasks, and delivery handoffs as deals move through the sales pipeline.

System

The system reacts to CRM stage changes, prepares service-specific discovery requirements, and creates the right ClickUp delivery structure once the deal is won.

  1. Discovery scheduled
  2. Discovery preparation
  3. Deal won
  4. Delivery structure
03

AI Client Onboarding

Problem

Project teams begin onboarding with incomplete requirements and spend hours creating questionnaires, chasing missing answers, and turning fragmented information into a usable project brief.

System

The system reads unresolved project requirements, generates a tailored client form, delivers it, analyzes the responses, resolves satisfied checklist items, assesses readiness, and prepares a structured summary for the delivery team.

  1. Missing requirements
  2. AI-generated client form
  3. Response analysis
  4. Readiness update

Start with the problem

Have a different operational problem?

Gradia systems are designed around the real process, tools, data, and constraints of each business.