Building an Agentic Workforce: What We've Learned from 30,000 AI Agents
ProsusProsus is building an agentic workforce across the group, with over 26,000 AI agents built as of December 2025 toward a target of 30,000 by end of March. At portfolio company iFood (Brazil), a Restaurant Account Executive Agent used daily by over 200 associates automates restaurant performance reporting, performing manual work equivalent to 40 full-time employees. A Data Analyst Agent lets employees query data in natural language without technical expertise. Prosus shifted from abstract workshops to hands-on sessions embedding the AI team into functions like communications, HR, sales, finance and legal to drive adoption, and tied agent creation to performance reviews and bonuses. Across the group, Prosus estimates it has created the equivalent of 1,000 full-time employees in capacity.
Overview
Prosus is building an agentic workforce across the group, with over 26,000 AI agents built as of December 2025 toward a target of 30,000 by end of March. At portfolio company iFood (Brazil), a Restaurant Account Executive Agent used daily by over 200 associates automates restaurant performance reporting, performing manual work equivalent to 40 full-time employees. A Data Analyst Agent lets employees query data in natural language without technical expertise. Prosus shifted from abstract workshops to hands-on sessions embedding the AI team into functions like communications, HR, sales, finance and legal to drive adoption, and tied agent creation to performance reviews and bonuses. Across the group, Prosus estimates it has created the equivalent of 1,000 full-time employees in capacity.
The challenge
Adoption of Prosus's agent-building tools was slower than expected because most non-technical colleagues assumed that building AI agents was something engineers do, not lawyers or accountants — the primary barriers were psychological and cultural rather than technical.
The solution
Prosus is building an agentic workforce across the group, with over 26,000 AI agents built as of December 2025 toward a target of 30,000 by end of March. At portfolio company iFood (Brazil), a Restaurant Account Executive Agent used daily by over 200 associates automates restaurant performance reporting. A Data Analyst Agent lets any employee query data in natural language with no technical expertise required. Prosus shifted from abstract workshops to hands-on sessions embedding its AI team into functions like communications, HR, sales, finance and legal, co-building agents directly with employees, and tied agent creation to performance reviews and bonuses.
Reported business value
The Restaurant Account Executive Agent performs manual work equivalent to 40 full-time employees at iFood. Across the group, Prosus estimates it has created the equivalent of 1,000 full-time employees in capacity.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other technology & software entries in the register.
HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore
HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.
Building a safer and more sustainable world
Novade, a construction management software company, partnered with Databricks to modernize its analytics and ML infrastructure, moving from a homegrown Apache Airflow stack to the Databricks Data + AI Platform with Delta Lake, Unity Catalog and MLflow. The move reduced total cost of ownership by 60% and supported a 100% increase in new clients, while enabling ML models for predicting incident risk affecting worker safety and project delivery schedules.
SafeGraph optimizes geospatial data processing with Databricks and Delta Sharing
SafeGraph used the Databricks Data + AI Platform, Delta Lake, Delta Sharing and MLflow to process petabytes of geospatial data and feed predictive models, achieving 2x-10x faster spatial querying, indexing and partitioning and a 50% reduction in peak memory consumption compared to other platforms, while reducing data access time for partners from months to minutes via Delta Sharing.
Transforming Weather Forecasting with Lakeflow Jobs
AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.
AccuWeatherLakeflow Jobs · Delta Sharing · DatadogWas this helpful?
Your feedback helps us improve our use case database