Opening enterprise data risked uncontrolled tool sprawl. Now, a tiered platform empowers staff to safely build their own AI tools.
A global telecommunications leader with tens of thousands of employees is driving an enterprise-wide transformation to integrate artificial intelligence into the daily workflows of every department, from engineering to human resources.
Leadership needed to safely open up enterprise data without slowing innovation or risking uncontrolled tool sprawl. Building a global knowledge...
Telecommunications infrastructure and services provider for global network operators.
AI-powered enterprise search and assistant platform for workplace knowledge.
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Committing to one model was risky. A gateway now routes 100k staff to 40+ AI tools via chat, saving 500k hours.
Neurodiverse staff required up to four peer reviews per report. Using AI dictation and prompting, they now draft and refine independently.
Neurodiverse staff required up to four peer reviews per report. Using AI dictation and prompting, they now draft and refine independently.
"Shadow AI" posed security risks. BBVA moved 11,000 staff to a governed platform where they built 20,000 custom workflow assistants.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Opening enterprise data risked uncontrolled tool sprawl. Now, a tiered platform empowers staff to safely build their own AI tools.
A global telecommunications leader with tens of thousands of employees is driving an enterprise-wide transformation to integrate artificial intelligence into the daily workflows of every department, from engineering to human resources.
Leadership needed to safely open up enterprise data without slowing innovation or risking uncontrolled tool sprawl. Building a global knowledge...
Telecommunications infrastructure and services provider for global network operators.
AI-powered enterprise search and assistant platform for workplace knowledge.
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Committing to one model was risky. A gateway now routes 100k staff to 40+ AI tools via chat, saving 500k hours.
Neurodiverse staff required up to four peer reviews per report. Using AI dictation and prompting, they now draft and refine independently.
Neurodiverse staff required up to four peer reviews per report. Using AI dictation and prompting, they now draft and refine independently.
"Shadow AI" posed security risks. BBVA moved 11,000 staff to a governed platform where they built 20,000 custom workflow assistants.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.