TELUS
Custom internal tools
Connecting systems meant months of custom coding. Now, AI bridges incompatible apps, helping engineers ship 30% faster.
- 500,000+ hours saved to date
- 40 minutes saved per AI interaction
- 30% faster code shipping
Committing to one model was risky. A gateway now routes 100k staff to 40+ AI tools via chat, saving 500k hours.
A global communications technology company with over 100,000 employees operating across telecommunications, healthcare, agriculture, and security sectors.
The organization sought to empower its massive workforce with generative AI but faced risks regarding data privacy and rapid technological...
“Getting a model as powerful as Anthropic's Claude on Vertex AI is a win-win that makes life so much easier. We get a model that excels at tool calling on a comprehensive platform that integrates with our core Google Cloud workloads like GKE and Cloud Run — that's the magic.”
Telecommunications provider of wireless, internet, TV, and digital health services.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Connecting systems meant months of custom coding. Now, AI bridges incompatible apps, helping engineers ship 30% faster.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Technicians sifted through 20-page tickets. GenAI now summarizes history and recommends resolutions with a single click.
Critical data was scattered across disconnected lakes. Now, 10,000 engineers query a unified platform using natural language.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
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.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Committing to one model was risky. A gateway now routes 100k staff to 40+ AI tools via chat, saving 500k hours.
A global communications technology company with over 100,000 employees operating across telecommunications, healthcare, agriculture, and security sectors.
The organization sought to empower its massive workforce with generative AI but faced risks regarding data privacy and rapid technological...
“Getting a model as powerful as Anthropic's Claude on Vertex AI is a win-win that makes life so much easier. We get a model that excels at tool calling on a comprehensive platform that integrates with our core Google Cloud workloads like GKE and Cloud Run — that's the magic.”
Telecommunications provider of wireless, internet, TV, and digital health services.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Connecting systems meant months of custom coding. Now, AI bridges incompatible apps, helping engineers ship 30% faster.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Technicians sifted through 20-page tickets. GenAI now summarizes history and recommends resolutions with a single click.
Critical data was scattered across disconnected lakes. Now, 10,000 engineers query a unified platform using natural language.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
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.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.