TELUS
TELUS gives staff a choice of AI models through its Fuel iX platform
TELUS built Fuel iX, an in-house generative AI platform where staff pick from 40+ models, including Claude and Gemini. TELUS says over 57,000 team members use its in-house AI tools daily, and that Fuel iX saves an average of 40 minutes per use. Google's case study adds figures for benefits and faster code delivery.
Key figures
Copied exactly from the sources. Copy any figure with its citation.
More than 57,000
Team members using secure in-house AI tools daily (TELUS release, May 2025)2
more than 500,000
Hours reclaimed through Fuel iX (TELUS release, May 2025)2
over $90 million
Benefits to date from large-scale generative AI products (Google case study, undated)1
What it took
Cost, team size and timeline were not disclosed in the sources.
The problem
TELUS has a large, varied workforce. When generative AI arrived, it wanted to give everyone safe access while keeping control of data privacy and customer trust. It also did not want to bet on one model in a market that changes quickly.
What they built
Fuel iX is TELUS's own generative AI platform. It acts as a gateway where team members choose from 40+ models, such as Anthropic's Claude and Google's Gemini, for tasks like writing, summarizing reports, coding and analyzing data. Many people use it through chat tools they already have, such as Google Chat or Slack.
How they did it
The platform runs on Google Cloud, with most model traffic going through Google's Vertex AI service. Because the design is model-neutral, a new or updated model becomes available to all users without a new purchasing or IT project. Google's case study quotes a TELUS engineer saying Claude is valued for choosing and using the right tool, such as searching documents, Jira or GitHub. The same page says Gemini Flash is valued for speed. TELUS also opened Fuel iX to customers: its customer support tool built on it was certified under the Privacy by Design standard ISO 31700-1. The platform handles 100 billion tokens a month, according to Google's case study.
Results
In a May 2025 release TELUS said more than 57,000 team members use its AI tools daily and that Fuel iX saves an average of 40 minutes each time it is used, with more than 500,000 hours reclaimed. Google's case study says 47 large-scale generative AI products have driven over $90 million in benefits to date, and that engineering teams ship code 30% faster. It also reports over 13,000 custom solutions built by team members.
All reported figures
| Measure | Figure | Citation |
|---|---|---|
| Team members using secure in-house AI tools daily (TELUS release, May 2025) | More than 57,0002 | |
| Average time saved each time team members use Fuel iX | 40 minutes2 | |
| Hours reclaimed through Fuel iX (TELUS release, May 2025) | more than 500,0002 | |
| Benefits to date from large-scale generative AI products (Google case study, undated) | over $90 million1 | |
| Large-scale generative AI products behind that benefit figure | 471 | |
| Speed at which engineering teams ship code using AI (Google case study, undated) | 30% faster1 | |
| Custom AI solutions created by team members (Google case study, undated) | over 13,0001 |
Lessons for your project
Avoid locking into one model. TELUS built a gateway so staff choose the best of 40+ models for each task, and new versions become available without new procurement.
Put AI inside the chat tools people already use, such as Google Chat or Slack. TELUS credits this for faster adoption.
Let staff build their own solutions. TELUS reports thousands of custom solutions made by team members across departments.
Report the benefit both ways: hours saved per use and a dollar figure for large products, and name who produced each number.
Caveats
- The $90 million, 47 products, 30% faster code and 13,000 solutions come from a Google Cloud case study with no date on the page. Google has a commercial interest. The case study and the TELUS release give different tallies (a TELUS release in May 2025 counts 31 custom AI tools), so figures change over time.
- TELUS's own May 2025 release confirms the 57,000 users, the 40 minutes per use and the 500,000 hours. That release could only be read through an archived copy because the live page blocked access.
- No source says when Fuel iX went live. The deployed date shown is the date of the TELUS release showing it in use.
- Whether the $90 million is cumulative or annual, and how it was calculated, is not explained beyond 'to date'.
- The sources name Claude and Gemini, but not versions, and say users can choose from 40+ models.
Sources
- TELUS: Unleashing workplace innovation and engineering excellence with AI
Google Cloud · Undated · Vendor case study · cloud.google.com
- TELUS wins prestigious Mercure for AI-driven productivity enhancement
TELUS · 2025-05-06 · Press release · telus.com
Summarized in our own words from the sources above. Spotted an error? See corrections.