Analyzing metrics for 100,000 projects meant navigating multiple systems. Now, teams instantly extract insights via AI chat or voice.
A global provider of engineering and infrastructure consulting services with more than 25,000 employees managing approximately 100,000 projects annually across 110 countries.
After consolidating over 100 legacy ERP systems into a single repository, business users still struggled to access complex performance metrics on...
“It has been a truly transformative experience for our business users. They tell me that their questions are answered correctly almost 100% of the time.”
Engineering and consulting services for water, environment, and infrastructure.
Enterprise database software and cloud infrastructure services.
Tetra Tech's Data analytics is part of this use case:
Related implementations across industries and use cases
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Reconciling siloed systems delayed revenue forecasts. Now, teams query AI agents in plain language to pull project data in seconds.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
With 115K annual applicants, managers read resumes between van breakdowns. Now Maria screens, schedules, and offers—managers just decide.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
90% of invoices had exceptions; AP analysts corrected them line by line. An agent now resolves mismatches before they reach finance.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Analyzing metrics for 100,000 projects meant navigating multiple systems. Now, teams instantly extract insights via AI chat or voice.
A global provider of engineering and infrastructure consulting services with more than 25,000 employees managing approximately 100,000 projects annually across 110 countries.
After consolidating over 100 legacy ERP systems into a single repository, business users still struggled to access complex performance metrics on...
“It has been a truly transformative experience for our business users. They tell me that their questions are answered correctly almost 100% of the time.”
Engineering and consulting services for water, environment, and infrastructure.
Enterprise database software and cloud infrastructure services.
Tetra Tech's Data analytics is part of this use case:
Related implementations across industries and use cases
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Reconciling siloed systems delayed revenue forecasts. Now, teams query AI agents in plain language to pull project data in seconds.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
With 115K annual applicants, managers read resumes between van breakdowns. Now Maria screens, schedules, and offers—managers just decide.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
90% of invoices had exceptions; AP analysts corrected them line by line. An agent now resolves mismatches before they reach finance.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.