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
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
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.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
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Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
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
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
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.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.