Outage traces took weeks; security questionnaires consumed 150 hours each. Sentinel's agents now triage, resolve, and respond—autonomously.
A global leader in business spend management, connecting thousands of enterprises and suppliers across procurement, invoicing, expenses, and supply chain operations.
Engineers started each day manually triaging overnight test failures, and when production issues surfaced, piecing together signals across separate...
“We’re processing 3–5 billion tokens a month. The ability to route intelligently across models on Amazon Bedrock is not a nice-to-have at that volume. It’s a meaningful cost and performance lever.”
Business spend management platform for enterprise procurement and finance.
Cloud computing platform and on-demand infrastructure services.
Coupa's Engineering automation is part of this use case:
Related implementations across industries and use cases
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Fragmented tools slowed release cycles. Now, developers use an AI assistant for instant code reviews before QA, accelerating sprints.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Outage traces took weeks; security questionnaires consumed 150 hours each. Sentinel's agents now triage, resolve, and respond—autonomously.
A global leader in business spend management, connecting thousands of enterprises and suppliers across procurement, invoicing, expenses, and supply chain operations.
Engineers started each day manually triaging overnight test failures, and when production issues surfaced, piecing together signals across separate...
“We’re processing 3–5 billion tokens a month. The ability to route intelligently across models on Amazon Bedrock is not a nice-to-have at that volume. It’s a meaningful cost and performance lever.”
Business spend management platform for enterprise procurement and finance.
Cloud computing platform and on-demand infrastructure services.
Coupa's Engineering automation is part of this use case:
Related implementations across industries and use cases
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Fragmented tools slowed release cycles. Now, developers use an AI assistant for instant code reviews before QA, accelerating sprints.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.