Notion
Autonomous workflow agents
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
- Internal AI adoption across all teams
Legacy bots deflected queries but resolved just 30%. Rebuilding with reasoning agents doubled the rate of true resolutions.
An AI-native customer service automation platform valued at $1.2B serves enterprise clients including Verizon, YETI, and Canva.
Standard industry metrics masked poor performance, as chatbots achieved 80–100% containment rates while often delivering irrelevant links or failing...
“We got really excited by OpenAI and what was happening in the industry. In 2022, we decided to go all in and rebuild the product using the reasoning capabilities of LLMs.”
AI customer service automation platform for messaging, voice, and email.
AI research and deployment company developing generative models and tools.
Ada's Customer service automation is part of this use case:
Related implementations across industries and use cases
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Legacy bots deflected queries but resolved just 30%. Rebuilding with reasoning agents doubled the rate of true resolutions.
An AI-native customer service automation platform valued at $1.2B serves enterprise clients including Verizon, YETI, and Canva.
Standard industry metrics masked poor performance, as chatbots achieved 80–100% containment rates while often delivering irrelevant links or failing...
“We got really excited by OpenAI and what was happening in the industry. In 2022, we decided to go all in and rebuild the product using the reasoning capabilities of LLMs.”
AI customer service automation platform for messaging, voice, and email.
AI research and deployment company developing generative models and tools.
Ada's Customer service automation is part of this use case:
Related implementations across industries and use cases
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.