Rigid bots failed on vague queries like "W-2 issue." GenAI now pulls live user context to resolve tickets or route them precisely.
A unified workforce platform combining HR, IT, and Finance applications for over 10,000 businesses and 400,000 individual users.
A legacy decision-tree system required heavy manual maintenance and struggled with vague queries like 'W-2 issue' or complex termination flows....
“Rippling has a very broad surface area with distinct products that require unique treatments — we brought this problem statement to Decagon and they delivered. We are able to tailor the experience and responses to customers to not only deliver strong deflection results, but also enhance the customer experience along the way. We are very happy with our results and are looking forward to partnering further with Decagon.”
HR, payroll, and IT management platform for global workforce operations.
Generative AI platform for automated enterprise customer support and workflows.
Rippling's Customer support automation is part of this use case:
Related implementations across industries and use cases
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Language barriers slowed global support. AI now generates 3 instant replies for agent review, cutting handle times 20%.
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
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.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Rigid bots failed on vague queries like "W-2 issue." GenAI now pulls live user context to resolve tickets or route them precisely.
A unified workforce platform combining HR, IT, and Finance applications for over 10,000 businesses and 400,000 individual users.
A legacy decision-tree system required heavy manual maintenance and struggled with vague queries like 'W-2 issue' or complex termination flows....
“Rippling has a very broad surface area with distinct products that require unique treatments — we brought this problem statement to Decagon and they delivered. We are able to tailor the experience and responses to customers to not only deliver strong deflection results, but also enhance the customer experience along the way. We are very happy with our results and are looking forward to partnering further with Decagon.”
HR, payroll, and IT management platform for global workforce operations.
Generative AI platform for automated enterprise customer support and workflows.
Rippling's Customer support automation is part of this use case:
Related implementations across industries and use cases
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Language barriers slowed global support. AI now generates 3 instant replies for agent review, cutting handle times 20%.
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
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.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.