A SaaS? tool that configures, tests, and continuously improves AI support agents across Zendesk and Amazon Connect workflows.
Added Jun 2, 2026
Last signal 2w ago
Support teams are being asked to deploy AI triage, tagging, macros, self-service agents, and multi-turn dialogue flows, but these systems require ongoing configuration and optimization. Companies need a way to turn knowledge bases, ticket history, prompts, escalation rules, and customer context into reliable support automation without relying on one-off manual tuning.
The product connects to Zendesk, Amazon Connect, knowledge bases, and CRM? systems to audit support workflows, recommend AI configuration changes, and test prompts or dialogue flows before deployment. It monitors ticket outcomes, agent suggestions, tagging accuracy, Tier 0 resolution rates, and escalations, then proposes or applies improvements to triage rules, macros, prompts, and agent memory segmentation.
Multiple companies are hiring for roles focused on AI-first support operations, Zendesk AI optimization, Amazon Connect AI agents, and agentic workflows. This suggests AI support automation has moved from experimentation into operational deployment, creating demand for tooling that manages quality and iteration.
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78% score confidenceTrend snapshot pending
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Showing 1-14 of 14 signals
Partner with Customer Support leadership to prioritize AI initiatives based on customer needs, operational impact, and business value Design, test, and optimize AI prompts, conversation flows, and automation logic to improve response quality and operational efficiency
Evaluate, prompt-engineer, and iterate on AI tools to improve support quality and reduce MTTR; provide feedback to internal AI tooling teams. Identify opportunities to automate repetitive support workflows using AI agents, scripts, or low-code/no-code automation platforms.
Configure and optimize Zendesk AI features (e.g., intelligent triage, auto-tagging, suggested macros, generative AI for agents) where available
Evaluate and recommend ticketing and knowledge management systems — with a strong bias toward AI-first platforms that can learn from your knowledge base and automate Tier 0 triage over time
Agent Design & Build Write and refine dialogue flows, including intent recognition, empathetic response patterns, and multi-turn conversation logic.
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