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Decagon builds AI agents and tools for customer experience teams.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Its Agent Operating Procedures (AOPs) let teams define agent behavior in natural language, while Decagon Assist supports human representatives with summaries, suggested responses, and in-tool actions.
Decagon’s product materials describe AOPs as step-by-step natural-language instructions backed by code. They can define triggers, actions, and guardrails for an agent, and Decagon says its Duet feature can draft an AOP from plain English or an existing SOP. Decagon’s Assist product is a copilot for human representatives, providing summaries, suggested responses, and actions in their tools. Decagon describes agents across chat, email, and voice, and says voice agents can hand complex inquiries to human representatives. Decagon works with brands in areas including e-commerce, fintech, and consumer applications, and describes agents that can execute multi-step support workflows through connected systems. Its goal is to automate suitable resolutions while support teams retain control over policy. These are product descriptions; actual capabilities depend on configuration, permissions, and integrations. Teams should test policy boundaries and escalation behavior before allowing consequential actions. Product scenarios in this guide are illustrative; they are not claims that a named customer uses Decagon for those exact workflows or receives a particular outcome.
Illustrative: a configured fintech support agent answers an account question only within the connected tools and permissions.
Illustrative: a configured commerce workflow checks order status before drafting a response.
Illustrative: a support manager writes a refund procedure for human and agent review.
Illustrative: a quality team examines a flagged interaction and revises a procedure after testing.
Decagon’s products span autonomous customer interactions and assistance for human representatives. The useful measure is whether these systems improve resolution and representative effectiveness while retaining clear control over policies, permissions, and escalation.
Tsamba yemahara
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Decagon builds AI agents and tools for customer experience teams. Its Agent Operating Procedures (AOPs) let teams define agent behavior in natural language, while Decagon Assist supports human representatives with summaries, suggested responses, and in-tool actions.
Decagon inovaka bhizinesi AI rutsigiro vamiririri vanogadzirisa nhaurirano dzebasa revatengi pane chat, email, uye izwi.
Decagon describes agents that can execute multi-step support workflows through connected systems; actual actions depend on configured integrations and permissions.
Decagon describes Duet as drafting an AOP from plain English or an existing SOP. The resulting procedure still needs review and configuration.
Decagon describes Assist as a copilot for human representatives, offering summaries, response suggestions, and actions within their tools.
Decagon inoshanda nemhando dzebhizinesi mukati me-e-commerce, fintech, uye zvevatengi zvikumbiro zvine mavhoriyamu ekutsigira.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
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Imbue Reasoning Agents
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