Aisera vs Decagon
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Aisera if you want agentic ai platform that auto-resolves it, hr, and customer service requests (Supervised agent, enterprise); choose Decagon if you want enterprise ai agents that resolve customer support end to end (Supervised agent, enterprise).
| Aisera | Decagon | |
|---|---|---|
| What it is | Agentic AI platform that auto-resolves IT, HR, and customer service requests | Enterprise AI agents that resolve customer support end to end |
| Type | platform | agent |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | enterprise | enterprise |
| Best for | enterprise, mid-market | enterprise, mid-market |
| Deployment | saas, api | saas, api |
| Modalities | text, voice, api | text, voice, email |
| Models | model-agnostic, proprietary, gpt, claude | model-agnostic |
| Protocols | mcp, a2a, function-calling, rest-api | function-calling, rest-api |
| Integrations | ServiceNow, Salesforce, Zendesk, Jira, Workday, Microsoft Teams | Zendesk, Salesforce, Intercom, Slack |
| Capabilities | 4 documented | 3 documented |
Aisera
- +Broad agentic scope across IT, HR, finance, and customer service on one platform
- +Deep enterprise integration footprint with a model-agnostic stack and proprietary models
- +Autonomous resolution across both chat and voice for in-scope requests
- -Enterprise-only with no public pricing and a demo-led sales path
- -Acquisition by Automation Anywhere (Nov 2025) leaves branding and roadmap in flux
Decagon
- +High autonomous resolution on common request types
- +True omnichannel: chat, email, and voice
- +Well funded and rapidly growing, low vendor-risk for enterprises
- -Enterprise-only with no public self-serve pricing
- -Aimed at high-volume brands; overkill for very small teams
Which should you choose?
Aisera is agentic ai platform that auto-resolves it, hr, and customer service requests, best for enterprise, mid-market. Decagon is enterprise ai agents that resolve customer support end to end, best for enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.