Robylon vs Intercom Fin (2026)

Robylon

by Robylon AI

Intercom Fin

by Intercom

Pros

• ✓Publishes a full self-serve price ladder in both billing states, including a free forever plan and a per-plan credit allowance, with each add-on priced item by item.
• ✓Thirty-two named integrations on a dedicated directory page, spanning helpdesks, commerce, CRM, storage and voice carriers, with write access rather than read-only lookups.
• ✓Forty-nine supported languages enumerated by the vendor, and a public trust portal listing SOC 2, GDPR, CPRA and HIPAA as compliant alongside a SOC 2 Type 2 report.

Limitations

• ⚠No MCP server and no MCP client, confirmed across the documentation corpus, both sitemaps and a DNS check, so agent-to-agent tooling is not available today.
• ⚠Autonomous resolution is quoted at 60-80% for email, 70-80% when connected to systems of record and up to 90% on the G2 profile, so the figure depends on channel and setup.
• ⚠AI replies pause when a plan's credit allowance is used up until credits are topped up, and the human agent inbox is a separately priced add-on from $19 per seat per month.

Pros

• ✓Outcome-based pricing at $0.99/resolution with a 76% average customer resolution rate across 12,000+ customers: you only pay when Fin resolves a conversation end-to-end, and the average rate has grown from 23% at launch, with Fin winning every published head-to-head bake-off against competing AI agents on resolution rate.
• ✓Official MCP server at mcp.intercom.com with 13 tools covering conversations, contacts, companies, and articles: Claude, ChatGPT, Cursor, and other MCP-compatible AI tools can authenticate and access Intercom data natively, making Fin one of the first AI customer service agents with full MCP integration.
• ✓Most comprehensive security certification stack in the category: SOC 2 Type II, ISO 27001, ISO 42001, GDPR, CCPA, HIPAA, and AIUC-1 (the first AI agent-specific safety certification) cover regulated industries including healthcare, finance, and government that most competing AI customer service platforms cannot serve.

Limitations

• ⚠Per-resolution pricing scales steeply at high volume: teams resolving 10,000 AI-handled conversations per month pay $9,900 in Fin fees alone on top of required Intercom seat costs at $29 to $132/seat/month, making Fin more expensive than seat-based alternatives like Zendesk AI Agents (included in Suite from $55/agent/month) at enterprise scale.
• ⚠Salesforce signed a definitive agreement to acquire Fin for approximately $3.6 billion on June 15, 2026, with closing expected in early 2027. While Fin currently operates independently, the acquisition introduces uncertainty around long-term product roadmap, pricing structure, and integration strategy as Salesforce aligns Fin with Agentforce.
• ⚠Requires at least one paid Intercom seat ($29 to $132/seat/month) when used inside Intercom: the $0.99 per outcome is not the complete cost picture. The Fin standalone option removes this requirement but loses access to Intercom routing, automation, reporting, and inbox tooling.