Move your team from Decagon to Intercom Fin.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in Intercom Fin — and the few things that need a manual step, walked through. You send one invite; nobody becomes the help desk, and nothing in Decagon is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
Both platforms let admins define how the AI agent handles specific scenarios using natural-language instructions rather than code. To migrate from Decagon to Fin: export each AOP as a written document from the Decagon console, then recreate them as Fin Procedures in the Intercom admin interface — map escalation rules to @handoff commands, tone/response instructions to Fin's per-procedure guidance fields, and action sequences to Fin workflow triggers. Use Fin's Training Mode (simulated conversations) to validate each procedure before going live. Moving the other way: capture each Fin Procedure's structure and outcome logic, then translate into Decagon AOPs written in plain language in the Decagon console — Decagon's versioning lets you A/B test the migrated AOPs against originals before committing.
- Warning: Fin Procedures have explicit billable outcomes ($0.99 per Resolution or Handoff, $9.99 per Qualification); Decagon uses a flat enterprise contract, so a high-volume procedure migration can shift cost structure dramatically.
- Warning: Decagon supports AOP versioning and rollback natively; Fin has no built-in version history for procedures — maintain external docs before making edits.
- Warning: Decagon AOPs span chat, email, and voice from a single instruction set; Fin procedures may need channel-specific configuration for voice, which requires a separate sales engagement.
Decagon provides an explicit QA layer (Watchtower, Simulations, QA Hub, Trace View) that runs continuously on top of agent conversations. Fin's quality assurance is embedded in its AI Engine's performance calibration step, which feeds back into response accuracy automatically. Moving from Decagon to Fin: document your existing Watchtower flags and simulation test cases as acceptance criteria; run Fin in Training Mode (simulated conversations against procedures) to validate coverage before going live; monitor the Fin dashboard's outcome distribution to detect resolution-quality regressions post-launch — there is no separate QA module to configure. Moving from Fin to Decagon: deploy Decagon's QA Hub and Watchtower on top of the migrated agent; use Simulations to run your historical Fin test conversations against the new agent before cutting traffic.
- Warning: Decagon's Simulations allow thousands of pre-deployment synthetic conversations; Fin Training Mode is procedure-scoped and does not offer the same scale of regression simulation.
- Warning: Decagon's Trace View exposes step-by-step agent reasoning for debugging; Fin does not provide an equivalent low-level reasoning trace in its standard interface.
- Warning: Fin's quality improvement is automated and opaque — teams that relied on Decagon's collaborative QA Hub review workflow will need to establish a manual spot-check process on the Intercom side.
Both platforms surface conversation-level analytics and AI-generated performance insights in a built-in dashboard. Moving from Decagon to Fin: Decagon's voice-of-customer dashboards and root-cause-analysis outputs are qualitative summaries — before switching, export or document recurring insight themes so you have a baseline. Fin's Essential plan includes pre-built reports on resolution rate and outcome distribution; the Pro Analytics add-on ($99/month) enables deeper conversation analysis (up to 1,000 conversations/month). Map Decagon's 'Ask AI' natural-language queries to Fin's filtering and drill-down interface. Moving from Fin to Decagon: Decagon's Ask AI and Root Cause Analysis modules are configured automatically once the agent is live — historical Fin conversation exports can be provided to the Decagon onboarding team to seed the insight baseline.
- Warning: Fin's deeper analytics (conversation analysis beyond pre-built reports) requires the Pro add-on at $99/month with a 1,000-conversation-per-month cap — high-volume teams may hit this ceiling quickly.
- Warning: Decagon's AI Suggestions automatically flag knowledge-base gaps; Fin surfaces similar gaps through analytics but does not auto-generate KB recommendations in the same way.
- Warning: Neither platform exports raw conversation analytics in a neutral interchange format — plan for a manual re-baselining period after switching.
Both products deploy a single AI agent across chat, email, and voice from a central configuration. Moving from Decagon to Fin: Fin's standalone product can be layered on top of an existing helpdesk (Salesforce, Freshdesk, HubSpot) without migrating your current ticket stack — connect Fin to each channel in the Intercom admin (Messenger for web chat, email inbox sync, voice via sales engagement). Knowledge bases transfer by exporting Decagon's source documents and uploading them to Fin's content ingestion interface. Moving from Fin to Decagon: replicate channel connections in the Decagon console (web widget embed code swap, email routing MX/forwarding update, voice provider re-point); Decagon manages all three from a single agent config. In both directions, test each channel independently using the respective platform's simulation or Training Mode before cutting live traffic over.
- Warning: Fin voice channel pricing is not self-serve — it requires a separate sales engagement and quote; Decagon voice is included in the enterprise contract.
- Warning: Fin deployed as a standalone product integrates with existing helpdesks without migration, but Decagon is the primary inbox — switching to Decagon means committing to it as the system of record for all channels.
- Warning: Fin operates on Slack and social messaging (Instagram, WhatsApp); Decagon's public capability set covers chat, email, and voice — verify social channel parity before committing to a Decagon migration.
Both platforms provide enterprise-grade security with PII masking, SSO, and compliance controls, but the access models differ. Moving from Decagon to Fin: Decagon enforces zero-day data retention with AI providers (OpenAI, Anthropic) and uses Google DLP for PII redaction before logs; verify that Fin's sensitive-data masking meets the same regulatory bar for your industry before switching. SSO on Fin requires the Expert plan ($132/seat/month) — confirm your Intercom plan tier includes SSO before decommissioning Decagon's SSO integration. HIPAA support is also Expert-plan only on Fin. Moving from Fin to Decagon: Decagon's RBAC and Okta/Entra SSO map directly; configure them in the Decagon console during onboarding and request the zero-retention data processing agreement from the Decagon sales team.
- Warning: Decagon's zero-retention policy with AI providers (no training on customer data) is contractually guaranteed at all tiers; Fin's equivalent data policy terms should be confirmed per-plan before migration.
- Warning: SSO and HIPAA compliance on Fin are gated to the Expert plan ($132/seat/month) — teams on Essential or Advanced plans do not get these controls without upgrading.
- Warning: Decagon's PII redaction uses Google DLP before data appears in any logs; Fin masks sensitive data in conversations but the underlying audit-log behavior may differ — verify with Intercom compliance documentation for regulated industries.