Move your team from Ada 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 Ada is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
Ada's Reasoning Engine and Fin's AI Engine are both the autonomous decision-making core that resolves multi-step customer conversations without human involvement. When moving from Ada to Fin: the primary configuration shift is from Ada's Playbook-driven logic (explicit step sequences) to Fin's knowledge-base-first approach — you need to ensure your help center content, FAQs, and troubleshooting articles are in an Intercom-accessible knowledge source (Intercom Articles or a synced external source); Fin's AI Engine (query refinement → retrieval → reranking → response → validation → calibration) then handles resolution automatically. When moving from Fin to Ada: Ada requires explicit Playbook structures rather than free-form knowledge retrieval; document your most common resolution patterns from Fin's outcome reports, then build corresponding Playbooks in Ada. In both directions, set a target resolution rate baseline before switching so you can measure performance change after migration.
- Warning: Ada claims 80%+ autonomous resolution rates but requires 300,000 annual conversations minimum to be eligible — this is a hard eligibility gate, not just a cost factor.
- Warning: Fin's AI Engine is powered by the proprietary Fin Apex 1.0 model; Ada's Reasoning Engine uses third-party LLMs with a proprietary orchestration layer — behavior and confidence calibration differ between them, so expect a tuning period after migration.
- Warning: Ada's Reasoning Engine includes multi-layer hallucination safeguards built in; Fin uses an accuracy validation step but does not publish comparable hallucination rate claims — verify against your own conversation types.
Ada and Fin both connect the AI agent to helpdesks, CRMs, and data systems so it can read and write customer data during live conversations. When moving from Ada to Fin: audit all active Ada integrations (Zendesk, Salesforce, ServiceNow, Freshworks, Genesys, Aircall, Twilio, etc.) and map each to a Fin equivalent; Fin has pre-built connectors for Salesforce Service Cloud, Freshdesk/Freshchat, and HubSpot Service Hub that sync knowledge bases and follow existing routing rules — pre-built connectors take 2-5 minutes to configure; for custom or niche systems (ServiceNow, Twilio, Genesys) use Fin's MCP or REST API connectors (30 minutes to a few hours per connector). When moving from Fin to Ada: Ada's Developer Toolkit (APIs, SDKs, MCP integrations) handles systems not covered natively; plan for custom integration work for any connector not in Ada's native list. In both directions, verify data-write permissions — both platforms support reading live data but updating CRM records requires explicitly scoped access grants.
- Warning: Ada supports Genesys, Aircall, and Twilio natively for telephony; Fin does not list these as pre-built connectors — voice channel integrations require custom API work on the Fin side.
- Warning: Fin's pre-built helpdesk connectors (Salesforce Service Cloud, Freshdesk, HubSpot) are the primary migration-free path; ServiceNow, which Ada supports natively, has no Fin pre-built connector and requires custom integration.
- Warning: OAuth 2.0 governs Fin's connector authentication with granular access scopes; Ada uses similar API-key or OAuth patterns but the specific scopes and permission models differ — re-authorize each system individually rather than copying credentials.
Both Ada and Fin deploy a single AI agent across chat, email, voice, and social messaging from one configuration. When moving from Ada to Fin: export Ada's channel list and note which channels are active (voice, WhatsApp, SMS, Messenger, Instagram); in Intercom, connect the same channels via the Channels settings — chat/Messenger, email, and Slack come pre-configured while voice requires a separate Intercom sales engagement. Ada's Conversation Hub context-carry is replicated in Fin automatically since all channels share the same knowledge base and routing rules in Intercom. When moving from Fin to Ada: document your channel list from the Intercom Channels settings, then connect the same channels in Ada's Conversation Hub; note Ada requires a minimum of 300,000 annual conversations for eligibility. In both directions, test each channel after connecting with a sample conversation before going live.
- Warning: Ada requires a minimum of 300,000 annual customer service conversations for eligibility — teams below that volume cannot purchase Ada.
- Warning: Fin voice requires a separate sales engagement with custom pricing on top of the base per-resolution fee; Ada similarly requires direct sales for voice configuration.
- Warning: Ada supports WhatsApp, SMS, Messenger, Instagram, and in-app; Fin's social channels are more limited — confirm exact channel availability in your region before committing to Fin.
Ada's Coaching system and Fin's analytics both close the loop on AI agent quality — flagging underperforming conversations and applying learnings to improve future responses. When moving from Ada to Fin: export a baseline of Ada's resolution rates and coaching flags from the Performance Center before switching; in Intercom, enable pre-built reports (included on all plans) covering resolution rates and outcome distribution; if you need deeper per-conversation analysis, add the Pro add-on ($99/month) for up to 1,000 analyzed conversations/month. Fin's performance calibration feeds into the AI Engine automatically — unlike Ada's explicit coaching flag mechanism, improvement in Fin is more automated. When moving from Fin to Ada: replicate your outcome tracking categories (Resolution / Handoff / Disqualification) as Ada coaching signals; use Ada's Performance Center to set equivalent monitoring thresholds and watch resolution rate trends over the first 30 days.
- Warning: Ada's Coaching requires CX operators to manually flag conversations to drive improvement; Fin's calibration is more automated but less transparent — you cannot see which specific conversations influenced a model update.
- Warning: Fin's deep conversation analysis (Pro add-on at $99/month) caps at 1,000 conversations/month — high-volume operations will hit this ceiling quickly and lack per-conversation insight above that threshold.
- Warning: Ada's Performance Center metrics (resolution rate, escalation patterns, agent accuracy) do not export in a standard format; document your KPI baselines in a spreadsheet before switching to Fin so you have a clean comparison baseline.
Both Ada and Fin hold enterprise security certifications and offer compliance features for regulated industries. When moving from Ada to Fin: Ada includes HIPAA, SOC 2, GDPR, and AIUC-1 certifications platform-wide with zero data retention on conversation content; in Fin, HIPAA support is available only on the Expert plan ($132/seat/month) — verify your plan includes HIPAA before migrating any healthcare data. Ada's privacy-by-design and zero data retention policy has no direct Fin equivalent by default; check with Intercom's sales team about data residency and retention settings on your contract. When moving from Fin to Ada: Ada's certifications apply across all tiers without add-on costs; SSO is not gated in Ada the way it is in Fin (Expert-only). In both directions, run a data mapping exercise to identify what customer PII flows through conversation content and ensure the destination platform's retention and masking settings match your compliance requirements.
- Warning: Fin restricts HIPAA support and SSO to the Expert plan at $132/seat/month; Ada includes HIPAA and SOC 2 certifications at the platform level without a plan upgrade requirement.
- Warning: Ada holds AIUC-1 certification (AI usage compliance) which Fin does not advertise; if your regulatory environment requires AI-specific compliance attestations, confirm Fin's current certifications with their sales team before switching.
- Warning: Ada conducts independent annual penetration testing and advertises zero data retention for conversation content; Fin's data handling practices should be validated via Intercom's current DPA (Data Processing Agreement) since published docs are less explicit on this point.
Ada Playbooks and Fin Procedures both define multi-step structured logic the AI agent follows for specific interaction types (e.g., order status lookup, refund request, account update). When migrating from Ada to Fin: list all active Playbooks in Ada and document each one's trigger, branching steps, data lookups, and end state (resolution vs. escalation); recreate each as a Fin Procedure in the Fin admin interface using step-by-step instructions, @handoff commands for escalation branches, and Workflow integration triggers for data actions. When migrating from Fin to Ada: export Fin Procedures, map each outcome type (Resolution, Handoff, Disqualification, Qualification) to an equivalent Ada Playbook end state, then configure the Playbook steps in Ada's platform. In both directions, use Fin's Training mode (simulate conversations) or Ada's test environment to validate each workflow before deploying to production.
- Warning: Fin bills per-outcome — each Procedure ending in Resolution, Handoff, or Disqualification costs $0.99 and Qualification costs $9.99; Ada is priced differently (volume-based contract), so migrating to Fin requires modeling conversation volume to forecast costs accurately.
- Warning: Ada Playbooks natively support real-time data lookups via integrated business systems within the workflow step; in Fin, equivalent data actions require pre-configured data connectors (MCP or API) which add setup time.
- Warning: Fin's Procedures are scoped per use-case and cannot currently share branching logic across procedures; Ada Playbooks can reference shared sub-flows.