Move your team from Crescendo to Decagon.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in Decagon — and the few things that need a manual step, walked through. You send one invite; nobody becomes the help desk, and nothing in Crescendo is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
Both products define how far the AI goes before routing to a human, but the mechanism differs significantly. Crescendo's handoff is a managed-service feature: transfers to Crescendo's shared human team happen in under 30 seconds with full conversation context automatically passed. Decagon's Agent Operating Procedures (AOPs) let admins write plain-language escalation rules in the console (e.g., 'if the customer mentions a billing dispute involving more than $500, escalate to Tier 2') — the customer's own human agents receive the routed ticket. Moving from Crescendo to Decagon: translate each Crescendo escalation trigger (typically defined during onboarding with Crescendo's team) into an AOP instruction in the Decagon console; set up your own human-agent queue (Zendesk, Intercom, or similar) as the escalation destination; test escalation routing with Decagon's Simulation tool before go-live. Moving from Decagon to Crescendo: document your existing AOPs and share them with Crescendo during onboarding so the managed team can replicate the logic; confirm which escalation scenarios will route to Crescendo's shared human pool vs. your own staff (dedicated non-shared teams are an add-on).
- Warning: Crescendo provides its own shared human agent team 24/7; Decagon does not supply human agents — teams must staff and route to their own support queue, which adds operational overhead.
- Warning: Dedicated (non-shared) human teams on Crescendo incur additional fees beyond the base plan; the base plan uses a shared pool you cannot configure directly.
- Warning: Decagon AOPs support versioning and A/B testing of escalation rules; Crescendo's escalation logic is managed by Crescendo's team, so rapid iteration on escalation criteria requires coordination with the vendor.
Crescendo auto-generates KB articles from resolved interactions and flags missing coverage as part of its managed service. Decagon surfaces equivalent gaps through its AI-powered Suggestions feature (in the Insights module), which identifies unresolved queries that lack knowledge base answers. Moving from Crescendo to Decagon: export auto-generated KB articles from Crescendo, load them as knowledge sources in the Decagon console, then activate the Suggestions feed in the Insights module to continue gap detection on a self-serve basis. Moving from Decagon to Crescendo: connect your existing Google Drive or other knowledge repo to Crescendo during onboarding; Crescendo's managed team will pick up article generation and gap flagging from live interactions. In both cases, seed the new platform with at least 30 days of prior ticket data to give the AI enough signal before go-live.
- Warning: Crescendo's article generation is fully managed (Crescendo's team handles it); Decagon's gap detection via Suggestions is self-serve, requiring a human to review and act on the flagged topics.
- Warning: Decagon's Ask AI natural-language querying over conversation data has no direct Crescendo equivalent — teams relying on ad-hoc NL queries will need to adapt to Crescendo's reporting dashboard instead.
- Warning: Knowledge sources in Crescendo are connected via Google Drive or similar integrations included in the standard plan; custom connectors not in the standard catalogue incur additional fees.
Both platforms handle chat, email, and voice from a single configuration, so the channel setup work is largely parallel. When moving from Crescendo to Decagon: export your Crescendo knowledge sources (e.g., Google Drive content) and re-connect them in the Decagon console; recreate channel-specific routing rules using Decagon's Agent Operating Procedures (AOPs) in plain language; install the Decagon web widget in place of Crescendo's chat embed and point your email inbox to Decagon's inbound address. Moving from Decagon to Crescendo: Crescendo's onboarding team provisions chat, voice, and email assistants together under its managed-service model, so migration effort shifts from DIY config to a guided setup call; bring your knowledge sources and ticket history to inform the AI from day one. In both directions, voice is the highest-effort channel — verify PSTN/SIP trunk configuration and test call-flow handoffs before go-live.
- Warning: Crescendo bundles a shared human-agent team on the base plan; Decagon does not supply human agents — you must route escalations to your own team via AOPs.
- Warning: Crescendo prices per resolution ($2.99/resolution base); Decagon pricing is enterprise/custom. A high-volume support operation may see materially different unit economics in each direction.
- Warning: Crescendo's voice assistant includes built-in hold-music elimination; Decagon's voice channel configuration may require PSTN setup with your telephony provider separately.
Both platforms provide 100% coverage QA rather than sampled review. Crescendo applies automated QA scoring to every AI and human interaction as a managed service, with reports covering performance metrics, CSAT trends, and interaction quality. Decagon's equivalent is Watchtower (real-time conversation monitoring) plus the QA Hub for collaborative team review, with Trace View for step-by-step agent reasoning. Moving from Crescendo to Decagon: stand up Watchtower in the Decagon console and configure alert thresholds; train QA reviewers on the QA Hub workflow; use Simulation to regression-test any agent changes before deploying, replacing Crescendo's managed tuning. Moving from Decagon to Crescendo: QA moves from a self-managed workflow to a Crescendo-operated managed service; share your existing QA rubrics with the Crescendo onboarding team so they can align scoring criteria. In both directions, export at least 60 days of flagged interactions for baseline comparison.
- Warning: Crescendo's QA is fully managed — the customer does not configure scoring criteria directly; Decagon's QA Hub is self-managed, requiring internal QA staff to triage flagged conversations.
- Warning: Decagon's Simulation feature (pre-deployment regression testing with synthetic conversations) has no stated equivalent in Crescendo's managed service, which relies on live-production learning.
- Warning: Crescendo's insights cover both AI-handled and human-handled interactions in one report; Decagon's QA tooling is AI-agent-focused and may not natively scorecard your own human agents.
Both platforms hold enterprise-grade security certifications and publish trust portals (trust.crescendo.ai and trust.decagon.ai respectively). Moving from Crescendo to Decagon: download your DPA, compliance certificates, and audit logs from trust.crescendo.ai before migration; request equivalent documents from trust.decagon.ai; reconfigure SSO by connecting Decagon to your Okta or Microsoft Entra tenant (Decagon supports both natively); verify PII redaction is active in Decagon (Google DLP-powered, automatic) and set RBAC roles for your team. Moving from Decagon to Crescendo: request Crescendo's DPA, HIPAA BAA (if healthcare), and PCI-DSS documentation; note that Crescendo handles encryption and access controls as a managed service, so RBAC configuration is done through the Crescendo onboarding team rather than self-service.
- Warning: Decagon enforces zero-day data retention with its AI providers (OpenAI and Anthropic), meaning conversation data is never stored for model training; Crescendo's data retention terms should be reviewed separately in its DPA, as the managed-service model may differ.
- Warning: Decagon's PII redaction via Google DLP is automatic and logged; Crescendo's least-privilege access model and PII handling are managed-service controlled, so self-audit capability is more limited.
- Warning: HIPAA BAAs are available from Crescendo on request; confirm Decagon's HIPAA posture separately before migrating healthcare workloads.