Move your team from Decagon to Maven AGI.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in Maven AGI — 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 allow the AI agent to execute multi-step actions (refunds, CRM updates, escalations) based on defined rules rather than requiring a human to perform them. On Decagon, action sequences are authored inside AOPs as natural-language instructions that map to API-connected actions. On Maven AGI, autonomous actions are embedded as system actions inside the agent via direct API connections to CRM, helpdesk, and product APIs. When migrating Decagon → Maven: list every action your AOPs trigger (e.g., 'issue refund', 'update account status'); confirm Maven has a native integration or webhook path for each; then re-express the trigger logic as system actions in Maven's platform. When migrating Maven → Decagon: document each system action and its API endpoint, then author equivalent AOP instructions in the Decagon console referencing the same APIs.
- Warning: Maven AGI explicitly names fintech transaction resolution, e-commerce order changes, and SaaS troubleshooting as supported autonomous action use cases; Decagon's AOP system is more general-purpose — confirm both tools have the right API connectors for your specific back-end systems before migrating live automations.
- Warning: Action authorization (approvals for high-value refunds, for example) may be handled differently: Decagon manages this through AOP escalation rules while Maven AGI uses API-level controls — audit authorization logic carefully during migration to avoid unintended autonomous transactions.
Both platforms provide simulation-based testing to validate agent behavior before live deployment. Decagon's QA suite includes Simulations (running thousands of synthetic conversations against agent changes pre-deployment), Watchtower (always-on live monitoring), QA Hub (collaborative review of flagged conversations), Trace View (step-by-step reasoning), and Agent Workbench (autonomous debugging). Maven AGI's Agent Designer includes simulation and testing environments for validating agent behavior across release stages before production. When migrating Decagon → Maven: document your existing Decagon simulation test cases (scenarios, expected outcomes, escalation triggers); recreate these as test inputs in Maven's simulation environment; establish a comparable monitoring cadence post-launch. When migrating Maven → Decagon: configure Decagon's Simulations module with equivalent test scenarios; set up Watchtower to replicate Maven's continuous monitoring role.
- Warning: Decagon's QA tooling is highly granular (Trace View for step-by-step reasoning, Agent Workbench for autonomous debugging); Maven AGI's Agent Designer testing capabilities are less detailed in public documentation — teams with advanced QA workflows should verify Maven's simulation depth before migrating.
- Warning: Decagon's Watchtower monitors every live conversation in real time; Maven AGI's monitoring is described at a high level without equivalent real-time granularity claims — confirm monitoring SLA equivalence if real-time quality alerting is a hard requirement.
Both platforms ensure agents answer with contextually relevant information rather than generic or stale content, though the mechanisms differ. Decagon's User Memory stores persistent facts about individual customers (preferences, past issues, account context) across sessions and injects them at the start of each interaction for personalized responses. Maven AGI's Knowledge Retrieval Engine surfaces version-accurate content from connected knowledge bases (Confluence, Notion, Google Drive, GitHub, ReadMe, etc.) per query, preventing hallucinations from mixed-version documentation. When migrating Decagon → Maven: identify what customer-level memory Decagon stores (preferences, prior issue history); migrate relevant customer context into the CRM or helpdesk system Maven AGI connects to (Zendesk, Salesforce, HubSpot) so the agent can retrieve it via integration rather than a first-party memory store. When migrating Maven → Decagon: enable Decagon's User Memory feature and configure Guided Discovery to leverage CRM-sourced account data alongside the built-in memory store.
- Warning: Decagon User Memory is a first-party per-user memory store; Maven AGI does not advertise an equivalent persistent user memory feature — customer context in Maven is retrieved from integrated CRM/helpdesk tools rather than a dedicated memory layer; teams relying on Decagon's cross-session memory will need their CRM to serve that role on Maven.
- Warning: Maven AGI's Knowledge Retrieval Engine is optimized for product-version accuracy across structured knowledge bases; Decagon's knowledge integration is less specifically described — teams with multi-version documentation (e.g., software with major version branches) should validate Decagon's retrieval accuracy before migrating.
Decagon's Analytics and Insights module and Maven AGI's Agent Designer both expose conversation analytics and performance monitoring to support leaders. Decagon provides a dedicated Insights and Reporting dashboard with voice-of-the-customer views, natural-language querying of conversation data (Ask AI), root cause analysis of volume spikes, and knowledge gap suggestions. Maven AGI's Agent Designer includes continuous monitoring and analytics as part of the agent lifecycle, surfacing performance data post-launch. When migrating Decagon → Maven: note which dashboards and reports your team uses regularly in Decagon (contact volume trends, deflection rates, knowledge gap alerts); replicate the monitoring cadence using Maven's post-launch analytics within the Agent Designer. When migrating Maven → Decagon: activate Decagon's Insights module and configure root cause analysis and Ask AI queries to replace Maven's built-in reporting.
- Warning: Decagon's 'Ask AI' feature lets managers query conversation data in natural language; Maven AGI's Agent Designer analytics are not described as having a natural-language query interface — teams relying on ad-hoc conversational data exploration may find Maven's reporting less flexible.
- Warning: Decagon's Root Cause Analysis automatically flags contact volume drivers; Maven AGI's analytics detail is limited in public documentation — validate the specific metrics your team tracks are surfaced in Maven before cutting over reporting workflows.
Both platforms offer enterprise-grade security controls suitable for regulated industries, making this pattern a direct capability swap. Decagon provides AES-256 encryption, TLS 1.2+ in transit, zero-day AI data retention (no conversation data stored by OpenAI/Anthropic), Google DLP-based PII redaction, RBAC, SSO (Okta, Microsoft Entra), multi-region failover, and compliance audits at trust.decagon.ai. Maven AGI holds 9 certifications including SOC 2 Type 2, HIPAA, PCI-DSS 4.0 Level 1, ISO 42001, and GDPR. When migrating Decagon → Maven: review Maven's compliance certificate list against your regulatory requirements; request Maven's SOC 2 report and data processing addendum; configure SSO and access controls in Maven's platform. When migrating Maven → Decagon: verify Decagon's zero-retention policy with OpenAI/Anthropic meets your data residency obligations; confirm PII redaction rules (Google DLP) cover the data types you need; request Decagon's trust documentation from trust.decagon.ai.
- Warning: Decagon explicitly documents zero-day data retention with AI providers (OpenAI and Anthropic), meaning conversation data is never used for model training; Maven AGI does not surface an equivalent explicit zero-retention claim in public docs — this is a critical distinction for data-sensitive industries.
- Warning: Maven AGI holds PCI-DSS 4.0 Level 1 and HIPAA certifications explicitly; Decagon's certifications are not individually named in public documentation beyond what's on trust.decagon.ai — verify your specific regulatory framework (HIPAA, PCI-DSS) is covered on the Decagon side before migrating regulated workloads.
- Warning: Decagon's SSO integrates with Okta and Microsoft Entra; Maven AGI's SSO/IdP support is not enumerated in public docs — confirm identity provider compatibility before migrating enterprise admin access.
Both platforms run a single agent logic layer across chat, email, and voice simultaneously, so teams switching between them do not need to rebuild per-channel workflows. On Decagon, configure channels in the Decagon console (web widget, email inbox, and voice) and point each to the shared agent. On Maven AGI, connect channels through the unified platform (chat widget, email via Mailgun/Zendesk, voice via AI Voice Agent with Genesys telephony). When migrating Decagon → Maven: export or document your Decagon channel configs (greeting copy, escalation thresholds, routing rules), then recreate them in Maven's platform UI. When migrating Maven → Decagon: map Maven's channel connections to Decagon's console equivalents; Decagon supports the same three channel types (chat, email, voice) without a separate flow per channel.
- Warning: Decagon markets 'always-on email triage' as a distinct inbox mode; Maven AGI handles email as a channel integration (Mailgun, Zendesk inbox) — verify email routing behavior matches before go-live.
- Warning: Maven claims up to 93% autonomous resolution; Decagon case studies cite 50–80% ticket deflection — resolution rate benchmarks will differ and should be re-baseligned after cutover.
- Warning: Voice support on Maven AGI uses a named AI Voice Agent component and integrates with Genesys; Decagon's voice AI is built-in but telephony integration details are not fully documented publicly — confirm carrier/SIP compatibility before migrating a live phone queue.
Decagon's Agent Operating Procedures (AOPs) and Maven AGI's AI Agent Designer both let non-technical teams configure how an AI agent behaves — including response tone, escalation logic, and action sequences — without writing code. When migrating Decagon → Maven: document all existing AOPs in plain language (Decagon already stores them as natural-language instructions); use those documents as the spec to configure equivalent behaviors inside Maven's AI Agent Designer UI. When migrating Maven → Decagon: export or screenshot each agent configuration from the Designer (including governance controls and release stages), then translate each setting into a corresponding AOP in the Decagon console. Both platforms support iterating configurations without engineering involvement, so the handoff is a configuration-authoring exercise rather than a development project.
- Warning: Decagon AOPs support versioning and A/B testing of procedure sets; Maven AGI's Agent Designer uses 'release stages' with governance controls — the concepts are similar but the rollback mechanics differ; confirm your team's change-management workflow maps to the target tool before switching.
- Warning: Maven AGI's Agent Designer is explicitly targeted at non-technical support team leads; Decagon's AOP editor is also non-code but embedded in the broader Decagon console — onboarding and UI familiarity will require a short ramp for admins moving either direction.