# Alternatives to Aide > Source: https://theagentsindex.com/aide/alternatives (current datasheets, evidence-ranked) Candidates share the baseline category or are previously researched peers. Requirements, preserved strengths, explicit trade-offs and research coverage decide the order; paid tier does not. ## Shortlist ### 1. Fin Intercom's customer agent that resolves support conversations across chat, email, voice and social channels. **Research coverage:** 35/35 criteria **Where it improves on Aide:** - [Runs autonomously: yes — Fin resolves whole conversations end to end without a teammate, including multi-step Procedures that call external systems; it escalates instead of guessing when its confidence thresholds are not met.](https://fin.ai/procedures) - [MCP server: yes — MCP runs both ways: Fin reaches business tools through MCP connectors, and an Intercom MCP server lets outside AI systems read the conversation data Fin produces.](https://fin.ai/integrations) - [Seat model: partial — Fin itself carries no seat cost and the vendor states teammates are unlimited, but the floor is a 50-outcome monthly minimum, and pairing Fin with the Intercom helpdesk adds a per-seat charge for Full seats.](https://fin.ai/pricing) **Trade-offs against Aide:** - [Self-hosted: no — Fin runs in Intercom's cloud; the only placement control published is which of three regions holds your data, and none of the pricing, security or integration pages offer a self-hosted or bring-your-own-infrastructure deployment.](https://www.intercom.com/security) [View Fin](https://theagentsindex.com/intercom-fin) ### 2. Decagon Enterprise platform for building and running AI customer-support agents across chat, voice and email. **Research coverage:** 31/35 criteria **Where it improves on Aide:** - [Runs autonomously: yes — The agent handles inbound customer requests end-to-end across channels without a human, though changes the agent proposes to itself are staged for human approval first.](https://decagon.ai/product/chat) - [Single sign-on: yes — SSO is offered against enterprise identity providers, with Okta and Microsoft Entra named; the underlying SAML or OIDC protocol is not stated.](https://decagon.ai/security) **Trade-offs against Aide:** - [Free tier: no — Every entry path on the site is a sales demo: there is no signup, no trial and no free plan, and each engagement ships with a forward-deployed team.](https://decagon.ai/vs/sierra) - [Audit log: partial — Tamper-protected audit logs exist and capture logins and unusual activity, but Decagon states access is limited to its own senior engineering leadership rather than the customer's admins.](https://decagon.ai/security) [View Decagon](https://theagentsindex.com/decagon) ### 3. Ada Enterprise AI customer service agents across voice, messaging and email, with tool use in your own systems. **Research coverage:** 35/35 criteria **Where it improves on Aide:** - [Runs autonomously: yes — The vendor states its agents resolve the large majority of inquiries end to end with no human in the loop, and the documented loop is decide, act, check, decide, with handoff to a human only as the fallback.](https://www.ada.cx/platform/) - [On the command line: partial — Terminal use is limited to managing Ada through MCP from Codex CLI or Gemini CLI; Ada ships no CLI of its own, so this is a client-side surface the vendor supports rather than a product binary.](https://docs.ada.cx/mcp/introduction/getting-started/codex-cli) - [Open source: partial — Only the client-side chat UI library is distributed publicly on npm as @ada-cx/lovelace; the platform and Reasoning Engine are hosted with no published source.](https://docs.ada.cx/lovelace/overview) **Trade-offs against Aide:** - [Self-hosted: no — Every documented deployment is a vendor-hosted Ada instance reached at its own subdomain, with Ada holding the conversation data under its own retention schedules; no self-hosted or bring-your-own-infrastructure option appears anywhere in the documentation.](https://docs.ada.cx/docs/other/data-retention) - [Free tier: no — There is no sign-up, free plan or self-serve trial: the only published route in is a sales-led expert review and custom demo, and the pricing path redirects to that booking form.](https://www.ada.cx/demo/) - [Pooled budget: partial — Consumption is metered per end-user conversation at the agent level rather than against per-user allowances, but no balance, pool or overage mechanics are published.](https://www.ada.cx/platform/) [View Ada](https://theagentsindex.com/ada) ### 4. Zendesk AI agents Customer-service AI agents for messaging, email and voice, billed per automated resolution. **Research coverage:** 35/35 criteria **Where it improves on Aide:** - [Runs autonomously: yes — Vendor states the agents resolve inquiries and execute multi-step workflows without a live agent; escalation to humans is a configured fallback.](https://www.zendesk.com/service/ai/ai-agents/) - [API access: yes — API access is a checkmark on every self-serve plan in the comparison table; extra API volume is a paid add-on on Suite Professional.](https://www.zendesk.com/pricing/) - [Seat model: yes — Priced per agent seat per month with no published seat floor; the resolution allowance is also derived per seat (5 ARs/agent/month on Team and Suite Team, 10 on Professional).](https://www.zendesk.com/pricing/) **Trade-offs against Aide:** - [Self-hosted: no — Hosted SaaS on AWS; the only locality control is choosing a Zendesk region.](https://www.zendesk.com/trust-center/) - [Audit log: partial — Account audit logs are Enterprise-only: the comparison table shows an em dash for Support Team, Suite Team and Suite Professional.](https://www.zendesk.com/trust-center/) - [Opt out of training: partial — Third-party LLMs never train on customer data, but Zendesk does train its own generic cross-account classification models on Service Data and publishes no opt-out.](https://www.zendesk.com/trust-center/) [View Zendesk AI agents](https://theagentsindex.com/zendesk-ai-agents) ### 5. Maven AGI Enterprise AI agent platform that resolves customer conversations across chat, email, voice and internal tools. **Research coverage:** 33/35 criteria **Where it improves on Aide:** - [Runs autonomously: yes — The platform is sold on unattended resolution, claiming up to 93% of incoming queries closed without a human, with escalation triggered by configurable confidence and risk signals rather than by default.](https://www.mavenagi.com/product/agent-platform) - [Model choice: partial — Maven claims its own architecture is LLM-portable on the platform page, but the contract shows the vendor picks the models and may change them on notice; no buyer-facing model selector is published anywhere.](https://www.mavenagi.com/product/agent-platform) - [API access: yes — Maven publishes SDKs and platform APIs, and Maven Apps are written in TypeScript against a named SDK package with a real deploy pipeline, so a customer team can drive and extend the platform from its own stack.](https://www.mavenagi.com/resources/platform-launch) **Trade-offs against Aide:** - [Self-hosted: no — The vendor's own marketplace listing classes delivery as SaaS and states the software is not deployed in the buyer's AWS account; no on-premise, VPC or single-tenant option is published on any tier.](https://aws.amazon.com/marketplace/pp/prodview-l2djyrnxnfffq) - [How it meters: partial — The vendor names resolution volume as what the price scales with, but publishes no per-resolution rate; the contract meters against a subscription usage allowance with overage priced privately in the order form.](https://aws.amazon.com/marketplace/pp/prodview-l2djyrnxnfffq) - [Free tier: no — Every call to action on the site is a booked demo, and onboarding is described as a dedicated implementation team explicitly instead of self-serve setup, so there is no way in without a sales conversation.](https://www.mavenagi.com/explore/ai-agents-roi-calculator) [View Maven AGI](https://theagentsindex.com/maven-agi) ### 6. IrisAgent AI support agents that resolve chat, email, voice and text inside your existing helpdesk. **Research coverage:** 33/35 criteria **Where it improves on Aide:** - [Runs autonomously: yes — Triggers can send an AI answer to the customer with no agent involved, and a resolution is only counted when no human handoff was needed; low confidence hands back to a person.](https://irisagent.com/managed-resolution/) - [Model choice: partial — The vendor calls itself model-agnostic but picks the defaults from its own leaderboard and routes on the buyer's behalf, so model selection is a vendor-configured choice rather than a self-serve setting.](https://irisagent.com/support-model-arena/) - [Free tier: yes — A standing $0 plan covers the IrisGPT chatbot, CRM connectors, automated tagging and email support, and sign-up needs no credit card or sales call.](https://irisagent.com/pricing/) **Trade-offs against Aide:** - [Agent permissions: partial — Autonomy is configurable per trigger: the same AI answer can be sent straight to the customer or posted as an internal note an agent approves, and enabling deflection everywhere is restricted to admins.](https://docs.irisagent.com/deploying-irisagent/Tickets) - [Admin controls: partial — Admins control whether AI answers reach customers at all and scope them with trigger conditions, and role-based access is described for the private deployment; no general policy-engine documentation was found.](https://docs.irisagent.com/deploying-irisagent/Tickets) - [Audit log: partial — A full audit trail on every interaction is promised for the private deployment; for the hosted plans only trigger activity counts over 1, 7 or 14 days are documented.](https://irisagent.com/on-premise-ai/) [View IrisAgent](https://theagentsindex.com/irisagent) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.