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Ada

by Ada Support

Enterprise AI agent that autonomously resolves customer support

AI AgentSupervised

Last reviewed 2026-06-18

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Ada is an enterprise AI customer support agent that resolves customer inquiries across chat, email, voice, and messaging. It runs on a Reasoning Engine that orchestrates multiple LLMs: for each customer message it interprets intent and context, decides whether to look something up or take an action, retrieves grounded knowledge, plans an action (such as updating an account or processing a refund), then drafts a response and runs a safety check before sending. It can take real actions via APIs, not just answer questions. Ada targets large brands handling high support volume that want autonomous resolution at scale with guardrails and human escalation. The company pioneered outcome-based pricing (charging per resolution) and later added per-conversation commitments. Within its configured guardrails Ada resolves many conversations end to end without a human, which makes it autonomous for well-defined request types and supervised overall.

What it can do

  • Autonomous resolution via the Reasoning Engine

    Autonomous

    Orchestrates multiple LLMs to understand intent, decide on a lookup or action, retrieve grounded knowledge, draft a reply, and safety-check it before sending, resolving many conversations without a human within guardrails.

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  • Take business actions via APIs

    Autonomous

    Executes operations such as processing refunds and updating account or CRM records through open APIs and SDKs, not just answering questions.

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  • Omnichannel deployment

    Supervised

    Runs the same agent across chat, email, voice, and messaging/SMS with shared logic and multi-language support, escalating to human agents when needed.

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  • Safety controls and continuous improvement

    Supervised

    Applies guardrails and monitoring to minimize hallucinations and keep responses aligned, with tooling to coach the agent and measure automated resolution over time.

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Strengths

  • +Reasoning Engine takes real actions (refunds, account updates) end to end, not just FAQ answers
  • +True omnichannel: chat, email, voice, and messaging with multi-language support and safety guardrails
  • +Outcome-aligned pricing tied to Automated Resolution, so spend tracks results

Limitations

  • −Enterprise-only with no public pricing; reported entry points are high and contracts are annual or multi-year
  • −Resolution-based billing can get expensive at scale, which pushed Ada toward per-conversation commitments
  • −Strongest for high-volume brands; overkill for small support teams

Overview

Ada is an enterprise AI agent for customer support that aims to resolve conversations end to end rather than suggest replies to human agents. It is positioned for large brands with high support volume.

What it does

Ada runs on a Reasoning Engine that orchestrates multiple LLMs. For each message it interprets intent and context, decides whether to look something up or take an action, retrieves grounded knowledge, plans an action (such as processing a refund or updating an account), then drafts a reply and runs a safety check before sending. It can take real actions through open APIs and SDKs, and runs across chat, email, voice, and messaging with multi-language support, escalating to humans when a request falls outside its guardrails.

Integrations & setup

Connects to helpdesk and CRM systems (Zendesk, Salesforce), commerce (Shopify), and contact-center platforms, with open APIs and SDKs for custom actions. It is model-agnostic, orchestrating multiple LLMs internally.

Pricing

Enterprise, contact-sales, no public rates. Ada pioneered outcome-based pricing, charging per resolution (reported around $1 to $3.50 each); facing demand for predictable budgets, it added per-conversation volume commitments. Reported entry points are in the tens of thousands of dollars per year (third-party estimates).

Best for / not for

Best for enterprises managing high interaction volume that need 24/7 autonomous resolution with guardrails and multi-system actions. Not a fit for small teams that want cheap, self-serve tooling.

Traction

Ada was founded in 2016 in Toronto by Mike Murchison and David Hariri and raised a $130M Series C at a reported $1.2B valuation. Customer case studies cite automated resolution rates in the 80s percent (for example a published 84% chat figure), though results vary by deployment and are vendor-reported.

Alternatives

Decagon and Sierra compete on autonomous enterprise support; Intercom Fin and Forethought are adjacent. For ecommerce-specific support see Gorgias.

What people are saying

We aggregate real LinkedIn discussion into sentiment for the agents people search most. Ada isn't tracked yet, want it added? Request tracking.

FAQ

Is Ada fully autonomous?+

Within its configured guardrails Ada resolves many conversations end to end and takes actions like refunds and account updates without a human, then escalates the rest. In practice it is a supervised agent with autonomous resolution for well-defined request types.

What is Ada's pricing model?+

Ada uses custom enterprise pricing with no public rates. It pioneered outcome-based pricing (charging per resolution, with reported figures around $1 to $3.50 per resolution) and later added per-conversation volume commitments. Reported entry points are in the tens of thousands of dollars per year (third-party estimates, not official).

Sources

Last reviewed 2026-06-18

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