Kustomer

Kustomer specifies tool calling, and tools chain.

AI Agent Studio supports OpenAPI-defined tools with configurable authentication, each tool mapping to one API path and operation, with preset attributes pinning fixed values and reasoning attributes letting the agent infer values from the conversation, customer data, Knowledge Base content or previous tool output, which turns a set of calls into a sequence.

Kustomer documents agents reaching data beyond the platform into third-party systems, data sources and URLs, alongside prebuilt commerce integrations for Shopify, Magento and BigCommerce, social and voice channels, and an App Marketplace.

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Execution mode is a configured choice rather than a fixed architecture: Kustomer lets teams balance speed with accuracy by configuring AI to match each use case, using deterministic execution where guaranteed outcomes are required and probabilistic reasoning for complex scenarios needing contextual understanding, running on top of the platform's workflow automation and omnichannel routing. Agents progress from assistance to autonomous execution along the same configured ramp, and tool chaining through reasoning attributes lets one call feed the next within a resolution.

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A first-class Knowledge Base sits in the platform with its own SDK surface, and AI Agent Studio names Knowledge Base content explicitly as one of the sources an agent's reasoning attributes infer values from, alongside the conversation, customer data and previous tool output, so knowledge feeds tool execution rather than only answer text.

External ingestion is documented across public URLs, sitemaps and third-party systems including a Zendesk Help Center crawler, and Kustomer describes focused retrieval improving the accuracy of agent reasoning while reducing unnecessary data processing. The platform's positioning is the unification of knowledge management with the customer record.

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Operators set guardrails, failsafes and escalation controls, with thresholds that route high risk conversations to a human, layered on an explicit progressive autonomy ramp: teams start with high control and low autonomy and expand AI capabilities only as validated performance justifies it, moving from assistance to autonomous execution at their own pace.

That ramp makes the level of autonomy a configured position a team advances deliberately rather than a default it inherits. Observability is admin-only across both AI for Reps and AI Agents for Customers, so oversight has its own access boundary.

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Kustomer is SOC 2 Type II certified against the AICPA Trust Services Criteria, with the examination completed at zero exceptions, ISO 27001 certified, and HIPAA, GDPR and CCPA compliant, published through a trust center that releases the SOC 2 report and information security policies to customers and prospects under NDA and discloses subprocessors including AWS Bedrock as the AI inference layer.

Customer-facing controls cover granular per-user permissions and access management. Data is not used to train global models but may be used to refine models where AI is tailored to a specific customer.

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Decisions get traced, not just events: observability shows the reasoning, the procedures used and the step by step logic behind every AI action, with recommendations from an Observability Assistant on top.

That assistant performs agent trace analysis, summarizing what an agent did across reasoning, decisions, tool calls and knowledge sources in plain language, plus root-cause identification pinpointing bad tool calls, ambiguous instructions, missing context or incorrect knowledge selection, and recommended fixes before issues become customer-visible, with admin-only visibility spanning both AI for Reps and AI Agents for Customers. The Observability Assistant was announced in Early Access in December 2025 and now appears on the platform page without that marker.

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Kustomer is organized around the customer rather than the ticket, holding a persistent timeline of every interaction, order and activity that the agent works from, so context carries across conversations and channels and is addressable per customer. That timeline is the CRM record itself rather than a memory layer with its own scope and lifetime, and deleting it would delete the business record.

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No residency commitment, region, hosting provider or deployment option is published. Kustomer is delivered as multi-tenant SaaS and its AI runs on multiple enterprise model providers including AWS Bedrock, which is infrastructure disclosure rather than a residency commitment. 2026-09-05

Prebuilt agents come as a named set, adopted by role. AI Agents for Customers resolve tickets autonomously across email, chat and voice, and AI Agents for Reps act as a copilot summarizing conversations, drafting replies and handling wrap-up, both running on the platform's AI Reasoning Engine.

Alongside them sits a family of six AI Assistants included at no extra cost, among them an automation assistant that analyzes the whole automation setup for conflicts and an observability assistant for agent trace analysis. A buyer selects and enables these rather than authoring them.

The KIQ brand is retired, with KIQ Conversations discontinued in June 2025 and KIQ Customer Assist and KIQ Agent Assist folded into the current AI Agents products.

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Omnichannel is the platform's organizing premise rather than a channel list bolted on: AI Agents for Customers operate across email, chat and voice, with web chat, SMS and social carried by the platform's omnichannel routing layer, all working from one unified customer record so a conversation moving channel keeps its context. Kustomer has also extended agents to web forms, automating follow-up responses and actions on submissions, so the agent acts on an inbound form as well as a live conversation.

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More than one model family is in play, but the customer does not choose between them. Kustomer's AI runs on multiple enterprise model providers including OpenAI, Anthropic and AWS Bedrock, and the selection is described as Kustomer's own architecture rather than a customer-facing choice or routing control; the configuration surfaces the customer gets are role, tone, procedures and tools, not models. The current product runs on what Kustomer calls its AI Reasoning Engine, which replaced the KIQ brand retired in 2025.

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A full developer platform sits at developer.kustomer.com. Its core is a REST API reaching nearly every resource in the organization, a webhooks management API, a sandbox environment and an OAuth 2.0 client for delegated third party access. Developer tooling covers OpenAPI and Swagger specifications, an API Explorer, a GraphQL playground, Postman and Insomnia collections and free developer accounts.

Chat SDKs for web and mobile sit beside a Core SDK, and an App Marketplace publishes listing requirements for public apps. The Knowledge Base carries its own SDK surface, and AI Agent Studio accepts customer-supplied OpenAPI specifications, so the platform is both callable from outside and extensible from outside.

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Production is evaluated continuously across three named dimensions with a readable, comparable result. Kustomer automatically evaluates every AI interaction for accuracy, tone and compliance, and supports testing hundreds of conversations at once to confirm consistent performance, so a change can be exercised at volume rather than sampled.

The Observability Assistant closes the loop after deployment, identifying root causes such as bad tool calls or ambiguous instructions and recommending fixes before issues become customer-visible, and the automation assistant analyzes the whole automation setup for conflicts and optimization opportunities.

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No browser control, hosted session or computer use appears anywhere on Kustomer's product or help pages. Agents act programmatically instead: through OpenAPI-defined tools with configurable authentication, each mapped to an API path and operation, through prebuilt commerce integrations and through the platform's own CRM data model and channel layer, rather than by operating an interface.

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