Cresta

As a single intelligent layer over telephony, chat, CRM and knowledge systems, Cresta also takes action in them: agents connect to CRM, billing and scheduling systems through secure API based function calling, and the published product example is an AI Agent disputing a fraudulent charge, replacing a lost card and shipping it to a new address. Integrations has its own page on the platform menu, and Cresta states it does not require ripping out existing telephony.

Sourcecresta.com/integrationsread 2026-09-05

Opera, the no-code orchestration layer on the platform menu, runs multi-step work, and the AI Agent lifecycle has its own set of surfaces, Discover, Build, Test and Deploy, Optimize and Omnichannel, with an Agent Operations Center for production. The published example runs a complete chain in one conversation, disputing a fraudulent charge, replacing a lost card and shipping it to a new address, and guided workflows route an interaction through an approved procedure step by step.

Sourcecresta.com/operaread 2026-09-05

Knowledge lives in a store Cresta maintains itself: content is consolidated and synced from multiple systems into a single source of truth with centralized management and real-time delivery, and the same store serves both human and AI agents. Answers are cited and grounded in approved knowledge rather than open-ended generation, with guarded output and custom redaction applied on top.

Sourcecresta.com/knowledge-agentread 2026-09-05

Cresta's controls apply before and during the action: agents run inside an approved scope of intents and actions with blocks on commitments they should not make, advanced guardrails against hallucination, guided workflows that hold an interaction to approved playbooks, and custom PII redaction. The trust page adds built-in quality and risk controls, with every model subject to post-processing, double-checks and live performance tracking. The approved-scope and refund-block detail is on the AI Agent product page.

Sourcecresta.com/trustread 2026-09-05

Cresta documents both its compliance posture and its access controls on a live SafeBase trust center. It holds ISO/IEC 27001, 27701 and 42001:2023, plus SOC 2 and SOC 3, and covers HIPAA, PCI DSS and TISAX, with GDPR, CCPA and CPRA for privacy. Audit reports and certificates are available through a request path, alongside a published red teaming report, a HIPAA report, a network diagram, and SIG Lite and VSA Core self-assessments.

A dedicated access control section covers logical access control, multi-factor authentication under product security, and separate databases per customer with no data commingling. Supporting practices include a secure development lifecycle, third-party penetration testing scored with CVSS, a responsible disclosure program triaged within 24 hours, and active subprocessor and vulnerability notification feeds.

Sourcetrust.cresta.comread 2026-09-05

Explainability is built into Cresta's models, using Chain-of-Thought and Model-based Critique to make AI outputs interpretable and accountable, with every model subject to post-processing, double-checks and live performance tracking, per the trust page. Conversation Intelligence, Insights, AI Analyst, Quality Management and Coach are named products that analyze every conversation rather than a sample, and an Agent Operations Center monitors agents in production.

Sourcecresta.com/trustread 2026-09-05

Shared memory keeps critical context across channels, handoffs and between human and AI agents, and customer history and preferences personalize each interaction into one continuous conversation, per the AI Agent product page. That names a scope, the customer journey, but no lifetime, retention or deletion path is published, and docs.cresta.com carries a login and training index with no memory page.

Sourcecresta.com/ai-agentread 2026-09-30

No residency, regional hosting, VPC, single-tenant or self-hosted option is published.

The trust center is public and detailed: its infrastructure section names Amazon Web Services, its subprocessor list names OpenAI, Deepgram, Datadog, Cloudflare and Google Cloud, and it carries sections for data security, access control, network security, legal and infrastructure, none with a residency entry. No region menu appears there or anywhere in the site navigation.

Cresta's LLM information page says the platform is available on Google Cloud and Amazon Web Services, a claim no product or legal page repeats, and that describes where Cresta runs rather than a choice the buyer makes.

Sourcetrust.cresta.comread 2026-09-05

Cresta sells a named set of prebuilt agents and assistants the buyer adopts as units, each with its own product page: AI Agent with Discover, Build, Test and Deploy, Optimize, Omnichannel, Agent Operations Center and AI Receptionist; Agent Assist with Knowledge Agent, AI Summaries, Behavioral Guidance and Typing Efficiency; and Conversation Intelligence with Insights, AI Analyst, Automation Discovery, Coach, Quality Management and Training Simulator. There is no browsable marketplace of cloneable agents.

Sourcecresta.com/trustread 2026-09-05

Work reaches Cresta from the customer's existing CCaaS and telephony estate as well as from surfaces Cresta owns. Omnichannel is its own product under AI Agent, covering voice, chat, SMS and email, each optimized for the channel's demands, an AI Receptionist page covers inbound call handling, and Cresta states it does not require ripping out existing telephony. Knowledge Agent also listens continuously through a live conversation.

Sourcecresta.com/ai-agent-omnichannelread 2026-09-05

Several model providers sit behind the product: Cresta's subprocessor list names OpenAI and, in a later notification, Anthropic as natural language API providers, Fireworks.ai for LLM model inference, and Deepgram, ElevenLabs and Cartesia AI for speech. Routing is internal to Cresta, and no model selection, override or bring your own model control is offered to the customer. Google Cloud, Cloudflare and Datadog on the same list are infrastructure rather than model providers.

Sourcetrust.cresta.comread 2026-09-05

Model Context Protocol support is stated, but whether it exposes Cresta as an MCP server a customer can build on or connects Cresta to the customer's own servers is not published. API based function calling links Cresta to the customer's CRM, billing and scheduling systems, which reaches outward rather than extending Cresta itself. No public API reference or SDK for Cresta's own platform appears in the site navigation, which links a Help Center at docs.cresta.com.

Sourcecresta.com/integrationsread 2026-09-05

Testing ships as named product surfaces: Synthetic Customers sits on the platform menu beside a Test and Deploy stage in the AI Agent lifecycle, which runs Discover, Build, Test and Deploy, then Optimize, with a Training Simulator under Conversation Intelligence and an Agent Operations Center for production. Agents run against edge cases, adversarial scenarios and synthetic customers built from historical conversation data before deployment, and optimization continues afterwards. What gets tested is the customer's own agent.

Sourcecresta.com/synthetic-customersread 2026-09-05

Knowledge Agent reads the browser rather than driving it. It runs as a persistent browser-based panel that follows the human agent, incorporates real-time browser context such as account status, order history or loyalty tier, and surfaces cited answers and step-by-step guided workflows so the agent sticks to approved playbooks. The person takes every action, and no Cresta page describes the agent operating an interface itself.

Sourcecresta.com/knowledge-agentread 2026-09-05