Quiq

Open connection to the customer's systems, stated without qualification. AI Studio publishes no-limit integrations connecting to any database, CRM or business tool, and separately that the platform pulls from existing customer records and business systems securely, so the agent reads and acts against the enterprise's own records rather than a copy. Named enterprise systems include Salesforce, Zendesk and ServiceNow.

The developer surface backs the claim rather than leaving it as marketing: a documented REST API and webhooks let a customer's systems both call in and be notified, and full-code development paths sit alongside the no-code builder. A Carahsoft partnership carries the same platform into government procurement.

Sourcequiq.com/platform/ai-studioread 2026-09-05

Goal-directed multi-step execution with one agent spanning channels. Quiq's AI Agents are published as goal oriented, completing complex multi-step tasks through Process Guides rather than hard-coded scripts, so the agent works toward an outcome and chooses its path rather than following a decision tree.

A single agent deploys across messaging, voice and email simultaneously, and Quiq cites a global retailer running one agent across four brands, seven countries and four channels at once, adapting to each brand's voice in real time, which is orchestration across a matrix rather than a single flow.

Agentic workflows, customer-facing AI Agents and agent-facing AI Assistants are presented as one connected system, and AI Studio builds them with no-code, low-code or full-code paths.

Sourcequiq.com/agenticairead 2026-09-05

A maintained corpus the customer supplies, with ingestion handled for them. AI Studio publishes that a customer brings their content as-is and Quiq structures and prepares it automatically, so the knowledge base is the enterprise's own material rather than a rewritten copy, and that the platform connects enterprise data by pulling from existing customer records and business systems securely.

Answers are generated from that company knowledge and data rather than from model recall, and the same corpus serves agents across every channel a single agent runs on. No index, refresh cadence, chunking or source level citation is documented, so the retrieval structure is asserted rather than described.

Sourcequiq.com/platform/ai-studioread 2026-09-05

Verification before delivery, which is a gate on the agent's output rather than a review after it. Quiq states that every AI decision is verified before reaching the customer, through guardrails, claim verification and full decision logs, so an unsupported claim is caught before a customer sees it.

Alongside that sits first-class human handoff into the Digital Engagement Center carrying the complete interaction history, so a person picks up mid-journey without the customer repeating themselves, and AI Assistants keep humans in the loop on the agent side. Conversation Analyst closes the loop by auditing whether a human contradicted the AI or a customer was asked to repeat information after escalation, which is oversight of the handoff itself. Verification is automatic rather than a human approval queue, so no person signs off each action.

Sourcequiq.com/agenticairead 2026-09-05

Attestation and access controls both sit on first party pages. Quiq cites SOC 2 Type II certification and HIPAA compliance, with GDPR and CCPA stated alongside, supported by regular penetration testing, real-time intrusion detection, encryption in transit and at rest, a defense-in-depth posture, and background checks and mandatory training for all employees and contractors. A security whitepaper is offered for download.

The administration documentation names access controls the buyer sets in their own tenant, including a Require Two-Factor Authentication toggle enforcing 2FA for all users, domain whitelisting restricting which domains may be used, IP address range restrictions on agent applications and APIs, and email domain checking applied when creating or updating users and bots. No trust center or obtainable report is published, so the certifications are asserted rather than evidenced.

Sourcequiq.com/platform/securityread 2026-09-05

Per-turn visibility plus continuous production auditing. Quiq publishes full decision logs as a named component of its governance layer, so every AI decision leaves a record of what was decided and on what basis, and AI Studio's simulation shows exactly what the AI is doing at each turn of a conversation, which is a reasoning trace rather than an outcome count.

In production, Conversation Analyst audits voice, chat and SMS interactions continuously against customer-defined KPIs instead of sampling, catching specific failure shapes the vendor names, including a human contradicting the AI or a customer being asked to repeat information after escalation. Version control adds a record of what was live when, with responses comparable across versions.

Sourcequiq.com/agenticairead 2026-09-05

Context follows the customer; a memory layer belonging to the agent is not documented.

Quiq's strongest published claim here is cross-channel continuity: a customer can start on chat, move to a phone call and land with a human agent while context travels the whole way, the human sees the full interaction history, and a single agent adapts to each customer's history in real time across brands and channels. That continuity is real.

This is continuity within a journey plus retrieval against stored interaction history, not state the agent forms and retains with a documented scope, lifetime or deletion control, and no memory product appears anywhere in the platform.

Sourcequiq.com/agenticairead 2026-09-05

Regional infrastructure is documented first-party; customer selection of it is not.

Quiq's security page describes a fault-tolerant design with redundancy across three or more data centers in each region, which establishes that the platform runs in more than one region and that a customer's data sits in one of them, alongside auto-scaling and a microservices architecture.

No page names the regions, offers a customer-selectable region, or describes moving between them, no self-hosted, private-cloud or single-tenant option is offered anywhere, and whether a region is chosen at provisioning is not stated.

Sourcequiq.com/platform/securityread 2026-09-05

Named product classes and industry pages, but no catalog to browse. Quiq ships AI Agents facing customers and AI Assistants supporting human agents as distinct product types, with industry solution pages for retail, travel and hospitality, consumer services and financial services, so a buyer sees their use case represented before they build.

No agent library, template gallery or marketplace a customer browses and puts into service is documented, and Quiq's own account of the build route points the other way, since AI Studio is presented as where agents are built with no-code, low-code or full-code tooling and Process Guides define behavior per task.

Sourcequiq.com/platform/ai-studioread 2026-09-05

Breadth with a single agent behind it, plus a documented proactive path. Coverage spans voice, web chat, SMS, WhatsApp, email and social messaging, with Voice AI launched in May 2026 completing the set and context carried across every channel rather than each running its own bot; Quiq cites one agent serving four channels across seven countries simultaneously.

Initiation is not only inbound: the developer documentation publishes Conversation Starter, a browser client adding a chat UI with Proactive AI to a website, so the agent can open a conversation on a page rather than wait to be asked, and webhooks let an external system notify the platform of an event.

Sourcequiq.com/agenticairead 2026-09-05

The customer picks the model, and can mix several inside one workflow. Quiq's AI Studio page publishes it in its own words: select from leading AI models and mix and match them within a single workflow, with no vendor lock-in and the ability to switch models at any time without rebuilding the setup. That is per-step selection by the buyer plus a stated migration path, not a vendor-internal routing layer. Redundancy across the model layer supports uptime.

Sourcequiq.com/platform/ai-studioread 2026-09-05

A public developer surface with a machine-readable layer. Quiq publishes documentation at developers.quiq.com covering a REST API for building chat applications on any platform, webhook event notification, a browser-based client for chat and messaging channels, a guide for developing custom bots, rich message formats, and AI Studio for building serverless AI assistants.

AI Studio itself offers no-code, low-code and full-code development paths and states no-limit integrations connecting to any database, CRM or business tool. The machine-readable layer is worth naming: knowledge.quiq.com publishes an llms.txt indexing every documentation page in Markdown with endpoints in OpenAPI, and appending.md to any documentation URL returns its markdown form. The llms.txt is a map of the documentation rather than a source in itself.

Sourcedevelopers.quiq.com/docs/homeread 2026-09-05

A complete release pipeline plus continuous production auditing. Before launch, AI Studio publishes simulation showing exactly what the AI is doing at each turn of the conversation, organized testing that groups tests by scenario so updates do not introduce regressions, and built-in version control that compares responses across versions and rolls back at any time.

Comparing responses across versions is a readable comparable result, and scenario-grouped regression suites are a gate a change has to pass. After launch, Conversation Analyst, shipped November 2025, replaces manual quality sampling with continuous auditing of voice, chat and SMS interactions against KPIs and prompts the customer defines, so every interaction is scored rather than a sample. The artifact under test is the customer's own agent throughout.

Sourcequiq.com/platform/ai-studioread 2026-09-05

No browser control, hosted session or interface automation appears on any Quiq surface. Agents act through software rather than screens. They connect to any database, CRM or business tool, act against existing customer records and business systems, and reach people over voice, chat, SMS, WhatsApp, email and social. The browser-based component Quiq does publish is a client library that renders a chat UI on the customer's website, which is Quiq presenting an interface rather than an agent operating one, and the distinction is worth stating because the two read alike in a feature list.

Sourcequiq.com/agenticairead 2026-09-05