Build AI Agents

Quiq AI Studio is the tool to use when you build, test, and deploy AI agents, whether your team builds them directly or works with Quiq’s team to do it. It handles the full agent lifecycle: workflow design, testing, deployment, and monitoring, all with the guardrails enterprise teams need. Within AI Studio, you can design workflows that manage complex, multi-step conversations and connect to any database, CRM, or business tool your team already uses. Brinks Home used AI Studio to build AI-powered digital journeys for payments, troubleshooting, and onboarding, cutting cost per interaction by 67%. Whether you write full code, work in low-code tools, or build without code at all, AI Studio adapts to your team’s skill set rather than requiring a specific one.

No. AI Studio supports no-code tools for building agents, along with low-code options and full code access for teams that want deeper control. That flexibility means business analysts, CX managers, and engineers can all work in the same platform, at whatever level of technical depth their project calls for. Non-technical teams can define workflows, connect data sources, and set guardrails without writing a line of code, while engineering teams can extend and customize further when needed. This matters because AI agents shouldn’t require an engineering team standing by for every change. If you’d rather have Quiq build it with you, that option exists too: Quiq’s team can build alongside yours or hand the build over entirely, depending on how hands-on you want to be.

AI Studio includes a built-in test console that shows exactly what your AI agent is doing at each turn of a conversation, including intent classification and the response it plans to send, before anything reaches a customer. You can group tests by scenario so new updates don’t introduce regressions elsewhere, compare responses across versions, and roll back changes at any time. This step-by-step visibility is part of what Quiq calls Verified Intelligence: every AI decision is checked against your data before it ships, rather than asking you to trust the model’s output. For enterprise teams, that means you can validate an agent’s behavior against real scenarios, like store hours, order status, or account changes, before it’s customer-facing, not after something goes wrong.

No. AI Studio is built to work with your content as it already exists. Its Transformations feature takes your help center articles, internal FAQs, product documentation, and knowledge base as-is and automatically restructures them into the help statements and customer questions your AI agent needs to answer well. Rather than requiring a large, manual data cleanup project before launch, Quiq handles that structuring work for you, which is part of why customers like Brinks Home and Roku have been able to launch AI-powered digital journeys without waiting for their content to be “AI-ready” first. You can connect existing customer records and business systems securely, and Quiq’s compliance controls (SOC 2 Type II, HIPAA, GDPR, CCPA) apply to that data from day one.

No. AI Studio is model-agnostic, so you can select the best AI model for each individual task and mix models within a single workflow, rather than committing to one vendor’s model for everything. For example, you might use one model for simple, high-volume classification tasks and a different one for more nuanced customer conversations. If you switch models later, whether to save on cost, chase better performance, or meet a new compliance requirement, you don’t have to rebuild your setup to do it. Quiq also supports bringing your own fine-tuned model for specific, high-volume tasks. This flexibility matters for enterprise teams who don’t want their customer experience roadmap tied to a single LLM provider’s release schedule.

AI Studio has data privacy controls built into the platform, covering SOC 2 Type II, HIPAA, GDPR, and CCPA requirements, so compliance isn’t something you bolt on after the fact. Every AI decision is also verified before it reaches a customer: Quiq’s proprietary Verify Claim feature cross-references responses against your grounded data before a message is sent, which helps prevent the kind of AI hallucinations that create real risk for regulated industries. Combined with detailed, step-by-step decision logs, this gives compliance and security teams an audit trail for how the AI reached each conclusion, not just the final output. Enterprise customers use these controls to deploy AI agents in industries like healthcare, financial services, and insurance where data handling requirements are strict.