Use cases
What teams build on Cruq AI
Cruq AI is the platform to build, run, and own AI agents. Teams use it across sales, support, operations, and voice - bringing their own model providers, designing agents visually or in code, and shipping to production with guardrails, memory, knowledge, and full observability. Below are the patterns we see most often.
AI sales agents
Build agents that qualify inbound leads, answer product questions from your own knowledge base, draft follow-ups, and book meetings. Because agents run on your own model provider keys, you control cost and data residency. Guardrails keep responses on-brand and on-policy, and every run is traced end to end so you can see exactly which tools the agent called and what it said. Connect your CRM and calendar as tools, and publish the agent behind a single API call or an embedded chat widget.
AI customer support agents
Ground a support agent in your docs, help center, and past tickets with retrieval-augmented knowledge bases, then let it resolve common questions, escalate the rest, and hand a clean summary to a human. Long-term memory lets the agent remember a customer across conversations. PII, regex, keyword, length, and JSON-schema guardrails redact or block sensitive content on both input and output, and observability captures token usage, latency, and cost per resolution.
AI data and operations agents
Automate internal workflows: triage and route requests, enrich records, run scheduled jobs, and call your internal APIs as tools. Agents can pause to ask a human for approval and resume where they left off, so a person stays in the loop for high-stakes steps. Compare models and prompt variants with eval suites and scored experiments before you roll a change out, so you ship the version that actually performs best on your own test cases.
AI voice agents
Power real-time voice experiences with streaming responses that emit tokens as they are generated. The same agent you build for chat can back a voice channel, reusing its tools, knowledge, memory, and guardrails. Runs stream over Server-Sent Events, so latency stays low and the caller hears a response as it forms rather than waiting for the whole answer.
Build your own
Every agent is a graph of prompts, tools, and model calls that you own and version. Start in the quickstart, call agents from the plan that fits your team, or drive the platform from the REST API and MCP server.
Get started
Ready to build agents you own?
Put an agent to work for sales, support, data, or voice. Start free, or talk to us about rolling Cruq AI out across your team.
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