Support

qiant.ai Help Center

This help center summarizes common questions for teams planning AI Agent, workflow automation, customer service, video production, and financial analysis projects with qiant.ai.

Simplified guide for AI Agent projects

Getting started

Submit a requirement form and describe the repetitive workflow, customer journey, or reporting process.
Our team reviews the goal, data sources, required integrations, and expected launch timeline.
We usually start with a focused pilot before expanding into a larger automation layer.

AI Agent setup

Define the Agent role, allowed actions, knowledge sources, handoff rules, and approval points.
Prepare sample conversations, documents, SOPs, reports, or workflows for testing.
Review results with your team before production launch.

Customer service and voice workflows

We can design FAQ replies, ticket routing, CRM updates, call intake, appointment booking, and escalation flows.
Human handoff is recommended for sensitive, high-value, or unclear cases.

Integrations

Common integrations include CRM, calendar, email, forms, knowledge bases, webhooks, internal dashboards, and chat tools.
Enterprise projects can include API review, permission design, and data handling controls.

Billing and enterprise projects

Pricing depends on project scope, workflow complexity, data sources, integrations, support level, and launch requirements.
Enterprise work can include SLA, security review, onboarding, training, and ongoing optimization.

Troubleshooting

If an Agent gives incomplete answers, check whether the knowledge source is complete and up to date.
If automation fails, review API credentials, field mappings, webhook logs, and required permissions.
If results drift, schedule review cycles and update prompts, examples, or SOPs.