AI automation use cases
What to build and sell with managed AI agents. Pick the job to be done, then deploy from a template and run it per client on Qoren. The same five workflows serve real estate, e-commerce, local services, and professional services alike; the offer changes, the agent barely does.
By job to be done
The workflows agencies sell most. Each maps to ready-made templates you can deploy per client, whatever the client's industry.
Lead follow-up
Most leads go cold because no one follows up fast enough or often enough. An always-on agent responds in minutes and keeps following up on a schedule, so more leads turn into conversations.
Customer support
Most support volume is the same handful of questions. An agent can triage incoming messages and draft or send replies, so the team only handles what truly needs a person.
Review monitoring
Reviews shape whether local customers choose a business, but they are easy to miss. An agent watches for new reviews, flags the ones that need attention, and drafts responses.
Business reporting
The numbers already exist in the business's own systems. An agent pulls them on a schedule, writes a plain-language summary of the KPIs the owner already tracks, and sends it before anyone has to ask.
Research monitoring
Everything outside the business moves on its own schedule: competitors ship, prices change, regulations land, tenders open. A monitoring agent watches the outside world and delivers a sourced summary of what actually changed.
Build your first client automation.
Pick a use case, start from a template, and deliver it per client. Plans from $39/mo.
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