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Use cases AI agents

Ask for a task. The right agent does it.

Ask in Claude or in Sticky. Opmore finds the role the task belongs to and the AI agent that works in it, and the agent works from the same know-how as your team.

Illustrative example : Someone asks in Claude: "Can you write this week’s customer newsletter?"

Claude · Opmore connectedNadia, Sales

NadiaCan you write this week’s customer newsletter?
StickyThat's the Marketing seat. Its owner is Sofia, and the Newsletter agent works in it. I've given it the task.

Behind the scenes

Opmore knows every role in the company, who owns it, and which people and AI agents work in it.

Ask in Claude or in Sticky. No need to know who does it.

Why it matters

Your agents don’t know how your company works.

58%

single-step success for leading AI agents on real sales tasks, with almost no sense of what is confidential.

Source: CRMArena-Pro, Salesforce AI Research, 2025

Every time you hand work to an AI agent you explain the same things: who owns it, how it’s done, when to stop and ask.

With OpmoreAgents work from your team’s written know-how and rules, and hand anything that needs a yes to a person.

  • Every role has an owner

    Your company tree says who owns each role, and which people and AI agents work in it.

  • Tasks find the right agent

    Ask for something and Sticky gives it to the agent in that role. You don’t need to know who does what.

  • Same know-how, same rules

    The agent reads the role’s steps and rules before it starts, and asks the owner before anything that needs a yes.

How to get started

Start with one role. Write down who owns it and how the work is done, then connect your AI agent to Opmore.

Give your agents the know-how your team has.