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AI agents for businesses

AI agents for businesses. Context and control.

An AI agent can retrieve information, analyze a situation and take actions in your company’s tools, following defined rules.

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Connected information, instructions and tools.

An agent can consult approved sources, follow instructions and use tools for specific tasks. Its scope depends on the quality of information and the permissions it receives.

Start with one concrete task.

I

Internal knowledge

Help find answers in approved documents and procedures.

II

Sales support

Prepare summaries or drafts using information available to the team.

III

Operational questions

Guide the team through processes and escalate cases needing human judgement.

Agents need boundaries, permissions and oversight.

We define what information an agent can access, which actions it can take, which cases it must escalate and how its outputs are reviewed. Sensitive or irreversible decisions keep human approval.

An agent is not always the answer.

If a workflow is fully predictable, a simpler automation may be more reliable. If information is unavailable or a task requires high-impact decisions without review, those issues should be addressed first.

Know what you will receive.

The proposal defines the deliverables for your project. Depending on the agreed scope, these can include:

  • Agent scope, authorized sources and permitted actions.
  • An agent configured and integrated with available access.
  • Agreed testing, oversight and guidance for the team.

What I need from your team: a process owner, representative examples and authorized access to the relevant tools and information.

How we evaluate the result: we agree on a baseline and acceptance criteria before implementation, such as time spent, errors, answer quality or follow-up completeness.

Timeline, investment, support and maintenance are defined case by case.

What task could an agent handle with context?

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The first conversation and preliminary review are free of charge.

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