Questions worth askingbefore an agent touches real work.

A native AI agent is designed around a real business workflow and connected to the tools needed to complete it. Instead of only answering questions, it can research, prepare work, update systems, monitor results, and ask for approval before consequential actions.

Start with the job that is frequent, time-consuming, measurable, and currently owned by a clear person. Sales follow-up, outreach preparation, content production, website QA, and support triage are strong first workflows because the inputs and desired outcomes are easy to define.

Usually, yes. We design agents around systems such as your CRM, email, website, code repository, support desk, analytics, and advertising platforms. Discovery confirms what each system permits and the safest way to connect it.

Only if you explicitly design the workflow that way. We recommend human approval for outbound messages, public publishing, campaign launches, budget changes, code changes, refunds, and other actions that affect customers, reputation, or money.

It depends on the workflow, data, integrations, and approval requirements. We scope a focused first release around one useful job, test it with real scenarios, and expand only after the core workflow is reliable.

You do. The repository, documentation, and infrastructure configuration agreed in the engagement are handed to the client. Third-party frameworks, models, and services remain subject to their own licences and terms.

Support and maintenance are agreed separately and cover monitoring, updates, issue resolution, and improvements based on production feedback. Because you hold the code and the system runs on your infrastructure, you can also choose to operate it with your own team.