Frequently asked questions
What you need to know before we start.
Straight answers about how we design, connect, and support each agent.
How is an AI agent different from a chatbot?
A chatbot answers questions. An agent can query approved systems, apply business rules, complete a sequence of steps, and deliver a result inside a defined workflow.
Which tools can an agent connect to?
It can connect to the tools already used in your operation, including CRMs, databases, email, messaging, documents, and internal platforms, as long as they provide a secure access method.
Do we need to replace our current software?
Usually not. The goal is to make better use of your current stack and connect systems that are isolated today. We only recommend a change when a technical limitation makes a reliable workflow impossible.
Which process should we automate first?
We start with a frequent process that follows recognizable rules and produces an output that is easy to verify. That lets us prove value, learn with the team, and expand the scope carefully.
How long does it take to implement an agent?
It depends on the workflow, the quality of the data, and the integrations involved. After the discovery session, we define a phased scope and provide a concrete estimate.
How do you protect our data and access?
We design each integration with permissions limited to the workflow, separate credentials, and a clear audit trail. The architecture adapts to your company’s policies and constraints.
Can a person review the work before the agent acts?
Yes. Sensitive steps can require human approval, while low-risk tasks run automatically. We define the right level of autonomy with your team.
What happens when our processes change?
The agent can adapt to new rules, tools, or responsibilities. We also define who owns the workflow and how improvements are managed so it keeps delivering value over time.