Use AI agents to carry out multi-step tasks across your existing software, with defined permissions, human approvals and visibility into each action.
Let’s talk about your AI projectAn AI agent gathers information and uses approved tools to carry out steps towards a goal. Its value comes from completing the right task within reliable boundaries, with an appropriate level of human control.
A sales follow-up can involve reviewing CRM activity, checking a quote and identifying missing actions. An agent can prepare this information while the representative reviews priorities and approves any customer communication.
An illustrative scenario; connections and scope are defined for each project.
Reading records, creating entries and sending information carry different risks. We define the tools an agent may use, action limits and steps requiring approval. Content found in a document is treated as data, not permission to change the agent’s behaviour.
Plan human review for critical actions and actions that are difficult to reverse.
An API outage, missing field or uncertain result needs a defined stopping point and handover. Duplicate prevention, time and cost limits, action logs and tests using representative tasks are considered together.
A dependable workflow remains understandable when something goes wrong.
An agent can coordinate multiple steps within defined permissions: review customer history, check a proposal and prepare a follow-up plan.
Explore the details“Review this customer’s status and prepare a follow-up plan for the sales team.”
Your team stays in control of critical actions.
Tell us about your processes, data and challenges. Together, we can identify a practical first use case.