An AI agent is software that can plan and carry out a sequence of steps towards a goal, using the tools and data it has been given access to. That makes agents well suited to routine, multi-step work that currently moves between people and systems.
Choose the right first process
Good candidates share a few traits. They happen often, follow clear rules with some judgement at the edges, draw on information spread across several systems, and have an outcome that is easy to check.
- Triage and routing of incoming requests
- Preparing summaries or drafts for a person to review
- Gathering information from several systems into one view
Design the human checkpoints
Decide up front which steps an agent can complete on its own and which need approval. A practical pattern is to let the agent do the gathering and drafting, and have a person confirm anything with financial, legal or customer impact.
Govern agents like production systems
Agents need the same disciplines as any other enterprise system: least-privilege access, an audit trail of actions, testing before release and monitoring after. Getting these in place for the first use case makes every later one faster and safer.
The goal is not autonomy for its own sake. It is reliable work, done consistently, with people focused on the decisions that need them.
The Scalo perspective
We help organisations identify the processes where agents add real value, then design and engineer them with governance built in, so they can move from pilot to production with confidence.