In this guide
Seeing is not the same as doing
A dashboard gives people a view of what is happening: numbers, charts, statuses. It is useful. It is also where a lot of work stops.
Someone sees that a request is overdue. Then they open another system to find the file, a third to check the history, and their email to chase the person who has it.
Some dashboards let people act directly. The gap we focus on is where people still have to leave the view and reconstruct the case elsewhere.
In short
A dashboard shows what is happening. A workspace brings together the work, the AI agents, the decisions and the activity, so people can act on what they see in the same place.
What a workspace brings together
An agentic workspace is built around doing the work, not just reporting on it. It brings together:
- The work queue: what needs doing, in what order, and who or what is on it.
- The agents: what each AI agent is working on, within its role and limits.
- The decisions: the items waiting for a person's judgement or approval.
- The activity: a record of what happened, who did it and why.
- The systems underneath: the records and tools the work depends on.
From one place, people can inspect what is happening, make decisions, delegate work to an agent and step in when their judgement is needed.
Seeing the problem and solving it should happen in the same place.
People and agents in the same place
This matters most when AI agents are involved. If agents work out of sight, people cannot see what they did or step in when something looks wrong. In a workspace, the agents' work sits next to everyone else's, under the same rules and on the same record.
That is what we mean when we say we build workspaces, not dashboards. What is agentic software? explains the wider model, and Clicking a button is rarely the real outcome shows how a decision is carried through.
Questions
Frequently asked.
No. Dashboards are good at showing what is happening, and some let people act directly. The problem is when seeing an issue and acting on it happen in different places, so people have to carry the context from one to the other.
Typically the work queue, the AI agents and what they are doing, the decisions waiting for a person, a record of activity and the systems underneath. People can inspect, decide, delegate and step in from one place.
Not necessarily. A workspace usually sits over the systems you already rely on, so the work can move between them without people re-keying it.
Written by
Mare Pomana
Plumb Digital