The next step, from plans already proven.
In a familiar situation, the next step comes at once, from a plan that has worked before.
Planning and decision support. It runs Automatically, in familiar situations. In the Agent Operating System, it brings each agent the right context and decides each step before anything runs.
Familiar situations get a proven step. New ones get your AI.
When the situation matches a plan that has worked, the next step comes at once. When it does not, your AI works it out, briefed with what MS Duplex knows.
A supplier statement does not match the ledger, as often happens, so a proven plan gives the next step.
Today’s new situation is next month’s proven plan.
A plan your AI works out, once confirmed, becomes one MS Duplex can reach for the next time the same situation comes round.
A payment arrives in a currency the team has never used.
A proven plan still runs inside your controls.
A proven plan speeds up the next step, and your approvals apply as before: anything that needs sign-off gets it.
The situation matches a plan that has cleared it before.
Sees what an action will do.
MS Duplex learns how your systems respond, so it can tell what a step will do and find the shortest route to a goal. Real steps still run through your controls.
- What an action will do, before it runsYour team sees what a change will do to your systems before anyone makes it.
- A sequence of steps, played forward firstA plan is tried out first, so a dead end is found before it costs anything.
- The shortest route to the goalWork reaches its goal in fewer steps, with fewer model calls along the way.
- The next step, from plans already provenIn a familiar situation, the next step comes at once, from a plan that has worked before.
See it on your own work.
From your own assistant to every agent your company runs, a pilot puts MS Duplex on your own work, with the measures agreed before it begins.