Use cases
Shared AI agents for every team that works one problem together
Anywhere a team already crowds around one problem, it can share one AI agent instead of a dozen private chats. Vrittara ships playbooks for six kinds of team, each with a review checklist the server enforces before a result can be approved.
Engineering teams
Vrittara gives an engineering team one AI agent session everyone can see. The agent drafts a spec or investigates an incident in the open, any engineer can redirect it mid-run, and the tech lead approves the result only after the checks the team relies on are ticked.
Sales teams
Vrittara lets an account team work a deal with one shared AI agent. The agent builds the deal brief or proposal in the open, the AE, SE and manager can all redirect it, and nothing is approved until someone confirms the pricing, names and promises are right.
Support teams
Vrittara gives a support team one AI agent session per ticket that everyone can see. The agent works out what is happening, writes reproduction steps and drafts the reply, engineers and leads can steer it, and a person checks the tone and any promises before approval.
Legal teams
Vrittara lets a legal team draft or review a contract with one shared AI agent. The agent brackets every name, date, amount and jurisdiction it was not given, flags departures for counsel instead of deciding them, and the draft cannot be approved until the parties and governing law are confirmed.
Finance teams
Vrittara gives analysts one AI agent session to build a model together. The agent lays out an assumptions table with sources, the formulas and each scenario in the open, teammates correct inputs as it runs, and totals must be recomputed independently before the model is approved.
Marketing teams
Vrittara lets a marketing team plan and ship a campaign with one shared AI agent. The agent drafts the core message, a dated channel plan and the copy for each channel in the open, anyone can redirect it, and every product claim must be substantiated before approval.
New to the idea? Start with What are multiplayer AI agents?, or see how a shared agent compares with chat links, group chats and solo agents.