A desktop app that gives every employee a personal AI assistant — connected to approved tools, learning from their work, and coordinating with other agents to get things done.
Bud Studio is a desktop app that gives every employee their own AI assistant — connected to the models, tools, and data their organisation has already approved. It's the consumption layer of the Bud ecosystem: where the AI you build actually reaches the people doing the work.
Instead of scattered chatbots and shadow AI, teams get one governed assistant that learns how they work, coordinates with other agents, and gets real tasks done — safely, inside your own environment.
A personal assistant that drafts, summarises, monitors, and automates routine work through plain chat — turning AI from a novelty into everyday leverage across the whole workforce.
Adoption at scaleEvery assistant inherits the models, connectors, permissions, and guardrails set in Bud AI Foundry — so employees get powerful AI without exposing data or bypassing enterprise controls.
Zero shadow AIAssistants coordinate as an agent network on your organisation's own infrastructure — consolidating fragmented AI point-solutions into a single, adopted, cost-controlled workspace.
Consolidated & cost-controlledAdministrators configure models, connectors, and guardrails in Bud AI Foundry. Employees consume that work through Studio, inheriting every restriction automatically.
Deploy models, build purpose-built agents, apply guardrails, and enable connectors — centrally governed.
Every employee gets a personal agent that runs on the organisation's own models and governance.
Every employee's agent is independent — its own memory, its own context, its own personality — playing two roles at once.
Monitors email, drafts minutes from finished calls, sets reminders, and updates task systems like Jira — treated as one of your assistants, all through chat.
Its own memory remembers feedback from everyday conversation and adjusts. Shape its personality too — playful, technical, or formal, whatever suits you.
Monitors email, drafts minutes of meeting, reminds you of what's due, and updates task systems — all from chat.
Remembers feedback from normal conversation and changes how it works. No settings screen — you just tell it.
Your agent reaches a colleague's agent for information — no manual back-and-forth. The capability that sets Studio apart.
An observability view into how agents talk to each other — who asked whom, and how they responded.
The same tools defined in Foundry. Authorise each with your own account — no raw credentials shared.
One-off, interval, or recurring tasks created from chat — like a morning routine that flags what's pending.
Defined procedures for repeated tasks. The agent follows a known flow instead of re-deriving it each time.
Turns repeated conversations into workflows automatically, then converts them into evolving skills.
Answers rendered visually where it helps — a price series shown as a chart, generated from the request.
Need something from a colleague? Ask your own agent. It reaches theirs, retrieves the information if permitted, and returns with the answer — no one has to be interrupted.
Agents communicate through an email-style inbox. You make requests from chat — the inbox is where you can look deeper into who asked whom, and respond directly if you choose.
Whatever the administrator enables in Foundry becomes available to your agent. You authorise each connection with your own account through a sign-in flow — raw credentials are never shared.
Studio watches the conversation, spots the procedures you repeat, draws them as a workflow, and converts them into a skill automatically. Change the flow and the skill updates.
Only repeated tasks become skills. One-off requests are ignored. Tell the agent to change the approach and the skill updates itself.
Where the content supports it, Studio renders a visual response instead of text — generated automatically from your request. The direction is for this to become the primary way answers are shown.
Studio is the consumption side. Control sits with the administrator in Bud AI Foundry — and Studio inherits it.
Admins publish models; users pick from what's published, chosen from chat.
Enabled and configured in Foundry; authorised per user without sharing credentials.
Set on model deployments in Foundry — including custom guardrails — and applied in Studio.
Admins control which tools each user and agent can access, including agent-to-agent behaviour.
Each user's agent can reach other users' agents to retrieve information and complete tasks, subject to permissions. Comparable assistants are standalone.
Administrators define which tools each user and agent can access — a level of permission control that is not common in comparable tools.
Repeated workflows become skills automatically and update as your process changes — no manual authoring required.
Studio is desktop-first so it can access the local file system and carry out tasks on your machine — something a web app cannot provide.
Desktop-first for local file system access, so Studio can carry out tasks on your machine. A web application is not currently offered.
Deploy assistants for every employee. Alongside their personal agent, they use purpose-built agents the organisation publishes — request leave, retrieve a salary slip, and more.
Ship Studio pre-installed on your systems, so the assistant is available to users out of the box.
Offer a Copilot-style or co-working assistant as the consumption layer — applicable as a product, not as infrastructure.
Give every employee an assistant that runs on your models, your governance, and your infrastructure — and coordinates across your whole organisation.