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WorkLLM is an AI workflow automation product for teams. It takes the tasks a team already repeats, such as prospecting, campaigning, hiring, product development, delivery, and market research, and turns them into AI-powered workflows that live inside the product. Once a task is set up as a workflow, anyone on the team can run it and get consistent results. There is no prompt writing and no copying between tabs. The product addresses a common problem in how teams use AI today. AI is mostly treated as a chat window. Someone opens a tab, types a prompt, copies the answer into a document or an email, and repeats the same steps the next day. That effort is never saved, shared, or reused, and output still depends on the few people who know how to prompt well. WorkLLM changes that way of working. Everyday tasks become repeatable workflows the entire team can run, so consistent quality no longer rests on a handful of individuals. In short, WorkLLM is where a team’s everyday work gets automated with AI, together, in one place.

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Who it is for

WorkLLM is designed for small teams and agencies, where individuals typically cover several responsibilities instead of specializing in one area. The internal positioning notes describe WorkLLM as the layer that closes the gap between a small team and a big one. The core proposition is that a team does not need to grow headcount to increase output. By turning everyday work into AI-powered workflows, a team of ten can produce at the level of fifty. The product is also built for people without prompting or technical backgrounds. It asks users to select a task they already understand, rather than requiring them to learn AI first.

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The features

Ready-made

Agents built for common team jobs. Pick one, add details, and run it in one click.

AI Agents

Build your own for tasks with specific steps and rules, run by anyone on the team.

AI Chat

Compare 200+ LLMs side by side. Share threads to co-prompt and comment.

Integrations

Connects with the tools your team already uses, so workflows act on real work.

Organization Memory

Company knowledge, documents, decisions, and past work, applied automatically to AI conversations.

Security

Workspace access controls and administrative capabilities for managing how teams use AI.

Data Privacy

Conversations draw on shared organization memory. Contact the WorkLLM team for privacy details.

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Get started

  1. Sign up at https://app.workllm.io/sign-up, join the workspace, and invite your team.
  2. Pick one task you want to automate.
  3. Run a ready-made agent or create a new one by just prompting in plain english.
  4. Share the thread so teammates can co-prompt and comment.
  5. Once the workflow proves itself, make it the standard way that task is done.

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FAQs

No. WorkLLM is built for teams without technical, AI, or prompting experience.
No, you are not limited to a single model. AI Chat provides access to 200+ LLMs with side-by-side comparison, so you can check which one produces the better answer before committing.
Yes. Shared threads, co-prompting, and comments are part of how WorkLLM works.
Ready-made AI Agents are already built for common team jobs like drafting outreach, researching a market, or summarizing documents, and the pitch deck describes running them in one click. Agents you build yourself are set up once for a task with specific steps and rules, and anyone on the team can run them after that. The deck describes three kinds to build: knowledge-based agents that answer from company material, task-based agents that complete a specific job, and workflow agents that run an entire process.
The tasks your team already repeats. The materials name prospecting, campaigning, hiring, product development, delivery, and market research as examples. Once a task is set up as a workflow, anyone on the team can run it and get consistent results.
The workspace holds company knowledge, documents, decisions, and past work, and AI conversations draw on it automatically. That is why answers come back grounded in your business instead of generic internet text. The materials do not spell out approval or permission steps, so confirm those details with your workspace admin.
That is what Integrations is for. Workflows are built to connect with your existing tools so they can act on real work instead of stopping at a draft. The internal materials describe the capability but do not name specific apps, so check the current integration list with your workspace admin before relying on any particular connection.
With a chat window, someone types a prompt, copies the answer into a document or an email, and repeats the same steps the next day. None of that effort is saved, shared, or reused, and output still depends on the few people who prompt well. In WorkLLM, the task becomes a repeatable workflow the entire team can run.
Sign in and join the workspace, then pick one task the team repeats often. Prospecting outreach is a good first choice. Run the ready-made agent or workflow for it instead of starting from a blank prompt, and share the thread so teammates can co-prompt and comment.