AI platform built for real company workflows

WorkLLM provides one AI platform with organization memory, AI agents, LLM models, work data and team collaboration, so everyone can use AI in their daily work without new tools, complex setup, or AI expertise.

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WorkLLM AI workspace Architecture

Inside the WorkLLM AI Platform

Every layer removes a specific barrier to AI adoption. Memory gives AI context on your business. Orchestration puts the right model behind every task. Agents get the work done, not just answer questions. Collaboration turns individual wins into team wins. Integrations keep it all connected to the tools you already use.

The AI Platform Layers

Layer 01: Organizational memory

WorkLLM provides shared memory layer across your company, so AI starts with the right context instead of a blank page. Good work becomes reusable knowledge that compounds over time.

  • Five tiers of memory: thread, personal, project, team, org
  • One-click save to memory from any output

Layer 02: Model orchestration

Access 200+ AI models in one workspace and pick the best model for each task. Compare results side by side and avoid vendor lock-in as models evolve.

  • ChatGPT, Claude, Gemini, Llama, Mistral and many more
  • Run up to four models on the same prompt to compare answers
WorkLLM - Multiple Models

Layer 03: AI agents

In WorkLLM AI platform, ready-made agents handle everyday work so everyone can do tasks with AI without prompting expertise. Workflow agents can also run automatically based on events or schedules.

  • Knowledge-based agents answer questions and surface context from memory and connected data
  • Task-based & workflow agents draft, summarize, research, and run on events or schedules
WorkLLM - AI Agents

Layer 04: Team collaboration

WorkLLM makes AI outputs visible and reusable across the company. Teams can co-prompt, give feedback, and turn great results into shared assets.

  • Share or co-prompt in real time and keep everyone on the same page
  • Comment on outputs to add context, feedback, and next steps
WorkLLM - Team Collaboration

Layer 05: Integrations

Connect the tools your teams already use so AI has the right context from day one. WorkLLM pulls data securely from your stack instead of copy-paste.
  • Google Workspace, Slack, Jira, HubSpot, Notion, Salesforce and more
  • Automatic context from connected apps, with new integrations added continuously
WorkLLM - Work Apps

Security & Data Safety

WorkLLM is designed so your team can adopt AI without your data being exposed, shared, or used in ways you didn’t agree to. Security is built into the architecture by default.

Tenant Isolation

Each company receives a fully isolated tenant with strict data boundary controls.

Zero Data Retention Policy

Prompts and responses are not stored or used for model training by any provider.

End-to-End Encryption

All data is encrypted in transit and at rest using industry-grade standards.

Access Controls (RBAC / ABAC)

Define who can use specific LLMs, apps, automations, or shared threads.

Audit Logs & Data Handling Transparency

Detailed logs show what data was sent to AI models, how it was processed, and where it originated

Input & Output Guardrails

Automatically redact sensitive data, enforce prompt restrictions, and maintain safe output policies across the workspace.

FAQs

WorkLLM is an AI platform for your entire company. It brings your knowledge, AI models, ready‑made agents, and collaboration into one place so people can use AI together in everyday work.

ChatGPT & Claude are great for individual productivity. WorkLLM AI platform adds organizational memory, AI agents, and collaboration so teams can do daily work with AI. No technical or prompting expertise required.

No. People run purpose‑built agents with simple inputs, and the prompting happens under the hood. Power users can still customize prompts when they want.

It is a shared knowledge layer AI uses automatically. It stores company info, product details, documents, past decisions, and saved AI outputs across thread, personal, project, team, and org levels.

Yes. Your workspace is isolated, encrypted in transit and at rest, and protected with access controls. No other organization can access your data.

No. Your data never trains any model. We also enforce zero data retention with model providers so prompts and outputs are not stored or reused.

Most teams are live in a day. Connect your apps, set up a few agents, and start using them. If you want help, we will guide you through it.

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