AI for your entire support team's daily work
WorkLLM provides an AI workspace with organization-wide memory and support agents, so your entire support team can handle everyday work from answering tickets to resolving issues and spotting trends with AI, handling more tickets without adding headcount.
What slows support teams down
Answers are buried across docs and past tickets
Hours lost to repetitive replies
Triaging tickets is a job nobody has time for
Inconsistent answers and slow escalations
One AI workspace for your entire support team
A shared space where your docs and past resolutions are always on hand, your agents are ready to run, and your whole team works with AI every day, not just the people who figured it out on their own.
One workspace for everything your support team does with AI
Answers people can trust, with the source
First drafts in minutes, not hours
Triage and updates, handled automatically
Consistent answers across every agent
What your support team actually uses WorkLLM for
Answers from your actual docs
Draft replies any agent can send
Triage and routing that runs itself
Troubleshooting backed by past fixes
Escalation summaries done for you
Trends surfaced from your tickets
Support agents, ready from day one
Every agent below is available from day one. No configuration needed. Click any agent to see what it does and try it.

Customer Insights Agent
By: WorkLLM

Competitive Intelligence Agent
By: WorkLLM

Customer Context Agent
By: WorkLLM

Support Knowledge Agent
By: WorkLLM

Account Intelligence Agent
By: WorkLLM
FAQs
What is WorkLLM for support?
A shared AI workspace that combines organization-wide memory, model orchestration, AI agents, and team collaboration, so your entire support team can run their daily work with AI, from answering tickets to resolving issues, handling escalations, and spotting trends.
Do agents or non-experts need to learn prompting?
No. Task agents give you one-click workflows to draft, summarize, and research, so anyone on the team gets quality output from simple inputs.
How does WorkLLM keep our answers accurate?
Your product docs, policies, and past resolutions live in organization-wide memory, so every reply pulls from your actual source of truth with a link to it, instead of a generic AI guess, and no need to paste context each time.
How does WorkLLM reduce manual ticket work?
Integrations plus workflow agents tag, route, and update tickets across your help desk automatically, so triage and record-keeping happen without manual sorting or copy-paste.
Does it work with our existing tools?
Yes. Integrations include Google Workspace, Slack, Jira, HubSpot, Notion, Salesforce, and more, so WorkLLM fits into your stack.
Can we choose the best AI model for each task?
Yes. Model orchestration lets you use GPT, Claude, Gemini, Llama, Mistral, and over 200 models to get better answers for each use case.
What outcomes should we expect?
Your whole team answers accurately and fast, not just the AI power users, because agents pull from your docs and past resolutions automatically. Triage and routine replies run on their own, so your team resolves more tickets without adding headcount and every customer gets a consistent answer.
How do teams collaborate inside WorkLLM?
Use thread sharing, co-prompting, comments, and shared outputs, so your agents work together and build on the same docs and latest resolutions.
How is our data governed and protected?
WorkLLM is built with governance and a dedicated Security and Data Privacy foundation across all workspace layers.
Can recurring support tasks be automated?
Yes. Workflow agents can run automatically on app events or a schedule to handle recurring work like ticket triage, routing, status updates, and escalation summaries.
What types of AI agents are available?
Knowledge agents surface answers from organization-wide memory, Task agents handle one-click drafting and summarizing, and Workflow agents automate multi-step processes.








