Your AI agent remembers every ticket, every customer, every conversation.
Workspace-scoped AI memory: every ticket, customer note, KB article, voice transcript — embedded, searchable, and grounded in citations. Your data, your region, never shared.
I found the recovered invoice flow and your last billing ticket. The invoice was reissued after the card update, and the download link is safe to resend.
Not just search — context.
Beamdesk turns workspace history into grounded support memory, so the agent sees the customer, the account, and the proof behind an answer.
Search finds documents
Classic RAG retrieves a handful of KB passages and stops there.
Memory finds patterns
Workspace Memory connects tickets, replies, notes, fields, and calls around the customer.
Agents act with proof
Every generated reply carries citations your team can inspect before sending.
Data sources we embed
Support knowledge is broader than help center articles. Beamdesk indexes the operational record that agents actually need.
How it works
A compact retrieval pipeline keeps the agent grounded without mixing one workspace with another.
Ingest workspace history
Tickets, articles, calls, and customer records stream into a scoped memory index.
Retrieve with tools
The agent calls search_similar_tickets and customer_pattern before drafting.
Answer with citations
Replies include source chips, confidence signals, and feedback loops.
Seven moats
Workspace Memory compounds because it is built from the work your team already does every day.
Full-history context
Embeds every ticket and reply, not just KB articles.
EU sovereignty
Frankfurt region controls and DSAR deletes keep customer data clean.
Six languages native
Polish-first retrieval quality via Voyage AI and multilingual indexing.
Cited answers
Every reply links back to the source ticket, article, or transcript.
Compounds over time
Team feedback becomes a stronger retrieval signal every week.
Tool-augmented retrieval
Agents invoke search_similar_tickets and customer_pattern as needed.
Cheaper at scale
Modeled around roughly $0.50 per seat plus light usage, not $50 per agent.
Built for memory, not just deflection
The core difference is workspace scope: Beamdesk retrieves the support record, not only polished articles.
| Feature | Beamdesk | Intercom Fin | Decagon | Sierra |
|---|---|---|---|---|
| Workspace history | Tickets, replies, notes, calls | Mostly help center + inbox context | Enterprise knowledge layer | Enterprise knowledge layer |
| Citations | Source chips on every answer | Available by configuration | Available in enterprise flows | Available in enterprise flows |
| EU region | Frankfurt-first | Plan dependent | Contract dependent | Contract dependent |
| Language posture | Six native locales | Broad multilingual | Enterprise multilingual | Enterprise multilingual |
| Cost model | $0.50/seat + usage | About $50/seat | Enterprise contract | Enterprise contract |
Questions before rollout
The feature is designed for controlled deployment: scoped data, inspectable answers, and clear costs.