Tickets your team understands.
Resolutions your tools draft.
AtlasDesk is modern ITSM with natural-language ticket creation and an AI Resolution Copilot that drafts fixes from your past tickets and knowledge base. In production today at a liberal arts college.
Your tier-1 queue, suddenly tier-2.
When a ticket lands, Copilot runs semantic search across every past resolution and KB article, drafts a candidate fix with citations, and hands it to a technician for a single click of review.
Embeddings live in pgvector and are generated locally with transformers.js; drafting is done by Gemini with retrieved context only. No training on your ticket history, no data leaving your tenant.
“I need a projector for Tuesday's lecture.” That's it.
Type a request the way you'd ask a colleague. AtlasDesk parses the ask, finds an available asset, holds the reservation, and if a hardware visit is needed, drops the appointment directly onto the technician's calendar.
Rooms, carts, loaner laptops, AV kits — anything in the asset inventory is bookable the same way, with the same conflict rules.
And the boring parts done right.
Kanban and list views. Asset inventory with QR tagging. A week-at-a-glance reservations calendar. The table stakes, without the Confluence-era feel.
Tickets
kanban · list · slaAssets
inventory · qr · lifecycleReservations
rooms · carts · avTier 1 to Tier 4. STA to Director.
Every view, action, and API route respects the same role graph. Student technicians see only what they should; directors see the whole organization. The model was designed for higher-ed IT, and it scales cleanly to mid-market.
Boring infrastructure, on purpose.
Nothing exotic in the stack. Postgres where Postgres fits, SQL Server where the customer requires it, and a single codebase that ships to both single-tenant on-prem and multi-tenant SaaS. The interesting work lives above the infrastructure, not inside it.