Operations teams have heard the pitch a hundred times: AI will change everything. What they got instead was tools that only search one system at a time, summarizers that miss the point, and “smart” assistants that somehow create more work than they save.
The reason? Simple, most AI tools are built on fragmented data.
Think about where your project information actually lives. Tickets in Jira. Decisions scattered across Slack threads. Specs in Notion, or maybe Confluence. Timelines in spreadsheets. Critical context locked in someone's head. No single tool has the full picture, so no AI sitting on top of one tool can give you answers worth trusting.
Your team ends up doing what they've always done: jumping between fifteen tabs, manually compiling status updates, chasing stakeholders for information that should be readily accessible, and watching small risks snowball because nobody caught the dependency that crossed three systems.
We built Computer to fix this.
Computer connects everything, then puts it to work
Computer is an AI teammate purpose-built for operations. It connects bidirectionally to the tools your team already uses — Jira, Slack, Notion, Google Drive, Confluence, Linear, GitHub, calendars — and unifies that data into one AI-ready foundation.
But unified data is just the starting point. Here's what Computer actually does with it:
Ask a question, get a real answer.
Ask “What's at risk for the February launch?” and Computer checks every workstream tagged to that launch, reviews relevant Slack threads, analyzes ticket velocity, and surfaces timeline risks — all in seconds. You get blockers identified, owners named, and recommendations ready, without switching tabs or promising to “circle back”.
The busywork, handled.
Computer acts across your systems helping you in drafting status updates from live data, updating tickets, reassigning work, shifting priorities, generating exec docs. Want recurring Monday updates to stakeholders? Set the rule once. Computer handles the rest.
Early warning, not post-mortems.
Computer tracks execution patterns across your projects: slowing velocity, aging tickets, workload imbalances, missed handoffs. When something drifts, it flags the issue while there's still time to course-correct.
The result of all this? One customer saw a 6x increase in operational efficiency. Another cut RCA times by more than 50% while hitting 90% SLA adherence at scale.
What's under the hood?
Two patented technologies make Computer fundamentally different from other AI tools:
Computer AirSync, creates a two-way connection between Computer and your existing systems. Updates flow in both directions automatically. Change something in Jira, it's reflected in Computer. Take action in Computer, it syncs back to Jira. No manual reconciliation. No version conflicts. One source of truth across your entire stack.
Computer Memory, organizes your information into an AI-native knowledge graph structured around your products, customers, and the relationships between them. When you ask about a project, Computer doesn't just keyword-match, it understands how tickets connect to decisions connect to dependencies connect to people. Context that would take a human hours to piece together, available instantly.
Together, they let Computer do what other AI tools can't: catch a risk that spans multiple teams before it derails a timeline, draft an update that incorporates a scope change discussed in Slack yesterday, or flag that an approval bottleneck upstream is three days from causing a vendor delay.
Ready to see it work?
Operations will always be complex. The tools don't have to make it harder.
Book a demo and see what your ops team looks like when context stops being the bottleneck.
