What can you do with TimeCampus?
Scenario-driven use cases grounded in the product — from understanding where your day went to protecting deep work and planning team capacity. Pick a persona and follow the story. These are illustrative pre-launch scenarios, not real customers.
Showing 24 use cases
For Individuals
See where your day actually went — without a single timer
TimeCampus is designed to capture activity from the apps and platforms you already use and assemble it into a clear, categorised timeline — so you understand where your hours go without ever starting or stopping a manual timer.
For Individuals
Plan a realistic day and protect it
Set intentions for the day, reserve focus blocks for your most important work, and let TimeCampus surface when reality is drifting from the plan — so a busy day still ends with the important things done.
Focus & Wellbeing
Defend deep work from constant interruption
TimeCampus is designed to learn your work and energy patterns and help you carve out — and defend — uninterrupted focus periods, reducing context-switching so deep work actually happens.
Focus & Wellbeing
Notice burnout risk before it becomes a problem
By understanding sustained workload and working patterns, TimeCampus is designed to surface early signals of overload — so individuals and leads can rebalance before exhaustion sets in.
Focus & Wellbeing
Run focused work in clean Pomodoro intervals
TimeCampus is designed with a built-in Pomodoro timer so you can run structured focus sessions, take healthy breaks, and watch your focus time and streaks add up — turning good intentions into a repeatable habit.
For Teams
Plan capacity on reality, not gut feel
TimeCampus is designed to give managers an aggregate, privacy-respecting view of how a team’s time is distributed across meetings, focus, and operational work — so planning and commitments are grounded in reality.
For Teams
Take back time lost to meeting overload
TimeCampus is designed to make the real, aggregate cost of meetings visible — hours, fragmentation, and lost focus — so teams can prune the calendar and give time back to the work that matters.
For Teams
Approve team timesheets with confidence
TimeCampus is designed to give leads a single approval queue for team timesheets — review submitted hours against captured activity, approve or send back with a reason, and keep billing and payroll running on accurate, signed-off time.
For Teams
Give clients a transparent window into their projects
TimeCampus is designed with a client portal so each client can see the time and progress on their own projects in one transparent place — replacing status emails with self-serve clarity.
Insights & Reporting
Trade vanity metrics for honest insight
TimeCampus is designed to turn captured activity into clear trends — focus ratio, context-switching, deep-work hours — so insights drive real decisions instead of decorating a dashboard.
Insights & Reporting
Generate trustworthy time reports in seconds
Because activity is captured automatically, TimeCampus is designed to produce accurate time summaries on demand — exportable for client billing, project retrospectives, or personal records — without reconstructing the week from memory.
Insights & Reporting
Capture billable expenses alongside your time
TimeCampus is designed to let you record work expenses next to your captured time and attribute them to the right project — so client reports and invoices reflect both hours and costs, without a separate spreadsheet.
Insights & Reporting
Compose the dashboard each role actually needs
TimeCampus is designed around composable widgets, so you can build real-time dashboards that surface exactly the time metrics each role cares about — instead of one fixed view that fits no one.
Connected Workflows
Unify every tool into one picture of the day
TimeCampus is designed to connect to the platforms you already use and unify their activity into one coherent timeline — so you stop stitching your day together across a dozen tabs.
Connected Workflows
Extend the platform with applets
TimeCampus is designed with an extensible applet model — modular mini-apps that add custom views, connectors, and automations — so teams can shape the platform to their own workflow.
Connected Workflows
Automate the routine handling of your time data
TimeCampus is designed with a workflow engine — triggers, conditions, actions, and outputs — so routine time-tracking work like categorisation, reminders, and scheduled reports happens automatically instead of eating your attention.
Platform & Privacy
Insight without surveillance
TimeCampus is being built privacy-first: designed around insight rather than surveillance — no screenshots or keystroke spying — with you in control of what is captured and retained.
Platform & Privacy
Run TimeCampus across teams with governance built in
TimeCampus is designed to run as a governed, multi-workspace platform — with roles, access control, and auditability inherited from the Burdenoff platform — so organisations can adopt it with confidence.
AI Native
Let TimeCampus name the project behind each captured hour
Captured activity arrives as raw titles, apps and URLs — attribution is what makes it billable. TimeCampus is being built to score each event against your project names with a deterministic keyword classifier, then optionally ask an LLM to pick the best match and return a confidence; whichever path wins would be recorded next to the event as a suggestion, labelled with the method and the exact model that produced it. The suggested project would never become the real project until you accept it; the in-timeline accept/reject controls are still being built, so this is the attribution model the platform is working toward rather than a completed click-through workflow today.
AI Native
Weekly suggestions that will never tell you to work more
TimeCampus already runs a weekly pass over your own tracked time and the balance targets you set, and produces a short list of suggestions — no unbroken deep-work block this week, focus ratio down against last week, a life domain sitting well below the share you asked for, time drifting from what you said matters. Each one carries the metrics it was derived from, so you can see exactly why it fired, and each can be accepted, snoozed or dismissed. The invariant that shapes the whole engine: any candidate whose net effect is more work is dropped before it is ever rendered.
AI Native
Insights that show their evidence — and admit what they missed
A productivity number you cannot interrogate is a number you should not act on. The scoring already built into TimeCampus reports its own coverage alongside its result, returns no score at all rather than a fabricated one when you have declared nothing to align against, and tags every work-pattern insight as positive, neutral, a warning or a recommendation with the observation behind it. Classification carries the same discipline: each categorised event records whether a rule, a model, or you produced the label.
AI Native
Find the hours that quietly leaked out of your week
TimeCampus already buckets the time that went nowhere — the waiting and commuting you logged, activity it could not categorise, and the unaccounted gaps between tracked work — and reports how much of it is genuinely reclaimable. The honest part is what it refuses to count: sleep is never a bucket, and anything you marked as deliberately chosen is excluded from the reclaimable total, so rest is never rebranded as waste. What surfaces is a small number of real hours you can decide to spend differently.
AI Native
Ask the assistant about the screen you are already on
TimeCampus is being built with an assistant that can be invoked from any screen and receives a deliberately narrow slice of context — the current route, the entity it resolves to, the active tab and project — so questions like "what can I do here?" can resolve without you restating your situation. That context list is an allow-list by design: no user agent, no fingerprinting, nothing the agent does not need. Anything the assistant tries to do on your behalf would still pass the same permission checks your own clicks do. The evaluation set that would prove its answer quality on time questions is not built yet, so this is a target experience rather than a verified click-through workflow today.
AI Native
Decide what the intelligence is allowed to see
In TimeCampus, consent is not a settings page bolted onto a model — it is the gate the capture pipeline checks before a single event is stored. Revoke a source and new activity from it stops being ingested, which means nothing downstream can infer from it. Personal recommendations are scoped to you alone, so a workspace or employer actor can never read them, and connected sources can be granted or withdrawn individually from one screen. Retroactively withdrawing insights already derived from a source you later revoked is committed direction, not something built today.
See your scenario here?
TimeCampus launches in 2026. Join the waitlist and be among the first to bring calm, privacy-first time intelligence to your day.