Agentic AI done right

AbleTime empowers your agent to do real work, quietly in the background, riding beside you ... or even on its own.

Background time and task tracking

While you work, your agent drafts the hours and keeps the tasks current. No hours reach the time sheet until you accept them.

A workflow assistant

It watches what you care about, surfaces comments and unblocked work, refreshes your calendar feeds, and answers questions about your workload straight from the record.

An agentic user in the workspace

An agent with its own account takes tasks, records its own time, asks for help when it needs it, and reports back to a named person when the work is done.

A day with your agent

An agent connected to AbleTime is more than a timer; it's a workflow assistant.

This is Tessa's Tuesday. Her agent is connected, so her task list is something she can talk to: what's waiting, what's blocked, where the hours went.

The agent keeps a draft of time entries in the background; hers alone until she accepts them.

The nudges arrive because she asked for them: watch the Marketing stage, say when a blocked task comes free. The agent checks the record so she doesn't have to.

Read the full walkthrough in AbleTime docs

How Tessa trained her AI assistant

abletime.mdc
# Running Tessa's day
- Session start: read my assigned tasks, lead with due dates.
  Never run a timer — record the work as it happens.
- Check comments on my tasks now and then;
  bring me @mentions straight away.
- Watch the Marketing stage on Internal. @me when a task lands
- If I say I'm stuck, mark the task blocked with the
  reason and line up the next one.
- Anything you send outside AbleTime — Slack, email —
  tell me you sent it.

The agent reads the file at the start of every session, so the arrangement outlives the chat that created it.

Tessa — Tuesday, with her agent

Agents in your workflow

An agent with its own account works the board the way a person does — and answers for its work the same way.

Standing orders — agent account
  • You have an AbleTime account of your own.
  • Start each session with the tasks assigned to you.
  • Work them one at a time, oldest first.
  • Record your time as you go — every entry names its task.
  • Keep each task's description current with what you've done.
  • When the work is on the record, mark the task done,
  • comment with what you did, and @mention Benji.
  • If you need a decision: comment the question,
  • @mention Benji, mark the task blocked, and move on.
  • Watch the Agent lane on the Marketing board —
  • when a card lands there, it's yours.

A seat of its own

An agent can hold an account like any team member: tasks assigned to it, time recorded under its own name, and every minute stamped as agent work in the ledger.

Assignment is the handoff

Hand it a task, or feed a lane it watches. Moving a card into the lane is the whole handoff, and the lane's card count is the state of the queue.

It asks instead of guessing

When it can't proceed, it parks the task as blocked with the question attached and mentions the person who can answer — so the board shows exactly where agent work is waiting on a human.

Work that stands review

Its tasks, minutes and comments sit on the same ledger as everyone else's. Reports and invoices see the work, and the identity behind it, with nothing extra to reconcile.

Do AI right, or don't do it at all.

Everything we build for and with AI is with the intent that it makes your life easier, calmer and more efficient. Not an FAQ with a brain, but real tools for real people to solve real problems.

We're only getting started.

New

Query Engine

Ask questions about your organisation in plain English. "What's our burn rate by project?" "Which epics have overdue items?" Your data never leaves your database — the question becomes one bounded, validated query that runs entirely inside your stack, and what comes back is a small, precise answer rather than pages of raw records.

Every hour is already connected to its task, its project, and its rate, so one question can cover people, work, and money together — where the time went, what it cost, what the return on effort was. Ask again next month and it's the same question, answered the same way.

New

Project Orchestration

AI agents are great at planning, but building can get complicated. Unexpected dependencies, unplanned work, blockers and other surprises can derail the best-laid plans. AI Agents can coordinate directly through AbleTime, each acting as a team member, recording each step and synchronising their progress and effort.

Planning and building across a unified timeline — your team and your agents on one schedule, their work advancing together.

Project Management for teams that are building.

Start with 60 days of Pro, free. No card. Everything unlocked.