Time Tracked Without The Friction
Your hours by day, week or month; entries by project, client or billing status; and uninvoiced work before month-end. Log, fix, delete or invoice — each write waits for your confirmation.
Why Time Tracking Always Slips
Worklog Agent answers all of these — hours summary, project / client filters, uninvoiced surface, entry fixes and draft invoices — in chat, with confirmation on every write.
Time Entries Wait Until Friday And Then Vanish
Tuesday's 3-hour deep-dive becomes Friday's "what did I work on Tuesday?" The detail erodes, the project tag gets guessed, and the billable hour either under-bills the client or overstates internal capacity.
Project Or Client Mapping Is A Memory Game
Five clients, twelve projects, three retainers. The right project key isn't what the user remembers calling it last quarter. Entries get filed against the wrong project and the rate calculation goes sideways.
Uninvoiced Work Goes Stale Without A Surfacing Mechanism
Hours pile up against a client. Nobody runs the report until month-end. By the time someone notices, the billing window is already past and the team eats the loss — or the client gets an awkward back-bill.
"What Are My Hours This Week?" Is Five Filter Clicks
The Worklog dashboard has the answer, but only after a date range, a billable toggle, and a sort. The 30-second question becomes a five-minute drill.
Billable Vs Non-Billable Gets Tagged Wrong And Margin Erodes
A 90-minute kickoff call is billable; the prep was scoped as non-billable. The consultant tags it billable by default because that's what most of their entries are. Multiplied across the team, a quarter's worth of write-offs ends up invisible until the partner review.
Invoicing Day Is A Scramble Through Every Client
Month-end means opening each client, checking what is still unbilled, and building invoices one by one. "Draft Acme's invoice" in chat — with the hours and amount on the confirmation card — turns the scramble into a review.
Worklog Agent At A Glance
AI Worklog
Hours, billing, and gated log entry from chat.
Inside Worklog Agent — The Actual Capabilities
Every block below maps to a real tool the agent uses against your worklog records. The reads — hours, entries, projects, clients, invoices, uninvoiced — answer at once; the writes (log_time, update_time_entry, delete_time_entry, generate_invoice, mark_invoice_sent, mark_invoice_paid, cancel_invoice) each wait for your explicit confirmation.
Hours Summary — Today, Week, Month, With Billable Split
One question, three answers — today's hours, this week's hours, this month's hours, each split into billable vs internal with the earnings total alongside. The "what did I do this week?" question becomes one chat ask.
- Hours summary via
get_my_hours_summary— today, this week, this month with billable breakdown. - Earnings inline — billable hours converted to earnings using the user's project / client / default rates.
- No parameters required — works as a quick "what are my hours?" lookup.
- Permission-aware — users see their own hours; the agent never returns other users' time.
Filtered Time Entries — By Period, Project, Client, Billable
The detailed walk. List recent entries filtered by period (today / week / month), by project name, by client name, or by billable status. Useful for audits, retros, and end-of-week cleanup.
- List time entries via
list_time_entries— filter by period (today/week/month), project, client, or billable status. - Limit configurable — default 30 entries, max 50 per call.
- Partial match on project / client name — useful when the user remembers part of the name.
- Your entries only — the agent lists the asker's own entries, never a colleague's.
Projects, Clients, Invoices — Browsable From Chat
"What clients am I logging against?" and "what invoices are open?" — answered from chat without opening the Worklog dashboard. Active-only filters keep the view clean.
- List projects via
list_projects— active-only filter and search by name; returns hours and earnings per project. - List clients via
list_clients— active-only filter and search; returns hours and uninvoiced amounts per client. - List invoices via
list_invoices— filter by status (draft / sent / paid / cancelled) or client name. - Uninvoiced summary via
get_uninvoiced_summary— total uninvoiced hours and amount grouped by client.
Log, Fix, Delete, Invoice — Every Write Confirmation-Gated
"Log 3 hours on Acme Q3 kickoff today" — the agent parses date, hours, project, client, billable, and rate, then shows the confirmation card with the client it will book to and what it will bill. The same card guards an edit, a delete, a draft invoice, and marking an invoice sent, paid or cancelled. Project and client must already exist; the agent won't create new ones silently.
- Confirmation on every write —
log_time,update_time_entry,delete_time_entry,generate_invoice,mark_invoice_sent,mark_invoice_paidandcancel_invoiceeach show a card before anything changes. - Invoiced entries are protected — an entry already on an invoice can't be edited or deleted from chat.
- Never emails a client —
generate_invoicecreates a draft you review and email from the Worklog app;mark_invoice_sentonly records an invoice you delivered yourself, andcancel_invoicereleases a draft or sent invoice's entries. - Hours validated — must be greater than 0 and within your organization's per-entry limit (24 at most).
- Project & client must already exist — the agent doesn't create new ones quietly.
- Rate inheritance — uses the client, then the project, then the company default rate unless explicitly overridden in the call.
Outcomes Teams Can Measure
The agent shifts time entry from a Friday afternoon catch-up to an inline "as the work happens" practice — and surfaces uninvoiced work before the billing window closes.
- Time-entry latency — average hours between work occurring and the entry being logged.
- Friday backlog — share of week's entries logged on Friday vs same-day.
- Uninvoiced age — oldest uninvoiced hours per client, surfaced before billing windows close.
- Project mapping accuracy — entries against the right project on first try vs corrected later.
- Billable share — billable hours as a share of logged hours, tracked weekly.
Reads Answer At Once, Every Write Asks First
Worklog Agent reads your hours summary, time entries, projects, clients, invoices and uninvoiced summary freely. Every write — logging, editing or deleting an entry, drafting an invoice, marking one sent, paid or cancelled — shows a confirmation card naming the record and the money before anything changes, and an admin can switch the agent off in Worklog settings.
- Every write confirmed — log, edit, delete, draft an invoice, and mark one sent, paid or cancelled each wait for a Yes.
- Never emails a client — you send invoices from the Worklog app; the agent can record one as sent or paid, or cancel it, after you confirm.
- Permission-aware — users see only their own hours, projects, and clients.
- Audit trail on every action — every tool call logs the user, the tool, and the argument names.
WHAT TEAMS TRY INSTEAD
The four alternatives — and none of them surface uninvoiced billable work before month-end
Time tracking is the friction point that creates billing leaks. None of the alternatives let a consultant log time in chat with confirmation, while also surfacing each consultant's uninvoiced billable work to them before the month closes.
ChatGPT, Claude, or Copilot helping write a timesheet entry
Generic AI restating what the user types
- Worklog Agent's log_time writes the entry into the system with project, client, and billable flag — generic AI produces text
- Live hours summary today/week/month — generic AI has no access to the time records
- Uninvoiced-work visibility — generic AI cannot read your invoice queue
Toggl AI, Harvest AI, Clockify AI
Vendor time-tracking AI — separate seat, separate audit, separate roster
- Reads projects, clients, and roster alongside Worklog — vendor AI sees only time entries
- Frontline consultants on a per-project basis can log time in the same MangoApps app, no Toggl seat
- One identity and permission model; vendor time AI forces parallel SSO and project sync that drifts the day a client gets reassigned
Custom timesheet + BI report on uninvoiced work
A finance-ops build, then maintenance of every new billing question
- Already shipped — time-entry model, project/client semantics, billable flag, invoice link, and audit log in place
- Confirmation-gated log_time prevents accidental "wrong project" entries that finance has to clean up later
- When the team adds a new client or project, the agent picks it up automatically — no BI report rewrite
"Fill the timesheet Friday afternoon from memory"
The status quo — guessing hours after the week is over
- log_time in chat at the moment the work happens — Friday-afternoon timesheet builds collapse to a 30-second reconciliation
- Uninvoiced billable work surfaced before month-end — fewer "we forgot to bill that" conversations with finance
- Hours summary today/week/month visible from chat — no separate timesheet UI hunt
PLATFORM ADVANTAGE
Worklog Agent inherits everything the platform already runs
A standalone time-tracking tool has to plumb each of these. Worklog Agent gets them for free.
Project and client as ground truth
Time entries resolve against the live project and client lists — no "couldn't find client X" because finance hadn't synced.
Billable flag preserved
Hours summary splits billable vs non-billable — finance sees the revenue picture, not just the labor cost.
Invoice cross-ref
Uninvoiced work surfaced explicitly so each consultant bills it before the month closes — no surprise write-offs.
Confirmation-gated writes
Every write requires explicit confirmation, with the client and amount on the card — no rogue entries onto the wrong client or wrong project.
Permission-aware reads
The agent reads and writes only the asker's own entries, and the projects and clients they can see. Company-wide oversight stays on the Worklog app's read-only all-users view.
Platform model routing
The model behind the agent is chosen once by the platform, not per app — nothing to configure, and cost stays predictable as the team grows.
INDUSTRY FIT
Industries where billable-time accuracy moves the most weight
Worklog Agent shines where time is revenue, project sponsors expect breakdowns, and finance closes on a tight cadence.
Professional Services
Consultants log time in chat the moment work happens; each consultant sees their own uninvoiced billable hours by client before month-end.
IT Services & MSPs
Ticket-driven billable hours captured against client and project in real time — no Sunday-night timesheet catch-up.
Legal
Matter-level time entries with confirmation gating; each timekeeper surfaces their uninvoiced work-in-progress before the monthly bill.
Construction & Trades
Billable hours per client project; PMs see uninvoiced time before submitting the next pay application.
Marketing & Creative Agencies
Project-level billable visibility for client-facing teams; each person catches their unbilled hours before they become write-offs.
Public Sector
Grant-funded project time is tracked per program with confirmation gating.
WHY MANGOAPPS WINS
An embedded worklog agent beats a Friday-night timesheet, a Toggl seat, or a custom BI report on every axis
The argument finance, PMs, IT, and the consultant at the keyboard all share — and the one a horizontal AI or a vendor time-AI structurally cannot answer.
Cheaper than the alternatives
No Toggl/Harvest/Clockify seat fee, no custom timesheet portal build, no extra finance time chasing uninvoiced work — billing leaks pay for the agent.
More secure
Every write confirmation-gated, invoiced entries locked, invoices never emailed by the agent, and every action audit-logged.
Easier to deploy
Already deployed if Worklog is enabled. Turn the agent on and chat-log / hours summary / uninvoiced views work the same day.
Easier to use
"Log 2 hours on Acme integration, billable" — one prompt, one confirmation, the entry's in the system.
Easier to manage
Per-business project taxonomies, billable rules, and visibility models sit in the same admin console as every other app's settings.
Easier to extend
New Worklog capabilities ship as agent tools — the agent picks them up the same release, with no prompt rewriting on your side.
AI is actually better
A vendor or generic AI can echo a timesheet. Worklog Agent also resolves the project and client, sets the billable flag, surfaces uninvoiced work, and gates the write with confirmation — all from one chat.
At our head office within HR, marketing, and finance, we use ChatGPT quite a bit, and MangoApps AI Helper is a useful tool for us. As I go around to the stores, I’ve been showing them how the AI Intranet Helper can find things and answer plain language questions about our resources, and they’re quite excited about that.
Alison van Zijl
Head of Human Resources
Full House
Customer Success
MangoApps Customers
Organizations that trust MangoApps to run every workflow across their workforce.
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Frequently Asked Questions About Worklog Agent
Hours summary (today / this week / this month with billable breakdown), list time entries filtered by period / project / client / billable, list active projects with hours and earnings, list active clients with hours and uninvoiced amounts, list invoices filtered by status or client, uninvoiced summary grouped by client — and, each confirmation-gated, log a new time entry, edit or delete one of yours, draft an invoice for a client, and mark one of your invoices sent, paid or cancelled.
Yes, your own — update_time_entry and delete_time_entry each show a confirmation card first, and an entry already on an invoice can't be changed from chat (cancel the draft or sent invoice first — in chat with cancel_invoice, or in the Worklog app — to release it).
No. log_time requires the project and client to already exist — the agent matches names and routes the entry against the existing record, but it won't quietly create new projects or clients. Use the Worklog UI for that.
Rate inherits from the client, then the project, then the company's default hourly rate — unless explicitly overridden in the log_time call. The confirmation card shows the rate and total before saving.
Time-entry latency (work → logged gap), Friday backlog, uninvoiced age per client, project mapping accuracy, and billable share. Compare against your pre-agent baseline.
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