Time Tracked Without The Friction
Hours summary today / week / month. Time entries filtered by project, client, or billable status. Invoices and uninvoiced work surfaced before month-end so billing leaks get caught. Plus a single confirmation-gated log_time so quick entries don't sit unrecorded.
Why Time Tracking Always Slips
Worklog Agent answers all four — hours summary, project / client filters, uninvoiced surface, gated entry — in chat, with confirmation on the single write tool.
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.
Approvals Pile Up Because Submitters Forget The Submit Button
Hours are logged daily but the timesheet never gets submitted. By month-end the practice lead has a queue of 22 unsubmitted timesheets and a closing deadline. A "you have 38 unsubmitted hours this week" nudge in chat would have flattened the rush.
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. Six are read-only — hours, entries, projects, clients, invoices, uninvoiced — and one (log_time) requires explicit confirmation before a new time entry is written.
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.
- Read-only — the agent retrieves entries; it doesn't edit them.
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 A Time Entry — One Confirmation-Gated Write
The agent's only write tool. "Log 3 hours on Acme Q3 kickoff today" — and the agent parses date, hours, project, client, billable, and rate, then shows the confirmation card. Project and client must already exist; the agent won't create new ones silently.
- 1 risky write tool — log_time requires explicit user confirmation before saving.
- Hours validated — must be greater than 0 and ≤ 24 in one entry.
- Project & client must already exist — the agent doesn't create new ones quietly.
- Rate inheritance — uses the project / client / 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 utilization — billable hours as a share of logged hours, tracked weekly.
Mostly Read-Only, One Confirmation-Gated Write
Worklog Agent has 7 tools. Six are read-only — hours summary, time entries, projects, clients, invoices, uninvoiced summary. The single write — log_time — requires explicit confirmation before saving. There are no edit / delete tools for existing entries; corrections happen in the Worklog UI.
- 1 risky write tool — log_time with explicit confirmation; everything else is retrieval.
- No edit or delete — corrections to past entries flow through the Worklog UI.
- 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 parameters.
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 uninvoiced billable work to the project manager 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 audit trail; 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 LEVERAGE
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 PMs catch billing leaks before the month closes — no surprise write-offs.
Confirmation-gated log_time
The one risky write requires explicit confirmation — no rogue entries onto the wrong client or wrong project.
Permission-aware reads
Users see only their own hours, projects, and clients — managers see their team's, PMs see their projects'. Same model as the Worklog app.
RubyLLM model tiering
Hours lookups run on nano tier; invoice triage on small; weekly summaries on standard. Per-consultant cost stays low at any scale.
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; partners see 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; partners surface uninvoiced work-in-progress before the monthly bill.
Construction & Trades
Crew hours per job and per cost code; PMs see uninvoiced change-order time before submitting the next pay app.
Marketing & Creative Agencies
Project-level billable visibility for client-facing teams; account managers catch scope-creep hours before they become write-offs.
Public Sector
Grant-funded project time tracked per program with confirmation gating; within the FedRAMP-eligible deployment boundary.
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
One confirmation-gated write, no edit/delete from the agent, every action logged through AiApiLog. Corrections route through the Worklog UI with audit.
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 billable dimensions (cost codes, rate tiers, retainer pools) ship as tools — the agent picks them up the same release.
AI is actually better
A vendor or generic AI can echo a timesheet. Only Worklog Agent can also resolve the project and client, set the billable flag, surface uninvoiced work, and gate 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
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Frequently Asked Questions About Worklog Agent
7 tools — 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 log a new time entry (confirmation-gated).
No. log_time is the only write tool. Corrections to past entries flow through the Worklog UI where the human stays in control.
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 project, then the client, then the user's default 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 utilization. Compare against your pre-agent baseline.
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