Timesheets that fill themselves by talking

No more Friday forms: tell what you did, AI fills it all. Manual entry available too.

The limits of traditional tools

Classic tools for timesheet management are full of forms, screens and configurations. Consultants lose hours on admin instead of working with clients.

Dozens of screens and tabs to learn
Initial setup that takes weeks
No AI that understands consulting context
Data scattered across many tools
Reports always days behind

One AI, one conversation

hice.ai handles timesheet management like a chat: type what you want, AI acts on your real data. For those who prefer the classic approach, the traditional manual interface is always available.

«Show me the status of all open projects»
«Update X with what I'm telling you»
«Generate the monthly client report»
«Alert me if anything goes over budget»

Try it in chat

Examples you can ask:

Static demo of hice's AI chat.

What you get

AI chat in plain English

Talk naturally, AI understands jargon, abbreviations and context.

Real actions on data

AI doesn't just answer: it updates, creates, modifies, always with audit trail.

Total memory

AI remembers every conversation, decision and historical data point.

Native integrations

Calendar, mail, billing, databases: all connected.

Configurable automations

Triggers on events, conditions, deadlines: AI acts or alerts.

Conversational dashboards

Ask any chart in chat: no more complex report builders.

Multi-tenant

Per-client data isolation, granular permissions.

Full audit trail

Every AI action is tracked, reversible, exportable.

Smart notifications

Only notifications that matter, grouped by AI.

EU data & GDPR

EU hosting, encryption at-rest and in-transit, daily backups.

Fast onboarding

No weeks of training: a chat is a chat.

Traditional interface

For those who prefer forms, tables and classic dashboards: always available alongside AI.

Why consultants do not fill in timesheets

The usual explanation is discipline, and it is almost always wrong. Consultants skip timesheets for three concrete reasons: the entry takes too long, the categories do not match the work they actually did, and nothing visibly happens with the data afterwards.

Each of those has a fix that costs nothing to try. Entry under thirty seconds from a phone. Categories drawn from the projects a person is actually assigned to, not from a company-wide list of two hundred. And a monthly moment where the person sees what their own hours produced, which is the only argument that has ever made timesheet compliance stick.

Entry in under thirty seconds, from a phone
Only the projects the person is assigned to
Suggestions based on the previous weeks' pattern
Visible return: each person sees what their hours produced

Approval that catches errors instead of rubber-stamping

Line-by-line approval does not survive contact with a busy month. What happens instead is a bulk approval on the last day, which means the control exists on paper and not in practice, and errors reach the invoice.

Approval by exception inverts that. The system pre-approves everything consistent with the assignment and surfaces only what is not: hours on a project the person is not assigned to, a day over the contractual limit, a booking to a closed project, a rate that expired. The manager reviews six lines instead of four hundred, and actually reviews them.

Automatic pre-approval of consistent entries
Anomalies surfaced with the reason they were flagged
Contractual limits checked at entry, not at approval
Approval history retained for audit

What the hours are for, beyond the invoice

A timesheet system that only feeds billing wastes most of the data it collects. The same entries, read differently, answer questions a firm usually guesses at: which project types consistently take longer than sold, how much time goes to unbilled internal work, and whether a specific client absorbs disproportionate effort outside the contract.

Those answers change pricing more reliably than any market analysis, because they are drawn from the firm's own delivery. The condition is that the categories are stable over time — a taxonomy rewritten every year produces data nobody can compare.

Time by work type, not only by project
Unbilled internal effort visible per client
Comparison between hours sold and hours delivered
Stable categories so year-on-year comparison works

Consulting firm, 80 consultants

An 80-consultant firm managed timesheet management with legacy tools: hours lost on admin every week. With hice.ai AI absorbs most repetitive work. Result: -50% admin time, +30% delivery capacity, managers more client-focused.

hice.ai vs traditional timesheet management tools

Feature	hice.ai	Traditional tools
Interface	AI chat + classic	Only forms and menus
Native AI	Yes, acting agent	No / add-on
Languages	Multi (IT/EN/FR/ES)	Often EN only
Setup	Days	Weeks / months
Real-time data	Yes	Delayed reports
Real-time KPIs	Yes: utilization, margin, bench	Delayed reports
Learning curve	One chat	Long training