You can stop asking consultants to fill in a timesheet, but you cannot stop keeping the record — so the practical move is to shift who produces the first draft of it from the consultant to the systems they already work in. The employee then confirms rather than composes, which is a much smaller ask and a much more reliable one.
Key takeaways
Nobody resents recording time. They resent recomposing a week from memory at the point when they are least able to do it. The weekly timesheet asks a consultant to be a historian of their own attention, and it asks at the exact moment when the next deadline is closest.
The result is a predictable pattern: entries arrive late, arrive rounded, and arrive vague. The firm then does three things badly — it bills late, it argues with clients about descriptions nobody can defend, and it makes capacity decisions on data that was invented on a Friday afternoon.
Automating the timesheet is therefore not about removing the record. It is about moving the drafting burden off the person and onto the systems that already hold the evidence: calendar, ticketing, document activity, project tools and email.
If your staff are employees in Ontario, the record is not optional. The Employment Standards Act guidance on record keeping requires the employer to record the dates and times the employee worked and the hours worked in each day and each week, and to keep that for three years after the day or week of work. Name, address and start date must be kept for three years after the employee stops working for the employer.
There is a narrower rule for salaried staff whose pay does not vary: the guidance says the employer only has to record hours in excess of the regular work week and hours in excess of eight per day. That exception is often misread as "salaried people do not need time records", which is not what it says.
What counts as work time is also defined rather than negotiated. The ESA guidance on hours of work treats commuting as non-work time but counts travel from a usual workplace to another location, and travel during the workday, as work time. An automated capture rule that quietly bills or pays travel the wrong way will be wrong consistently, which is worse than being wrong occasionally.
For federally regulated employers the pay statement itself carries content requirements: section 254 of the Canada Labour Code requires the statement to set out the period, the number of hours for which payment is made, the rate of wages, the deductions and the actual sum received. Ontario’s detailed record rules are explained further in this guide to ESA record-keeping obligations.
A working passive-capture setup has three stages. Capture pulls signals from systems the firm already runs — calendar entries, document opens and saves, ticket transitions, sent mail, meeting attendance. Propose turns those signals into candidate entries with a client, a project code, a duration and a plain description. Confirm puts the day in front of the consultant as a list they accept, merge, split or reject.
The AI contribution sits almost entirely in the middle stage. Matching an untitled two-hour calendar block to the right engagement, collapsing eleven document events into one meaningful entry, and writing a description a client will understand are all pattern tasks. Deciding whether the entry is honest is not.
Design the confirm step to take under two minutes a day. If it takes ten, you have reinvented the timesheet with extra steps, and adoption will collapse in the same way and for the same reason.
A system that watches what staff do all day is electronic monitoring, whatever the vendor calls it. Ontario employers who employ 25 or more employees on 1 January of any year must have a written policy on the electronic monitoring of employees in place before 1 March of that year. The policy has to say whether the employer monitors and, if it does, describe how and in what circumstances, and the purposes for which the information may be used. Copies must go to employees.
The guidance is explicit that these requirements do not create a right not to be monitored and do not create new privacy rights — they are transparency obligations. That is a lower bar than most people assume, and it is still a bar most firms trip over, because the policy is written after the tool is switched on.
Separately, the personal information the system collects is governed by privacy law. The fair information principles include limiting collection to what the identified purpose requires — which is the principle a capture tool breaks first, because collecting everything is easier to build than collecting what billing needs. Where monitoring goes further than logging, the rules on workplace surveillance in Ontario are a useful reference point.
The scenario below is illustrative. Suppose a Toronto consultancy with nine consultants bills on time and materials against fixed project codes. Timesheets were due Monday; the median arrival was Wednesday, and the February invoicing run went out on the 19th.
They kept the timesheet system and changed only the input: calendar and ticket activity now generates a proposed day, sent to each consultant at 4:45pm. Consultants confirm on their phone. The firm wrote its electronic monitoring policy first, circulated it, and limited capture to project-linked systems — no keystroke or screen logging, because none of it was needed to produce a defensible entry.
The change that mattered was not the technology. It was that confirming a prepared day is a different act from writing a blank one, and people will do it.
Can we bill a client from an unconfirmed automated entry?
You can technically; you should not. Someone has to stand behind the description, and an entry nobody read is a dispute waiting for a slow month.
Does this work for salaried staff?
Yes, and the ESA record for salaried employees whose pay does not vary is narrower — but project time and employment-standards time are different records serving different purposes. Do not collapse them.
What if consultants object to being tracked?
Then start with the policy conversation, not the tool. Ontario requires larger employers to publish what they monitor and why, and firms that do this openly get far less resistance than firms that are found out.
A 30-minute call is enough to tell you whether AI pays for itself here.
