The verdict in three sentences
An HR director at a mid sized company receiving 900 questions a month about leave, benefits and payroll can hand 50 to 70 % of that volume to a RAG based AI assistant, fed with the employment policies, collective agreements and internal notes. The budget sits between CAD 30,000 and 65,000 (2026 order of magnitude) for 2 to 3 months of work, with hosting in Canada and early communication with the union or joint committee where one exists. The value does not lie in the technology but in the quality of the document corpus and a clear rule for handing over to a human HR advisor.
What the assistant can do, and what it must not do
The RAG principle is simple: the assistant only answers from the documents provided, and cites its source. It is not a chatbot that improvises. For a Toronto company with 1,500 employees, the mix of questions is very stable.
| Question type | Share of volume | Document source | Automatic answer possible |
|---|---|---|---|
| Vacation, statutory holidays, time off | 30 % | Ontario ESA policies, collective agreement | Yes, 80 to 90 % |
| Health and dental benefits | 18 % | Benefits booklet | Yes, 70 to 80 % |
| Reading a pay stub | 15 % | Internal payroll guide | Partial, 40 to 60 % |
| Sick leave and absences | 12 % | Policies, internal procedure | Partial, 50 to 60 % |
| Training and reviews | 10 % | Learning and development plan | Yes, 70 % |
| Sensitive individual cases | 15 % | None | No, handover to HR |
The last row is the most important: termination, health situations, conflict with a manager. The assistant must recognise these topics and route them to a human straight away, without trying to answer.
Budget, compliance and calendar
PIPEDA and Ontario privacy expectations call for a privacy impact assessment once the tool processes employee data at scale. Model hosting and logs should stay in Canada. Ontario employers with 25 or more staff must also have a written electronic monitoring policy, which needs updating if the tool logs employee activity.
| Item | Content | 2026 budget (CAD) | Duration |
|---|---|---|---|
| Discovery and corpus | Policy inventory, clean up, current versions | 6,000 to 12,000 | 2 to 3 weeks |
| RAG development | Indexing, answer engine, citations | 12,000 to 26,000 | 4 to 6 weeks |
| HRIS and SSO integration | Teams or intranet, authentication, employee profile | 6,000 to 14,500 | 2 to 3 weeks |
| Compliance | PIA, monitoring policy, union communication | 3,000 to 7,500 | In parallel |
| Testing and pilot | 100 employees, 300 test questions | 3,000 to 5,000 | 2 weeks |
| Monthly run | Canadian hosting, model costs, updates | 600 to 1,800 per month | Continuous |
The model itself is cheap: at 900 questions a month, the usage bill rarely exceeds CAD 150 to 300 a month. Most of the budget goes into preparing the corpus and integration.
Mini case study
Sarah, HR director of a 1,500 employee manufacturing company in Toronto (illustrative scenario), receives 900 questions a month. Each question takes an HR advisor 12 minutes on average, or 180 hours a month.
With a 60 % automatic resolution rate, 540 questions a month no longer reach the team. The saving reaches 108 hours a month, about 1,300 hours a year. At a fully loaded cost of CAD 58 an hour, that is CAD 75,000 a year. For a CAD 47,000 project and CAD 1,200 of monthly run, payback comes in 8 to 9 months. Advisors mostly win back time for individual cases that need real listening.
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FAQ
How much does an AI HR assistant cost for a mid sized company in 2026?
Between CAD 30,000 and 65,000 for the project, then CAD 600 to 1,800 a month to run. The amount depends mostly on the number of policies to ingest and the HRIS connections.
Do we need to involve the union?
Where a collective agreement exists, informing the union early avoids grievances. Plan 1 to 2 months in the calendar for communication and the electronic monitoring policy update.
Does the data stay in Canada?
It should. Choose hosting and a model provider with processing in Canada, and keep logs for 6 to 12 months at most.
What if the assistant gets it wrong?
Each answer cites the policy section used, so the employee can check. In the pilot, aim for under 3 % wrong answers before rollout.
How long to launch the tool?
Count 2 to 3 months, including a 2 week pilot with about a hundred employees. The most variable step is gathering current versions of all policies.
Let's scope your project. Tell us your question volume, your policies and your HRIS: we will estimate the resolution rate, a CAD 30,000 to 65,000 budget and a calendar that fits your internal consultation. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
