Human Resources
Structure onboarding and make sense of employee feedback.
Onboarding plans, anonymized summaries and jointly defined people metrics.Try prompts for your roleKibaru Consulting helps you modernize data platforms, build useful dashboards and apply AI to your team's work—with practical support in English and French.

Solve a reporting challenge, modernize your architecture, explore AI or build team capability. The right starting point is the one your business needs.
Reporting takes too long, sources disagree or teams use different definitions? We help turn your data into a clear view of business performance.
Data is fragmented or your platform is reaching its limits? Kibaru supports the scoping, modernization and integration of your data on Azure, Databricks and Microsoft Fabric.
Your team spends time searching, summarizing or repeating the same steps? We help choose worthwhile AI use cases and integrate them into a controlled workflow.
A tool only creates value when your team can use it. Our bilingual workshops and coaching connect data and AI skills to the work your people actually do.
The right project connects technology to the people using it. Explore how data and AI can support your business function.
Structure onboarding and make sense of employee feedback.
Onboarding plans, anonymized summaries and jointly defined people metrics.Try prompts for your roleConnect sources and make reporting dependable.
Data pipelines, quality checks and decision-focused dashboards.Try prompts for your rolePrioritize actions and guide team performance.
KPI briefs, action plans and assistance with repetitive work.Try prompts for your roleExplain variances and strengthen monthly reviews.
Budget-versus-actual reporting and consistency checks with your team.Try prompts for your roleA collaborative approach connecting your data, AI opportunities and team capabilities.
Explore a period-by-period reporting demo and try a non-sensitive CSV. The file is processed only in your browser. For your project, we scope the KPIs, sources and quality checks together.
Explore resources for your teamAn example with fictional data, not a client case study or a performance promise.
A first 20-minute conversation about your goals, environment and the obstacles your team faces.
Proposed deliverables, responsibilities and a fixed price agreed before work begins.
An incremental delivery approach, review points and validation with the people who will use the solution.
Documentation and handover within the agreed scope so your team can use and evolve the result.
Agreed expectations, decisions made with you and explicit attention to your data and your team's ability to use the result.
A confidentiality agreement is signed before access to your data.
No data is sent to an AI tool without your written agreement.
Results are reviewed by a person and acceptance points are defined with you.
After a 20-minute conversation, we can propose a scope and fixed price. Looking to modernize a cloud platform? Let's start with your architecture and constraints.
Clarify reporting needs and get a prioritized, one-page action plan.
Discuss this optionIdentify 3–5 use cases ranked by effort and potential benefit, with constraints to examine.
Discuss this optionThree hours to practise relevant team use cases using non-sensitive examples.
Discuss this optionBefore adding a chart, check each KPI's calculation, scope and source. The same label can describe two different realities. Documentation and business validation matter as much as the dashboard.
Read the insightYour sources, skills, processing needs and BI environment should guide the architecture. These platforms can address different or complementary needs: compare governance, operations and costs rather than looking for one universal winner.
Read the insight