Expert guidance and purpose-built tools to help organizations harness AI
Combining senior consulting expertise, an in-house AI development team, and a suite of AI tools, we can work with you in integrating AI into your operations. With a particular focus on non-profit organizations, government and other consulting firms, we provide end-to-end AI transformation services designed to meet organizations where they are in their digital journey. We can help you assess your readiness, prioritize use cases, develop and implement AI strategies, projects and tools, and measure the impact.
End-to-end AI transformation designed to meet you where you are.
Benchmark your current capabilities, data posture, risks, and opportunities. Prioritize where AI can deliver the greatest value.
Identify high-value, low-risk applications tied to your mandate and constraints. Quantify expected gains in time, quality, and cost.
Define governance, resourcing, and a phased delivery plan. Produce a prioritized roadmap from near-term pilots to longer-term investments.
Map current workflows, remove waste, and re-architect for human-in-the-loop AI. Specify controls, handoffs, and audit trails.
Implement targeted automations that cut cycle time while preserving approvals and compliance.
Build or adapt applications such as knowledge-base chatbots, RAG systems, and research accelerators. Integrate with your stack.
Role-based training for analysts, managers, and executives. Practical guardrails and playbooks.
Privacy, security, and responsible-AI reviews. PIA scans, model evaluation, and policy alignment.
Define KPIs, design measurement, and run tests to verify accuracy, bias, and business impact.
At Qatalyst Research Group, we are seamlessly integrating artificial intelligence into every aspect of consulting—from the development of proposals to the analysis of research results, and preparation of reports and presentations. Building on the tools we have developed and lessons we have learned, we now provide services to other consulting firms to assist them integrate AI into their operations, delivering higher quality results within shorter timelines at reduced costs.
Some of the tools that we have developed or are currently developing include:
Through a six stage process, the Generator develops a detailed proposal outline, prepares a draft proposal (drawing from a database of team members profiles and resumes, project descriptions, methodologies, and other proposal components) and scores the results based on the criteria provided in the RFP.
The tool takes input from management and staff members (where relevant), benchmarks the organization against others in the database, identifies opportunities for improvement and then links the users to knowledge databases, online materials or LLM-generated recommendations that can assist them in making those improvements. It can be applied to a wide range of topics.
The tool walks the user through a multi-stage process where they define the research questions, establish parameters for the selection of materials, search for resources or facilitate uploading of resource material, summarize findings, prepare an outline, and developing the first and a second formatted drafts with citations. The tool keeps the human-in-the-loop all through the process and validates the results.
The tool works with the user to build an analytical framework (set of research questions, key indicators, and data sources), outline the methodology, prepare an engagement plan, develop data collection materials, and draft introduction and background sections to be included in the workplan.
The coder takes a data collection file (e.g., Excel), conducts quantitative and qualitative analysis of the raw or filtered data, and produces a formatted technical report with tables and supporting narrative that presents the results by question.
We developed a deep-dive qualitative analysis tool for key informant interviews and other text heavy research. The tool deepens the user’s understanding of the data by presenting results by theme and sub-theme with summaries, supporting bullets, counts and quotes with coding that is easily traceable back to source cells in the data.
Transcripts are uploaded, de-identified, cleaned, summarized, and themed by research question or topic.
Allows users to securely chat with knowledge bases and approved LLMs via an API.
We build retrieval-augmented generation systems for policy, program, knowledge, research and other data repositories.
Users can upload, summarize, and interrogate one or a group of source documents.
We have integrated various tools into a single platform that facilitates sharing project information across tools. Check out our AI Policy here.
Measurable gains without relaxing standards.
Privacy, security, and human oversight built into the workflow.
From pilot to supported deployment with documentation and training.
Clear KPIs and before/after metrics.
We have been providing management consulting services to clients in the government, public, non-profit and private sectors across Canada for more than 30 years.
Qatalyst's headquarters is located on the traditional, ancestral, and unceded Indigenous territories of the ʷməθkʷəy̓əm (Musqueam), sḵwx̱wú7mesh (Squamish), and sel̓íl̓witulh (Tsleil-Waututh) First Nations. We are grateful and fortunate to live and work on this beautiful land.