AI Integration & Consulting Solutions
Expert guidance and purpose-built tools to help organizations harness AI
What We Can Do For You
Qatalyst helps non-profits, governments and consulting firms in Canada adopt AI, from readiness assessments and strategy to custom tools and staff training. Its in-house team built the AI tools Qatalyst uses in its own research, including a proposal generator used on over 50 proposals.
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.
Assessment of AI Readiness
Benchmark your current capabilities, data posture, risks, and opportunities. Prioritize where AI can deliver the greatest value.
Development of Use Cases
Identify high-value, low-risk applications tied to your mandate and constraints. Quantify expected gains in time, quality, and cost.
AI Strategy Development
Define governance, resourcing, and a phased delivery plan. Produce a prioritized roadmap from near-term pilots to longer-term investments.
Process (Re)Design
Map current workflows, remove waste, and re-architect for human-in-the-loop AI. Specify controls, handoffs, and audit trails.
Workflow Automation
Implement targeted automations that cut cycle time while preserving approvals and compliance.
Tool Development and Adaptation
Build or adapt applications such as knowledge-base chatbots, RAG systems, and research accelerators. Integrate with your stack.
Training and Change Management
Role-based training for analysts, managers, and executives. Practical guardrails and playbooks.
Governance and Risk Assessments
Privacy, security, and responsible-AI reviews. PIA scans, model evaluation, and policy alignment.
Evaluation and QA
Define KPIs, design measurement, and run tests to verify accuracy, bias, and business impact.
How We Use AI in Our Operations
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:
Proposal Generator
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.
Benchmarking Tools
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.
Comprehensive Literature Review
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.
Workplan Development
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.
Survey Coder
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.
Detailed Qualitative Analyzer
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.
Transcript Analyzers
Transcripts are uploaded, de-identified, cleaned, summarized, and themed by research question or topic.
Knowledge-Exchange Chatbots
Allows users to securely chat with knowledge bases and approved LLMs via an API.
RAG Systems
We build retrieval-augmented generation systems for policy, program, knowledge, research and other data repositories.
Document QA & Chat
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.
What We Achieve With AI
Fast delivery, same rigour
Measurable gains without relaxing standards.
Responsible by design
Privacy, security, and human oversight built into the workflow.
Production readiness
From pilot to supported deployment with documentation and training.
Evidence of impact
Clear KPIs and before/after metrics.
Frequently asked questions
What is an AI readiness assessment?
An AI readiness assessment reviews whether an organization has the data, processes, skills, policies and risk controls it needs to use AI safely and usefully, and ends with a short list of priority uses. Qatalyst's assessments benchmark current capabilities, data posture, risks and opportunities, then identify high-value, low-risk applications tied to the client's mandate and estimate the expected gains in time, quality and cost.
Is our data kept in Canada?
For the KnowledgeFlow platform that Qatalyst deploys with Leading AI, yes: it runs in the client's own Microsoft Azure environment in Canadian regions, and client data never trains public AI models. Qatalyst's own Qatalink platform also offers Canadian-hosted AI that removes personal information before analysis. Where data is stored is only part of the issue, so Qatalyst also reviews who could legally compel access to it. Read our data sovereignty guide.
What AI tools has Qatalyst built?
Qatalyst has built more than ten AI tools for research and client work since 2023. They include a proposal generator, a literature review tool that cites its sources, a survey coder, interview and transcript analyzers that trace each theme to a quote, a benchmarking tool, document question-and-answer tools and retrieval-augmented generation (RAG) systems. The proposal generator has been used on over 50 proposals. See the proposal generator case study.
What is retrieval-augmented generation (RAG)?
Retrieval-augmented generation (RAG) is a method in which an AI system first searches a defined set of documents, then writes its answer from the passages it found and points to those sources. Because answers come from approved material, they are easier to check than answers from a general chatbot. Qatalyst builds RAG systems for policy, program, research and knowledge repositories, and KnowledgeFlow is a RAG-based platform.
How does Qatalyst make sure AI is used responsibly?
Qatalyst keeps a person reviewing the work at each stage and builds privacy and security controls into its AI workflows. Its governance and risk services cover privacy, security and responsible-AI reviews, privacy impact assessment (PIA) scans, model evaluation and policy alignment. It tests tools for accuracy and bias, and it publishes the internal AI policy that sets out how its staff and partners use AI. Read Qatalyst's AI policy.
Can Qatalyst help other consulting firms use AI?
Yes. Qatalyst provides AI services to other consulting firms, drawing on the tools it built and the lessons it learned using AI in its own practice. Within Qatalyst, AI now supports proposal development, literature reviews, survey coding, interview analysis and report preparation. Its AI proposal generator has cut the firm's proposal development time roughly in half, and Qatalyst offers similar proposal automation to other organizations.
Impact Stories
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.
