AI Integration & Consulting Solutions

What We Can Do For You

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. Our services include:

• Assessment of AI Readiness (Benchmarking). Baseline your current capabilities, data posture, risks, and opportunities.
• 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, operating model, resourcing, and a phased delivery plan aligned to procurement and privacy requirements. Produce a prioritized roadmap with near-term pilots and 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.
• Transcript Analyzers. Transcripts are uploaded, de-identified, cleaned, summarized, and themed by research question or topic.
• 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.
• 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 here.

What We Achieve With AI

• Faster delivery, same or deeper 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.