Big 4 consulting firms charge $100K-500K for AI strategy engagements. QverLabs delivers equivalent depth for free. Here is a side-by-side comparison and why the traditional consulting model is broken.
If you have ever received a proposal from McKinsey, Deloitte, or Accenture for an "AI strategy assessment," you have seen the price tag: $100K-500K for an 8-12 week engagement that produces a PowerPoint deck with broad recommendations. In 2026, this model is not just expensive. It is obsolete. At QverLabs, we deliver AI strategy reports of equivalent depth in 72 hours, at no cost. This is not charity. It is a better business model built on AI-native capabilities.
What $100K Buys You at a Big 4 Firm
A typical Big 4 AI strategy engagement follows a predictable pattern. Weeks 1-2: a team of 2-3 consultants conducts stakeholder interviews and reviews existing documentation. Weeks 3-6: the team researches industry benchmarks, identifies potential use cases, and builds a preliminary framework. Weeks 7-10: findings are synthesized into a slide deck with recommendations. Weeks 11-12: the deck is presented, feedback is incorporated, and a final version is delivered.
The output is typically a 50-80 page presentation covering market landscape, AI maturity assessment, 8-15 use cases described at a high level, a generic implementation roadmap, and a recommendation to (surprise) hire the same firm for implementation. The total cost, including travel, analyst time, and partner oversight, ranges from $150K-400K. For global engagements, it can exceed $1M.
What Our Free Report Includes
Our AI strategy report covers the same ground in greater depth. We deliver 100-150 pages of analysis including detailed industry and competitive intelligence, AI maturity assessment with specific gap identification, 15-25 use cases with granular ROI modelling (conservative, moderate, and aggressive scenarios), implementation roadmap with dependencies, timelines, and resource requirements, technology architecture recommendations, risk assessment and mitigation strategies, and a change management framework.
The critical difference is specificity. Where a Big 4 report might recommend "implement AI-powered customer service," our report specifies the exact architecture (retrieval-augmented generation with fine-tuned embeddings on your knowledge base), the data requirements (minimum 10,000 resolved tickets for initial training), the expected performance curve (60% automation in month 1, 80% by month 6), and the cost model ($15K setup plus $3K/month inference costs).
Why the Traditional Model Is Broken
The Big 4 consulting model was designed for a world where specialized knowledge was scarce and expensive to produce. Highly paid analysts spent weeks gathering information, synthesizing it, and packaging it into recommendations. AI has fundamentally disrupted this value chain. The research, benchmarking, and use case identification that occupied 80% of a traditional engagement can now be done by AI systems in hours rather than weeks.
This does not mean human expertise is unnecessary. Our senior strategists review every report, challenge assumptions, and ensure recommendations are grounded in practical reality. The difference is that AI handles the labor-intensive analytical work, allowing human experts to focus on judgment, strategy, and quality assurance. The result is better output in less time at dramatically lower cost.
Our Business Model Explained
We give away the strategy report because our revenue comes from building and deploying agentic AI systems, compliance platforms, and custom AI solutions. The strategy report serves three purposes. First, it demonstrates our capabilities more convincingly than any sales pitch. Second, it creates a detailed implementation blueprint that accelerates project delivery if the client chooses to work with us. Third, it builds trust. When a client sees that our report honestly identifies opportunities where AI will not help, they trust our recommendations about where it will.
The conversion economics are straightforward. A meaningful percentage of companies that receive our strategy report engage us for implementation. The lifetime value of those engagements far exceeds the cost of producing the reports. Meanwhile, every company that receives a report, whether they become a client or not, becomes a reference point for the quality of our work.
If you are currently evaluating AI strategy consulting options, request our free AI strategy report before committing budget to a traditional engagement. Compare the depth, specificity, and actionability side by side. We are confident in the outcome of that comparison.
Frequently asked questions
QverLabs uses its own AI systems to accelerate the research and analysis that traditionally takes consulting teams 8-12 weeks. The strategy report serves as a demonstration of capabilities and a blueprint for implementation projects, which is where QverLabs generates revenue. The economics work because AI dramatically reduces the cost of producing the report.
QverLabs' free report typically delivers 100-150 pages of analysis with 15-25 quantified use cases, compared to 50-80 pages with 8-15 high-level use cases from a Big 4 engagement costing $150K-400K. The key differentiator is specificity: QverLabs provides implementation-ready detail including architecture, data requirements, and cost models for each use case.
No catch. The report is delivered with no obligation, no contract, and no strings attached. You can implement the recommendations with any team or firm. QverLabs offers the report because a meaningful percentage of recipients choose to engage QverLabs for implementation based on the demonstrated quality of the analysis.
Quality should be judged on the output, not the price. QverLabs' reports are produced by the same caliber of senior strategists you would find at top consulting firms, augmented by AI tools that enable deeper analysis in less time. Request the report and compare it to any paid engagement, side by side, on depth, specificity, and actionability.
