A look inside QverLabs' process for delivering comprehensive AI strategy reports in 72 hours, including a case study where we identified 25-38 Cr in annual EBITDA impact for a professional services firm.
Traditional AI consulting engagements take 8-12 weeks and cost $200K-500K before a single recommendation is implemented. At QverLabs, we deliver comprehensive AI strategy reports in 72 hours, for free. This is not a stripped-down teaser. Our reports routinely exceed 100 pages and identify specific, quantified opportunities that translate to real EBITDA impact. Here is how we do it, and the results it produces.
The 72-Hour Process
Our process begins the moment a client completes their AI consultation intake. In the first 12 hours, our team conducts deep research into the client's industry, competitive landscape, regulatory environment, and technology stack. We analyse publicly available information, industry benchmarks, and proprietary data the client shares during the intake process.
Hours 12-36 are dedicated to use case identification and impact modelling. We map every department and function against our database of 500+ proven AI use cases, filtering for relevance based on the client's industry, size, and maturity. Each selected use case is quantified using conservative, moderate, and aggressive impact scenarios. We model labor savings, revenue uplift, error reduction, and speed improvements separately to ensure each estimate is defensible.
Hours 36-72 focus on synthesis, strategy, and delivery. We build a prioritized implementation roadmap, identify dependencies and prerequisites, estimate resource requirements, and compile everything into a structured report. The final deliverable includes executive summary, use case catalog with ROI estimates, implementation roadmap, technology recommendations, and risk assessment.
Case Study: Professional Services Firm
To illustrate the depth of our reports, consider a recent engagement with a mid-size professional services firm (anonymized for confidentiality). The firm had $200+ Cr annual revenue, 500+ employees, and operations spanning advisory, compliance, and managed services.
Our 72-hour analysis produced a 144-page report identifying 18 high-impact AI use cases across five departments. The headline finding: AI implementation across the prioritized use cases could deliver 25-38 Cr in annual EBITDA impact within 18 months. The largest opportunities included automating recurring compliance audits (8-12 Cr annual savings), AI-powered proposal generation reducing sales cycle time by 40% (5-8 Cr revenue acceleration), and intelligent document processing eliminating 15,000+ hours of manual data entry annually (4-6 Cr in labor reallocation).
Each use case included a detailed implementation plan: required data sources, recommended technology stack, integration points with existing systems, resource requirements, timeline, and expected ROI curve. The client's CTO described it as "more actionable than the $300K McKinsey engagement we did last year."
Why We Give It Away Free
The obvious question: why would we give away work that consulting firms charge $200K-500K for? The answer is strategic. Our agentic AI systems and compliance platforms are what generate revenue. The strategy report is the most efficient way to demonstrate our capabilities and build trust. Clients who see the depth of our analysis in the strategy report have high confidence in our ability to execute the implementation.
The economics work because our own AI systems accelerate the research and analysis process dramatically. What takes a Big 4 consulting team 8 weeks of analyst time, our combination of AI tools and senior strategists produces in 72 hours. We are not cutting corners. We are using the same technology we recommend to our clients.
What Makes Our Reports Different
Three things distinguish our strategy reports from typical consulting deliverables. First, specificity. We do not recommend "explore AI for customer service." We specify which AI architecture to use, which data to train on, which integration points to build, and what ROI to expect at 6, 12, and 18 months. Second, honesty. We explicitly identify use cases that are not worth pursuing and explain why. A shorter, focused list of high-impact opportunities is more valuable than a long list of theoretical possibilities. Third, independence. We recommend the best technology for each use case, even if that technology is not ours. Trust is more valuable than any single deal.
If you are considering AI for your organization, our free AI strategy report is the fastest way to get a clear picture of what is possible, what it will take, and what it will deliver.
Frequently asked questions
QverLabs uses its own AI systems to accelerate research, use case identification, and impact modelling. The combination of AI-powered analysis tools and senior strategists compresses what traditionally takes 8-12 weeks into 72 hours without sacrificing depth. Reports routinely exceed 100 pages with quantified use cases and implementation roadmaps.
Yes. Our reports typically include 100-150 pages covering executive summary, 15-25 identified use cases with ROI estimates, a prioritized implementation roadmap, technology recommendations, resource requirements, and risk assessment. Clients consistently describe them as more actionable than paid consulting engagements from larger firms.
The EBITDA impact varies by company size and industry. For mid-market companies ($100-500 Cr revenue), we typically identify 10-50 Cr in annual impact through a combination of cost savings, revenue acceleration, and operational efficiency improvements. Impact is modelled across conservative, moderate, and aggressive scenarios.
The report is yours with no strings attached. You can implement the recommendations with your internal team, hire any consulting firm, or work with QverLabs. If you choose to work with us, we move directly to implementation based on the report's prioritized roadmap, saving months of discovery work.
