The advisory space has been long dominated by large firms like McKinsey, Bain, BCG and the Big Four. These firms have traditionally relied on large teams and structured methodologies to help organizations navigate complex business challenges. However, a new AI driven competitive force is emerging that is reshaping this model and putting pressure on these incumbents. AI native consulting startups, built around an “obelisk” structure rather than the traditional pyramid, are delivering faster, cost efficient and smarter solutions, directly challenging the established firms’ way of working.
The Shift to AI: From Pyramid to Obelisk
The new age AI-native advisory firms fundamentally rethink the traditional consulting methodologies i.e. Pyramid model. In this model, a broad base of junior consultants performs most of the basic manual work – like research, data analysis and other repetitive tasks – supporting a narrow top tier of senior experts responsible for strategic direction. This approach, while effective, has often been expensive and inaccessible to smaller and mid-sized businesses. With recent advances in AI these entry-level tasks that previously required a large team of junior consultants are now being automated swiftly and efficiently. This shift is paving the way for new consulting structure i.e. the Obelisk model followed by these new firms, with AI at their core.
This new organizational structure feature fewer hierarchical layers, resulting in smaller, more agile teams; and specialized roles such as AI facilitators who design and implement AI-driven processes, engagement architects who lead projects with AI-enhanced insights, and client leaders who build trust and manage relationships with senior executives. A recent study by HFS Research revealed that nearly 65% of enterprises believe that traditional consulting models no longer deliver real value while 83% of executives say that AI-powered consulting provides greater outcomes. The same study also said that AI-powered consulting usage is expected to nearly triple from 12% to 35% within the next two years.
Some companies that are leading in this space include:
PromptQL
Backed by $136 million in funding, PromptQL offers an enterprise platform that builds custom AI analysts by integrating internal data with foundation models. These AI agents can perform tasks typically handled by data scientists—surfacing insights, generating reports, and continuously learning. For companies needing human oversight, PromptQL provides expert engineers at $900/hour, a rate that rivals top-tier consultants but with AI speed and scalability.
Aily Labs
Founded by a former Novartis executive, Aily Labs focuses on “decision intelligence.” Its AI brain consolidates siloed corporate data to deliver actionable insights in minutes rather than weeks. Unlike traditional firms that work on discrete projects, Aily embeds an always-on AI partner into operations, making decision-making a continuous, data-driven process.
Profound
Specializing in Generative Engine Optimization (GEO), Profound helps brands optimize their visibility in AI-driven searches and chatbots like ChatGPT. What used to require focus groups and brand consultants is now automated, giving marketing teams real-time insights into how consumers interact with generative AI platforms.
Xavier AI
Billing itself as the world’s first AI strategy consultant, Xavier AI can produce a 60-page business plan or a detailed marketing strategy in hours. Its proprietary reasoning engine aims to democratize consulting, making services accessible to businesses that could never afford McKinsey-level fees.
These startups share several distinguishing characteristics. In terms of speed, their AI tools can process and analyze vast volumes of documents and datasets in hours instead of weeks. On cost efficiency, automated workflows reduce non billable and low-value hours, enabling more competitive pricing without sacrificing margins. Their platforms are inherently scalable, capable of serving many clients simultaneously without proportional increases in headcount. Lastly, they enhance accessibility: mid-sized companies and startups now gain access to analytical depth and strategic insight that was once largely reserved for Fortune 500 enterprises.
How Are Big Consulting Firms Responding?
Large consulting firms are actively responding to this disruption. McKinsey’s QuantumBlack unit now houses 5,000 AI experts and partners with over 1,000 tech providers. Accenture has launched a massive upskilling initiative to train over 700,000 employees in agentic AI to meet changing client expectations. Additionally, Deloitte has invested $3 billion to double its AI workforce to 80,000 specialists. Despite these advances, one major challenge which these firms are facing is agility. While startups can move quickly and adapt to changing market conditions, incumbents tend to move more carefully.
The Hybrid Future of Consulting
While AI is transforming the consulting industry, it's unlikely to completely replace human consultants, especially for Fortune 500 clients. Large enterprises still value the trust, governance, and relationship management that big firms offer. However, up to 30% of traditional consulting work could shift to specialized AI firms by 2025, especially in areas like pricing strategy, cost optimization, and digital transformation. With this, the most likely scenario is a hybrid model, where AI-native players handle the initial data heavy tasks and analytical insights while human focus on strategy and change management. As a result, the role of the consultant is likely to evolve.
Conclusion
AI startups are not just building tools; they're rewriting the consulting playbook. By democratizing access, accelerating insights, and reducing costs, they're forcing an industry that hasn't changed in generations to reinvent itself. For businesses, this means more choices, faster decisions, and a future where strategy is powered by both human judgment and machine intelligence.
