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The Challenge in Consulting:
Traditional consulting models often rely on time-based billing, which is increasingly difficult to justify as AI speeds up many consulting tasks. There is a growing need to shift the focus from hours worked to clear outcomes achieved.

Enter, TheAX
TheAX stands for Accelerated Experience, a platform that helps consultancies create AI-powered assessments. Clients complete these assessments on their own schedule, while consultants use AI to quickly analyze responses and prioritize follow-up actions enabling faster, more efficient service delivery.

Origins of the Idea
The platform was co-founded by Kandola and Robert Streeter, a seasoned consultant acquaintance who recognized the opportunity to transform consulting using AI. They initially built a custom application for Streeter’s own consultancy, which led to the concept evolving into a full startup.

Real-World Impact
One client successfully used the platform to assess over 1,000 individuals within one week during a government engagement, a feat that would have been nearly impossible with traditional methods involving numerous meetings and manual analysis.

Handling Complex Data:
Unlike typical surveys relying on simple multiple-choice answers, The AX can analyze long-form textual responses using AI, allowing consultants to capture richer, more nuanced information and apply maturity models for deeper insights.

Core Benefits:
The use of AI drastically reduces the time consultants spend on analysis, enabling them to charge for outcomes rather than hours, increasing efficiency, reducing client costs, and providing more timely recommendations.

AI as a Quality Driver:
Today’s AI enhances speed and analysis capacity, but in the near future, Kandola expects it to raise the quality of consulting output producing deeper insights faster and supporting more strategic recommendations.

Massive Efficiency Gains:
Kandola equates the shift to AI-powered consulting with the transition from live lectures to online video learning. By digitizing and automating key consulting processes, consultancies can scale their reach exponentially servicing thousands rather than tens at once.

Personalized, Data-Rich Insights:
Unlike surveys that capture only surface-level data, platforms like The AX process detailed, open-ended responses to generate insights that are unique to each client. This balance between scale and personalization is what makes AI-driven consulting so powerful.

Targeting Boutique Consultancies:
The AX currently focuses on small and mid-sized consulting firms. These organizations often face resource constraints but can move faster and pivot more easily than large firms. The platform helps them compete with industry giants by enabling leaner teams to deliver enterprise-level impact.

Shifting Inefficiencies in Consulting:
Many consultancies still juggle fragmented tools, project notes in one app, proposals in another, and client meetings managed elsewhere. Kandola points out that the lack of an integrated consulting platform is itself a major inefficiency.

Built-In CRM for Growth:
The platform’s consultancy-specific CRM ties directly into its assessment tools. Consultants can create specialized assessments (for example, on employee wellness) and use them as lead magnets on platforms like LinkedIn. Prospective clients can take a short assessment that automatically drives new data and potential engagements back into the CRM system, a smart blend of marketing and delivery.

AI-Driven Benchmarking and Learning Systems:
One of the biggest gaps in consulting is the lack of standardization. Each firm develops its own frameworks, which often leave with employees when they move on. The AX aims to change this by using a knowledge base and graph-based system that captures consulting engagements over time. This allows AI to benchmark projects within specific niches and create more consistent models across firms.

Objective Industry Benchmarking:
In the future, a client completing an assessment will not just see whether their organization is performing well or poorly in isolation. They will be able to compare their results against similar organizations seeing, for example, where they stand in the 23rd or 80th percentile for employee wellness. This creates a more objective baseline for improvement and provides data-driven clarity that traditional consulting cannot easily offer.

Solving for Knowledge Loss:
Consulting firms frequently lose intellectual capital when senior consultants leave or projects wrap up. Insights often remain buried in files, documents, or personal notes. By design, The AX captures this knowledge within structured maturity models and data frameworks, preserving and transferring valuable consulting experience for future engagements.

Turning Reports into Lead Magnets:
The platform continues to merge marketing and delivery. Clients receive detailed reports with charts and analysis, which are insights that would typically require manual consultant effort. These same assessments double as awareness tools: potential clients can taste the value of a consulting engagement through a free or simplified version, while consultants gain qualified leads for follow-up.

Path to Industry Benchmarking:

Kandola describes a future where consultancies will not only analyze client data in isolation, but also benchmark clients objectively across industry and regional peers. As more firms adopt standardized models and contribute anonymous data, clients will receive reports showing where they stand on key measures, empowering continuous improvement and making consulting more scientific than ever before.

The vision: ongoing benchmarking, automatic improvement of maturity models, and a new level of actionable insights for even the smallest boutique consultancies.

Not surprisingly, the conversation also turns to the impact of AI on consulting careers. While the introduction of AI-driven platforms has led some large firms to pause hiring and restructure teams, Kandola sees opportunity in this transformation.

• For consultancies: AI lowers the barrier for solo practitioners and small firms to compete with established giants, handling everything from analysis to sales and CRM in one integrated platform.

• For individuals: Roles are shifting from junior analyst (whose tasks are being automated) to “AI manager”, where new consultants oversee and direct the work of AI systems instead of collecting and processing data manually.

• The result? Continued demand for consulting, with new types of roles and skills valued over rote, repetitive analysis.

What should Junior and Senior Consultants do next?

For early-career consultants:

• Invest time in understanding AI tools that are reshaping the industry.

• Learn how to design, interpret, and deliver data-driven recommendations using digital platforms.

• Embrace creative problem-solving, client empathy, and communication, as these remain uniquely human strengths.

For experienced managers:

• Focus on learning how to lead teams (and AIs) through transformation.

• Develop strategies for leveraging knowledge bases, maturity models, and benchmarking to deliver scalable, repeatable value.

• Stay curious about how technology can enable, rather than threaten, the consulting craft.

Unlimited Upside

For managers and senior professionals, the focus shifts from pure efficiency to scalability and reputation. By harnessing technology, sharing knowledge through social media, and building a personal brand, consultants can reach infinite audiences, moving from one-off engagements to value that compounds over time. Creating YouTube tutorials or LinkedIn posts, for example, can impact thousands without increasing work hours, a powerful example of what Kandola calls “unlimited upside”.

Rather than fearing AI, the most successful consultants will be those who embrace it as a tool for productivity and impact. Platforms like The AX can enable one person to do the work of an entire team, delivering assessments, benchmarking, and actionable insights at scale. This enables consultants to offer more, faster while enhancing, not diminishing, their value.

Clients Expect AI Expertise

A notable shift is underway: clients today increasingly expect their consultants to be not just tech-savvy, but experts in leveraging AI for real business outcomes. This means consultancies must invest time in researching, testing, and staying a step ahead on use cases and tools beyond the basics like ChatGPT and Copilot, ensuring they can provide guidance for both current and emerging needs.

Outcomes Matter

AI tools often cost a fraction of traditional consulting services, yet can enable solo consultants or small teams to achieve what once took entire departments. Kandola emphasizes that clients today are less concerned with headcount and more focused on the end results delivered, so consultants should frame AI adoption as an enabler for outcome-based engagements, not just as a path to lower labor costs.