Consulting has traditionally been associated with strategy presentations, management advice, operational reviews and large transformation projects. But as artificial intelligence enters everyday business operations, the consulting industry is being pushed to redefine what clients expect from professional advice.
One of the latest areas attracting attention is procurement — the process through which businesses source materials, negotiate with suppliers and manage purchasing costs.
A November 12 industry briefing highlighted how companies are increasingly exploring AI agents to automate procurement and supply-chain activities. These systems can help organise purchasing workflows, analyse supplier information and identify potential disruptions.
The opportunity is substantial. Procurement teams often manage thousands of suppliers, contracts, invoices and delivery schedules. Much of the work involves repetitive information processing, while important decisions depend on understanding costs, risk and long-term supplier relationships.
AI tools could reduce the time spent on administrative tasks and allow employees to focus on higher-value activities such as negotiation, supplier development and strategic planning.
Recent industry analysis has also suggested that businesses redesigning procurement around AI can achieve significant productivity improvements and returns on investment. However, results depend on the quality of implementation, the business environment and how effectively organisations integrate new systems into existing operations.
This creates a growing opportunity for consultants. Companies may purchase AI software, but they still need help identifying the right use cases, redesigning processes, training employees and measuring outcomes.
The role of a consultant is therefore changing. Instead of simply recommending technology, professionals increasingly need to understand how it affects the entire organisation — from finance and operations to cybersecurity, compliance and workforce planning.
The shift is also creating new competition. Technology companies, specialist AI firms and traditional consulting networks are all trying to become trusted partners for businesses undergoing digital transformation.
Consulting firms are responding by building technology partnerships, developing AI expertise and expanding managed services. The competitive advantage may increasingly come from combining industry knowledge with the ability to implement solutions at scale.
But there are risks. AI systems can make mistakes, work with incomplete information or produce recommendations that require human verification. Businesses must also consider data privacy, supplier confidentiality and accountability when automated systems make or influence purchasing decisions.
For consultants, this means technical knowledge alone will not be enough. Clients will continue to need professionals who can understand business priorities, communicate clearly, manage change and take responsibility for implementation.
The future consulting model may be less focused on producing reports and more focused on delivering measurable results. As AI handles more routine analysis, human expertise could become more valuable in complex decision-making and transformation.
The firms that succeed may be those that use AI not simply to reduce costs, but to help clients build stronger, smarter and more resilient businesses.
