Yesterday, I wrote that the fastest path to creating a structural cost advantage in the services industries is to productize your service model. I believe this will become one of the defining strategic shifts of the next decade for consultants, attorneys, accountants, and fractional executives because the economics of expertise are changing and many firms have not fully realized it yet.
The Market Has Already Changed Expectations
Clients now assume you are using AI, whether you actually are or not.
That assumption alone is reshaping expectations around. They are expecting faster response times, reduced pricing, more personalization, better insights, and greater perceived value. Clients want deeper insights much faster so that they can make better business decisions in a timely manner.
The problem is that many firms have not structurally changed how they operate. They are still customizing every engagement, the most important knowledge is stuck in the brains of the partners, they are using outdated manual frameworks, and they have no controls over AI usage while mandating its use. Clients assume AI-driven efficiency exists when it really does not and this drives negative client perceptions.
The Real Risk Is Not AI, It is an Unstructured Operating Model
Many firms are currently stuck in an unstable middle ground. They market AI capability externally while internally operating with fragmented systems, inconsistent workflows, and non-repeatable delivery processes. This results in inconsistent quality, slow turnarounds, weak institutional memory, and limited scalability apart from adding headcount while your competitors are reducing headcount.
The issue is not whether firms are “using AI.” The issue is whether their expertise has been converted into systems. The firms that simply use AI will gain temporary efficiencies. Firms that systemize their expertise will create structural advantages that is highly amplified when use is structured and human controls are built into the process.
Productization Does NOT Mean Removing Personalization
This is where many traditional firms misunderstand productization. They assume that standardized means commoditized and customizable equals valuable. That may have been true in the pre-AI era. However today, unstructured customization often creates inefficiency rather than differentiation.
Productization does not mean ignoring the client’s unique needs. It means the underlying framework, methodology, diagnostic logic, and delivery architecture are standardized, while the contextual outcome remains personalized. The system is repeatable. The insight is contextual. That is a huge distinction. Clients do not necessarily want you reinventing your internal processes every time.
They want faster clarity, stronger insights, and proactive guidance that is customized to their context. They do not really care about your internal systems. They care about the highly personalized outcomes that you achieve for them. They do not need to understand how the systems work when they are receiving the outcomes they sought in hiring you.
The Pricing Narrative Has Changed Permanently
This shift becomes especially important when discussing fees. Historically, firms justified pricing through labor intensity. “This took 40 hours.” so it was worth 20k based on a $500 an hour billing rate. They did not say it very often. However, they did not think you had a value of 1M per year.
Clients think you are using AI and that it does take you as long to complete their work, and they want the work discounted from prior years or similar projects. It does not matter that AI is not significantly reducing the time spent on engagements because their perception is their reality. That means firms can no longer rely solely on time spent as the primary value narrative.
Instead, the conversation and systemized processes need to drive business value or improve the client experience. The outcomes should take the form of more profit, higher business, multiples, reduced risk, better information for decision making, and strategic insights.
This is an example related to attorneys. However, the underlying themes are the same for all service providers.
An attorney's primary role is to reduce risk and most attorneys do a great job at that. However, the bills that they sent to clients listed time charges in tenths of an hour and the billing was based on time. Value was a function of six minute increments throughout the billing period. The professional service world knows that if the billable hour is the methodology now, the entire model will collapse whether they are using AI or not because clients think they are spending less time because of AI. The move to value billing has to shift the narrative to risk reduction and the probability of the loss times the potential magnitude of the loss if the true measure is risk reduction.
When an attorney articulates their value in that way, their services are a bargain. However, the client remembers the accumulation of hours and will probably have a difficult time reconciling why they were provided a long list of time entries in previous years and now they receive a far shorter bill with no time entries and a computation of value that no one has even articulated yet. The narrative that truly defines the value of their services could be viewed as a change in the rules.
This problem is not particular to attorneys. Most of the consulting and professional service firms will have the same core problem of the changing the narrative regarding billing. The presentation of the invoice is just dramatically more different with legal billing.
The Hidden Power of Productization
One of the most overlooked benefits of productization is that if your expertise is systematized, you are not recreating the framework every time. It actually takes you less time and that reduces or eliminates the impact of an expectation of reduced fees as long as the reduction in time spent is diverted to service delivery that generates revenue. This is one of the biggest problems in AI right now. Productivity measures are not arriving on the income statement because the additional capacity is not being pushed toward more revenue generation per employee or less expense in another category.
One of the under-appreciated aspects of value billing is that the framework and the previous iterations of the client work can be leveraged. You are now performing incremental analysis against an existing intelligence system rather than starting from scratch. You probably end up spending less time than the client expects and that aligns far better with a value-billing framework.
You established the framework and customized the context before. That prior context does not need to be recreated, it now compounds and the system learns through incremental analysis that drives speed, consistency, and higher margins.
Most importantly, it creates something extremely difficult to replicate, a structural cost advantage over your competitors. You now control pricing and a far higher multiple because this is one of the most powerful competitive advantages that you could ever have.
The Future Belongs to Firms That Convert Knowledge Into Systems
The firms that thrive over the next decade will not simply be the firms with the smartest individuals. They will be the firms with the best knowledge structure. The winning firms will systemize expertise and institutional knowledge amplified by the speed and real time nature of AI continuously deliver value to clients.
That last point is very important. Productization provides the client with continuous insights, proactive guidance, real-time feedback, and strategic decision support. You are now an essential part of the client team rather than a service provider.
Productization makes that possible because the firm is no longer recreating its intellectual process every time work begins. Once this shift occurs, the performance of the firm and the benefits to the clients are dramatically amplified by the combination of productization with the speed and increased depth of AI.