How software contract structure can maximize long-term value

Hidden costs in poor contract structures

Hidden costs often found in poor software contract structures, according to Andy Webber, managing director at software development consultancy Atomic, include the following:

• User-based licenses that get a lot pricier as the team grows.
• Consumption pricing where the bill climbs with usage, API calls, storage or AI model use.
• Charges for integrations, data exports or API access that everyone assumed were included.
• Professional services fees for setup, onboarding, upgrades and support.
• Lock-in costs that hit later, when you try to move off the platform.
• Terms that force you onto a higher tier or extra modules to get a feature you actually need.

"The biggest one is usually the cost of change. If the contract makes it expensive to change a workflow, add an integration or adapt the platform as the business moves on, you carry that weight for years," Webber added.

There are additional gotchas to look out for that are commonly hidden in the contract structure. Total cost of ownership tops the list of traps written in the fine print. Capacity commitments, true-up mechanics (i.e., reconciliation of actual usage versus contracted usage), overage rates and renewal escalators can quietly compound over the life of an agreement.

Watch for inflexible capacity commitments that can make your company pay for overbought, unused shelfware.

"The most insidious hidden cost in poor software contract structures is unutilized capacity, or what I call the 'shelfware tax.' Traditional contracts force buyers to predict their future needs, leading them to over-provision users or data volume just to hit a specific discount tier," said Steve Ward, founder of Authenticate.com, an identity authentication and background verification platform.

Punitive true-up penalties and overage charges often turn ordinary demand spikes into budget overruns. Restrictive usage rights, proprietary integrations and auto-renewal clauses with unfavorable escalations ensure that organizations are stuck for years. Each of these factors is a value destroyer hiding in plain sight, and collectively they explain why contract structure deserves to be treated as a board-level concern rather than a procurement formality.

Long -term implications of pricing models

The most common enterprise software pricing models are subscription-based, consumption/usage pricing, perpetual licensing and hybrids (i.e., any mix of the first three).

Subscription-based pricing charges a recurring fee -- usually per user, billed monthly or annually -- for ongoing access, updates and support. Consumption or usage-based pricing charges for what you actually use, such as the number of API calls, compute hours, transactions and data processed. Costs scale with activity, rewarding efficiency but trading budget certainty for flexibility, especially in autoscaling environments where spend can run past expectations. Perpetual licensing is the traditional alternative: You pay once to own a specific version indefinitely. There might also be an annual maintenance fee for updates and support, though it has steadily fallen out of favor as vendors push toward subscriptions. In traditional perpetual-license deals, annual maintenance has often run around 18% to 22% of the license cost.

Perpetual licensing can reduce recurring fees, but it often pushes cost into maintenance, upgrades and internal complexity.

"The pricing model matters because it shifts risk," said Nicolas More, founder of Reddinbox, an AI-powered audience intelligence platform.

"Subscription pricing is easier to start with, but renewal leverage matters. Consumption pricing looks flexible until usage becomes hard to predict. Perpetual licensing can reduce recurring fees, but it often pushes cost into maintenance, upgrades and internal complexity," More explained.

In practice, many enterprise agreements now blend these models, which is why understanding how each behaves is the foundation for negotiating terms that match how the business actually consumes the software.

Best practices for structuring value-driven contracts

Experience in viewing and analyzing software contracts from multiple vendors can go a long way in teaching you the good, bad and ugly that organizations can expect to find. But there are a few good pointers available to help enterprise software leaders find their way.

"Build the commercial model around the business outcome you want, not the feature list," said Webber. In practice, Webber suggests doing the following:

• Model the cost over three to five years, not just year one.
• Negotiate renewal protection at the start, while you still have leverage.
• Leave room to flex license volumes and usage commitments.
• Get data portability written in, not promised verbally.
• Set up incentives so both sides benefit when adoption goes well.
• Agree how you'll govern and price changes before you need to.
• Read the termination and exit terms before you sign, not after.

"Assume technology, priorities and market conditions will all shift during the life of the deal, and structure for it," Webber added.

The consensus is to remain focused on outcomes over features. A more concise set of guidelines might be of more help in keeping organizations on track.

"The best contracts match how the product creates value in real life. If usage can swing, negotiate guardrails. If implementation risk is high, break acceptance and payment into milestones," said More.

Pam Baker is a freelance journalist and the author of books including ChatGPT For Dummies and Generative AI For Dummies. Baker is also an instructor on AI topics for LinkedIn Learning and a member of the National Press Club, the Society of Professional Journalists and the Internet Press Guild.