How to talk to your board about tech debt

When your CEO or CFO asks about the budget needed for technical debt remediation, do you find yourself struggling to justify the investment? You’re not alone. While CIOs understand the crushing weight of technical debt — now costing US companies $2.41 trillion annually — translating this into compelling business language for the board remains a persistent challenge.

The more strategic concern isn’t just the cost— it’s that technical debt is affecting companies’ abilities to create new business, and saps the means to respond to shifting market conditions. So this is the conversation starter that will get the boardroom’s attention.

Speak the board’s language

Instead of opening the conversation about “code quality,” start talking about business outcomes. Rather than discuss “legacy systems,” talk about “revenue bottlenecks,” and replace “technical debt” with “innovation capacity.” When you reframe the conversation this way, technical debt becomes a strategic business issue that directly impacts the value metrics the board cares about most.

In our recent report examining technical debt in the age of generative AI, we explored how companies need to break their technical debt down into four categories. If companies deal with their debt at the principal or source level, they can prevent it accruing costs in the other categories, which are interest, liabilities, and opportunity costs. Breaking it down into these categories also shows the impact on the business in a way that every board member will understand. For example:

1. Direct costs (principal): “We’re spending 30% more on maintaining outdated systems than our competitors.”
2. Operational drag (interest): “Our teams spend 25% of their time on workarounds rather than innovation.”
3. Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.”
4. Market position (opportunity cost): “We’re six to eight months slower to market with new features than our competitors.”

Make the case on AI urgency

Nothing motivates a board quite like competitive pressure. Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt.

Suboptimal integration strategies are partly to blame, and on top of this, companies often don’t have security architecture that can handle both people and AI agents working on IT systems. Or, in some cases, companies have platforms that were built with human interactions in mind and aren’t ideal today for many gen AI implementations.

If they’re going to benefit from AI strategies, companies must address this foundation before they can effectively scale their gen AI initiatives. This creates a compelling “act now” narrative that boards understand.

Foreground the value

Increased AI investments will almost certainly mean increased IT costs. So it’s essential to show the ROI to your business from the management of these costs.

Focus on delivering immediate change in a self-funding way. Double down on automation through AI. Take out costs and use those funds to compress your transformation. This flywheel effect will help build board support for your wider plans.

Also, beware the proof-of-concept trap. Don’t get bogged down in testing multiple solutions that never see the light of day. Instead of focusing on single use cases, think holistically about how your organization can use AI to drive topline growth and reduce costs. What part of the enterprise architecture do you need to support this, and what part of your IT is creating tech debt and limiting your action on these ambitions?

Present a balanced solution

Here’s where many CIOs stumble: presenting technical debt as a problem that needs to be eliminated. Instead, show how leading companies manage it strategically. Our research reveals that top performers allocate around 15% of their IT budget to debt remediation. This balances debt reduction and prioritizes future strategic innovations, which means committing to continuous updates, upgrades, and management of end-user software, hardware, and associated services. And it translates into an organization that’s stable and innovative.

We also found throwing too much money at tech debt can be counterproductive. Our analysis found a distinct relationship between a company’s digital core maturity and technical debt remediation. Using more of the IT budget to pay down tech debt only improves digital core maturity to a certain point. Beyond this peak, it indicates that a company is over-indexing investments in technical debt and not building its digital core capability effectively and efficiently.

Close with clear choices

Present the board with three clear options and their implications:

1. Maintain course: Continue accumulating technical debt, limiting AI adoption, and falling behind competitors.
2. Strategic investment: Assess the current state of your tech debt using the recommended actions in our report, with the goal to enable AI scaling and competitive advantage.
3. Aggressive and compressed transformation: Higher short-term investment for faster transformation, with clear ROI milestones.

Remember, your board doesn’t need to understand every technical detail. It needs to understand the business impact, competitive implications, and the clear path forward. By framing technical debt in these terms, you’re more likely to get the support and resources needed to address this critical challenge.

Most importantly, position technical debt management not as a cost center, but as an investment in business agility and competitive advantage. In an age where technology shapes a company’s strategy, this is a message boards can’t afford to ignore.