Technology Should Drive Profit, Not Just Efficiency: Why CPA Firms Need Strategic CIO Leadership

Technology decisions inside CPA firms are often treated as IT expenses. A new tool saves time, fixes a workflow issue, or helps the team get through busy season with less manual work. But when technology is viewed only through a cost or efficiency lens, firms miss the bigger opportunity: using it to improve capacity, realization, security, scalability, and partner profitability.

To explore why CPA firms need strategic CIO leadership, Ace Cloud Hosting spoke with Barry C. Brown, CPA, CITP, founder of EBITDA Advisors.

Barry spent nearly 30 years inside one of the largest regional CPA firms in the Southeast. During that time, he led technology strategy through major platform changes, cloud adoption, mergers, acquisitions, and the operational complexity of running large CPA firm technology environments.

In this conversation, Barry explains why technology should be treated as a profit driver, where mid-sized CPA firms go wrong without CIO-level guidance, and what leaders must prioritize to build an AI-ready, secure, and scalable technology foundation.

1. Why should CPA firms think of technology as a profit driver, not just an efficiency tool?

Most firms still evaluate technology through a cost lens. They ask whether a tool saves time or reduces manual work. That framing caps the upside. Technology decisions actually shape capacity, realization, and partner profitability when they are tied to firm strategy rather than IT operations.

When a firm automates a workflow, the real question is not just “Did we save hours?” It is “What did we do with that capacity?” “Did staff take on more clients, move into higher-value advisory work, or reduce overtime during the busy season?” Those outcomes hit the P&L directly.

Firms that treat technology as a strategic lever, not a support function, make different decisions. They invest in platforms that scale with growth, not just ones that patch a current pain point. They measure technology spend against partner profitability, not just IT budget variance. That shift in framing is the difference between technology that quietly reduces cost and technology that visibly drives margin.

2. Where do mid-sized CPA firms usually go wrong when making technology decisions without strategic CIO-level guidance?

The most common pattern is tool sprawl driven by individual departments solving individual problems. Tax picks a workflow tool. Audit adopts a different document management approach. A managing partner approves a point solution because a vendor made a compelling pitch.

None of these decisions are wrong in isolation, but without a coordinating strategy, the firm ends up with a patchwork of disconnected systems, duplicated data, and rising support costs.

The second pattern is a governance vacuum. Decisions get made by whoever is in the room, not by a consistent framework. There is no clear owner for technology direction, no roadmap, and no mechanism to say no to a vendor pitch that does not fit the firm’s architecture.

Without CIO-level leadership, firms also tend to underinvest in security and overinvest in flashy features. A managing partner who is not technical will gravitate toward what looks impressive in a demo rather than what reduces risk or scales operationally. That is a leadership gap, not a technology gap, and it is exactly the gap strategic CIO guidance is meant to close.

3. What does an AI-ready tech stack actually look like for an accounting firm today?

An AI-ready stack starts with a clean data foundation, not with AI tools themselves. Firms need consistent client and engagement data, a well-governed document management environment, and identity and access controls that are actually enforced. AI tools amplify whatever foundation they sit on. If the underlying data is messy or access controls are loose, AI adoption multiplies risk instead of capacity.

Practically, this means a modernized Microsoft 365 environment with SharePoint and Entra ID properly configured, tax and audit platforms that are integrated rather than siloed, and clear policies on what data can touch which AI tools. It also means firm leadership has made a deliberate decision about where AI fits, whether that is research and drafting support, workflow automation, or client-facing applications, rather than approving tools ad hoc.

Just as important is governance. An AI-ready firm has defined who can approve new AI tools, what acceptable use looks like for partners and staff, and how the firm monitors outcomes. The technology stack matters, but the governance wrapped around it is what actually makes a firm ready.

4. How can firm leaders evaluate whether their current applications, vendors, and cloud systems are supporting growth or just keeping the lights on?

Start with a simple test: can the firm name what each major system is supposed to accomplish strategically, beyond “we have always used it”? If a platform exists only because switching feels disruptive, that is a signal worth examining.

I recommend a structured application rationalization review. Inventory every significant tool and vendor relationship, map it against current and planned firm initiatives, and assess utilization, cost trend, and renewal terms. Look specifically for redundancy, where two tools solve overlapping problems, and for gaps, where a planned growth initiative has no supporting system.

Leaders should also look at vendor contracts directly. Are renewal terms favorable? Is there real flexibility to exit or scale down? Are service levels actually being measured? A system that quietly auto-renews at increasing cost without anyone reviewing performance is rarely supporting growth. It is just being tolerated.

This kind of review surfaces where the firm is paying for legacy decisions rather than investing in its current direction, and it gives leadership a fact base for reallocating budget toward systems that actually move the firm forward.

5. What should managing partners prioritize first if they want to improve security, scalability, and profitability through better technology leadership?

Start with governance, not tools. Establish who owns technology decisions, how those decisions get made, and what criteria are used to evaluate new investments. Without that structure in place, every other improvement tends to erode over time as new pressures and vendor pitches pull the firm back into reactive decision-making.

From there, prioritize a security baseline. Multi-factor authentication, conditional access, and endpoint management are foundational and relatively fast to implement, and they materially reduce the firm’s risk exposure. This is not optional groundwork. It protects everything built on top of it.

Next, commission an honest assessment of the current technology landscape, including applications, vendors, and infrastructure, measured against where the firm wants to be in three years. This creates the roadmap that scalability and profitability decisions can be built around.

Finally, bring in technology leadership at the executive table, whether that is a fractional CIO or an internal leader with real authority. Firms that treat technology as a standing leadership function, not an IT line item, are the ones that turn these investments into measurable margin improvement.

Technology Leadership Belongs at the Partner Table

Barry’s perspective makes one thing clear. CPA firms cannot afford to make technology decisions in isolation. When each department chooses tools independently, firms end up with disconnected systems, duplicated data, higher support costs, and security gaps that become harder to manage over time.

Strategic CIO leadership helps firms connect technology to business outcomes. It gives managing partners a clear framework for evaluating vendors, reducing tool sprawl, protecting data, and investing in systems that support long-term growth. The goal is not to buy more tools. It is to build a technology roadmap that supports profitability, scale, and better client service.

AI makes this even more important. Firms that want to adopt AI need clean data, strong access controls, clear policies, and governance before they add new tools. Without that foundation, AI can increase operational and security risks instead of improving capacity.

This is where the right cloud foundation can play an important role. Ace Cloud Hosting helps CPA firms securely host critical accounting and tax applications, centralize access, support remote teams, and scale their technology environment as business needs evolve. By reducing infrastructure complexity and strengthening security, firms can focus on building more connected workflows and adopting new technologies with greater confidence.