Isometric illustration of AI infrastructure for CPA firm technology decisions

By Yiddy Lemmer, CEO – CompuConnect, Inc.

Artificial intelligence is becoming part of daily operations for CPA and accounting firms, but the most important question is not simply which AI tool to use. The better question is whether the firm should build, buy, or build around an AI capability, and whether that decision can be supported securely over time.

CPA.com's new Build vs. Buy: The Decision Framework for AI in Accounting Firms gives firm leaders a practical way to evaluate AI investments before committing to a platform, prototype, or internal build. The framework focuses on strategic fit, differentiation, ownership, vendor risk, security maturity, and the hidden costs that often appear when an AI idea becomes part of daily operations.

For CPA firms, AI decisions are not just technology decisions. They affect:

  • Client confidentiality
  • Staff productivity
  • Workflow design
  • Cybersecurity
  • Compliance exposure
  • Vendor risk
  • Long-term business strategy

That is why AI adoption should be supported by clear governance, strong cybersecurity, reliable infrastructure, and responsive human IT support.

Why AI Build vs. Buy Decisions Matter for CPA Firms

CPA firms handle sensitive financial, tax, payroll, audit, and business advisory information. That makes AI adoption different from adding a simple productivity app.

An AI tool may help with:

  • Tax research
  • Document summaries
  • Client communication drafts
  • Internal knowledge searches
  • Workflow automation
  • Advisory support
  • Administrative efficiency

But every use case raises important questions:

  • Does client data leave the firm's environment?
  • Can the vendor use firm data to train AI models?
  • Who owns the output?
  • How is access controlled?
  • Who reviews AI-generated work?
  • Who maintains the system after launch?
  • Can the firm support the tool during busy season?

CPA.com's framework encourages firms to evaluate whether an AI capability is a one-off utility, a core competency, or a commodity system. That distinction matters because not every AI idea deserves custom development, and not every vendor platform deserves immediate adoption.

The goal is not to move as fast as possible. The goal is to move intentionally.

The Three Paths: Build, Buy, or Build Around

CPA firms generally have three options when evaluating AI: build, buy, or build around. Each path can be valuable, but each comes with different responsibilities.

When It Makes Sense to Buy

Buying often makes sense when the need is common across the profession and a mature solution already exists.

Examples may include:

  • AI-assisted tax research
  • Document management features
  • Meeting summaries
  • Workflow automation
  • AI features built into trusted accounting platforms

Buying can reduce implementation time, but it does not remove risk.

Before purchasing an AI solution, CPA firms should review:

  • Vendor security practices
  • Data privacy terms
  • Contract protections
  • Access control options
  • Integration with existing systems
  • Support responsiveness
  • Data retention policies
  • Whether client data may be used to train models

A purchased tool can still create risk if it is not reviewed carefully, configured properly, and supported consistently.

When It Makes Sense to Build

Building may make sense when the capability is highly specific to the firm's process, client experience, industry niche, or advisory model.

A firm may consider building when it has:

  • A proprietary workflow
  • A unique advisory methodology
  • A specialized client service model
  • A firm-specific knowledge base
  • A process that creates meaningful differentiation

But building also creates long-term responsibility. A custom AI system requires:

  • Security review
  • Documentation
  • Testing
  • Access management
  • Maintenance
  • Employee training
  • Monitoring
  • Clear ownership

A promising prototype is not the same as a production-ready business system. Once a tool touches client data, staff workflows, or service delivery, it needs structure, support, and accountability.

When It Makes Sense to Build Around

Building around means using existing platforms while creating firm-specific processes, policies, integrations, templates, or workflows around them.

For many CPA firms, this may be the most practical path. It allows the firm to benefit from established technology while shaping the solution around:

  • Staff responsibilities
  • Client expectations
  • Cybersecurity requirements
  • Internal approval processes
  • Compliance needs
  • Long-term growth plans

This is where strategic IT planning becomes especially important. The goal is not to collect more tools. The goal is to create a secure, stable, and productive technology environment that supports how the firm actually works.

The Hidden Risk of Uncontrolled AI Use

One of the biggest AI risks for CPA firms is not always the official platform leadership selects. It is the unofficial tools employees may start using without review.

This is often called shadow IT.

In an AI context, shadow IT can include:

  • Uploading client information into public AI tools
  • Using unapproved browser extensions
  • Testing unvetted AI apps
  • Creating informal workflows without security review
  • Using AI-generated client content without proper review

For CPA firms, the concern is not only whether AI is useful. The concern is whether AI is being used in a way that protects client confidentiality and preserves trust.

To reduce shadow IT risk, firms should create clear guidance around:

  • Which AI tools are approved
  • Which tools are prohibited
  • What types of data may be used
  • What types of data may never be uploaded
  • When partner or manager review is required
  • How employees should request new tools
  • How AI output should be checked before use

Clear policy helps employees use technology responsibly without slowing down innovation.

AI Strategy Should Include Cybersecurity From the Start

AI decisions should not be separated from cybersecurity planning. Before adopting an AI platform, CPA firms should understand how it affects data, access, vendors, review processes, and business continuity.

Key areas to review include:

Data Protection

Firms need to understand:

  • What data the tool can access
  • Where that data is stored
  • Whether the data is encrypted
  • Whether the vendor can use data for model training
  • How long data is retained
  • How data is deleted

Access Control

Not every employee should have access to every AI-enabled workflow. Permissions should reflect role, department, client responsibility, data sensitivity, and approval authority.

This becomes especially important when AI tools connect to email, document storage, client records, financial systems, or internal knowledge bases.

Vendor Risk

AI vendors should be evaluated beyond the sales presentation. CPA firms should review security maturity, privacy policies, contract terms, support availability, integration requirements, compliance posture, and incident response procedures.

Human Review

AI output should not replace professional judgment. Firms should define where human review is required, especially for tax guidance, financial interpretation, advisory recommendations, client communications, and compliance-related work.

Business Continuity

Firms should also ask what happens if an AI tool fails, changes pricing, removes a feature, or becomes unavailable. AI should strengthen business continuity, not create a dependency the firm cannot manage.

How CompuConnect Helps CPA Firms Make Smarter AI Decisions

CompuConnect helps CPA and accounting firms approach AI as part of a broader business technology strategy.

Our role is not simply to install software or respond when something breaks. We help firms make technology decisions that support security, stability, productivity, compliance, and long-term growth.

AI Readiness Planning

Before adopting AI, firms need to understand whether their current environment is ready.

CompuConnect can help assess:

  • Network stability
  • Cloud environment
  • Identity and access controls
  • Cybersecurity posture
  • Backup and recovery systems
  • Existing software stack
  • Workflow gaps
  • Data protection needs

Vendor and Platform Review

CPA firms may be approached by many AI vendors, each promising efficiency and innovation. CompuConnect helps evaluate tools through a practical business and security lens, including:

  • Data privacy
  • Security controls
  • Vendor maturity
  • Integration fit
  • Support model
  • User management
  • Operational impact
  • Long-term maintainability

The right question is not only, "Does this tool work?" It is, "Does this tool fit our firm securely and sustainably?"

Governance and Policy Support

AI adoption works best when employees have clear guidance. CompuConnect can help firms develop practical policies around approved tools, restricted data, acceptable use, review requirements, access permissions, employee training, and vendor approval processes.

Cybersecurity and Managed IT Support

AI tools often connect to sensitive systems and data. CompuConnect helps CPA firms strengthen endpoint security, email security, multi-factor authentication, identity management, backup and recovery, cloud security, data protection, and security awareness training.

We also provide 100% live human support, so your team can reach real people who understand your business and respond with care. That matters for CPA firms because technology issues affect deadlines, staff productivity, client service, and firm confidence.

AI Should Strengthen the Firm, Not Create New Risk

AI can help CPA firms improve efficiency, support advisory services, and reduce repetitive work. But without the right planning, it can also create confusion, security gaps, vendor dependency, and operational risk.

Before moving forward, CPA firms should ask:

  • Should we build this?
  • Should we buy it?
  • Should we build around an existing platform?
  • Can we secure it?
  • Can we support it?
  • Can we govern it?
  • Does it protect client trust?
  • Does it strengthen how we serve clients?

CPA.com's framework is a useful reminder that AI strategy is business strategy. Every technology decision should support client trust, firm stability, staff productivity, and long-term service quality.

Schedule a Discovery Call Before Your Firm Adopts AI

AI can create real efficiency for CPA and accounting firms, but only when it is adopted with the right security, governance, support, and long-term IT strategy in place.

Before your firm builds, buys, or builds around an AI solution, CompuConnect can help you evaluate your current technology environment, identify risk areas, review vendor considerations, and create a practical path forward.

With proactive managed IT services, cybersecurity guidance, strategic planning, and 100% live human support, your firm gets more than technical support. You get a responsive IT partner that understands how important stability, confidentiality, productivity, and client trust are to your business.

Schedule a discovery call with us to discuss your firm's AI readiness, cybersecurity posture, and technology strategy.

About the Author
Yiddy LemmerYiddy Lemmer is the Founder and CEO of CompuConnect IT, a leading IT support and cybersecurity firm serving small and midsize businesses across New York and New Jersey. With over 18 years of hands-on experience, multiple Microsoft and CompTIA certifications, and deep roots in Brooklyn, Yiddy leads with a passion for technology, service excellence, and helping businesses thrive through secure and efficient IT systems.