How to Evaluate Accounting Software: A CFO's Framework

Most accounting software evaluations go wrong before the first demo. The typical pattern: a CFO or Controller is feeling pain with the current system, sends RFPs to three or four vendors, sits through demos back-to-back in a two-week window, and makes a decision based on which demo looked most polished and which salesperson was easiest to work with.

This produces sub-optimal outcomes because the demos are optimized for demos, not for your specific pain. Every vendor looks impressive running their happy path. The question is whether they solve your specific problem at your specific scale.

This is a framework for running a better evaluation.

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Step 1: Map Your Current Close Process

Before you talk to a vendor, document where your time actually goes. This sounds obvious and is almost never done.

Pull your last three month-end closes. For each one, answer:

• How many business days did the close take?
• What were the five tasks that took the most time?
• Where did you wait on others (data from other teams, approvals, reconciliations)?
• What had to be redone because of errors?
• What did your auditors ask for that took time to compile?

You are looking for the real bottlenecks, not the ones that feel like bottlenecks. Finance teams often assume that journal entry preparation is the problem when the actual bottleneck is waiting for expense reports from department heads. A system that automates journal entry preparation is valuable but does not solve the actual problem.

Common findings when teams do this analysis:

• 30–40% of close time is spent waiting on non-finance inputs (expense reports, operational data, headcount confirmations).
• 20–30% is reconciliation work that could be largely automated.
• 15–25% is documentation and workpaper preparation that could be generated automatically.
• 10–20% is actual accounting judgment: estimates, accrual decisions, complex entries.

The first two categories are the targets for automation. The last category stays human-led regardless of what software you buy.

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Step 2: Identify Your Top Three Pain Points

From your close analysis, identify the top three things that cause the most pain. Be specific.

Vague pain points that lead to bad decisions:

• "We take too long to close."
• "Our systems don't talk to each other."
• "We have too much manual work."

Specific pain points that lead to good decisions:

• "Bank reconciliation takes two staff members three days each month because we have 12 bank accounts and 4,000+ transactions per month."
• "Revenue recognition for our 300+ SaaS contracts is maintained in a spreadsheet that one person owns and that takes five days to update each month."
• "We have seven subsidiaries and the consolidation with intercompany eliminations takes four days every quarter."

The specificity matters because different products are genuinely differentiated on different problems. A system that excels at multi-entity consolidation may be weak on document extraction. A system that leads on revenue recognition automation may have limited bank reconciliation capabilities. Knowing your top three pain points tells you what to actually evaluate.

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Step 3: Define Must-Haves vs. Nice-to-Haves

Before vendor conversations begin, write down your requirements in two lists.

Must-haves are non-negotiable. If a system does not do these things well, it is disqualified. Keep this list short — five to eight items maximum. Everything on this list should trace directly to a pain point or a hard constraint.

Examples of actual must-haves for different company profiles:

• "Must support multi-entity consolidation with automated intercompany elimination" (7+ subsidiary company).
• "Must have ASC 606 revenue recognition with SSP allocation and contract modification handling" (SaaS company with $30M+ ARR).
• "Must integrate with our existing payroll system without custom development" (company with non-standard payroll provider).
• "Must support IFRS and USD/EUR multi-currency reporting" (company with European operations).

Nice-to-haves are features you would like but would not disqualify a system for lacking. Budget time to evaluate them only after must-haves are confirmed.

The discipline here is not allowing nice-to-haves to masquerade as must-haves. "A nice dashboard" is not a must-have. "Built-in expense management" is probably not a must-have if you have a working expense system today.

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Step 4: Evaluate Against Your Pain Points, Not Feature Lists

When you get to vendor conversations, resist the natural pull toward feature list comparisons. Vendors will send you feature comparison matrices. Ignore them.

Run your evaluation against your specific pain points. For each one, ask each vendor:

"Show me exactly how your system handles [specific pain point]. Walk me through a realistic example."

If your pain point is bank reconciliation volume, ask them to demo reconciliation on a dataset similar to yours (high volume, multiple accounts, some messy matches). If your pain is rev rec spreadsheet management, ask them to show you contract setup, modification handling, and month-end posting from start to finish.

Red flags in demos:

• The vendor shows a feature but cannot show the end-to-end workflow that includes that feature.
• The demo environment has clean, simple data that does not resemble your actual data.
• The vendor deflects questions about edge cases ("that's a great question, our implementation team would configure that for you").
• Promises are made verbally that are not in the product today ("that's on our roadmap for Q3").

Green flags:

• The vendor lets you run or observe a demo with your messy data, or at least data that resembles yours.
• They acknowledge what their system does not do well and are specific about it.
• Their reference customers look like your company (size, complexity, industry).

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Step 5: Calculate Total Cost of Ownership

The biggest evaluation mistake in accounting software is comparing license costs. License cost is typically 40–60% of the real cost in year one and 60–70% in subsequent years.

Components of total cost of ownership:

License: Annual subscription or per-seat costs. Get the full-term number, including planned user growth.

Implementation: Professional services for setup, configuration, data migration, and integration. For any mid-market system, this ranges from $30,000 for a simple implementation to $300,000+ for complex multi-entity projects. Get a fixed-fee quote or a capped time-and-materials quote in writing.

Internal time: Your finance team's time during implementation is real cost even if it does not appear on an invoice. A Controller spending 50% of her time on an ERP implementation for six months is a significant cost.

Data migration: Legacy data is rarely clean. Budget for data cleanup, transformation, and validation separately from implementation.

Training: Initial training plus ongoing training as staff turns over. Some systems require significant ongoing training investment. Factor this in.

Integration: Connections to payroll, CRM, banking, expense management, and other systems. Third-party integration platforms (Celigo, Boomi) carry their own licensing costs.

Ongoing admin: Systems above a certain complexity require dedicated administration. NetSuite and SAP require one or more FTE or a managed services contract. Simpler or newer platforms require less. Model this out.

Annual increases: Most contracts include 3–5% annual price escalators.

A useful format for comparison:

| Cost Component | Year 1 | Year 2 | Year 3 | |---|---|---|---| | License | | | | | Implementation | | | | | Internal time | | | | | Data migration | | | | | Integration | | | | | Training | | | | | Ongoing admin | | | | | Total | | | |

Do this for each finalist. The year 3 number is often more revealing than year 1 because implementation costs amortize out and the ongoing cost structure becomes visible.

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Step 6: Questions to Ask Every Vendor on a Demo

These questions consistently reveal information that is not in feature presentations.

On accuracy and error handling: "What is your extraction accuracy for invoices from vendors we have not seen before? How does the system route errors for human review?"

On your specific edge case: "We have [specific scenario from your pain points]. Walk me through exactly how your system handles it."

On implementation: "What is the realistic implementation timeline for a company at our size and complexity? What are the most common causes of delay? What is your fixed-fee policy if scope expands?"

On support: "Once we are live, who handles support requests? What is the SLA for issues that block month-end close?"

On references: "Can you give me three references at companies comparable to ours in revenue, entity count, and industry? I want to ask them about total implementation cost and current satisfaction."

On roadmap honesty: "What are the top three limitations your customers ask you to fix? What is your honest timeline for addressing them?"

On data portability: "If we decide to leave, what does our data export look like and how long does it take?"

The last question is particularly useful. Vendors who are confident in their product answer it clearly. Vendors who are not tend to be evasive.

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Evaluation Criteria by Company Size

The right criteria depend heavily on your current scale and complexity.

| Criteria | Small (<$10M) | Mid-Market ($10M–$200M) | Enterprise ($200M+) | |---|---|---|---| | Implementation cost sensitivity | High — keep it under $20K | Medium — budget $50K–$200K | Low — implementation is a rounding error | | Multi-entity consolidation | Rarely needed | Often needed at $50M+ | Required | | Revenue recognition automation | Nice-to-have unless SaaS | Critical for SaaS/subscription | Critical | | Audit trail and SOX controls | Basic | Required for audit readiness | Required for SOX compliance | | Customization and configurability | Low priority | Medium — some customization needed | High — significant config required | | Integration depth | Basic (bank feeds, payroll) | Broad (CRM, WMS, expense, banking) | Deep custom integrations | | Reporting and consolidation | Simple P&L/Balance Sheet | Multi-entity, multi-currency | Group consolidation, segment reporting | | Admin complexity | Low — must be self-serve | Medium — some IT support needed | High — dedicated ERP admin required | | Deployment timeline | Weeks | Months | 12–18+ months | | AI automation value | Moderate | High — especially bank rec, AP, rev rec | Variable — often custom implementations |

For small companies, simplicity and low total cost are the primary criteria. The sophistication of the accounting engine matters less because the volume is manageable manually when necessary.

For mid-market companies, the evaluation becomes more nuanced. The question is usually: which specific pain points are costing you the most, and which system addresses those specifically? This is where the pain-point-driven evaluation above is most important.

For enterprise companies, the evaluation is a formal procurement process with defined RFI/RFP stages, and this framework is a starting point rather than a complete process.

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A Note on AI-Native Platforms

Over the past two years, a new category of accounting software has emerged that is built on AI-native architecture rather than traditional ERP architecture. These platforms approach accounting from the perspective of automating the workflow, with the system executing the close process and presenting results for human review, rather than building a better interface for humans to do the work.

For mid-market companies whose primary pain is close speed, AP volume, and revenue recognition automation, these platforms often deliver more automation value at lower total cost than traditional ERPs. The tradeoff is that they carry less feature breadth than a full ERP like NetSuite or SAP. If you need deep inventory management, project accounting, or manufacturing capabilities, a traditional ERP is likely still the right answer.

If your pain is concentrated in financial close, accounts payable, and revenue recognition, the AI-native category is worth evaluating alongside traditional ERPs. BeanStack is one such platform, and we are direct about the tradeoffs in our own demos.

The evaluation framework above applies regardless of category. Map your pain, define your requirements, calculate real total cost of ownership, and test against your specific scenarios. The right choice follows from that analysis.