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5. How to Choose Close Automation Software

Close automation software falls into three categories: ERP modules built into existing systems, point solutions focused on specific workflows, and AI-native platforms offering comprehensive automation. The right choice depends on entity complexity, consolidation requirements, and whether teams need organization or true automation of manual work.

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Not every tool fits every finance team. The right close automation platform works seamlessly with your existing ERP, scales as your organization grows, and delivers measurable ROI without requiring complete system overhauls.

Controllers and finance leaders now face a crowded marketplace with overlapping claims and confusing feature lists. Understanding what categories of tools actually exist and evaluating based on operational needs rather than vendor marketing makes the difference between successful implementation and shelf software.

The Software Landscape Has Changed

Traditional approaches to closing the books relied heavily on ERP modules designed primarily for transaction processing, supplemented by extensive spreadsheet manipulation. That model no longer works for most mid-market and growing organizations. Leadership demands faster reporting cycles. Multi-entity structures introduce consolidation complexity. Remote teams need collaborative workflows rather than email-based coordination.

A new generation of automation-first, AI-enabled finance tools has emerged specifically to address these challenges. These platforms automate the specific workflows finance teams perform each month while integrating with existing ERPs rather than replacing them. For multi-entity, fast-growth organizations, close automation has shifted from nice-to-have to operational necessity.

Types of Close Software: What You're Actually Comparing

The close automation market contains three distinct categories of solutions, each with different strengths, limitations, and ideal use cases.

ERP Modules

Many ERP systems offer built-in close management functionality. NetSuite Close Management, SAP's closing cockpit, and similar tools provide task tracking and basic reporting within the ERP environment.

  • Strengths: These modules integrate directly with transaction data and present a familiar interface for teams already using the ERP. Many come included in software subscriptions without additional software costs, making them an attractive starting point for organizations looking to improve close coordination without new vendor relationships.
  • Limitations: ERP modules typically offer limited AI-powered automation capabilities and often require significant customization for complex multi-entity structures. Reconciliation work remains largely manual, and implementation complexity mirrors the underlying system. Organizations seeking true automation rather than better organization often outgrow these tools quickly.
  • Best for: Single-entity organizations with straightforward close processes and strong technical ERP expertise internally.

Point Solutions

Dedicated close management tools like FloQast and BlackLine focus specifically on close workflows. These solutions integrate with various ERPs to automate specific processes.

  • Strengths: Point solutions are purpose-built for close workflows and offer better user experiences designed specifically for accountants. They have proven implementations across many organizations and strong communities of practice that share best approaches.
  • Limitations: Organizations often require multiple products for comprehensive coverage, as these tools tend to excel at specific workflows while leaving gaps in others. Integration complexity increases with each point solution added to the stack, and teams may find themselves managing data across multiple platforms rather than working from a single source of truth.
  • Best for: Organizations focused primarily on reconciliation automation with relatively straightforward consolidation needs.

AI-Native Platforms

Newer platforms like Nominal take an integrated approach, combining reconciliation, consolidation, and reporting automation in AI-powered systems built specifically for modern finance operations.

  • Strengths: AI-native platforms offer comprehensive automation across the entire close workflow, with advanced AI capabilities for matching and variance analysis. They include built-in multi-entity consolidation and real-time reporting functionality, with faster implementation timelines than legacy systems. The modern architecture is designed specifically for today's finance operations rather than adapted from transaction processing systems.
  • Limitations: Organizations heavily invested in existing point solution ecosystems may face integration considerations when consolidating to a single platform.
  • Best for: Multi-entity organizations with complex consolidation requirements, fast-growth companies needing scalable solutions, and teams seeking comprehensive automation rather than assembling multiple point solutions.
comparison table between close software tools

Helpful resource:

How to Choose: Evaluation Criteria That Matter

Selecting close automation software requires evaluating capabilities that directly impact your team's daily work and long-term success. Eight key criteria separate platforms that deliver genuine value from those that create new problems while solving old ones.

1. ERP Compatibility

The platform must work seamlessly with your current accounting systems. Evaluate whether the solution requires ERP migration, operates as an overlay connecting through APIs, or functions as a replacement system. Overlay solutions preserve existing investments while adding automation capabilities.

2. Multi-Entity Support

For organizations operating across multiple entities, currencies, or jurisdictions, consolidation capabilities become critical. Assess how the platform handles currency translation, intercompany eliminations, ownership structures, and segment reporting.

3. Reconciliation Automation

Distinguish between tools that organize reconciliation workflows and platforms that actually automate matching logic. True automation handles routine matching using AI, reducing manual effort by 60-80%.

4. Audit Readiness

Comprehensive audit trails, versioning, and documentation should generate automatically as work progresses. Systems that treat audit readiness as core functionality create dramatically different experiences during external audits.

5. Reporting Flexibility

Modern platforms provide real-time dashboards, drill-down capabilities, and customizable views. Assess whether leadership can access current information throughout the month or must wait for formal report packages.

6. Time to Value

Implementation timelines vary dramatically. Enterprise implementations measured in quarters delay benefits. Modern platforms designed for rapid deployment can deliver value within weeks.

7. AI Capabilities

Differentiate between genuine AI automation and feature marketing. Useful artificial intelligence automates pattern recognition for matching transactions, identifies anomalies, and generates draft variance commentary. Request specific examples of how AI reduces manual work.

8. User Experience

Software designed for finance professionals versus engineers creates fundamentally different adoption experiences. Evaluate whether controllers and accountants can configure workflows without IT involvement.

Questions to Ask During Your Buying Process

Arm yourself with questions that reveal how platforms actually perform in operational reality rather than controlled demonstrations.

Does this tool automate or just organize my close? 

Many solutions track tasks without actually reducing manual work. Push vendors for specific examples of automation and quantification of time savings.

Can it adapt to our close checklist or force us to fit its structure? 

Some platforms require complete process redesign. Understand flexibility boundaries before committing to implementation projects.

What is the real setup cost in time, people, and integrations? 

Account for implementation services, internal team time, ongoing maintenance, and integration development. Hidden costs often exceed subscription fees.

How does it handle multi-currency and intercompany workflows? 

Request demonstrations using scenarios matching your organizational structure. Verify that currency translation and consolidation workflows align with accounting requirements.

Will my team actually use this? 

Involve team members who will use the system daily in evaluation. Their feedback on usability predicts adoption better than feature comparisons.

How does customer support work during close cycles? 

Month-end represents the worst time for software issues. Understand support availability and response times during critical periods.

What does the upgrade roadmap look like? 

Evaluate vendor investment in product development and alignment between roadmap and your strategic direction.

How Nominal Fits into the Landscape

Nominal operates as an AI-native platform purpose-built for mid-market and multi-entity finance teams. The platform functions as an ERP overlay, connecting with existing accounting systems without requiring migration.

Core capabilities span reconciliations, multi-entity consolidation, and audit preparation. Intercompany eliminations, currency translations, and ownership structures handle automatically. AI-powered matching reduces manual reconciliation work while maintaining human oversight for exceptions.

Finance teams configure workflows and customize reports without IT involvement. Implementation typically completes in weeks rather than quarters. The platform scales automatically as organizations add entities or complexity without proportional increases in manual workload.

Organizations choosing Nominal typically operate multiple entities across currencies and jurisdictions. They need consolidation automation that current ERPs don't provide. They want AI capabilities that deliver practical benefits rather than buzzwords. They value time to value measured in weeks.

Making Your Decision

Start by documenting what actually breaks in your current close process. Where do errors occur? What takes longest? What creates audit findings? These specific problems should drive requirements rather than generic feature lists.

Involve the people who will use the system daily throughout evaluation. Their buy-in determines adoption success. Request references from organizations with similar entity structures and ERP environments. Test the platform with your actual data during evaluation.

The right close automation software delivers measurable improvements in cycle time, error rates, and team capacity within the first quarters after implementation. Organizations that choose based on clear requirements and thorough evaluation achieve these results consistently.

Download our free Close Automation Scorecard to compare ERP modules, point solutions, and AI-native platforms side by side.

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Ready to see how Nominal fits your specific needs? Book a demo to explore how these capabilities apply to your organization's unique close challenges.

Next: Learn practical implementation strategies and change management approaches in Chapter 6: Implementation Tips That Actually Work.

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