The process of merging one accounting practice into another, larger firm will always raise questions, not the least of which is how, and to what degree, they will integrate their technology. This, in turn, raises a host of other questions for both acquirer and acquiree — and no matter how they decide to answer these questions, though, working through them is always a process.
Firms with significant experience in M&A will point to a range of issues that need to be addressed during integration, but the most common are these:
Data management;
Cybersecurity;
IT culture; and,
Timing and cost.
Data conversions a challenge
One of the biggest challenges is data management, something that often comes up in the acquisition process. Scott MacChesney, vice president of integration for Top 25 Firm Citrin Cooperman, said it’s important to extract client data to ensure a smooth transition.
“The firms we bring in tend to have inconsistent client data systems or no [client relations manager] at all, or the way they manage client data is partially manual and partially through email,” he said, adding that this is so important because “that is one of the key things to make sure we can still service clients well on Day 1 and employees can still understand and see reports on their clients on Day 1,” he said.
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Beyond just extracting the data itself is converting it to the firm’s standards, which V. Allen Smith — chief information officer for Top 10 Firm Baker Tilly— said goes past just file formats and into basic definitions, which he said are not as simple as they seem.
“How do you define a client? How do you define a project? How do you define an engagement? … If you’re serving a multinational [for instance], is each legal entity a client, or do you have a parent-child client relationship? What systems generate the unique client ID? Is it your audit system, your assurance system, your tax system, your practice management system? It’s all about coming up with those definitions. Based on that, the 0s and 1s take care of themselves,” he said.
Firms handle this through both automated and manual processes. Mike Giuli, chief information officer at Top 25 Firm Cherry Bekaert, said their firm uses spreadsheet-based templates for determining key pieces of information that they send to the other firm to fill out. While these have been used effectively for years, he noted that there is a certain granularity that can be lost in the process, which is why they are also developing what he called an “ingestion engine” that can take in raw data for processing.
“So now what we’re doing is we’re building [in] our data lake a landing pad so we can bring in the raw data and do the transformation on our side versus through spreadsheets. … Over the last year we’ve identified the need for this and so we’re trying to create an easier automated and repeatable way that will maximize the time and productivity [improvements] for the firm,” he said.
John Roman, chief information officer of Top 50 Firm The Bonadio Group, said his firm employs a combination of both manual and automated processes to input and process the necessary data. He noted that it’s important that everyone be on the same systems, whether that’s practice management systems, tax prep systems, or even email systems. “Massaging” all this data to fit with their own platforms tends to be a time-consuming task.
“We use a combination of internal resources as well as our software providers that we use to help us. A good majority of the times we are using specific software scripts that take the data and format it in a way that can get into our systems. That is the automated part. The manual part, though, is someone still needs to validate the data [to check if it was] converted correctly,” he said.
Roman noted, though, that much of this process begins with a questionnaire that helps them understand what data even needs to be migrated in the first place. And sometimes firms tell them they only need the old data for historical purposes and that they’ll enter data into Bonadio’s systems from that day on.
Cybersecurity and governance
Cybersecurity is another major part of the mergers and acquisitions process. Different firms can have different levels of risk tolerance, which informs their individual policies and programs. But while the particulars may vary, acquiring firms generally expect the merged-in firm to adhere to their own cybersecurity standards and procedures.
“On Day 1, everyone adheres to our information security policies and procedures. We have certain standards in place that protect both client and employee data and before we bring data in from our merged-in firms, we make sure it is fully scanned and malware free. And we have certain technology controls in place that the merged-in firm would need to follow,” said Roman from Bonadio. “It is never, ‘Well, you can keep doing your own thing from an infosec perspective’ — they have to use our procedure and technical controls.”
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MacChesney from Citrin Cooperman said they assess cybersecurity risks for incoming firms the same way they assess it for new clients, noting, “We don’t cut corners, we really implement the playbook.” While he suggested that cybersecurity alignment is more of an ongoing conversation, there is still the general expectation that the incoming firm will adhere to certain expectations and policies.
“The changes are more about communicating to the income firm what the expectations in our environment are, and what the needs of our firm are, to be comfortable with the transaction. That is what it really comes down to, [cutting down on] surprises after we close. We communicate as early and as often as possible,” he said.
Similarly, while Baker Tilly’s Smith said it’s more about having a conversation to see where the firms align on risk tolerance, ultimately there is expected to be an alignment within the combined firm, as it does no good to have everyone on different systems.
“We’ll take this combination as an opportunity to address those kinds of areas where you might be misaligned, like how you use multifactor authentication. To the degree where the smaller firm is maturity-wise … These combinations are a great opportunity to get into alignment and — again, it’s not on our firm or their firm but the new firm, the combined firm — once you get that, we’ve all agreed this is what we’ll be doing, now the discussion can be when do we do it? Do we do it on Day 1? Is that something we’ll do on Day 180? I would say some are Day 1 and some don’t have to be,” he said.
This goes beyond just what tools are used, however. Cherry Bekaert’s Giuli said that while many things are negotiable with the new firm, compliance and data management standards are “one of the non-negotiables.” For instance, he said new firms need to adhere to Cherry Bekaert’s own data retention policies. Some firms, he said, don’t have one at all, and might have emails going back 20 years (versus the one year his firm requires).
“So it really becomes a change management exercise and this is one of the things where we put a lens on what people will need to do differently tomorrow versus today. As you look at acquisitions, every one of them is different, so [it’s important] to understand what our rules and our policies are going in and saying, ‘Here is what you need to adhere to’ and understand where we are today and how we help them move to make sure they’re complying with our policies,” he said, adding at a different point that this also includes security policies like ensuring everything is firewalled.
IT cultures
Another technology challenge in the merger process has nothing to do with the technology itself but, rather, the culture behind it. Different firms have different cultures overall, and this includes their IT culture as well. Some firms have one big, centralized team while others have several smaller specialized ones; some firms cloister their IT people from the other professionals while others embed them directly into teams; some are thought of as mainly troubleshooters and support, while others take a more strategic role.
Managing this issue is mainly an exercise in diplomacy, in particular being open and transparent and not demanding everything change immediately. Bonadio Group’s Roman said everyone always has lots of questions when they’re merged in, and that includes the IT team. Taking care to answer these questions and being open about what those answers mean can go a long way in reducing the anxiety and stress that might come with an acquisition.
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“Human nature is people have questions: How will this affect me, how will I support my users, how do I fit into this new group? So we spend a lot of time pre-merger working with them to integrate them with our own IT team. … so they feel part of the team,” he said.
Another common point was how important it is to recognize what makes a particular team unique and to not bulldoze over that in the quest to assimilate their culture. Smith, from Baker Tilly, notes that each firm is “unique and special” and stressed he does not mean this in a feel-good personal sense but in a pragmatic one.
“Every organization we have ever combined with, their IT team did something better than our IT team, regardless of size. So how can we bring that learning into this new combined organization and have that be in the culture?” he said, noting that this makes it difficult to talk about a unitary IT culture, as it changes with every firm they merge in.
While Giuli, from Cherry Bekaert, put a little more emphasis on his firm’s own culture, like Smith he noted that every acquisition brings new skills and competencies into the firm, and IT is no exception. Recognizing that and working it into their own procedures is what helps bring teams together.
“You’ve got to understand the talents firms have and how they all fit together. You also need to know it’s sometimes an evolution — you can’t assume everything will work smooth on Day 1. You try your best, you constantly figure out ways of working in the culture to bring the teams together. You may get talent you didn’t have before, so it may result in the creation of new capacities you didn’t have before, by virtue of the people in play,” he said.
MacChesney from Citrin Cooperman, described a similar approach and emphasized that it’s important to communicate that you’re there to amplify what already makes them special, not squash it beneath your feet. He said there’s a general acceptance of a firm’s “quirks” and his firm tries to maintain that even as they’re merged in. He said they don’t want them to lose whatever ethos or culture made them an attractive buy in the first place.
“It’s my job to make sure that their voices are heard, that those cultural nuances are identified, and that when we do implement change, we explain the why behind stuff, and that we also understand it’s a two-way street with the why. I need to understand why they do something and they need to understand why we might want it to change, and that is how you build that understanding. So we can definitely migrate or bring on a firm and fully integrate it into our firm, and then still have their own unique way of doing things or their own unique kind of subgroup cultures,” he said.
Timing and cost
While declining to share specific total figures, the firms we spoke to generally agreed that aligning with a merged-in firm on a technology level is not free. Beyond the technical and cultural considerations are also serious material expenses.
MacChesney from Citrin Cooperman said, in fact, that is probably the most expensive aspect of the process, as it involves bringing in new devices, which in turn necessitates adding layers of infrastructure and security. He added that, depending on the systems they want to integrate into their main tech stack, there may even be a need for software developers to craft their own custom application programming interfaces, which could take additional time and money. One of the main ways they control these expenses is by handling things through an in-house dedicated team versus hiring consultants or outsourced talent.
“We know what our infrastructure can do and are fully tied into our IT environment as subject matter experts. That, to me, is the biggest driver in cost reduction on the tech side. These people are professionals, they know the questions to ask and the things to look for, and I’m not saying we’re perfect, but they at least know the scary things to look out for on the highway,” he said. When asked for an example of a “scary thing,” he mentioned disaster recovery, saying that many smaller firms do not have “the capital or robust IT environment” to support it, and so the team makes sure to put that in place if it’s missing.
He also noted that tech expenses aren’t “taking our breath away or making us shy away from the transactions we’ve done,” noting that if it the costs were very significant, the firm likely would not have done 20-plus deals over the years.
As far as how long it takes, he said 90-100 days “is probably par for the course.”
Bonadio Group’s Roman said that at his own firm most of the cost is additional licenses. For instance, after merging in a smaller firm, he might suddenly need to budget for 25 additional Microsoft 360 licenses. Beyond that, they might also need to buy more cloud servers or laptops.
As far as timeframe goes, he said six to eight months is typical for a larger firm, with the vast majority of the work coming in the final two months.
“So, for the first six to eight months, let’s plan and work closely with their IT team, and start going over equipment. In the last six to eight weeks, we do a ton of work. We start with data migration, mapping data fields from one system to the next,” he said, adding that for a smaller firm the whole process takes about six to eight weeks total.
Meanwhile, Baker Tilly’s Smith said he doesn’t really view these things as costs so much as investments — pricy investments, to be sure, but investments made to improve performance and increase cohesion in the now-combined entity.
“For example, in every combination we’ve done over 15 years, we purchase brand-new end user systems for everyone. You’d say, OK, if you do a combination with 1,000 people and computers cost $2,000 that is a big number. But from our perspective, it is about [providing] something new, something tangible, ‘Wow I joined this organization and now I get this new thing!’ That really resonates. But we don’t view it as a cost. We view it as if we had 2,000 people or 100 people or 20 people join the organization off the street, what would they get? They’d get a new computer. So it’s a difference in perspective,” he said. “We don’t view it as part of the transaction. That’s just the normal environment.”
He raised a point that others raised too: In the end, while best practices involve the technology, they’re not so much about the technology itself but all the other things around it.
“Best practices have very little to do with the actual technology; they more have to do with the approach, with the level of engagement, how you communicate, with the focus on how the other individuals you talk to are feeling. Because on the one hand maybe you can say not a lot will change, but on the other hand it’s easy for you to say that because you’re not going through the change. It’s being respectful and understanding,” he said.
The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.
The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.
Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.
Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.
Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.
Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.
Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.
Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.
Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.
In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.
Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.
Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.
Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.
Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.
Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.
The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.
In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.
AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.
When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.
Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.
This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.
Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.