Growth through acquisition is a common business strategy. But it comes with a hidden tax, operational complexity that compounds with every new entity added to the portfolio.
For one of our clients, a global leader in pest control solutions, that complexity had a very specific face: 80+ acquired companies, each with their own month-end accounting close. Every month, their accountants would log into each branch individually, pull down reports, and manually build journal entries. The pace? Four to eight hours per branch. Multiply across dozens of entities and you start to understand why their team felt like they were constantly playing catch-up.
The problem wasn’t a lack of skill or effort. It was that skilled people were spending most of their time doing work that didn’t require skill at all.
The real cost of manual processes
When finance teams are buried in repetitive data tasks, the business pays twice. First, the direct cost of labor hours spent on low-value work. Second, in the opportunity cost — the analysis, oversight, and strategic thinking that never happens because there’s no time for it.
This client’s accountants were capable of far more than their day-to-day work reflected. The bottleneck wasn’t people. It was a process.
Fixing it didn’t require a massive technology overhaul or a year-long implementation. It required a targeted intervention with the right tools and a clear understanding of where the friction was.
Building the solution
Eliassen Group started with what the client already had: a SaaS reporting tool capable of scheduling and delivering financial reports. From there, Eliassen built a Google Apps Script, developed collaboratively with Claude.ai, that automated the steps between report delivery and journal entry creation.
Here’s how the new process works. Reports from the client’s system are sent to a shared email address. The automation script picks them up, pulls the attachments, and routes them into the correct Google Drive folders by branch — creating new folders as needed. It then analyzes the data and generates month-end close journal entries for revenue, sales tax, and adjustments, saving each to the appropriate branch folder. Any codes not found in the mapping file get flagged in a separate journal for the accounting team to review.
The entire workflow, from report receipt to completed journal entries, now runs automatically. What used to take a full workday per branch happens in the background, without manual intervention.
What changed
The automation script runs over 2,000 lines of code and was built in a fraction of the time it would have taken to hire and onboard an external development team. That speed mattered. The client needed relief quickly, not a solution that would take quarters to deploy.
The impact was immediate and measurable. Accountants now save three to seven hours per branch per month. Across 80+ entities, that totals roughly 6,000 hours annually — the equivalent of three full-time employees redirected away from data entry.
But the more important shift is qualitative. These accountants are no longer manual preparers. They are reviewers. They spend their time on oversight and analysis — the work that benefits from their training and judgment. They catch exceptions. They ask better questions. They surface insights that were previously buried under the workload of just keeping up.
What this illustrates about AI-assisted development
There’s a lot of noise right now about what AI can and can’t do in enterprise finance. This engagement offers a grounded answer. Claude.ai didn’t replace the consultant or the accountant. It accelerated the development cycle and expanded what was possible within the project’s timeline and scope.
The consultant brought the domain knowledge, an understanding of how accounting close processes work, where the data flows, and what the edge cases look like. Claude.ai contributed to the technical execution, helping produce robust, well-structured automation faster than would have been feasible otherwise. The result was better than either could have produced alone and delivered more quickly than a traditional development approach.
That’s the practical reality of AI in professional services today. Not a replacement for expertise, but a force multiplier for it.
The question worth asking
If your finance team is still logging into systems one by one, downloading reports manually, and building journal entries by hand, we urge you to consider what this is costing you. Not just in hours, but in the strategic capacity you’re not getting from people who are capable of so much more.
The technology to change that exists. In many cases, it works with the systems you already have.
Eliassen Group helps organizations find these opportunities, solution a result and delivers scalable, high-quality outcomes. This is one example of what that looks like in practice.
Author
Mike Dietrich
Manager, Business Transformation Solutions