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Building the Digital Core in the Technology Industry

Article

September 21, 2026

Operating as the Finance Architect, chief financial officers (CFOs) are racing to design a modern finance function capable of realizing the value of artificial intelligence (AI). Some are already there, with automated workflows, integrated systems and AI woven into daily operations. Many others still rely on spreadsheets and disconnected systems to bridge gaps between operations and finance.

The gap between intent and impact is rarely about ambition or budget, but rather a result of technology paralysis and uncertainty about where to start — the foundation. Before AI, dashboards or predictive analytics can move the needle, finance leaders need a working digital core.

The term “digital core” itself gets used loosely. It shows up in vendor pitches, board decks and strategy documents, often as a stand-in for "our technology," and treating it that way is one major reason finance transformation efforts stall.

What Is the Digital Core?

While other organizations have coined their own definitions, a digital core is often used to describe an enterprise-wide technology stack. Cherry Bekaert defines the digital core more specifically as the connected foundation that enables any organization to operate on a single, current and reliable view of itself. It sits at the center of the finance function, and it determines whether reporting, analytics and AI produce trustworthy output.

Two components make up the core: (1) people and process and (2) base technology.

1. People and Process

People and process refer to standardized workflows that are automated where possible, a workforce that understands the systems in front of them, and defined roles that keep the process running consistently. This layer often gets overlooked because leaders do not associate people and process with "digital", but without them, no technology investment holds.

2. Base Technology

Are the right systems talking to one another? This often means an AI-ready enterprise resource planning (ERP) system integrated with outside sources, a customer relationship manager (CRM) connected to core financials, and the underlying platforms that tie billing, revenue recognition, financial management and reporting together.

Together, People and Process Plus Base Technology Form the Digital Core.

When both components are working properly, finance can answer a question once and trust the answer. When either is missing, the same question produces different numbers depending on which system generated the report.

The Digital Core for Technology

What the Digital Core Is Not

The digital core is not reporting and analytics. It is not a flashy dashboard project, a data lake or an AI initiative. Those capabilities are what the core makes possible, not the core itself.

This distinction matters because most middle-market organizations often invest in the visible layer first. They buy a new BI tool or pilot an AI use case, only to discover that the outputs cannot be trusted because the systems feeding them are disconnected and the underlying processes are inconsistent. AI is not a shortcut around a weak digital core. It is a multiplier of whatever sits beneath it.

Why the Digital Core Matters Now

Every industry can benefit from a strong digital core, but its importance is especially evident in the technology industry. Technology companies rely on data flowing seamlessly across finance, sales, product delivery and customer success. As organizations grow — and as business models shift from product sales to subscription and usage-based revenue — these functions often become spread across multiple systems that were not designed to work together. Without an integrated foundation, leaders struggle to gain a clear view of revenue, customer-level margin and cash conversion.

Our technology Middle Market CFO Survey snapshot reinforces the need for a strong digital core, and exposes contradiction. Technology CFOs lead all industries in adoption of modern tools, with 80% on cloud ERP platforms and 65% using AI or machine learning (ML) finance tools, compared to 75% and 47% across all industries respectively. Yet spreadsheet reliance sits at a staggering 96%. Systems have been modernized while workflows remain manual and disconnected, limiting return on investment and slowing the cadence from insight to action.

That gap between tooling and throughput is where the digital core does its work. When technology CFOs named their biggest obstacles, the answers pointed to reporting and data integration. Those are connection problems, not capability problems.

A finance team can own a modern ERP and still spend its days reconciling pipeline against billing, rebuilding the same forecast in a spreadsheet, and assembling evidence by hand when an auditor or customer asks for it. Closing that distance takes standardized workflows, defined data ownership and integrations that hold.

How To Develop the Digital Core

Building the digital core is a sequenced set of foundational decisions that make later investments possible. Some practical steps are to:

Start With Process, Not Software: Standardize the workflows the business already runs before selecting new technology. An ERP layered on top of manual workarounds inherits every one of them.
Define the Source of Truth. For each critical metric such as annual recurring revenue (ARR), gross margin, days sales outstanding (DSO), customer retention and forecast accuracy, name the system that owns it and the rules that govern how it flows to the others.
Integrate the Base Stack: ERP, operational systems, CRM and core financial systems should exchange data through defined connections, not spreadsheets and manual reconciliation.
Cleanse and Govern the Data: Identify the data that matters, establish governance and clean it before it feeds any downstream reporting.
Invest in the People Who Will Operate It: Underinvestment in skills is where modernization most often stalls, even when the technology performs.

What This Looks Like for Tech Companies

Connecting the Revenue Engine

For technology companies, the most impactful starting point is often connecting CRM, billing, revenue recognition and ERP. Technology CFOs reported significant involvement in strategic decisions, operational performance, and technology and data strategy, making access to timely, reliable information critical. When pipeline, contract, usage and financial data reside in disconnected systems, leaders struggle to make confident decisions about pricing, capacity and margins. Implementing improvements in focused 30/60/90-day sprints can demonstrate measurable progress while building momentum for broader modernization initiatives.

Forecasting, Margin and Cash Visibility

A second entry point is improving visibility into the drivers of profitability. Disjointed systems limit forecasting accuracy: rolling forecasts built on probability-weighted pipeline, delivery capacity and backlog burn are more reliable than top-down models driven by static assumptions. By leveraging automation and AI to improve forecasting, billing, accounts receivable and accounts payable processes, organizations can strengthen cash flow, reduce manual effort and gain faster insight into customer behavior and cash conversion.

Compliance and Data Modernization

Compliance challenges stem not just from regulations but from fragmented workflows. Technology companies facing growth, geographic expansion and evolving security requirements must maintain accurate billing, revenue recognition and tax reporting — and spreadsheet-driven workarounds make it difficult to adhere to standards, manage audit trails and maintain defensible evidence.

Standardized processes, trusted data and integrated systems help organizations scale efficiently and reduce the complexity created by disconnected applications. Establishing this foundation before pursuing larger transformation initiatives enables future investments in automation and AI to deliver greater value.

What Comes After the Digital Core

Once the core is in place, the finance function can move into what the base technology was always meant to enable: reporting and analytics powered by data governance, dashboards, advanced analytics and AI.

The AI-ready finance function rests on three pillars: a modern digital core, trusted data and a digitally fluent organization. Trusted data means one source of truth. Too often, teams run different reports out of different systems and get entirely different answers. Closing that gap is what makes AI outputs usable.

A fluent organization means leadership that understands why modernization matters and is willing to invest both time and dollars in it. Not long ago, a modern finance function was described as a competitive advantage. Today, standing still is a competitive disadvantage.

When deciding where to apply AI inside the core, work through a four-part lens:

People: Right skillsets, trained on the AI already built into modern platforms
Process Standardized and automated where the human-in-the-loop can be removed
Data: A governance structure that lets AI pull the right data at the right time
Technology: AI connectors that link ERP, CRM, billing, revenue recognition and financial systems into one connected environment

The Bottom Line

The digital core is the difference between a finance function that reports on the past and one that guides the future. It is not analytics, and it is not AI. The digital core encompasses the people, processes and integrated technology that make analytics and AI worth investing in.

Let Us Be Your Guide Forward

Are you delaying the modernization of the finance function? Cherry Bekaert’s CFO Advisory professionals offer a complimentary Finance Modernization Assessment — a focused, structured conversation that identifies which operational or finance process to tackle first, what technology gaps exist and where AI can deliver value fastest.

Request a Free Assessment