Coming Transformation of Accounting Information Systems (Alternative)

"Isn't it astonishing that all these secrets have been preserved for so many years just so we could discover them!!"  -- Orville Wright, June 7, 1903

Accounting, reporting, auditing, and analysis will go through a significant refactoring over the coming years.  This refactoring will transform accountings, auditors, and analysts from their current roles as "data janitors" into curators and stewards of truth.

Allow me to explain.

The Legacy Paradigm: Systems Built Assuming Inconsistency

For decades, accounting information systems assumed that data would be inconsistent. Errors were expected, and organizations compensated by building manual pipelines for checking, fixing, and reconciling information; a perpetual cycle of remediation.

This approach produced two forms of fragmentation:

  • Physical fragmentation: data scattered across spreadsheets, ledgers, platforms, and files 
  • Semantic fragmentation: incompatible meanings, definitions, and structures 

Once fragmented, traceability/trackability breaks. You cannot reliably follow a fact from origin to use, nor prove truth; only reconcile errors after the fact.

Furthermore; the volume of information, the pace of that information, and the complexity of that information are all putting incredible stress on traditional approaches.

The A&AD Mindset: Truth by Design

The Accounting & Audit by Design (A&AD) framework introduces a fundamentally different worldview: consistency is engineered into the system, not reconstructed. Here are the key principles of A&AD:

  • Truth is inherent: facts must be valid before entering the system
  • Boundaries are rule‑governed: machine‑interpretable rules define what is allowed and ensure coherence and compliance
  • Semantic and physical fragmentation disappear: one unified, machine‑interpretable semantic space replaces scattered systems and inconsistent meanings 

With this, traceability becomes continuous and defensible. Every fact can be followed from origin to assertion without gaps or manual reconstruction.

A New Role for Accountants

Under A&AD, accountants shift from “data janitors” to curators of rule integrity. Their work focuses on governance, assurance, and managing epistemic risk rather than cleaning up inconsistent data.

Accountants, auditors, and analysts oversee the rule system that ensures the correctness of the data itself; becoming stewards of a self‑consistent truth system.

Why This Transformation Is Now Possible

A&AD is not hype; it is enabled by shifts in technology, intent, and engineering.

The past 50–75 years lacked the internet, AI, mobile computing, blockchains, or knowledge graphs. Systems evolved piecemeal, without a long‑term plan, because the future was unknowable at the time.

Now, AI is emerging as a profound capability, even if its full implications are not yet understood. But we do understand the structural problems that limit its usefulness in current accounting information systems.

A&AD is a conscious, engineered refactoring of accounting, reporting, auditing, and analysis; not an incremental patchwork.

The Components A&AD Leverages

A&AD integrates ideas from multiple disciplines:

  • Double‑entry bookkeeping as a computational substrate
  • Lean and Six Sigma for quality management (borrowed from the manufacturing industry)
  • Agile for efficiency and effectiveness (borrowed from software development)
  • Extreme Programming for rules driven work (borrowed from software development)
  • Semantic Web standards for machine‑interpretable meaning
  • AI applied flexibly, not tied to any single application
  • Git/GitHub‑style versioning applied to information rather than code (borrowed from software development)
  • Lego‑like modularity for assembling durable, elegant systems from small components (borrowed from the manufacturing industry)
  • Declarative rules managed by business professionals, not technology professionals
  • Immutable digital distributed ledgers (borrowed from blockchain and cryptocurrency)

Novices (who produce kludges) as contrast to skilled craftsmen (who produce elegant systems) produce different outcomes.  The importance of design skill in assembling these components effectively cannot be understated. That design skill requires an understanding of accounting, reporting, auditing, and analysis as well as state-of-the-art technology understanding plus an understanding of knowledge engineering.

The Aim: Industrial‑Strength, Modular Tools

A&AD seeks to create tools that are:

  • Understandable to accountants, auditors, and analysts
  • Durable
  • Useful
  • Elegant

These tools operate on consistent, synchronized, connected information; not on inconsistent, out of sync, disconnected data.

This is not futuristic; it is imminent. Industrialization becomes possible when processes are routinized, repeatable, scalable, and reliable.

What Industrialization Means

The following is a summary of what is necessary to achieve industrialization:

  • Standardization: clear steps produce consistent results
  • Repeatability: humans or machines can follow the same steps reliably
  • Scale: processes can be executed thousands of times
  • Efficiency: waste and variation are removed
  • Craft transformed to system: work shifts from personal skill to controlled processes

Let me explain industrialization in terms of a cooking metaphor:

  • Cooking from memory is craft
  • Writing a recipe is standardization
  • Running a kitchen producing 500 identical meals a day is industrialization 

In Summary

As such, there now can be two approaches which can be used to organize an accounting information system:

  • Legacy approach: Expect inconsistent, contradictory, out of sync, fragmented, and therefore many times disconnected accounting information systems and continue with the relatively "dumb" nature of the systems.
  • New approach: Expect/demand and proactively and deliberately do the work necessary to assure that information is consistent, is synchronized, and is connected such that smarter systems can be created.
Information wants to be free from imperfections. We don't want information which surprises us with inconsistencies, contradictions, multiple possible versions of the truth. We want to give the smart software applications the best possible chance to perform to their full potential.

Applied to A&AD

A&AD enables this shift for accounting, reporting, auditing, and analysis tasks, workflows, projects, and processes.

The primary business outcome from A&AD is the maximization of the value and utility of artificial intelligence. The primary reason to improve accounting, reporting, audit, and analysis infrastructure is to allow smart software applications to perform at their full potential. Human and computer teams using new types of work systems to complete their accounting, reporting, audit, and analysis tasks and processes.

The future of enterprise artificial intelligence will not be won by storing more information.  It will be won by trusted information sources and a trusted process for assembling the right context, the right information, the right knowledge, the right constraints, for the right agent, at the right moment, under the right rules. That is precisely what artificial intelligence needs to provide benefit.

If you want to understand this, I would suggest you do the following: (1) Watch this explainer video to understand what a "digital information organism" is; (2) Watch this video which demonstrates a digital information organisms in action; (3) Read this blog post which provides details about digital information organisms; (4) Have a look at this example of a financial statement holon; (5) Experience digital information organisms in action.

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