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How Regulatory Change Drives Transformation: e-Invoicing as a Window Into Agentic Automation

Slavena Hristova

December 12, 2025

E-invoicing is just the latest example of how external disruptions reshape the finance landscape. For many, this mandate presents yet another instance of outside pressure imposing new requirements. But looked at differently, e-invoicing offers a unique opportunity: it exposes where our existing processes struggle with complexity and where legacy workflows are overdue for a reset. By using such disruption as a catalyst, organizations can lay the groundwork for transformation—preparing not only to comply, but to thrive in the face of future change.

This is more than an exercise in digitizing invoices. It’s a moment to re-examine the whole structure of financial operations, turning a compliance obligation into a strategic lever. The processes and systems we build now position us to embrace agentic automation and move from reactive change to proactive strategy.

Seeing beyond the disruption

When new regulations upend established routines, it’s natural to see them as an additional burden. E-invoicing, with its complexity, lack of clarity, and shifting deadlines and data exchange requirements, can seem especially disruptive. Adapting to new formats, integrating reporting systems, and updating controls is demanding work, and the immediate benefit is often unclear—appearing to serve primarily external stakeholders like tax authorities.

But e-invoicing’s true value lies in what it reveals: an environment filled with disconnected documents, manual interventions, and patchwork data streams. Contracts, purchase orders, and payment advices remain scattered across paper, PDF, email, and hybrid sources. Addressing just the e-invoice layer without tackling these other workflows creates a fragmented, fragile process—one that reacts to the latest regulation but remains exposed to future disruptions.

This realization is our cue to act: to use the current challenge as a springboard for strategic process redesign. Only by addressing these end-to-end complexities—transforming not just one document flow, but the broader data landscape—can we build systems robust enough for tomorrow’s demands.

The foundation: reliable, structured accessible data

Regulatory mandates like e-invoicing solve for a single document type, but they leave dozens of others untouched. Workflows for purchase orders, shipping notices, and customs declarations remain dependent on manual data entry, creating blind spots that slow down operations and consume scarce resources. This fragmented approach fails to deliver end-to-end visibility and control.

Intelligent document processing (IDP) confronts this challenge directly by creating a unified data layer for all document-based operations:

  • Ingest and classify: Automatically handle any document type or format, from PDFs and scans to emails and images, and identify what each means in context.
  • Extract and verify: Pull out actionable data points and validate them against internal rules and existing enterprise records.
  • Structure and integrate: Transform unstructured content into consistent, trusted data that synchronizes across ERP and other financial platforms, like CRM and SCM systems.

 

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By structuring all trade and finance documents, not just one, IDP builds a comprehensive, reliable data foundation. This gives organizations a single source of truth that enables true resilience and adaptability, no matter what new requirements appear.

The context: truly understanding processes

External disruptions are seldom one-dimensional. Financial workflows like Procure-to-Pay and Record-to-Report are built from intricate dependencies, conditional steps, and human decision points. Without clarity into how these processes actually run, change initiatives tend to add new layers of complexity—rather than simplifying and strengthening the operation.

Process intelligence (PI) brings this needed transparency. Instead of relying on assumptions or outdated diagrams, PI draws a live map of processes using real event data from your systems:

  • Reveal bottlenecks: Clearly see where delays, errors, or resource drains occur, and why.
  • Detect deviations: Find where teams diverge from compliance or standard practices, often in response to previous regulatory changes.
  • Simulate improvement: Model the impact of potential changes before rolling them out, reducing disruption and building confidence in every step.

Armed with these insights, finance leaders can address not only the current regulatory disruption—but anticipate and design for what’s next. This is how organizations move from reactive firefighting to strategic process management.

The future: agentic AI as an outcome of readiness

By aligning on proven data and process foundations, organizations can take full advantage of technological leaps like agentic automation. Agentic AI is not replacing people, it is creating workflows that are agile, responsive, and fit for continuous evolution.

With structured data from IDP and clear process context from PI, agentic systems can take over steps that with traditional automation methods required human intervention:

  • Request missing documentation without manual prompting
  • Reconcile banking and ledger entries, escalating issues only when needed
  • Identify mismatches in intercompany transactions and suggest adjustments
  • Automate accruals and reporting, freeing teams to focus on high-value activities

Rather than viewing disruption as a threat, organizations now have the tools to see it as a test of readiness—and a chance to surface new efficiencies at scale.

Turning outside pressure into internal strength

Every new regulation, like e-invoicing, is a reminder that external forces will continue to unsettle established routines. They surface hidden weaknesses, focus attention on root causes, and provide momentum for much-needed change.

By shifting from a mindset of compliance as defense to one of strategic readiness, organizations build resilience for the challenges ahead. A three-layered approach—trusted data through IDP, verified context with PI, and intelligent action from agentic systems—offers a repeatable path for turning today’s mandate into tomorrow’s advantage.

Slavena Hristova ABBYY

Slavena Hristova

Director of Product Marketing, Document AI at ABBYY

Slavena Hristova is a seasoned product marketing leader specializing in AI-powered intelligent document processing, OCR, and business process automation. As Director of Product Marketing at ABBYY, she drives the global strategy for the Document AI product line, shaping its market positioning, go-to-market execution, and customer adoption.

With deep expertise in product marketing and management, Slavena bridges the gap between technology and business needs, enabling organizations to harness AI-driven automation for smarter document workflows. Passionate about innovation and the evolving role of AI in enterprise automation, she brings a strategic and results-driven approach to transforming how businesses process and extract value from their data.

Follow Slavena on LinkedIn.