Doxis Blog  Customer Stories & Use Cases

HR is being asked to do more with less – but the work is getting more complex

| Janine Trinkaus

Every budget season, the message to HR is the same: do more with less. Headcount stays flat. Expectations rise. And meanwhile, the actual work – hiring, onboarding, compliance, employee queries, benefits administration – quietly becomes more complex with every regulatory change, organizational restructure and workforce shift.

Something is breaking. And it is not HR's ambition. It's the infrastructure HR has been asked to operate within.

The unnamed efficiency problem

Ask any HR leader what their biggest operational challenge is and you will hear variations of the same answer, "We're stretched thin." But stretched thin isn't strategy problem. It's a frequently a process and infrastructure problem that gets misdiagnosed as a resource problem.

HR teams are simultaneously expected to:

  • Lead complex transformation initiatives (AI adoption, skills-based organization design, hybrid work policy)
  • Maintain compliance across an increasingly complex regulatory environment
  • Deliver a high-quality employee experience at scale
  • Contribute measurable business value – with shrinking margins for error

All of this is happening while much of the actual administrative backbone of HR – document management, employee file handling, onboarding paperwork, compliance tracking – is still managed through a combination of shared drives, email threads and disconnected manual processes. The result is a function caught in permanent operational firefighting, unable to invest meaningfully in the strategic work it is being evaluated on.

HR by the numbers: Underfunded and overburdened

HR receives approximately 0.80% of company revenue – one of the lowest funding levels of any organizational support function (Source: Gartner 2025 CHRO Budget Benchmarks). Finance receives 1.25%. IT receives 3.14%. Marketing receives 7.5%.

Yet HR is expected to manage the organization's most complex and high-stakes resource: your people.

HR managers lose an estimated 14 hours per week to manual document-related processes – effectively half of a standard working week consumed by administrative work that does not require human judgement.
Source: IDC Research, 2024

69% of HR costs are people-related, making the function's operational efficiency directly tied to how effectively HR staff spend their time (Source: Gartner 2025 CHRO Budget Benchmarks). This creates a compounding problem. When a significant portion of an already underfunded function's time is consumed by low-value administrative tasks, the gap between what HR is asked to deliver and what it has capacity to deliver widens with every passing quarter.

The document gap that transformation strategies miss

The conventional explanation is budget. But the deeper issue is structural. HR transformation initiatives – HRIS implementations, process redesigns, employee experience programs – tend to focus on data and system layers. They modernize how employee information is stored and reported. They rarely address how documents flow through the organization.

The average large enterprise HR function manages thousands of employee documents: contracts, amendments, offer letters, onboarding packs, performance documentation, compliance certificates, policy acknowledgements, termination records. These documents:

  • Live in multiple locations: shared drives, email inboxes, local folders, physical archives
  • Are not connected to the HR systems that need to act on them
  • Require manual handling for retrieval, distribution, filing, and deletion
  • Create compliance exposure when retention rules are managed manually

The HR technology stack grows. The document problem stays.

According to a 2025 Gartner report on evaluating AI for document management, 70–90% of enterprise information exists in unstructured formats – unclassified, unindexed, and unmanaged due to time constraints. Only 14% of organizations report high confidence that their content is AI-ready. In HR, where the document estate is particularly complex, the gap between the data layer and the document layer represents a direct barrier to transformation. (Gartner, Evaluating AI for Document Management, January 2026)

Measurable costs of the document gap

The consequences are measurable:

  1. Onboarding delays: When documentation management is manual, new hires cannot be fully active on day one. Time-to-productivity is directly affected. Organizations with strong, structured onboarding programs achieve 82% higher new hire retention and 70% higher productivity compared to peers with ad hoc onboarding processes. Yet only 12% of employees report that their company does onboarding well. When document management is manual and disconnected from the HRIS, onboarding cannot be consistent or structured – and the compounding cost of early attrition follows. (Brandon Hall Group, 2024; Gallup, 2025)

  2. Compliance risk: Manual retention and deletion management creates exposure to data protection violations (GDPR and equivalent frameworks), particularly when offboarding is not systematically managed. GDPR enforcement has intensified significantly: cumulative fines across the EU reached approximately €5.65 billion by early 2025, with the average GDPR fine exceeding €2.36 million. Notably, the “Employment” sector consistently ranks among the sectors with the highest average fine values, making HR document lifecycle management a direct business risk – not merely an operational inconvenience. (CMS GDPR Enforcement Tracker / DLA Piper, 2025)

  3. Talent risk: Senior HR staff who should be contributing to workforce strategy spend meaningful portions of their time searching for documents, chasing signatures, and managing filing.

  4. AI readiness failure: Executives now expect AI to drive 17–23% productivity gains across functions. In HR, this is almost impossible when documents – the primary carrier of employment-critical information – are unstructured, inconsistently filed and disconnected from core HR systems. Gartner research confirms that 63% of organizations either do not have or are unsure whether they have the right data management practices for AI. More critically, Gartner predicts that through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data. In HR, where the document layer is the primary source of unstructured employment information, this isn't a technology risk – it's a governance and infrastructure risk. (Gartner, 2025)

How leading HR teams are losing the gap

The HR functions making progress on this challenge share a common shift in thinking. They have stopped treating document management as a clerical problem and started treating it as an infrastructure problem – one that sits upstream of every transformation initiative they want to run.

Practically, this means:

  • Auditing the document lifecycle end-to-end –from document generation through to legally compliant destruction– and identifying every point where a human is doing something a system could do
  • Connecting document workflows to HRIS platforms so that triggers in the system (a new hire, a contract amendment, a termination) automatically initiate the right document actions
  • Building employee self-service document access – reducing the volume of HR queries that consume staff time
  • Establishing structured, automated retention policies that ensure compliance without manual intervention

None of these changes require a full-scale transformation program. They require identifying where the document gap exists within the existing HR technology architecture and closing it systematically.

Why HR transformation keeps hitting the same wall

HR is not failing because HR leaders lack ambition or capability. It's failing to reach its strategic potential because operational infrastructure has not kept pace with operational expectations. Document management – often overlooked in transformation roadmaps – is frequently the hidden constraint.

The question for HR leaders to sit with is not, "how do we get more budget?" It's, "how much of our current capacity is being consumed by work that should already be automated?" The answer, in most HR functions, is more than is comfortable to acknowledge.

This is one of six articles in the "The HR Gap" series, examining why enterprise content management is becoming a prerequisite for HR transformation. The full series is available on the Doxis Blog.

Measurable costs of the document gap

The consequences are measurable:

  1. Onboarding delays: When documentation management is manual, new hires cannot be fully active on day one. Time-to-productivity is directly affected. Organizations with strong, structured onboarding programs achieve 82% higher new hire retention and 70% higher productivity compared to peers with ad hoc onboarding processes. Yet only 12% of employees report that their company does onboarding well. When document management is manual and disconnected from the HRIS, onboarding cannot be consistent or structured – and the compounding cost of early attrition follows. (Brandon Hall Group, 2024; Gallup, 2025)

  2. Compliance risk: Manual retention and deletion management creates exposure to data protection violations (GDPR and equivalent frameworks), particularly when offboarding is not systematically managed. GDPR enforcement has intensified significantly: cumulative fines across the EU reached approximately €5.65 billion by early 2025, with the average GDPR fine exceeding €2.36 million. Notably, the “Employment” sector consistently ranks among the sectors with the highest average fine values, making HR document lifecycle management a direct business risk – not merely an operational inconvenience. (CMS GDPR Enforcement Tracker / DLA Piper, 2025)

  3. Talent risk: Senior HR staff who should be contributing to workforce strategy spend meaningful portions of their time searching for documents, chasing signatures, and managing filing.

  4. AI readiness failure: Executives now expect AI to drive 17–23% productivity gains across functions. In HR, this is almost impossible when documents – the primary carrier of employment-critical information – are unstructured, inconsistently filed, and disconnected from core HR systems. Gartner research confirms that 63% of organizations either do not have or are unsure whether they have the right data management practices for AI. More critically, Gartner predicts that through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data. In HR, where the document layer is the primary source of unstructured employment information, this is not a technology risk – it is a governance and infrastructure risk. (Gartner, 2025)

How leading HR teams are losing the gap

The HR functions making progress on this challenge share a common shift in thinking. They have stopped treating document management as a clerical problem and started treating it as an infrastructure problem  – one that sits upstream of every transformation initiative they want to run.

Practically, this means:

  • Auditing the document lifecycle end-to-end –from document generation through to legally compliant destruction– and identifying every point where a human is doing something a system could do
  • Connecting document workflows to HRIS platforms so that triggers in the system (a new hire, a contract amendment, a termination) automatically initiate the right document actions
  • Building employee self-service document access – reducing the volume of HR queries that consume staff time
  • Establishing structured, automated retention policies that ensure compliance without manual intervention

None of these changes require a full-scale transformation program. They require identifying where the document gap exists within the existing HR technology architecture and closing it systematically.

Why HR transformation keeps hitting the same wall

HR is not failing because HR leaders lack ambition or capability. It is failing to reach its strategic potential because operational infrastructure has not kept pace with operational expectations. Document management – often overlooked in transformation roadmaps – is frequently the hidden constraint.

The question for HR leaders to sit with is not "how do we get more budget?" It is "how much of our current capacity is being consumed by work that should already be automated?" The answer, in most HR functions, is more than is comfortable to acknowledge.

This is one of six articles in the "The HR Gap" series, examining why enterprise content management is becoming a prerequisite for HR transformation. The full series is available on the Doxis Blog.

Janine Trinkaus

Janine Trinkaus is Chief People Officer at Doxis, where she leads global HR strategy and people operations. With nearly 15 years of experience in international software companies, she writes about the future of work, HR transformation and building high-performing organizations.

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