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Finance Transformation Stories — Story 002From Disconnected Financials to Enterprise Visibility
Private Equity / Industrial Services~$500M revenue

Finance Transformation Stories: 002

This story is an anonymized client engagement. Identifying details have been changed or omitted to protect client confidentiality. Outcomes reflect the engagement described.

A PE-backed industrial services organization at $500M lacked a timely enterprise view. SRG standardized reporting and redesigned executive dashboards.

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Challenge

A PE-backed multi-entity platform where each subsidiary used different charts of accounts, close routines, KPI definitions, and reporting formats — forcing finance teams to spend significant capacity on manual consolidation, translation, and reconciliation before any analysis could begin.

Outcome

SRG standardized the reporting framework, aligned KPI definitions, structured the aggregation process, clarified governance and signoff, and redesigned executive reporting around decision needs — delivering more consistent management reporting, improved comparability, reduced manual consolidation effort, and greater finance capacity for analysis. Qualitative outcomes only; quantitative metrics were not retained for publication.

Finance Transformation Stories: 002

Acquisitions Expanded the Platform. Reporting Structures Remained Fragmented.

A private equity-backed industrial services organization had grown through multiple acquisitions. Each operating entity brought its own accounting system, chart of accounts, close routines, reporting conventions, KPI definitions, and management-reporting package.

Although each subsidiary could produce financial information, leadership lacked a timely and consistent enterprise-wide view. Finance teams spent significant effort gathering, reshaping, and reconciling information before analysis could begin. The organization required more than new reports. It needed a financial management framework that could support comparison, accountability, and future growth.

The reporting transformation standardized recurring management reporting, aligned performance metrics, clarified ownership, and redesigned executive reporting around decision needs.

*Quantitative metrics were not retained for publication. The outcomes in this case study are presented as qualitative improvements.*

The symptoms leadership experienced:

  • Reporting delays — Manual compilation delayed analysis and management review.
  • Spreadsheet dependence — Consolidation relied heavily on locally maintained files and individual knowledge.
  • KPI inconsistency — Entities used different definitions for operational and financial measures.
  • Limited comparability — Business-unit performance was difficult to evaluate on a like-for-like basis.
  • Version confusion — Multiple report versions reduced confidence in which information was current.
  • Decision lag — Finance capacity was spent assembling information instead of interpreting it.

The Root Cause Was Reporting Governance, Not Reporting Software Alone

Technology could not resolve inconsistent financial definitions by itself. The first requirement was to define how the organization wanted to measure performance, who owned each input, and what leadership needed to see on a recurring basis.

| Root cause | Operating impact | SRG response |

|---|---|---|

| Different charts of accounts | Financial results required mapping before comparison. | Create common reporting categories and governed mapping logic. |

| Different close routines | Reporting readiness varied across the organization. | Establish clear reporting deadlines, ownership, and review expectations. |

| Different report formats | Leadership spent time translating reports instead of discussing performance. | Adopt a recurring enterprise reporting structure. |

| Different KPI definitions | Comparisons could be inconsistent or misleading. | Document common definitions, sources, frequency, and owners. |

| Spreadsheet consolidation | The process increased effort, rework, and key-person dependency. | Reduce manual handling through a structured aggregation process. |

| Multiple report versions | Executives could work from different versions of the same period. | Define governed publication and controlled distribution. |

The Organization Shifted From Report Production to a Reporting Operating Model

The transformation addressed process, definitions, ownership, and executive use. Technology could then support a framework that had a clear purpose and governance model.

| Before | After | Management value |

|---|---|---|

| Entity-specific reporting structures | Standard reporting framework — recurring packages use a consistent organization and level of detail. | Improves comparability and helps management focus on exceptions and decisions. |

| Locally defined KPIs | Common KPI dictionary — metrics receive documented definitions, owners, sources, and timing. | Creates a shared performance language and strengthens accountability. |

| Manual spreadsheet consolidation | Structured aggregation process — data moves through defined mappings, validation, and review steps. | Reduces rework and makes the reporting cycle more repeatable. |

| Decentralized reporting ownership | Clear governance and signoff — preparing, reviewing, and publishing responsibilities are assigned. | Improves reliability and reduces ambiguity about who resolves differences. |

| Reports built around available data | Executive reporting designed around decision needs — directs attention to performance drivers, risks, trends, and required actions. | Improves the usefulness of reporting for leadership decisions. |

| Files dispersed through email and local folders | Controlled reporting repository — approved packages, definitions, and support are centrally organized. | Improves retrieval, continuity, and confidence in published information. |

How SRG Solves the Problem Today

SRG approaches multi-entity reporting as a financial leadership and operating-model engagement. The work starts by defining decision requirements, financial and operational measures, data ownership, consolidation logic, review controls, and reporting cadence. Technology is then selected and configured to reinforce those decisions.

1. Discover — Inventory entities, systems, close timelines, reports, KPI definitions, stakeholders, and decision needs.

2. Standardize — Define enterprise reporting categories, KPI definitions, mapping logic, ownership, and period-end expectations.

3. Connect — Align accounting sources, transformation steps, repositories, and dashboard data flows.

4. Visualize — Design executive and operating views that highlight trends, performance drivers, risks, and required actions.

5. Enable — Document processes, train owners and reviewers, establish signoff, and monitor adoption.

6. Optimize — Refine metrics, eliminate recurring workarounds, strengthen commentary, and prepare the reporting model for future acquisitions.

Microsoft-Powered Reporting Infrastructure

SRG uses Microsoft capabilities as components of a broader finance operating model rather than as stand-alone technology projects. The appropriate architecture depends on the client's systems, data quality, licensing, security requirements, and reporting maturity.

  • Power BI — Create governed dashboards and recurring views across entities, business units, locations, and periods.
  • SharePoint — Organize approved reporting packages, KPI definitions, policies, budgets, forecasts, and supporting material.
  • Business Central — Support consistent finance processes and reporting structures for organizations using Microsoft business applications.
  • Power Automate — Orchestrate notifications, routing, approvals, reminders, and defined reporting workflow steps.
  • Microsoft 365 Copilot — Assist authorized users with summarization, drafting, analysis, and knowledge retrieval in Microsoft 365 applications.
  • Copilot Studio agents — Build specialized agents with organizational instructions, knowledge, connectors, and permitted actions.

*Implementation principle: source permissions, data-loss-prevention policies, connector access, action authority, and human review requirements should be designed before production use.*

AI-Enabled Reporting and Financial Intelligence

SRG uses agents to reduce search, drafting, and coordination work — not to remove accountability.

  • Finance knowledge agent — Ground responses in approved KPI definitions, reporting policies, close calendars, and finance procedures stored in authorized repositories.
  • Reporting support agent — Retrieve approved information and assist with first-draft executive summaries, variance narratives, and action tracking.
  • Management inquiry agent — Answer permitted questions using governed reporting content and clearly identified sources.
  • Reconciliation agent — Support data retrieval, matching, report generation, notifications, and defined follow-up actions.
  • Workflow agent — Trigger permitted notifications, task routing, record updates, and exception escalation through connected actions.
  • Meeting and action intelligence — Summarize approved finance meetings and capture action items where organizational recording and transcription policies permit.

*Human-supervision principle: finance professionals remain responsible for source quality, accounting judgment, commentary, approval, access, and exception resolution.*

The Reporting Framework Became More Visible, Comparable, and Scalable

Observed qualitative improvements included more consistent management reporting, improved comparison across operating entities, reduced dependence on manual spreadsheet consolidation, greater confidence in reporting outputs, and more finance capacity available for analysis and decision support.

| Stage | Description |

|---|---|

| Manual | Entity spreadsheets, email distribution, inconsistent structures, and significant report assembly effort. |

| Standardized | Common reporting packages, KPI definitions, ownership, governance, and review cadence. |

| Connected | Power BI dashboards, governed repositories, integrated data flows, and workflow monitoring. |

| AI-Enabled | Knowledge retrieval, first-draft commentary, reporting support, reconciliation assistance, and governed agent actions. |

*Microsoft capability descriptions are based on Microsoft Learn documentation for Microsoft 365 Copilot agents and custom Finance Agent reconciliation agents. Product availability, licensing, preview status, and functionality can change. Proposed implementations should be validated against current Microsoft documentation and the client's security and governance requirements.*

Talk to SRG about building a reporting framework that supports decisions across your organization.

Multi-Entity ReportingFinance TransformationCFO AdvisoryPower BIMicrosoft 365Advanced Intelligence-Enabled AccountingPrivate EquityReporting Standardization
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