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Finance & Operations

The Smartest Enterprises Use a Finance Managed Service as a Growth Operating System

Rajesh SP

Rajesh SP

Director of Finance

6 min read

42%

of finance activities can be fully automated with demonstrated technologies (McKinsey)

19%

more can be mostly automated (McKinsey)

Up to 50%

cost savings possible with managed finance models

Key takeaways

  1. 01

    Design at activity level

    Organise finance into 8 to 10 modules and 80 to 100 activities.

  2. 02

    Automate intelligently

    Automate stable workflows and keep judgement with people.

  3. 03

    Turn MIS into decision support

    Surface forward-looking answers before they are asked.

  4. 04

    Build for elasticity

    One model that works for 10 employees or 1,000.

Leading enterprises today want to know whether finance can be redesigned so thoroughly that the business experiences it less as a back-office cost centre and more as an operating system for control, speed, and better decisions. That objective has never been more central, especially for mid-market enterprises that often want top-notch, enterprise-grade financial discipline without the cost or organisational complexity of building a full in-house function from scratch.

Move beyond labour arbitrage

What holds them back from achieving that ambition? For one, too many conversations about finance managed services still begin and close with headcount savings. The more robust case is in a managed model that provides a Global Capability Centre (GCC) with a repeatable operating architecture, built at the level of activities, controls, workflows, and decision rights, organised into 8 to 10 modules with roughly 80 to 100 activities across them.

In practice, these modules span Accounts Payable, Accounts Receivable, Treasury, Payroll, Financial Reporting, Compliance, Taxation, FP&A, Procurement Finance, and Governance. Breaking finance into clearly defined activities allows organisations to determine which processes should be automated, which should remain human-led, and where controls should be embedded from the outset.

The operating architecture

Finance, broken into modules and activities

8 to 10modules
80 to 100activities across them
  1. Accounts Payable
  2. Accounts Receivable
  3. Treasury
  4. Payroll
  5. Financial Reporting
  6. Compliance
  7. Taxation
  8. FP&A
  9. Procurement Finance
  10. Governance
Each activity is mapped to
  • Bots
  • ERP
  • AI
  • Human action

Controls are embedded from the outset, not added later.

Within this architecture, the enterprise needs to build a clear view of where bots, ERP capabilities, AI, and human action play a role.

An activity-level design is necessary because finance is not a monolith. Some tasks are highly rules-based and suited to automation; others depend on judgement, exception handling, and context. McKinsey estimates that currently demonstrated technologies can fully automate 42 percent of finance activities and mostly automate another 19 percent, but it also argues that leaders capture the most value only when they redesign processes and organisations around the technology instead of wrapping new tools around old workflows. For a GCC finance leader, the implication is practical: engineer the target operating model for scale from day one; do not wait for volumes to rise or reporting requirements to change.

A finance function that clients can forget

The strongest managed services proposition for the finance function is that it no longer has to chase tasks: vendor payments, reconciliations, audit readiness, monthly close, compliance filings, and document turnaround. These items move off the to-do list and into the GCC's governed service environment with measurable SLAs.

That is a capability CFOs will want. In fact, everyone in the enterprise will want it. Because finance touches every function, a lack of dependability in finance translates into a lack of reliability in operations.

Disciplined close cycles

Monthly close runs to a predictable rhythm.

No duplicate payments

Controls prevent duplicate payments before they happen.

Maintained reconciliations

Accounts stay reconciled and audit ready.

Timely commentary and cash visibility

Variance commentary and cash flow visibility arrive on time.

When a managed services model delivers these, it goes beyond cost-cutting; it reduces managerial friction across the enterprise. This is true even for the largest enterprises, but it is especially true in mid-market settings, where leadership bandwidth is scarce. Releasing management overhead is just as valuable as the savings themselves. This is, in essence, the key characteristic of a future-ready finance service.

Automate the workflow, leave the judgement to humans

A common misconception in finance transformation is that "future-ready" means "fully automated." However, a better path is selective automation: automate the workflows where rules are stable, then reallocate human effort to the processes where judgement is critical. Therefore, the starting point for finance leaders is everyday transactional work. They need early automation wins to build capacity they can redeploy to higher-value tasks, such as analysis and strategy.

For example, invoice processing, account reconciliations, policy validations, cash flow forecasting, and variance commentary can increasingly be supported by AI and workflow automation. However, funding decisions, business partnering, strategic trade-offs, and management judgement remain inherently human responsibilities.

The winners will not be organisations that automate everything. They will be organisations that automate intelligently.

This is where many managed services models either differentiate themselves or fall short. Raising purchase orders, processing invoices, matching records, and generating standard reports can increasingly be system-driven. But exception review, variance interpretation, funding decisions, and scenario-driven commentary require experienced finance professionals who understand the business context in addition to understanding the ledger.

Selective automation

Automate where rules are stable, keep judgement with people

AI and workflow automation

System-driven

  • Raising purchase orders
  • Invoice processing
  • Account reconciliations
  • Matching records
  • Policy validations
  • Cash flow forecasting
  • Variance commentary
  • Standard reports
Experienced finance professionals

Human judgement

  • Exception review
  • Variance interpretation
  • Funding decisions
  • Scenario-driven commentary
  • Business partnering
  • Strategic trade-offs

Early automation wins build capacity to redeploy to analysis and strategy.

In other words, the goal is to automate repetitive tasks so that human expertise can be applied with greater precision to unlock greater value.

Turn MIS into decision support

The most important argument in favour of a competent managed service is that financial reporting should not function as a monthly post-mortem. It should help CXOs, country heads, local teams, and individuals make forward-looking decisions. That change signals a larger expectation for the finance function, which can elevate its effectiveness and value by delivering real-time, data-enabled decision support driven by automation and advanced analytics.

For a GCC, the real test of a finance managed service is not the timely closing of the books (although that is critical). Its value lies in providing answers and surfacing questions before they are asked, such as:

  1. 01 / Funding

    When will a project require fresh funding?

  2. 02 / Variance

    What explains the variance beyond the obvious line-item movement?

  3. 03 / Budget

    Which budget assumptions are becoming structurally unreliable?

  4. 04 / Risk

    Where are payment delays, burn rates, or control exceptions beginning to present strategic risk?

When reporting evolves in that direction, finance stops delivering a post-facto record of performance and starts shaping it.

Design for the mid-market growth curve

This framework for a managed financial service is especially compelling for mid-market enterprises because their problems are rarely limited to cost. Their challenge is to institutionalise financial capability ahead of growth.

Efficiency

While cost benefits vary by organisation, managed finance models can deliver cost savings of up to 50 percent.

Maturity

They also enhance process maturity, governance, and scalability.

Elasticity

The model should work whether the GCC has 10 employees or 1,000, without redesigning processes or reporting logic each time the business changes its market or growth strategy.

Elasticity is the most significant advantage. That is the difference between buying capacity and buying capability.

For the head of finance, the case for a GCC goes beyond centralising work; it helps build a scalable operating discipline and is therefore a necessary strategic investment.

About the author

Rajesh SP

Director of Finance, Embark

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