Key Points 

• $1.7T in working capital is trapped on U.S. balance sheets — and at today’s rates, idle cash is an active drag on margins, not just a missed opportunity.
• RPA breaks where CPG lives: exceptions. A zero-touch back office runs disputes, deductions, and reconciliations straight through — no human touch, full governance.
• Three proven levers free the cash: inventory visibility (15–25% less inventory-tied capital), autonomous order-to-cash (30% DSO reduction, $150M cash flow freed), and touchless processing that stops revenue leakage.

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$1.7 Trillion is Sitting Still

Nearly $1.7 trillion in excess working capital is trapped on the balance sheets of the 1,000 largest U.S. public companies, according to The Hackett Group’s 2025 U.S. Working Capital Survey.  That represents roughly 35% of gross working capital and 11% of revenue.  At the same time,  both days sales outstanding (DSO) and days inventory outstanding (DIO) continue to trend in the wrong direction. Hackett describes released cash as the most affordable and immediate source of liquidity available, and reports that finance leaders rank working-capital optimization as their top priority for the year.

With interest rates still well above those of the cheap-money decade, that idle cash is no longer just a missed opportunity; it is an active drag on margins. Every day not removed from the cash conversion cycle is a day the company is, in effect, financing itself at today’s rate of capital.

For most consumer goods and retail leaders, the cause is not financial mismanagement. It is operational complexity. Growth no longer guarantees liquidity because volumes rise, SKUs multiply, and channels fragment, while finance teams spend more time chasing deductions, reconciling disputed invoices, and waiting on retailer payments than funding the next product launch. The zero-touch back office changes that equation. As workflows begin to sense, decide, and execute with minimal human intervention, the cash that legacy operations leave trapped becomes available again.

Where the Cash Actually Hides

In consumer goods, the liquidity challenge is structural. Manufacturers pay for raw materials, packaging, production, and freight weeks or months before retailers settle invoices, i.e., often on 60- to 90-day payment terms with increasingly stringent compliance requirements.  The gap shows up as a long cash conversion cycle (days inventory outstanding + days sales outstanding – days payable outstanding), and most of it hides inside the back office: a manual reconciliation, a disputed deduction, a slow invoice, a mis-dispatched pallet. Each is an operational problem, so fixing operations is what frees up cash. Sutherland’s Outlook 2026: The Road to the Agentic Enterprise argues that the next stage of AI is moving from generating insights to taking action. Organizations that combine redesigned processes with autonomous execution across receivables, inventory, deductions, and finance will not simply automate the back office; they will convert operational efficiency into a strategic source of liquidity.

The three places cash hides

Inventory (DIO) Over-production, slow-moving SKUs, weak FIFO discipline, and expiry or obsolescence losses keep cash sitting on shelves.

Receivables (DSO) Over-production, slow-moving SKUs, weak FIFO discipline, and expiry or obsolescence losses keep cash sitting on shelves.

Cost-to-serve and Leakage Manual matching, exception handling, and weak audit controls inflate operating cost and let revenue leak unnoticed.

The Zero-touch Back Office, Defined

The traditional response to back-office volume was robotic process automation (RPA). RPA remains valuable for executing repetitive, rule-based tasks, but its limitations become apparent the moment a process deviates from the script. Unexpected scenarios are simply routed to a human.  In CPG and retail, exceptions are the process. A short-paid promotion. A disputed deduction code. A remittance without a reference number. A compliance chargeback requiring investigation. Each exception demands manual intervention, and every manual touch adds time, cost, and friction to the cash conversion cycle.

A zero-touch back office operates differently. High-volume work executes straight through, from trigger to outcome, without routine human intervention but under governance and oversight. It is the operational expression of agentic AI, which delivers outcomes rather than outputs: software that runs the process itself and learns as it goes, rather than waiting for human assistance with a task.

The momentum is no longer speculative. Industry analysts expect that by 2028, the majority of finance functions will use AI for real-time decisions on cost and cash-flow management, with agentic AI making around 15% of day-to-day work decisions autonomously, up from effectively zero in 2024. Analysts also warn against “agent washing,” the practice of rebranding chatbots and RPA as agents. The reminder for buyers is that outcomes matter more than labels.

Sutherland’s own production deployments validate the shift. In one recent engagement, an agentic AI solution automated dispute handling and delivered a 60% productivity gain on a workflow that previously required manual investigation at every step. The pattern: agents that own the decision, not assistants that wait for one. Sutherland’s point of view on agentic AI in financial services outlines the same operating shift: from isolated task automation to structured, auditable multi-agent decision systems spanning onboarding, disputes, and compliance.

Three Working-capital Levers, a Zero-touch Back Office Unlocks

Mapped onto the cash conversion cycle, autonomous operations create three concrete pools of recoverable cash. Each lever attacks a different pool.

1.  Inventory to cash: visibility that shrinks DIO

Real-time inventory and dispatch tracking holds FIFO discipline, cuts mis-dispatches, and reduces expiry and obsolescence losses, releasing cash off-the-shelf. Sutherland’s intelligent supply chain point of view for manufacturers quantifies the prize at a 15–25% reduction in inventory-tied working capital. A leading global consumer goods manufacturer (food, beverage, home, personal care, and beauty) proved the model in practice. Sutherland’s eSeal platform delivered a 3.4% reduction in working capital, a 3% drop in obsolescence losses, and 2.8% in revenue savings from cleaner dispatches. The same operating model has since been replicated for a global FMCG leader that cut expiry losses by 3%, showing the eSeal pattern is not an isolated case.

2.  Receivables to cash: order-to-cash that shrinks DSO

The fastest path to freed cash often runs through accounts receivable (AR), and as Sutherland’s view on order-to-cash from the customer’s perspective sets out, the cycle has to be redesigned end-to-end (entry, credit, invoicing, disputes, cash application) rather than tower by tower. For a global courier operating in more than 200 countries, AR ran on manual invoice uploads, reconciliation, and aging reports. Sutherland deployed intelligent automation and RPA integrated with the client’s ERP and banking systems, cutting manual AR effort by 93% and accelerating collections by 80%. A separate order-to-cash overhaul at a global logistics major delivered a 30% reduction in DSO and £500K in write-off savings, and a similar program at a global logistics leader freed $150M in improved cash flow. The platform spine in many of these programs is Sutherland Prodigy, the agentic AI F&A automation platform, running invoice intake, GL coding, exception handling, and three-way matching natively against SAP, Oracle, and Workday. Order-to-cash running itself.

3.  Cost-to-serve and leakage: touchless processing that protects margin

Beyond DIO and DSO, the zero-touch back-office strips costs and stops revenue leakage. Sutherland’s view on where to automate after the pilot phase is clear: high-volume, rule-based operations consistently deliver a 25% productivity uplift, 40% lower transactional costs, and a 20–25% reduction in cost-to-collect. A top-25 U.S. financial holding company modernized its operating backbone with Sutherland Prodigy and Robility, automating reconciliation, escheatment, and document-heavy work under a digital control tower. The result: a 25% lift in operational productivity, a 40% reduction in transactional cost, and a 75% cut in tax-filing effort. A parallel F&A program at a global manufacturer delivered a 40% TCO reduction and 38% productivity gain. The same pattern applies wherever exception-heavy finance meets fragmented systems, including the consumer and retail back office.

The Pattern Scales Beyond CPG

The CPG inventory case above is the cleanest illustration of the model, because working capital and operational risk live in the same place. The same approach repeats wherever transaction volume is high and tolerance for leakage is thin.

• Touchless at scale. A regional aviation leader moved 85% of fare audits to touchless workflows and reduced operating costs by 60%.
• Faster procure-to-pay. A global sportswear manufacturer modernized purchasing on the cloud for a 35% reduction in total cost of ownership and 3x faster purchase cycles, compressing the payables side of the cash cycle.
• AP on a 97% on-time clock. A global investment management firm rebuilt accounts payable for 97% on-time payments and material cost savings, protecting supplier relationships while shortening cycle time.

These outcomes sit in a broader pattern of analyst recognition for Sutherland’s F&A, BFS, and intelligent operations, including Star Performer and Major Contender status in Everest Group’s FAO PEAK Matrix from 2022 through 2025, Leader status in Order-to-Cash, and HFS Horizon 2 Enterprise Innovator placement in Retail and CPG. The recognition spans the exact intersection of CPG, retail, and automation that the zero-touch back office demands.

Getting There Without Breaking the Business

Autonomy is earned, not switched on. Organizations that see results sequence the journey deliberately.

1. Start where volume and ROI are highest. Order-to-cash and accounts payable are the densest, most rule-based towers, and the fastest path to freed cash. Sutherland’s retail and restaurant F&A outsourcing 2026 point of view sets out the same sequencing for consumer-facing finance: shrink month-end close from weeks to days, plug revenue leakage at the POS, then expand.
2. Fix the data, not just the task. Agentic workflows fail on fragmented data far more often than on weak models. A connected layer across order, invoice, inventory, and payment is the foundation for straight-through processing.
3. Design for governance and oversight. Expand autonomy gradually as outcomes are validated. Every action should be logged, auditable, and reversible. Sutherland delivers AI-led workflows through its governance-first Agentic Software Engineering (ASE) framework, instrumented with a real-time control tower that turns the back office from a monthly rear-view report into a live working-capital dashboard.

The Window is Open Now

The economics have aligned. Retailers continue to push longer payment terms and stricter compliance, widening the cash gap precisely as brands scale. Capital is no longer cheap. And agentic AI has moved from pilot to production, with analyst and audit frameworks to back it up. Sutherland’s Outlook 2026 for retail and CPG lays out the phased playbook for the sector specifically: autonomous execution across supply chain, merchandising, and back-office finance, without replacing human oversight. The brands that move first will self-fund growth from their own balance sheets while competitors keep borrowing against theirs. The zero-touch back office is coming either way. The choice for finance and operations leaders is whether their trapped working capital starts funding their next move or remains idle while someone else’s workflows run themselves.