For years, manufacturers have pursued automation to drive efficiency – faster reporting, fewer reconciliations, tighter controls. But the next competitive leap isn’t more automation; it’s autonomy. Finance functions are evolving into intelligent ecosystems where AI agents collaborate with people to surface insights, make recommendations, and even act on them within ERP workflows.
This is the hallmark of a Frontier Firm: a next-generation organisation that reorganises around AI, using digital agents and intelligent systems to enhance human capability, boost productivity, and unlock new value.
For manufacturers, becoming a Frontier Firm means moving beyond digitisation to build operations that are continuously learning, adapting, and improving – powered by human oversight and AI-driven execution.
The C-suite’s expanding mandate: strategy, stewardship, and AI
The responsibility for this evolution doesn’t rest with finance alone. For CFOs and the wider C-suite, the mandate now spans strategy, stewardship, and AI. Finance leaders are becoming architects of AI-enabled operating models that redefine how value is created and measured.
In Frontier organisations, teams move from systems of transaction to systems of reasoning – blending predictive analytics, governed automation, and agentic workflows directly into the tools they use every day. The journey typically progresses in phases: from assistants that augment work, to human-led agents that execute tasks, to human-led, agent-operated processes that run end-to-end under oversight.
Foundations first: the platform that makes AI valuable
Most manufacturers still wrestle with fragmented data, brittle processes and knowledge trapped in silos – the technology, process and knowledge dilemmas that stall impact. The antidote is a trusted, connected platform: Microsoft Dynamics 365 with Dataverse and Microsoft Fabric as the governed data backbone, giving finance a single source of truth and a safe runway for AI at scale. “Start small, grow fast” remains the right mantra: streamline data processes with purpose, then scale what works.
With that foundation, finance can quickly stand up cross-tenant analyses, ad-hoc decision support and forecasting, not in a lab, but in day-to-day operations.
Evidence of speed: modern ERP done differently
With Essentials for Finance and preconfigured templates for core parameters, CoA, tax and supply chain, manufacturers compress time-to-value and reduce risk, a pragmatic path to a clean base and rapid benefits.
Working with a global manufacturer, we unified finance across ten international entities on Dynamics 365 in just nine months – enabling real-time visibility, streamlined processes, and a platform built for future growth.
From copilots to agentic ERP: finance that can act
The most consequential shift is inside the processes. In Dynamics 365, embedded agents now help finance do the work:
- Procure-to-pay: predict supplier risk, autonomise PO-change handling, improve supplier performance.
- Record-to-report: increase cash-flow visibility, autonomise reconciliations, shorten the close.
- Quote-to-cash: invoice on time, reduce revenue leakage, streamline time and expense.
Consider the Supplier Communications Agent: it reads inbound signals, identifies stock-out risk, proposes mitigations, drafts communications and routes for approval, moving specialists from reactive firefighting to controlled, higher-value decisions. Crucially, humans stay in the loop and can dial up autonomy as confidence grows.
This is the practical difference between “AI that informs” and AI that operates: finance professionals remain accountable, while agents shoulder repeatable tasks and keep processes moving.
Avoiding the pitfalls that quietly kill ROI
Projects most often slip not on vision, but on change, data and testing: under-invested adoption, underestimated data cleansing, and insufficient test planning for continuous updates. Shifting to intelligent test automation typically cuts testing/QA costs by 60%, accelerates ERP release validation 4× and delivers >200% ROI by year three, while de-risking OneVersion updates.
Accelerators that compress time-to-value
To deliver pace with control, a proven framework is key. Hitachi Solutions Essentials brings together decades of implementation experience into a preconfigured, structured approach that accelerates Dynamics 365 projects and reduces cost. It combines methodology, data templates, ISV solutions, Power BI reporting, and a best-practice process library to help manufacturers achieve rapid, consistent implementations.
Alongside Essentials, Hitachi Solutions offers a suite of accelerators purpose-built for manufacturing transformation, including:
- Test Builder Framework – automated testing for repeatable quality and OneVersion readiness.
- Flow Builder – process modelling and standardisation using Universal Process Notation (UPN).
- Integration Accelerators – simplifying interoperability with multi-cloud connectors.
- Data Migration Accelerator – enabling clean, secure, and efficient data migration.
Together, these tools enable faster delivery, lower risk, and measurable ROI – the foundations of transformation at speed.
A structured path to AI at scale
Beyond accelerators, Hitachi Solutions supports manufacturers through a structured AI journey:
- AI Ignition: identify and validate high-value use cases quickly.
- AI Launch: turn proven concepts into secure, production-grade AI services.
- AI Scale: embed AI enterprise-wide with governance, ethics, and change management by design.
This framework ensures AI adoption delivers tangible outcomes, not just experimentation.
What “Frontier” looks like in finance and operations and how to get there
Frontier Firms are AI-operated, human-led organisations where finance and operations teams collaborate seamlessly with digital agents. Copilot becomes the interface for this collaboration – connecting people to data, insights, and actions across the enterprise.
In finance, Copilot acts as a strategic partner, generating forecasts, surfacing anomalies, and autonomising reconciliation and reporting. In operations, it orchestrates intelligent workflows; automating quality control, RFQ processing, scheduling, and supplier communications. Together, these capabilities turn ERP into a living system that listens, learns, and acts alongside its users.
Leaders who are getting this right share four habits:
- Value before novelty. Focus on a small number of high-impact use cases, such as shortening the close cycle, improving forecasting accuracy, or reducing downtime and measure the outcomes.
- Treat data as a product. Build a governed pipeline from ERP to analytics so both finance and operations can trust, share, and reuse data – the foundation for every credible AI programme.
- Make autonomy safe. Keep humans in the loop where it matters, allowing Copilot and agents to handle routine steps while your teams oversee exceptions and strategic choices.
- Engineer adoption. Treat change and testing as critical disciplines. Equip teams with copilots and agents they can interrogate, correct, and control, building confidence as autonomy increases.
The competitive edge: speed to decision, speed to action
Macro data points are compelling: AI is projected to contribute materially to UK GDP growth; global CXOs expect meaningful productivity uplift; and the UK AI market is set to expand significantly, but outcomes hinge on where you apply AI and how you embed it. Finance is a natural proving ground precisely because the processes are repeatable, measurable and tightly governed.
The destination isn’t finance without people. It’s finance with leverage: people set direction, agents operate the routine, and the platform keeps you compliant, connected and fast.
Bottom line: Manufacturers that move from automation to autonomy, on a modern ERP/data foundation, with accelerators and human-in-the-loop controls, will out-learn and out-execute the market. That’s how finance earns its place as the engine of transformation, not just its scorekeeper.
Hitachi Solutions: your partner in intelligent manufacturing
Hitachi Solutions has extensive experience helping manufacturers harness AI to modernise finance and operations, from automating RFQ processes and sales order management to enabling data-driven forecasting and intelligent scheduling. With deep expertise in ERP, data, and AI transformation, we help organisations move confidently from proof of concept to production-ready autonomy.
Recognised as part of Microsoft’s 2025–2026 Inner Circle for AI Business Solutions, Hitachi Solutions is among a select group of global partners acknowledged for excellence in driving innovation with Microsoft technologies. Speak to our experts to explore how AI can transform your finance and operations, or find out more about how we’re supporting manufacturers on their journey to intelligent enterprise.
Ready to move from automation to autonomy?
Speak to our experts to explore how AI agents and Dynamics 365 can help your finance and operations teams work smarter, faster, and with confidence.
David Singh
, Head of ERP, Hitachi Solutions
David Singh brings over 20 years of experience leading ERP transformation programmes in the manufacturing sector. He specialises in delivering Dynamics 365 solutions that optimise operations, enhance supply chain performance, and drive business agility. David has successfully led global rollouts and post-merger integrations, helping manufacturers modernise their ERP platforms for long-term growth.
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