If you run operations at an aerospace or defense company, you already know the pressure. Program schedules slip when a sole-source supplier misses delivery. Maintenance, repair, and overhaul (MRO) backlogs grow faster than technicians can clear them. Government contract modifications trigger cascades of manual rework across billing, compliance, and project controls. And through all of it, your teams are still making critical decisions on data that is already hours old. The systems your organization relies on were designed to record what happened, not to act on what is happening right now.

That is the gap the Autonomous Enterprise is built to close.

The pressure aerospace and defense companies face today

Aerospace and defense manufacturers operate at the intersection of extraordinary complexity and unforgiving accountability. Programs can span decades, involve thousands of suppliers, and are governed by some of the most demanding regulatory frameworks in any industry—from International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR) to defense acquisition standards and environmental health and safety (EHS) requirements.

Supply chain fragility - exposed by geopolitical disruption and single-source dependencies - forces procurement teams to react rather than plan. MRO backlogs grow as aging fleets demand more intensive maintenance while skilled technician capacity stays flat. Program management teams are under pressure to deliver more with less, yet the data they need is scattered across enterprise resource planning (ERP) systems, engineering platforms, and supplier portals that were never designed to work together. In addition, demand is outpacing capacity, primarily driven by rising global defense spending and air travel projections – pushing commercial aircraft and defense backlogs to historic highs and driving the need for increased efficiency and automation.

According to BCG (published June 2025, “ Three Truths About AI in Aerospace and Defense | BCG) ”, the A&D industry spent $26.6 billion on AI in 2024—approximately 3% of total revenue—growing at 9% compound annual growth rate (CAGR) to reach an estimated $44 billion by 2030. The urgency is equally clear: according to AIA and Accenture's 'AI in A&D' report (June 2025), 76% of A&D organizations see greater business potential from AI based on their experience over the past year alone, 87% plan to increase generative AI (GenAI) investment in 2025, and nearly 75% of industry executives expect AI-driven automation to significantly improve operations within the next few years.

What does 'Autonomous Enterprise' actually mean?

The term gets used broadly, so it is worth being precise. An Autonomous Enterprise is not about removing people from business decisions. It is about changing what people spend their time on.

Consider what happens today when a key A&D supplier misses a critical program delivery. A planner identifies the exception—perhaps hours later - then manually contacts the supplier, re-sequences production, notifies program managers, updates schedules, adjusts billing milestones, and loops in finance and compliance, each step in a different system. In an Autonomous Enterprise, AI agents detect the disruption the moment it registers, evaluate mitigation options across the supply network.  They determine optimal production resequencing—while taking into accounts regulatory constraints that may limit alternative supply sources—and simultaneously coordinate the response across program management, procurement, and finance—surfacing a recommended action to the decision-maker with a full audit trail intact.

At SAP we describe Autonomous Enterprise like this: people set the direction. AI executes.

This is not a futuristic concept—it is a structural shift in how enterprise software is designed, with specific implications for aerospace and defense companies running operations across program delivery, supply chain, MRO, government contracting, and aftermarket services. Learn more at SAP's Autonomous Enterprise vision here.

Why aerospace and defense is well-suited for Agentic AI

Aerospace and defense operations are high-stakes, process-intensive, and deeply regulated—the cost of a wrong decision is measured in mission readiness, safety and compliance exposure. This makes continuous, AI-driven optimization a structural advantage. Consider where autonomous agents can directly impact outcomes:

• MRO scheduling and technician briefing: Agents plan maintenance events, enrich equipment records, and brief technicians automatically—reducing manual coordination and improving asset availability.
• Program and project setup: Project Setup Agents automate program configuration and validation, accelerating time to contract execution.
• Supply chain exception management: Exception Management Agents monitor supply commitments continuously and trigger response/mitigation workflows the moment a disruption is detected.
• Strategic sourcing and supplier collaboration: agents assist procurement teams in evaluating supplier responses, ensuring regulatory and quality requirements, and managing sourcing decisions across complex, multi-tier supply networks—reducing manual effort in discovery and improving supply network resilience.
• Warehouse and distribution optimization: Warehouse Workload Optimization Agents balance labor and task allocation dynamically, improving throughput in spare parts fulfillment.

Each represents a real pain point for program managers, MRO directors, and supply chain leaders across defense primes and commercial aerospace manufacturers. The opportunity is to free experienced people from high-volume routine work so they can focus on decisions that require human judgment. SAP Industry AI extends each autonomous domain with the vertical process knowledge, data models, and regulatory logic specific to aerospace and defense.

What makes this different from earlier AI approaches?

Most aerospace and defense organizations have already invested in AI—a predictive maintenance tool here, a demand forecasting model there. The consistent frustration is the same: these tools improve one corner of the operation while leaving the bigger picture unchanged. The SAP Autonomous Suite is built on three foundations that matter for enterprise-scale deployment:

First - Deep process and industry knowledge

SAP has encoded more than 50 years of process intelligence into the AI layer, covering more than 120 mission-critical processes. Agents reason within the context of how the business actually runs—including program schedule dependencies, supply chain constraints, and MRO workflow logic.

Second - Semantically rich business data

SAP Business AI is built on a suite-wide semantic model covering more than 7.3 million data fields. Agents can simultaneously see the relationship between a supplier disruption, an open production order, a contract milestone, and a finance exposure—the cross-domain visibility that makes autonomous action possible in complex program environments.

Third - Enterprise-grade governance

Every AI action is auditable and traceable. For organizations operating under defense acquisition standards, EHS mandates, and program audit requirements, this is foundational, not optional. One hundred percent of AI workloads within the SAP Autonomous Suite are covered by certified controls—so governance becomes the reason organizations can move faster, not the reason they cannot.

Real results from aerospace and industrial manufacturing companies

The shift to autonomous operations is already underway. Companies in and adjacent to the aerospace and industrial manufacturing sector are demonstrating what is possible:

Aeropuertos Argentina 2000

Aeropuertos Argentina 2000, which operates Argentina's major airport network including eight Patagonian airports, implemented SAP Intelligent Orchestration to transform winter operations management. The AI-driven solution integrates real-time weather data, automates operational alerts, and optimizes resource allocation for runway safety—delivering a 45 tCO2e annual emissions reduction, a 16% reduction in direct operating costs, and a 90% reduction in administrative time.

Source: Aeropuertos Argentina - SAP Innovation Awards 2026

Komatsu America Corp.

Komatsu America Corp. deployed an AI-powered support assistant built on SAP Business Technology Platform (BTP) to transform IT service management across its KView platform. The solution handles common support queries, troubleshoots issues, and automates ticket submission—resulting in a 22% decrease in total incidents reported, a 90% reduction in end-user time spent reporting issues, and a 45% reduction in IT resolution time.

Source: Komatsu America Corp. – SAP Innovation Awards 2025

Tyrolit Group

The Tyrolit Group, a global manufacturer of grinding and cutting tools, implemented SAP Sustainability Control Tower to automate Corporate Sustainability Reporting Directive (CSRD) compliance across 48 companies. The solution automates emission factor mapping, integrates sustainability data with financial reporting, and enables detailed Environmental, Social, and Governance (ESG) tracking and scenario analysis—replacing a manual, error-prone process with a governed, audit-ready reporting system.

Source: Tyrolit Group – SAP Innovation Awards 2025

Where to start

For business leaders evaluating what the Autonomous Enterprise means in practice, the most important question is not 'How much AI should we use?' It is 'Where in our value chain is the gap between signal and action costing us the most?'

That might be the lag between a program schedule update and the moment a supplier exception is first flagged. It might be the time lost setting up and monitoring new programs manually before contract execution can begin. It might be the quality control process that still depends on engineers manually correlating inspection results, non-conformance records, and corrective action workflows across systems.

SAP Cloud ERP and the SAP Autonomous Suite help aerospace and defense companies identify those gaps and address them systematically - not with isolated point solutions, but with an integrated approach that compounds value across the full operation. Explore SAP's aerospace and defense solutions to understand how the Autonomous Enterprise applies to your specific value chain.

The aerospace and defense industry has always been defined by its ability to manage extraordinary complexity with precision, discipline, and accountability. The next wave of competitive advantage belongs to organizations that can run those same demanding operations intelligently, autonomously, and at scale.