AI agents as strategic enablers

Transforming business operations through intelligent process automation

Cybersecurity evolution
  • 4 minute read
  • November 06, 2025

Why AI-driven automation is the cornerstone of operational excellence 

In Malta’s rapidly evolving business environment, organisations are under growing pressure to enhance productivity, reduce operational costs, and deliver superior customer experiences - all while navigating a dynamic regulatory and competitive landscape. At the forefront of this transformation is the shift from consumer-focused AI applications to sophisticated Enterprise AI solutions. Recent milestones, such as Salesforce’s Dreamforce 2025 or Google Cloud Next ‘25 unveiling of advanced AI-driven platforms, underline how trusted, scalable AI agents are now integral to enterprise operations worldwide. Maltese companies are beginning to embrace these intelligent process automation tools - autonomous AI agents that not only replicate repetitive tasks with speed and precision but also act as strategic enablers. By integrating AI agents into organisational workflows, businesses in Malta are unlocking new efficiencies, improving data-driven decision-making, and streamlining operations in ways that go beyond traditional automation, positioning themselves for competitiveness on both local and global stages. 

From rule-based automation to intelligent AI agents

While robotic process automation (RPA) has automated straightforward workflows for years, AI agents represent a leap beyond repetitive scripts. Reflecting this momentum, a PwC’s US May 2025 survey of 300 senior executives found that 88% plan to increase AI-related budgets within the next year due to agentic AI. Today, 79% report AI agents are already being adopted in their organisations, and among those, two-thirds (66%) confirm these agents are delivering measurable value through productivity gains.

Unlike static bots, AI agents bring emergent intelligence enabling them to:

Continuously monitor data, detect anomalies, and trigger timely actions. 

  • Example: In accounts payable, AI agents can automatically detect unusual invoice amounts or duplicate payments, alerting finance teams immediately to potential errors or fraud before payments are issued.

Analyse complex scenarios, devise optimal multi-step plans, and adjust strategies dynamically.

  • Example: For customer service, AI agents can evaluate a high volume of incoming queries, prioritise them based on urgency and complexity, and plan multi-step resolution workflows, routing issues intelligently to specialised teams or escalating when needed.

Execute tasks across multiple systems while learning from outcomes to improve future performance.

  • Example: In HR reconciliation work, AI agents can coordinate data updates across payroll, benefits, and employee records systems, learning from discrepancies to reduce errors and optimise onboarding processes over time.

This shift from passive automation to proactive operational orchestration delivers unmatched agility, efficiency, and value.

Replacing repeatable human tasks to drive operational impact

Routine tasks like data entry, validation, and report generation have long drained resources and introduced errors. Equipped with natural language processing, computer vision, and predictive analytics, AI agents autonomously handle such workflows, freeing teams to focus on strategic work. From automated customer service resolving queries, to intelligent document processing and dynamic workflow orchestration, these agents accelerate turnaround times, boost accuracy, and enhance compliance across sectors such as banking, healthcare, and manufacturing.

Accelerating adoption with scalable AI tools

Successfully deploying AI Agents requires more than just technology. It demands a strategic framework and robust infrastructure. Leveraging a powerful ecosystem of tools and platforms helps organisations harness this potential:

A unified orchestration layer enabling seamless management and governance of AI agents across platforms and business functions, ensuring scalability, security, and compliance.

An open-source framework integrated within Agent OS that enables collaborative “agent teams” to tackle complex challenges - driving internal accuracy improvements.

The cognitive engine powering AI agents with enterprise-grade large language models like GPT, facilitating natural language understanding and complex reasoning.

A Microsoft-enabled platform that simplifies and accelerates AI agent creation through low-code/no-code tools. It seamlessly integrates with Azure OpenAI Service and allows you to interlock AI agents with automation workflows, enabling end-to-end intelligent process orchestration within the same technology ecosystem.

A proactive solution embedding AI agents into ERP, CRM, and SCM systems to continuously monitor for and resolve operational inefficiencies automatically.

A portfolio of ready-to-use, API-driven AI capabilities - such as Vision, Language, Speech, Anomaly Detection, and Digital Assistant -designed to enable developers and businesses to quickly embed specific AI functions into applications without building models from scratch.

The broader, integrated AI and machine learning platform within Oracle Cloud that provides both prebuilt AI services and tools - including Data Science environments - for building, training, deploying, and managing custom AI models at enterprise scale. PwC integrates OCI AI Services to deliver secure, scalable, and comprehensive AI agent solutions across business functions.

Together, these tools form a critical foundation for intelligent automation, but scaling AI successfully requires a broader commitment, including strategic planning, organisational change management, governance, and ongoing skill development -beyond technology alone to truly realise a sustainable business advantage. 

A strategic path forward

Successful AI-driven automation starts with clear strategy and cross-functional alignment. Organisations should: 

1

Identify and prioritise high-impact, repetitive processes suitable for automation.

2

Align IT, operations, and business units to drive adoption and ownership.

3

Define measurable KPIs - cycle time reductions, error rate improvements, workforce redeployment - to track value.

4

Invest in change management and ongoing learning to sustain long-term benefits.

When thoughtfully integrated, AI agents unlock agility, reduce costs, and elevate service quality, making intelligent automation a foundational pillar of digital transformation.

How can we help? 

At PwC Digital Services Malta, we guide you on your AI automation journey, from strategic assessment and pilot design to full-scale deployment and governance. Whether you’re replacing manual workflows or aiming to scale AI agents enterprise-wide, we support you throughout to ensure tangible business outcomes. 


PwC Digital Services

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Andrew Schembri

Andrew Schembri

Digital Services Partner, PwC Malta

Tel: +356 7921 1355

Jake  Azzopardi

Jake Azzopardi

Senior Manager, Digital Services, PwC Malta

Tel: +356 7975 6974

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