Productivity and Efficiency with Human-IA Collaboration

– Chairpersons welcome and opening remarks.

As organizations invest in intelligent automation, measuring tangible business value becomes critical. This panel will explore methodologies, KPIs, and frameworks to quantify the impact of automation initiatives—from cost savings and efficiency gains to revenue growth and risk reduction. Industry leaders will share real-world examples, discuss challenges in tracking ROI, and offer strategies to demonstrate measurable outcomes to stakeholders. Attendees will leave with actionable insights to assess, justify, and optimize the value of their automation projects.

True intelligent automation is not about bots, it’s about building a digital spine that connects strategy to execution. This session explores the broader relationship between process transformation and digitalisation, highlighting the importance of governance alignment, experience-led design, and change orchestration. Learn how leading organisations ensure automation initiatives reinforce enterprise standards rather than creating complexity.

Shadow AI isn’t a future risk; it’s happening right now. Employees across your organisation are pasting sensitive data into AI tools, generating code with security flaws, and deploying workflows with zero oversight. In this session, we’ll show how Tines gives every team a secure place to build with AI confidently, while security retains the visibility and control to govern it.

As AI moves from experimentation into everyday operations, many organizations are rethinking whether their most valuable automation should live in someone else’s cloud. This talk explores what it means to bring AI back in-house using open-source tools and a practical, engineering-first mindset.

We will look at how teams can build useful internal AI systems around document retrieval, knowledge access, task automation, and assistant-like tools that respect privacy, control, and operational constraints. It touches on Python-based development and on-premise agentic systems, while emphasizing architectural choices, trade-offs, and lessons learned from implementation.

Attendees will leave with a clearer picture of when in-house AI makes sense, what it takes to run it responsibly, and how open-source AI can support production-grade, transparent, and safe automation.

Intelligent Document Processing (IDP) is transforming how organizations extract, analyse, and act on unstructured data from documents. By combining Natural Language Processing (NLP) and Computer Vision, IDP enables automated understanding of text, images, and complex layouts at scale. This session will showcase real-world applications, from invoice processing to contract analysis, highlighting the technologies, workflows, and AI models that power efficient, accurate, and compliant document handling. Attendees will gain practical insights into implementing IDP solutions and maximizing their impact across the enterprise.

As organisations embrace intelligent automation, fragmented data and disconnected systems often limit the value they can realise. This panel explores how automation-first approaches can unify operational data into intelligent, AI-driven decision platforms. Industry leaders will discuss integrating enterprise systems, enabling end-to-end automation, creating a single source of operational truth, and using AI-powered insights to improve decision-making, efficiency and business outcomes.

Industrial automation is entering a new era. Traditional rule-based workflows and static process definitions are being replaced by AI-native orchestration platforms capable of understanding business intent and autonomously generating execution strategies.

This session explores how unified automation platforms are evolving into intelligent control planes that connect enterprise systems, warehouse operations, robotics, and human decision-makers. Attendees will learn how intent-based AI agents collaborate to design workflows, optimize operations, monitor performance, and continuously improve complex automation environments.

The presentation will demonstrate how digital AI companions are becoming the next generation of operational control towers—turning operational data into actionable decisions, enabling self-optimizing workflows, and creating a bridge between human expertise and autonomous systems.

Key themes:

• Unified orchestration platforms as the foundation for enterprise automation
• Intent-based AI agents creating and adapting workflows autonomously
• AI companions for operational control towers and decision support
• From software-defined operations to self-improving automation ecosystems
• The roadmap from Co-pilot solutions to fully autonomous agentic systems

We will gain an understanding of how no-code and low-code automation platforms are revolutionizing the way businesses approach process transformation. As organizations seek to enhance operational efficiency, reduce costs, and empower teams, these user-friendly solutions enable non-technical users to automate workflows without the need for extensive coding knowledge.

Participants will discover the key benefits of no-code/low-code automation, including faster deployment times, increased agility, and the ability to foster innovation across departments.

As organisations move from deterministic automation to AI-enabled workflows, governance can no longer be treated as a policy exercise that happens after deployment. Decisions, recommendations and automated actions increasingly pass between AI models, workflow platforms, operational teams and human approvers, creating new questions about accountability, escalation and control.

In this practitioner-led session, I will examine how organisations can operationalise responsible AI within enterprise automation. Drawing on experience across high-volume automation, regulated operations, digital-product delivery and AI governance, I will introduce a practical operating model for defining decision boundaries, maintaining meaningful human oversight, managing exceptions and producing evidence that automated systems continue to deliver their intended outcomes.

The session will explore where human intervention should occur, how responsibility should be allocated across product, technology and operational teams, and why conventional automation controls may be insufficient when AI introduces probabilistic decisions. Attendees will leave with a structured framework for scaling AI-enabled workflows while preserving transparency, auditability, operational resilience and accountable human judgement.