Event

Capgemini at Responsible AI Summit 2026

Date: 21st – 22nd September, 2026
Where: Hilton London Syon Park, UK

From AI Governance to AI Control: Building the Control Plane for Trusted AI

As organisations move from experimentation to enterprise-wide adoption of AI and autonomous agents, governance can no longer be treated as a standalone framework or compliance exercise. It must become an operational capability embedded directly into how AI systems are designed, deployed and managed.

Capgemini believes the next era of Responsible AI is about turning those principles into real-time controls that guide AI behaviour, manage risk and provide continuous oversight across the entire AI lifecycle.

Key focus areas:

We transform Responsible AI commitments into policy-driven controls that govern AI systems and agents in real time, embedding trust, oversight and accountability across the AI lifecycle.

We combine governance expertise with deep AI engineering capability to implement the control plane that orchestrates policies, risk controls and human oversight across AI applications, copilots and autonomous agents.

We enable organisations to accelerate innovation while maintaining confidence that AI and agentic AI systems operate safely, responsibly and in line with enterprise intent.

Our Offers

We design the policies, governance frameworks and decision-making structures that define how AI is governed across the organisation.

Clear governance establishes the foundations for responsible AI adoption by replacing fragmented AI decision‑making with clear accountability and compliance expectations. Well‑designed AI governance creates the framework that accelerates enterprise‑wide responsible AI adoption.

We design and embed AI risk management and assurance capabilities that enable organisations to identify, assess, mitigate, and monitor AI risks across 3 lines of assurance.

AI introduces new categories of risk. Our approach helps teams to proactively identify and control AI risks before they escalate into regulatory breaches, operational failures, or reputational damage. This provides confidence to leadership, regulators, and users that AI is managed responsibly.

We embed AI governance requirements into day‑to‑day delivery by equipping leaders and teams with the skills, confidence and behaviours to use AI safely, compliantly and effectively.

Governance succeeds or fails through people. Frameworks and controls only deliver value if people have the knowledge, skills and confidence to apply them. Building organisational capability is essential to creating a sustainable culture of responsible AI adoption.

We embed responsible AI requirements into day‑to‑day delivery by equipping leaders and teams with the skills, confidence and behaviours to use AI safely, compliantly and effectively.

Governance frameworks only deliver value if people have the knowledge, skills and confidence to apply them. This capability gap is often underestimated and often the reason AI governance fails in practice.

Demo

Turn AI Ambition into Governed, Real-World Solutions

At our booth, we’ll showcase how organisations can move from AI concept to deployment with confidence, using agentic workflows designed to deliver measurable business outcomes.

Using industry-specific blueprints, the platform can rapidly define use cases, from credit underwriting agents to sector-specific AI assistants tailored to business needs.

As the solution takes shape, the platform automatically assesses governance, transparency, compliance and risk considerations. It generates a Compliance Index that highlights potential concerns, explains why they matter, and provides a clear action plan to address them.

You’ll see how organisations can experiment with AI at speed while maintaining the controls needed for responsible, transparent and compliant deployment.

Key capabilities showcased:

  • Assess compliance, transparency, and governance risks
  • Leverage industry-specific AI blueprints and use cases
  • Generate a Compliance Index with actionable recommendations

Find Capgemini at Responsible AI 2026

Our expert speakers will be discussing “Beyond the Framework: Embedding Trust into AI“ at the Technology Track on Monday 21st September, 11:00am – 11:30am.

The challenge is no longer defining principles but embedding them into delivery. Organisations have moved beyond governance frameworks and are now embedding operational capabilities such as AI risk management, monitoring, model assurance and run time controls directly into technology delivery. This panel discussion will explore the controls that actually work, how to remain in control of agents, and what organisations need to do now to prepare for the next wave of AI adoption.

Our experts will also be on hand at the booth to demonstrate how we can help you transition to Responsible AI practices.

Meet our speakers

Elisa Sai

Vice President, Analytics and AI, Capgemini Invent

Elisa is a VP in within the Capgemini Analytics & AI Invent team and leads the Healthcare Analytics portfolio. She has a number of years of experience in delivering data led transformation programmes in the public sector and healthcare industries.

Carolina Sanchez Hernandez

AI Governance and Assurance Lead, Capgemini Invent 

Passionate about AI Ethics, AI Assurance and the Future of Human-Machine interaction with human focused approaches. Specialist on AI Trustworthiness and AI Assurance to advance operationalisation of AI Assurance processes. She thrives in innovative environments, working with multidisciplinary teams towards finding solutions to current and future challenges. She has lead and been involved in research and development projects focusing on new technologies and especially Machine Learning and AI for more than 20 years.

Steven Hodson

Automation & Artificial Intelligence Lead for the National Armaments Directorate, UK Ministry of Defence

Dr Paul Dongha

Head of Responsible AI and AI Strategy, NatWest Group

Elisa Sai

Elisa Sai

Vice President, Analytics and AI, Capgemini Invent

Insights

Capgemini Research Institute

Rise of agentic AI

capgemini-research-institute capgemini-research-institute
Generative AI in organizations 2025 web banner
Point of view

Worlds apart: How world models and context will enable the next generation of trustworthy AI
Capgemini Research Institute

Harnessing the value of AI: Unlocking scalable advantage

capgemini-research-institute capgemini-research-institute

Related articles

Trusted AI

Capgemini's flagship positioning around trusted AI, guardrails, governance, bias mitigation, monitoring and scaling AI responsibly.

Read more

AI safe systems and technologies

Capgemini's collaboration with the World Economic Forum focused on governance, accountability, standards and safe adoption of agentic AI systems.

Read more

Contact us

* Mandatory field

First name is not valid.
Last name is not valid.
Email is not valid.
Company is not valid.
Job title is not valid.
Use right arrow keys to slide, or drag right with your finger. When you reach 100 percent, the form is submitted.

We are sorry, the form submission failed. Please try again.