Webinar Description
Key Takeaways
- LinkedIn Live session exploring how organisations can convert AI tool access into measurable return on AI investment
- Hosted by Michael Burch and presented by Security Journey
- Addresses the gap between AI adoption and actual business value realisation
- Covers workflow redesign, hidden adoption costs, and building AI-ready teams
- Relevant for business leaders, operations managers, and teams implementing AI at scale
Introduction
Security Journey is hosting a LinkedIn Live session on 16 July 2026 focused on the practical challenges organisations face when attempting to derive genuine business value from artificial intelligence investments. Presented by Michael Burch, the session addresses a growing concern across industries: while AI tool adoption has accelerated dramatically, many organisations struggle to translate access into consistent, measurable outcomes. The discussion targets business leaders, operations managers, and teams responsible for implementing AI initiatives who are finding that deployment alone does not guarantee return on investment.
About This Event
This LinkedIn Live session takes place on 16 July 2026 at 1:00 PM Eastern Time. Michael Burch will lead the discussion, examining what distinguishes organisations that successfully generate value from AI from those that experience increased rework, inconsistency, and operational risk. The format allows for real-time engagement with the presenter through the LinkedIn platform.
The Gap Between AI Access and Business Value
The central premise of this session challenges a common assumption in enterprise AI adoption: that providing teams with AI tools will naturally lead to productivity gains and competitive advantage. In practice, many organisations discover that without appropriate workflows, review processes, and team preparation, AI implementations can introduce new problems rather than solve existing ones.
The concept of return on AI investment, sometimes abbreviated as ROAI, has emerged as a critical metric for organisations evaluating their AI programmes. Unlike traditional software deployments where value can often be measured through efficiency gains or cost reduction, AI implementations require more nuanced assessment. The quality of outputs, the consistency of results across different users, and the downstream effects on existing processes all factor into whether an AI investment delivers genuine value.
This session will explore why AI tools alone do not create ROAI, and why the readiness of the teams using those tools determines success or failure.
Rethinking Work Around AI Capabilities
One of the primary discussion topics concerns how organisations need to fundamentally reconsider their workflows when integrating AI capabilities. Simply layering AI tools onto existing processes often fails to capture the potential benefits and can create friction between human workers and automated systems.
Effective AI integration typically requires examining which tasks benefit most from AI assistance, where human oversight remains essential, and how handoffs between automated and manual processes should be structured. Organisations that approach AI as a direct replacement for existing workflows, rather than as a catalyst for workflow redesign, frequently encounter disappointing results.
Hidden Costs of AI Adoption
Beyond licensing fees and infrastructure requirements, AI adoption carries costs that organisations often underestimate during planning phases. The session will address these hidden costs, which can include increased time spent reviewing and correcting AI-generated outputs, inconsistency in results that creates downstream quality issues, and security or compliance risks that emerge when AI tools are deployed without adequate governance frameworks.
Rework represents a particularly significant hidden cost. When AI outputs require substantial human correction, the efficiency gains that justified the initial investment can evaporate. In some cases, the total effort required to produce acceptable results exceeds what would have been needed without AI involvement. Understanding where these costs arise and how to mitigate them is essential for organisations seeking genuine value from their AI programmes.
Characteristics of AI-Ready Teams
The session will examine what AI-ready teams look like in practice. This extends beyond technical proficiency with specific tools to encompass broader organisational capabilities. AI-ready teams typically demonstrate clear understanding of when AI assistance is appropriate and when it is not, established processes for reviewing and validating AI outputs, awareness of the limitations and potential failure modes of the AI tools they use, and integration of AI workflows with existing quality assurance and compliance requirements.
Building these capabilities requires deliberate investment in training, process development, and cultural change. Organisations that treat AI readiness as a technical problem to be solved through tool selection alone often find themselves unprepared for the operational realities of AI-assisted work.
Who Should Attend
This session is relevant for several audiences within organisations pursuing AI initiatives. Business leaders responsible for AI investment decisions will benefit from understanding the factors that determine whether those investments generate returns. Operations managers tasked with implementing AI within their teams will gain practical perspective on workflow design and team preparation. Individual contributors working with AI tools may find value in understanding how their organisations can better support effective AI use.
The discussion is particularly timely for organisations that have already deployed AI tools but are questioning whether they are achieving expected value, as well as those in earlier stages of AI adoption who want to avoid common pitfalls.
Moving From Access to Value
The transition from AI access to measurable business value requires organisations to address multiple dimensions simultaneously. Technology selection matters, but it represents only one component of a successful AI programme. Equally important are the human factors: how teams are prepared, how workflows are designed, how quality is assured, and how risks are managed. This LinkedIn Live session offers an opportunity to explore these dimensions and consider how organisations can build the foundations necessary for AI investments to deliver on their promise.