The Evolving Role of the Accountant

  • AAT’s “Securing Future Relevance to 2030”: modernising the profession, repositioning from traditional “number crunching” to strategic business partners.
  • Technology’s role in elevating accountants’ purpose by automating routine tasks, freeing them up to focus on high-value business advice.

The Intersection of Artificial Intelligence (AI), Sustainability, and the Future of Workforce Transformation

  • The macro outlook that matters to firms: where growth, inflation, interest rates and regulation are heading—and the knock-on impact on client demand and risk.
  • Why advisory is slowing (and what replaces it): shifting client buying behaviour, procurement pressure, and how to reposition offers to protect margin.
  • Pressure points and opportunity zones: where fees will compress (commodity work) versus where demand will rise (cashflow, restructuring, tax/ risk, AI/ ESG assurance, sector specialisation).

From Relationships to Revenue: The CRM Advantage

  • CRM as an AI revenue engine: moving from a contact database to “client telemetry” that continuously monitors signals from practice/audit systems.
  • Automatic opportunity detection: surfacing cross-sell/advisory needs (e.g., ESG, R&D tax) from existing client data, before partners go looking.
  • Solving the doer-seller bottleneck: a blueprint for scalable business development that reduces reliance on partner time and replaces cold outreach with automated, timely engagement.

 

The Hidden Costs you can Eliminate with Automation

  • Post‑MTD reality check: what actually changed after implementation, what worked, what broke, and the new compliance “normal.”
  • Where firms still bleed money: persistent cost drains, rework, chasing clients, manual entry, onboarding delays, partner bottlenecks.
  • Next-wave automation wins: the tools and workflow changes that build on MTD to cut friction, speed delivery, and protect margin.

 

The Data Foundation Can’t Be Ignored for AI in Audit

  • AI promises to transform audit, but to deploy it effectively firms must not skip the data layer.
  • Why independent, direct-source verification is the prerequisite for any AI capability worth trusting.
  • What good looks like in 2026 audit ops:
    • Reliable, direct-from-source data as a foundation
    • Standardised engagement workflows
    • Real-time oversight across teams
    • Meaningful, independently verified, AI-powered insights.