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Cortex Signals

Cortex Reply

Cortex Signals is the podcast from Cortex Reply, the AI-native consultancy helping organisations turn AI ambition into real business outcomes.

Hosted by Sanjay Dandeker, it brings together practitioners, architects, and AI specialists to discuss agentic AI, AI-driven service delivery, operational efficiency, FinOps for AI, governance, optimisation and legacy risk.

Taking an architecture-led view, episodes follow the full journey we deliver for clients, from strategy and data foundations to governance and advanced AI and agentic capabilities in production.

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  • 3 episodes
  • Avg 18 min
  • English
  • S1 · E3
    August 23 · 22 min

    FinOps and AI From Cost to Value (part 1)

    What is FinOps, and why is AI breaking the old rules for tracking technology cost? Sanjay Dandeker talks to Alice Keal and Charmaine Fong about centralised versus decentralised FinOps, the FinOps Foundation's shift from cost to value, and how token-based billing and fast-moving AI model lifecycles are reshaping the discipline. Part 1 of 2.

  • S1 · E2
    June 15 · 17 min

    How AI Agents are Transforming Customer Experience (part 2)

    In part two of this conversation, Sanjay Dandeker, Matt Hull and Josh Prout go beyond the basics and into the operational detail of deploying AI in customer experience. They discuss why testing AI against real customer data is essential, how deep observability tools reveal the reasoning behind AI decisions, and why knowledge management is consistently underestimated by organisations starting their AI journey. The panel also explores how human roles are evolving, what the next wave of AI capabilities looks like from proactive outreach to auto channel switching, and where the technology could take us in five to ten years.

  • S1 · E1
    May 12 · 15 min

    How AI Agents are Transforming Customer Experience (part 1)

    In this debut episode of Cortex Signals, host Sanjay Dandeker is joined by Matt Hull and Josh Prout to explore how AI agents are transforming customer experience. The discussion covers why the transformation of customer experience is one of the strongest use cases for AI, how organisations can move beyond simple containment metrics, and why trust, context, and interaction history are critical to success. They also reflect on insights from the Customer Success Collective Summit in New York, including policy drift, AI governance, and the growing importance of continuous learning systems in AI-driven service environments. Key themes include: Why CX is a leading area for AI adoption Moving beyond containment ratios to meaningful outcomes The role of memory, context, and contact history in AI agents Building trust in AI-driven customer interactions How policy drift is shaping continuous improvement in AI systems Subscribe now to never miss an episode.

Showing 1–3 of 3 episodes