3 April 2026

Leadership in the Agentic AI Era: Cutting Through the Hype. Toronto, April 29.

Leadership in the Agentic AI Era: Cutting Through the Hype. Toronto, April 29.

Kablamo is hosting Leadership in the Agentic AI Era: Cutting Through the Hype, an intimate peer-led dinner for executive technology leaders in Toronto on April 29 at Cibo Wine Bar, King West. Seating is limited. To join the table, reach out at kablamo.com.au/contact.

Leadership in the Agentic AI Era: Cutting Through the Hype

Toronto. April 29, 2026. Cibo Wine Bar, King West.

Kablamo is bringing its AI Round Table series to Canada for the first time. This is the fifth session in a series that has run in Sydney and Melbourne since late 2025, and the first outside Australia.

The format is deliberate. A small group of executive technology leaders around a dinner table. No presentations. No vendor pitches. A candid, peer-led conversation about what is actually happening inside their organisations as they navigate the shift to agentic AI.

Allan Waddell, Kablamo's Founder and Co-CEO, will join the table. Allan has been testing the limits of AI and agentic solutions for years and brings a practitioner's perspective on what works, what breaks, and what nobody talks about on stage.

Seating is intentionally limited. Reach out to join the table.

Leadership in the Agentic AI Era


What previous sessions have surfaced

The Round Table series has now run four times across Australia. The conversations have been off the record, but the patterns that emerge are worth sharing. Here is what technology leaders at some of Australia's largest enterprises are dealing with in early 2026.

The people best placed to lead adoption are the last to move

The observation that kept surfacing across sessions: there is an inverse relationship between someone's depth of expertise and their willingness to use AI in that domain. A senior developer who uses Claude to plan a holiday will hold it to a completely different standard the moment it touches their codebase.

"People are not adopting it because it helps the business. They are adopting because it helps them. If you cannot reach them at a personal level, there is a pushback."

The organisations making progress have stopped trying to drive adoption from the top. They are designing for individual benefit first.

AI-assisted commits are the new baseline

One organisation shared that AI-assisted commits now account for 40 to 60 per cent of code written. Their QA function went from a full team to two people. Production incident rates held steady. A feature rebuild that would have taken two months was completed in three days.

The constraint is no longer writing new code. It is removing old code, because AI cannot yet hold an entire legacy codebase in context well enough to do large-scale refactoring safely. The practical response has been architectural: build new capabilities as small, independent services that the AI can reason about, then gradually retire the legacy.

Sixteen agents and nobody governing them

One participant from a major cloud provider was running sixteen personal AI agents alongside their daily work. Another had a dedicated Slack channel for bots, quarantined from human channels. A third raised the security implications: agents can interact with each other in ways that create data leakage paths nobody anticipated.

"How do you govern a tsunami of agents that are exploding internally?"

Nobody had a complete answer. The analogy the room kept returning to was shadow IT in the 1990s. Agent proliferation is the same pattern at higher speed and higher stakes.

The measurement problem nobody has solved

Most organisations have committed to AI efficiency targets. Almost none have a baseline to measure against. The board wants 50 per cent improvement. Engineering is deploying tools. But when the review comes around, nobody can demonstrate the gain, because the efficiency that materialises tends to create new demand rather than reduce cost.

One transformation specialist put it bluntly: the finance function will be a tenth of its size in ten years. CFOs do not enjoy hearing that.

Some companies may not need to exist

The sharpest moments came when the conversation moved from efficiency to existence. Train companies did not become airlines. Traditional retailers did not build the winning online stores. One retailer at the table confirmed that ChatGPT is now in their top referral sources. The trajectory is clear.

The divergence in the room was not optimism versus pessimism. It was between people who think awareness is sufficient and people who think it is not.


Why Toronto

The Canadian market presents its own version of these questions. Enterprises are earlier in the adoption curve. The mid-market is underserved. The regulatory landscape differs. But the underlying tension is the same everywhere: between organisations that are rebuilding around intelligence as a core capability and those still bolting it onto the side.

The Toronto session follows Google Cloud Next, bringing together leaders who are working through these problems in real time.


Join the table

Leadership in the Agentic AI Era: Cutting Through the Hype April 29, 2026 Cibo Wine Bar, 522 King St W, Toronto, ON Milano Room

This is not a conference. It is a dinner for a small group of peers. Seating is limited and the table is intentionally designed to spark candid dialogue.

Reach out to reserve your seat


The Kablamo AI Round Table is a private, off-the-record forum for technology leaders. Previous sessions have been held in Sydney and Melbourne with CTOs, VPs of Engineering, Heads of AI, and transformation executives from major retailers, financial services firms, property platforms, cloud providers, and investors.