16 April 2020

Dream Big. Then Build Systems That Can Deliver | Leadership Summit 2020 Archive

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Key topicsUse AI as a Diagnostic, then Turn Findings into Savings and ControlMany owners fear AI will expose their gaps, but that exposure is what makes it useful. Why automate a process that nobody can describe on paper? Operational improvements have brought overtime costs down by 90%. In practice, Trehan found that you cannot automate what you have never written down. An office manager writes down the daily steps for the first time and finds a few workarounds nobody had mentioned. Document how work really happens this week, before you switch on automation. Clear findings first, and the savings and tighter control come with them.Will Your Next Hire Work the Old Way? AI Readiness for Dental Service OrganizationsDental service organizations blame new hires for resisting AI, but outdated processes are the real cause. What do new graduates expect from their first job? Over ten years of building offices shows one pattern: new tools arrive before the process does. Building practices under different brands taught Trehan that staff adopt what they understand. Take a front desk that switches to a new scheduling tool, then runs the old booking rules by hand. Map how each booking really moves through the office before adding any tool. Ready processes first, and your next hire will expect AI as the normal way of working.The Hidden People Cost of Rushing AI AdoptionMost leaders assume resistance is a training problem, but it often signals missing governance and roles. Why would people push back on AI when nobody has told them what their role becomes? In one 2025 survey, 45% of respondents named speed to market as the main obstacle to governance. Leading change across several sites taught Trehan that people resist what they were never shown. Imagine a team handed a new AI assistant, then finds that nobody agreed who checks its answers. Name one owner for each AI task before the rollout starts. Clear roles and rules keep AI adoption moving, and people stop paying the hidden cost.View all topics →

About Trehan Stenton

Trehan Stenton, podcast guest

AI Integration & Change Leadership Advisor

$4M Dental group he built and ledADOPT Creator of the AI adoption frameworkMBA, PMP, CCMP Business, project and change credentials90% Cut in overtime costs delivered

AI rarely fixes a broken business process - it exposes it.

Trehan Stenton helps growing organisations turn AI ambition into practical, measurable business improvement.

As the founder of AI Integration Partner, Trehan works with leaders at the point where many AI initiatives begin to stall: after the excitement of experimentation, but before the technology has been successfully embedded into everyday operations. His approach starts with a deceptively simple question: are the processes, priorities and people inside the business actually ready for AI?

Trehan’s perspective has been shaped by a decade of building and growing businesses in Australia, including establishing three offices across three distinct brands. He has also built and managed a three-location dental group generating $4 million in annual revenue, where he led change across a multi-location operation to drive employee engagement, strengthen compliance and sharpen the focus on patient experience. His broader experience spans healthcare, professional services, finance and manufacturing, with operational improvements including a 90% reduction in overtime costs, increasing compliance from 20% to 95%, and the recovery of $60,000 a year through finance-process redesign.

Through his ADOPT methodology, Trehan brings together AI readiness, leadership alignment, governance, workflow redesign and human-centred change so organisations can understand where they are today, decide where they want to go, and bring their teams with them.

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