AI Strategy & Execution
Most organizations are experimenting with AI tools. The ones pulling ahead are building a coherent strategy behind them — and giving their people the skills to put it to work every single day. That's where I come in.
What I do
A strategy that actually gets used
I work with leadership teams to move from "we should be doing something with AI" to a roadmap their people are genuinely excited to execute on.
01
AI Opportunity Audit
A structured look at where your business loses time, quality, and speed — and a prioritized map of where AI closes those gaps fastest. No hype, no bloat.
02
Strategic Roadmap
A 90-day to 12-month AI adoption plan with clear ownership, tooling decisions, and measurable milestones. Built to earn buy-in from leadership and adoption from the ground up.
03
Team Activation
Hands-on sessions, playbooks, and workflow redesigns that turn strategy into daily habits — so your team isn't just aware of AI, they're productive with it.
Built it, didn't just advise it
I built an AI-native platform from the ground up
Orgentis isn't a consulting framework I license — it's a SaaS product I conceived, funded, and shipped. I've lived the decisions around AI architecture, prompt engineering, workflow design, and change management from the inside. When I advise your team, that experience is in the room.
An AI-native operations platform built to help organizations run cleaner, move faster, and make better decisions with less friction.
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Designed AI-first workflows from day one — not bolted on after
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Built and managed a cross-functional product team
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Navigated model selection, prompt architecture, and UX for non-technical users
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Shipped iteratively with real customers giving real feedback
Case Study
From idea to published — faster cycle, higher frequency, compounding results.
Mid-Market Manufacturing · Western Canada
The situation
The ingredients were there. The system wasn't.
The client had real stories worth telling — customer wins, operational differentiation, team culture. What they didn't have was a way to turn any of it into consistent, on-brand content without it becoming someone's full-time job.
Posts lived in scattered notes. Drafts stalled in approval cycles. Employee advocacy existed only in theory — every repost required manual coordination with each person individually. Publishing was inconsistent, and the brand story wasn't compounding.
What we built
01
Notion Content Pipeline
Stage-based workflow (Brief → Draft → Review → Published) tied to strategic positioning pillars. AI prompts at every stage — including per-person repost copy generation.
02
Custom LinkedIn App
WYSIWYG preview, multi-format posts, calendar scheduling, shareable approval links, and a team amplification engine — pre-written repost copy delivered to each person at launch via automation.
The outcome
One post became a coordinated launch. Coordination cost dropped to near zero. Publishing cadence became sustainable. And the brand story started compounding with every post.
How I work
Here's how an engagement works.
01
Discovery & Diagnosis
The AI assessment comes first — always. It's a structured look at where you actually stand across strategy, people, tools, and culture. Most teams are surprised by what comes out of it. And that's the point — you can't build a roadmap off a guess.
02
Strategy & Prioritization
Once we know what we're dealing with, we figure out what to go after first. Not everything — the right things. Sized by real impact, sequenced so the early moves don't set you up to fail later.
03
Implementation & Activation
The gap between having a plan and actually using it is where I spend most of my time. I work directly with the people doing the work — playbooks, live sessions, workflow changes — until the new way of working is just the way of working. That takes time and it takes repetition.
04
Measure & Iterate
We set baselines before we start and check them after. What's working gets scaled. What isn't gets cut. No vanity metrics — only numbers that connect to something your business actually cares about.
