Two practical offers: hands-on workshops for non-technical teams, and custom automation that removes repetitive work and creates capacity.
Your best people are still doing work a machine can handle — report generation, inbox triage, data cleanup, and repetitive follow-up. Every hour reclaimed goes back into work that actually moves the business forward.
Manual work breeds inconsistency. Automation applies the same logic every time — fewer missed steps, fewer transcription mistakes, and more reliable output across the board.
The payoff is not just efficiency. Teams use recovered time to respond faster, support more customers, take on new initiatives, and finally make progress on work that kept getting pushed back.
The tools are finally usable by non-technical teams, and competitors are already adopting them. This is the moment to build internal advantage before “AI-enabled” becomes the baseline.
A focused session for leadership teams that want a realistic view of AI adoption, where the ROI is, and how to get started without hype. Built for decision-makers who need clarity before they invest.
A hands-on workshop for business professionals who want practical AI skills without technical complexity. Teams use real business examples live, learn a simple prompting framework, and leave with clearer workflows they can apply the next day.
For individuals or small groups who want direct help applying AI to their own work. We focus on your tools, your tasks, and your goals so progress happens inside real workflows, not abstract demos.
Market research, competitive analysis, feature mapping, PRD authoring, and full GUI mockup — compressed into weeks using AI tools and vibe coding. The resulting dashboard was detailed enough that the development team said it would save them 70% of the time they'd normally spend interpreting PRD features into actual visualizations.
"What used to take a team of engineers years to spec and build, a single person with the right prompts produced in weeks. Equal parts terrifying and exhilarating — and it permanently changed how I think about what's possible."
Takes a standard employee census file and instantly calculates employer match costs, runs compliance checks, and surfaces rich visualizations of plan participation, contribution breakdowns by age band, gender pay gaps, and catch-up eligibility.
"This analysis used to take days and usually required an actuary. Now it's instant, and anyone on the team can run it. We've never seen anything like it."
A company with years of accumulated support tickets had no visibility into why the same failures kept repeating. Automated analysis scraped and classified 18,700 tickets, surfacing the top 10 fault causes, top 10 resolutions, and median fix times by category — revealing that 63% of tickets were high-priority, hardware replacement took 8+ days to resolve, and nearly 3,000 tickets per year could have been closed with a simple reboot. The findings were translated into a proactive prevention tool and actionable playbook that reduces ticket volume before issues occur.
A finance team spent time each week manually building a payment tracking report — combining client payments, highlighting new activity, flagging refunds, and resetting at month end. A custom automation now generates the full formatted report in seconds: cumulative month-to-date totals, green highlighting for new payments, and a dated tab added automatically on each run. Packaged as a one-click installer that non-technical staff can deploy themselves.
A law firm needed to extract and classify information from thousands of pages of documents. What previously required weeks of paralegal time was condensed into hours, with higher accuracy and a full audit trail.
Sales reps were spending hours each week customizing proposals, decks, and one-pagers for different accounts. Automated generation now produces tailored collateral instantly, letting the team spend time selling instead of formatting.
See additional examples spanning hiring, patents, GTM decks, proposal workflows, and other internal automations.
View more examples →Every engagement follows the same low-risk structure — high clarity up front, real deliverables at every stage, no long retainers before you've seen what's possible.
I spent 30 years at Intel leading product marketing, sales, and business development — including running AI partnership programs that drove adoption across dozens of enterprises. I've sat in the room with the people building the technology and the people trying to use it, and I've learned that the gap between the two is where most projects fail.
Today I work directly with companies as an individual consultant. That means you get senior attention on every project, not a junior team handed the work after the pitch. I move fast, I work independently, and I build things that last after I leave.
I'm also a Venture Partner at the Oregon Venture Fund, a guest lecturer at Stanford, and a mentor at the Founders Institute — which means I stay close to what's genuinely working in AI right now, not just in theory.
Seasoned product and technology leader with 30+ years at Intel. Led AI partnership programs, drove foundational Wi-Fi innovation, and now helps companies turn automation from a buzzword into a business advantage.
Start with a free 30-minute conversation. Tell me the three tasks your team spends the most time on — and I'll tell you honestly which ones are worth automating and which aren't.