SEOD. The independent practice where I treat AI as operating infrastructure.
Operating prompts I publish, dashboards I build for multi-unit operators, workflow architecture I deploy with clients. The practice that proves the operating method ports to digital.
The practice
SEOD is the independent advisory and operating platform I have run for ten years, supporting founder-led and multi-unit operators across operations, growth strategy, unit economics, AI-enabled workflow transformation, and executive coaching. Clients buy three things: operating prompts other operators actually use, dashboards that survive Monday morning, and workflow architecture that turns marketing claims into operating-team trust. 200+ campaigns delivered above ROI across industries and channels.
The thesis
Most operating consultants sell strategy decks. Most AI consultants sell automations that nobody on the operating team trusts. SEOD sells the third option: AI deployed as operating infrastructure rather than as a side experiment. The clients who hire me are the ones who have either (a) tried AI consulting and ended up with tooling that doesn't change the way the operating team works, or (b) tried operations consulting and ended up with a deck that doesn't survive the first contact with reality.
The discipline that makes this work is the same discipline that runs in my corporate engagements. Strategy never leaves the floor. Execution never leaves the spreadsheet. Every campaign mapped to unit economics. Every dollar tied to a margin target. Every AI workflow tied to a specific operating metric it has to move.
What the practice delivers
Operating prompts published Mon, Wed, Fri
The most visible artifact is the prompt library I publish on LinkedIn on a Monday-Wednesday-Friday cadence. Not generic ChatGPT advice. Specific perspective-shifting prompts for ops leaders. Things like:
These prompts work because they reframe the question rather than just processing inputs. Operators use them because they're built for the kinds of decisions operators actually face: contracts, dashboards, plans, hires, pricing, escalations.
Dashboards that survive Monday morning
The dashboards I build for multi-unit operators are designed for one specific test: a senior operator glancing at them on a Monday morning and being able to tell, in under a minute, what needs operating attention this week. Not "what happened last week." What needs attention this week. The difference is the entire point.
Workflow architecture that earns operating-team trust
The deeper work is the workflow architecture: building the AI-powered processes that the operating team actually deploys. Donor-outreach prompts. Inbound-lead triage. Vendor-contract reviews. Compliance-variance audits. Performance-marketing campaign briefs that the operations team can audit. The constraint that makes it work: the AI workflow has to be auditable by the human who deploys it. Black-box automations are operating debt. Glass-box AI is operating leverage.
What I've delivered
Over the life of the practice, the operating record is over two hundred campaigns delivered consistently above ROI across industries and channels. The clients renew because the work moves the metric they hired me to move, not because of the slide deck. The prompts get adopted by other operators because they reframe questions rather than just generating outputs.
Client roster · 17 engagements across 10 years
Grouped by category. Each engagement mixes some combination of operations (SOPs, labor, COGS, P&L, compliance), sales/marketing (SEO, GBP, paid acquisition, conversion), and web/digital (redesign, UX, e-commerce, dashboards).
SOPs, labor, COGS, food-safety, health-audit response, store performance, employee training, P&L, local marketing
Warehouse ops, inventory, vendor coordination, SOPs, food-safety systems, fulfillment workflows, digital strategy
Website dev, SEO, content strategy, organic growth, analytics · SF Times: 25x traffic growth
Website optimization, UX, conversion architecture, SEO, paid ads · SF Floral: 2x conversion + 30% ad-spend reduction + new B2B channel · In Sheer Elegance: 2x CTR
Local SEO, GBP, lead gen, reputation, service-area optimization, conversion
Website, SEO, donor pipeline, CRM, communications, fundraising strategy · NorCal Shiba: 2.5x inquiry calls + 2x donations sustained 12 months
Website strategy, SEO, content, conversion, lead gen, education-sector positioning
Documented outcomes
- 25x website traffic, San Francisco Times (online media/publishing)
- 2.5x inquiry calls + 2x donations, sustained at 12 months, NorCal Shiba (nonprofit pet rehoming)
- 2x conversion rate + 30% ad-spend reduction + new B2B sales channel launched, SF Floral (e-commerce)
- 2x click-through rate + navigation redesign, In Sheer Elegance (boutique retail e-commerce)
- $125K to $1.5M+ in twelve months, founder-led client (SEO strategy + delivery redesign + process rebuild)
- 200+ campaigns delivered above ROI across industries and channels (cumulative across the practice)
What the practice proves
SEOD is the practice that demonstrates the operating method ports outside hospitality, outside franchise retail, outside distribution. The same discipline that runs thirty-eight stores across ten states works against a marketing campaign budget and an AI workflow. The vocabulary changes. The architecture stays.
It also serves a second purpose. The practice keeps me close to the AI tooling that is reshaping how operating teams actually work in real time. The operating roles I'd take next would be the ones where AI-as-infrastructure is structural to how the team scales, not a side project bolted on.
More on how I operate
The Hana Group case study and the Zareen's case study cover the corporate engagements that run in parallel with the practice. The five pre-interview research notes are public artifacts the practice produces. The full story page tells how all of these fit into sixteen years.
To talk about operating roles where AI-as-infrastructure is structural to how the team scales, start the conversation.