Everyone agrees AI should be doing more. It isn't anyone's job to make that happen.
It sits on the leadership agenda every quarter, then moves to the next one.
Now with AI that ships.
Build systems
that scale
I'm Erin Wiggers, and Geekeri is my fractional AI practice in Denver. I work forward-deployed: I sit inside your team, set the AI direction, build what it needs, and stay until your people run it.
- products built for HubSpot agencies
- 3
- client AI products shipped and selling
- 2
- AI-native platform I run my entire practice on
- 1
Bramblewood Goods · HubSpot rebuild
Emerjent · run by your team
AI drafting
Discover4
Scope2
Propose1
Deliver6
Discovery call summarizedAI · 09:12
Scope and proposal draftedAI · 09:20
Your PM reviews the proposal
Waiting on Jordan
Delivery plan · 4 people
bramblewoodgoods.example
Geekify theme · your child theme
Days, not weeks
Swap the hero photoClient feedback · pin 1
Add a fourth cardClient feedback · pin 2
Editor guideRebranded to Your Agency
Bramblewood Goods portal
Spriggit · configuration run
4 of 5 areas configured
Hours, not days
Pipelines and deal stages3 PIPELINES
Properties from the scope48 FIELDS
Workflows12 BUILT
Teams and permissionsRUNNING
Erin W.Solutions Architect · Your Agency
erin@youragency.exampleNDA signedBEFORE CALL 1
Added to your project toolYOUR CHAT TOO
Architecture review with your client
Thu 10:00
01 / For leadership teams
A fractional head of AI with hands on the keyboard.
01Lead02Build03Enable
02 / For HubSpot agencies
Improve your margins with AI-native delivery
Sound familiar?
You’ve probably been here
A vendor quoted six figures for something you know is buildable.
Your team doesn't have the time or the expertise to make it work.
Your agency is leaking margin on work that should be routine.
Projects that should be easy to scope and deliver keep running over.
These aren't tool problems. They're systems problems. And another subscription isn't going to fix them.
My approach
What’s different here
Three principles that guide every engagement.
Systems, not slides.
I don't hand you a strategy deck. I build the thing: an AI workflow, an integration, an internal tool your team actually uses. The deliverable is working software, not a PDF.
AI as a dial, not a switch.
For each task you decide how much to hand over: a first draft, a check, or a run a person approves. You turn it up as trust builds, and you own the output either way.
Your team runs it.
Every automation has a walkthrough. Every process is documented. I’ve never had a client call me six months later because they couldn’t figure out how to use what I built. That’s the bar.
Lead → Build → Enable
One person who leads it, builds it and teaches it
AI help usually arrives in pieces: a strategist writes a roadmap, an agency quotes the build, someone runs a workshop. Things get lost in the handoffs between them. I do all three, so the person who set the plan is the one building it and teaching it.
- 01 / Lead
Lead
I set the AI direction with your leadership team and own the roadmap: what to build first, what to teach, and what to leave alone for now.
- 02 / Build
Build
I build the first AI products and integrations myself, on HubSpot and the tools around it. Building is part of the monthly engagement, not a second contract.
- 03 / Enable
Enable
I teach your team to run what I build and to use AI well in their own work, through onboarding and weekly office hours.
01 Lead
02 Build
03 Enable
About Geekeri
One person who leads it, builds it and enables the team.
Erin WiggersFractional AI lead · forward-deployed engineer
- HubSpot implementations
- 50+ plus
- Geekify theme modules
- 70+ plus
Systems that stick
Every engagement ends with documented processes, trained teams, and infrastructure you own
Governed automation
Human review, audit logs, PII-safe handling, and rollback, so your team can trust what ships
A builder in the advisor's seat
I write the code, the integrations and the docs myself, so the plan and the build come from the same person.
Built Emerjent to run my own practice
The platform I use every day, and the loop I bring to client work
Latest from the Blog
View allThe Geek Brief
Notes from building with AI, once a month
On the third Thursday: what I shipped, what came up in the rooms, and one thing you can try that week.
FAQ
Common questions
Answers to the questions that usually come up at this point.
A fractional AI lead sets your AI direction, builds what it needs and enables your team to run it, part time, without a full-time executive hire. I work forward-deployed, embedded in your team to solve the operational problems they actually face.
My Fractional AI Lead work starts at $10K a month. Custom products are built quarterly through the Roadmap Accelerator, at $25K flat or $15K plus a revenue share.
Fractional, until AI work fills most of the week or needs someone on your leadership team every day. Starting fractional also shows you what a full-time role would need to own.
An engineer who works inside your team instead of at arm's length: in your tools and meetings, finding the real problem in the day-to-day work, then building the fix with tests and handing it off. It's how I work on everything, and it's also an offer for internal projects.
The Fractional AI Lead sets the direction, runs governance and enablement, and builds prototypes and automations along the way. The Forward-Deployed Engineer builds your internal initiatives as part of your team. The Roadmap Accelerator builds one custom AI product you own and can sell, in one quarter, for a fixed fee.
You get an AI point of view, a short list of priorities tied to your quarter, and the first build underway.
I set the guardrails first: who can build what, what data goes where, what reaches a customer and where a person signs off. Then we turn AI up one task at a time as trust builds.
Then I haven't finished. Enablement and docs are part of every build, and "your team runs it" is the bar.
No. HubSpot has been my home base, where I've led 50+ implementations, but the AI I build works with the systems your team already runs on, HubSpot or not. I connect it to whatever else you use, and I build outside it when the problem lives somewhere else.
You do, once it's paid for: the product, the code and the docs. I keep the reusable pieces I bring with me and license them to you, so you're never locked out of your own product.
It's the AI operations platform I built and run my practice on. You don't need it to hire me. If you run an agency and want it for your own team, start at emerjent.io.
Not sure where to start?
Most engagements start with a conversation, not a contract. No pitch deck. No pressure. Just a real talk about where you are and what might help.