Your CRM says the deal is $500K. Your VP says $300K. The rep says “it’s complicated.”
Three people, three numbers, one pipeline. Nobody trusts any of them.
Now with AI that ships.
Build systems
that scale
Your revenue ops shouldn’t depend on one person’s spreadsheet, a duct-taped automation, or a CRM nobody trusts. I build the systems that replace all of that. You keep the infrastructure.
- HubSpot implementations
- 50+ plus
- Geekify theme modules
- 70+ plus
- Geekify theme sections
- 50+ plus
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
Coming soon
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
From $10K/month
A part-time head of AI with hands on the keyboard.
01Lead02Build03Enable
02 / For agencies and partners
Add senior HubSpot and AI capacity under your brand
Sound familiar?
You’ve probably been here
Someone on your team is copy-pasting between HubSpot and an AI chat window every day.
Everyone knows it’s a workaround. Nobody’s built the thing that replaces it.
You bought a tool six months ago. Nobody uses it.
The process it was supposed to replace is now two processes: the old one, and the half-finished new one that made everything worse.
These aren’t tool problems. They’re systems problems. And another dashboard isn’t going to fix them.
Our approach
What’s different here
Three principles that guide every engagement.
Systems, not slides.
I don’t hand you a recommendation deck. Your deals route to the right rep automatically. Your data stays clean. The deliverable is infrastructure, not a PDF.
Intelligence baked in.
I build operations where AI is part of the foundation. Your CRM routes deals smarter. Your team gets answers from institutional knowledge. Your reporting stays accurate without someone babysitting a spreadsheet.
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
Founder-led. Engineer-built.
Erin WiggersFounder & Principal
- 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
Builder, not just advisor
I build the CRM data, automation, and reporting systems your revenue team runs on, instead of advising from the sidelines
Built Emerjent to run my own practice
The platform I use every day, and the loop I bring to client work
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FAQ
Common questions
Answers to the questions that usually come up at this point.
We work best with B2B companies doing $3M-$50M ARR with 10-200 employees. At this stage, you have enough complexity to need systems but aren't so large that you have dedicated ops teams for every function. That said, we've helped both smaller startups getting ahead of chaos and larger companies fixing foundational issues.
A single RevOps hire brings one perspective and capacity. We bring methodology, patterns from dozens of implementations, and surge capacity when needed. Many clients use us to establish foundations, then hire internal talent to maintain. Others keep us as ongoing fractional leadership.
HubSpot's team knows their product well, but they're focused on feature adoption within HubSpot. We design cross-functional revenue systems, connecting your CRM to your data warehouse, product analytics, billing, and custom tooling. We also bring AI automation expertise and 50+ implementation patterns that a platform vendor simply can't.
Quick wins in 2-4 weeks (cleaner data, automated handoffs). Foundational improvements in 60-90 days (reliable forecasting, adoption rates). Full transformation in 4-6 months (self-improving feedback loops). We prioritize showing value fast while building for durability.
Most engagements show measurable improvements within 2-4 weeks, cleaner data, faster handoffs, fewer dropped leads. The bigger structural wins (reliable forecasting, automated workflows, self-service dashboards) take 60-90 days. We sequence work so you're seeing value continuously, not waiting months for a big-bang launch.
While we have deep HubSpot expertise, we're system-agnostic architects. We work with Salesforce, hybrid stacks, and custom tooling. The methodology is the same: define signals, establish trust, build flows. The implementation varies by platform.
Especially then. Most teams we work with have HubSpot running but know it's underbuilt, messy properties, automation gaps, reports nobody trusts. An audit surfaces the specific friction points costing you deals and time. It's not about starting over; it's about making what you've already invested in actually deliver.
Every AI and automation we build includes guardrails: human-in-the-loop for critical decisions, audit logs for every action, PII handling protocols, and easy rollback mechanisms. We're not building 'fire and forget' agents, we're building governed systems that humans trust and can control.
Yes, but we're allergic to AI theater. Every AI implementation we build solves a specific, measurable problem: reducing manual data entry, accelerating proposal generation, or catching at-risk accounts. We prove value before scaling, and we always maintain human oversight.
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.