We build AI workflows that carry the technical side of your deals, from demo prep to security reviews to onboarding, so deals keep moving while your team stays lean.
Covers the whole deal
From the first demo through security review, the POC, and onboarding.
Works for the team you have
Your AEs and founders run the workflows. No new hire to wait on.
Shaped around how you sell
We build on your product, docs, and process, not a generic AI bot.
Is This You?
These are the signals that your team needs Solutions Engineering velocity—and AI can deliver it long before you can justify the hire.
Your AEs hit a technical wall
Reps can sell the vision but stall on architecture, security, and integration questions.
Demos are generic, not tailored
Every prospect gets the same canned walkthrough because no one has time to customize.
Solution design drags on for days
Security reviews, RFPs, and architecture questions become fire drills that pull people off real work.
The founder is still the only SE
Technical credibility lives with one or two people who should be building product.
Onboarding new customers is chaotic
What got sold doesn’t match what gets delivered, and every implementation starts from scratch.
You know AI could help—but not how
You hear about AI everywhere but have no idea how to operationalize it for your sales motion.
Where AI Plugs In
A Solutions Engineer touches every technical moment of a deal—from first call to live customer. We map AI workflows to each of those moments, so your lean team moves like it has one.
What Velocity Looks Like
Illustrative ranges for what well-scoped AI workflows can unlock for a lean team.
Hours → Minutes
Solution design & RFP turnaround
Every Demo
Tailored to the prospect, not canned
Faster POCs
Clear criteria, less stalling
SE Coverage
Across the deal cycle, with the team you have
Founder Time Back
Off repetitive technical calls
Smoother Onboarding
What’s sold matches what’s delivered
Who’s Behind This
Founder & Principal Advisor
I lead Solutions Engineering at a large software company and have spent 10+ years inside B2B SaaS—running SE, Solutions Architecture, Implementation, and Technical Account Management from Series A startups to the Fortune 500. I’ve seen exactly what a Solutions Engineer does at every stage of a deal—and which of those moments AI can now handle. Solutions Advisory Partners is where I help leaner teams put that to work. Based in NYC.
Industries & Environments
How an Engagement Works
A structured path to AI workflows your team actually uses. Every engagement is scoped to your motion and stage.
Discovery call to map where your deals lose technical momentum and where AI can help most.
Architect and deploy the AI workflows that fit your tools, your data, and your team.
Roll out to the team, measure what’s working, and expand into new stages over time.
Project-based or ongoing—scoped to your motion and stage. Every engagement starts with a discovery call.
Single-scope engagements: identify your highest-leverage technical bottleneck, then design and build the AI workflow that removes it. Fixed scope, clear deliverables, defined timeline.
Your fractional Solutions Engineering partner—rolling out AI workflows across the deal cycle and acting as the technical brain your team doesn’t yet have on staff.
What We Build
Buying a ChatGPT seat won’t give your team SE-level velocity. The leverage comes from workflows—connected to your product, your docs, and your CRM—that take a real input and produce a usable output every time.
I approach every engagement the way an engineer approaches a system: find the bottleneck, design the workflow, wire it into your tools, and measure the output. The code motif isn’t decoration—it’s how these workflows actually get built.
const demoPrep = async (prospect) => {
inputs: [
"Discovery call transcript",
"CRM context + tech stack",
"Your product docs"
],
ai.generate({
painPoints: "Mapped to features",
demoFlow: "Tailored narrative",
objections: "Likely + responses"
}),
output: "Demo brief in your inbox"
};
// Real inputs in, usable output out. Every time.
If your AEs are hitting technical walls, demos feel generic, or onboarding is chaotic—and you can’t yet justify a Solutions Engineer—let’s build the AI workflows that close the gap.