AI Strategy · Revenue Impact

I find the AI bets that
actually move your P&L.

Not slides. Not POCs. I find the 2–3 AI bets that move your P&L, build the board-ready narrative around them, and give you a 90-day plan your team can actually execute.

Flagship offer: 30-day AI Leverage Sprint for PE-backed and AI-native B2B companies.

$20M+
ML Revenue Impact
$8M+
EBITDA Contribution
18%
Conversion Lift
5x
CTR Improvement
How I Work

Sage, not architect.
I find the angle. I guide the build.

What you get

Deep investigation of your data for hidden AI revenue opportunities
The 2–3 highest-ROI AI bets tied directly to your P&L
Full system specs your engineering team can execute on
Ongoing advisory through execution — I stay in the room until it ships
Board-ready narrative connecting AI initiatives to EBITDA

What I don't do

Become a permanent member of your engineering team
Own and maintain production systems after handoff
Deliver 200-page slide decks nobody reads
Run AI "experiments" without P&L accountability
Charge for AI theater. If I can't find the ROI, I'll tell you.

Engagement Models

Three ways to work together.

Flagship

AI Leverage Sprint

$10K · 30 days

Four weeks. Fixed scope. You walk away with a plan your board believes and a 90-day sequence your team can execute.

→ Week 1: Deep discovery — 2 sessions with CEO/Product/Rev leaders
→ Week 2: AI Leverage Map — 3–5 prioritized plays, impact/effort scored
→ Week 3: Board-ready narrative — positioning, before/after, risk framing
→ Week 4: 90-day execution plan — owners, milestones, "do NOT do" list

Deliverables: AI leverage map · board-ready narrative · 90-day plan
Not a fit: pre-seed, no product yet, or you want execution run for you.
Ongoing

Ongoing Advisory

$5–10K/mo · Quarterly commitment, renewable

For companies where the Sprint surfaces a bigger opportunity, I take a small number of ongoing advisory roles.

What this looks like:
→ 2 sessions/month (strategy, roadmap, board prep, competitive intelligence)
→ Async availability for founder/leadership questions
→ Clear monthly focus area agreed upfront
→ Quarterly renewal — no auto-roll, both sides recommit

In select cases I'll structure this with an equity or success-based component instead of (or alongside) cash.

→ Usually comes out of a completed Sprint. Cold inquiries considered if the company and problem are a strong fit.
Portfolio

PE AI Value Creation

$15–25K/mo · 6–12 months

AI value creation across your portfolio. I assess each portco, prioritize by EBITDA impact, design shared playbooks, and roll up results for LP communication and exit materials.

→ EBITDA lift across multiple companies
Track Record

Production systems, not prototypes.

ML Optimization · PE Portfolio Company
$20M+
Built ML bidding platform using gradient descent optimization. 10K+ lines of production code. Automated decisioning across millions of daily transactions. Direct EBITDA contribution of $8M+.
AI Personalization · B2B Marketplace
18% CTR lift
Architected agentic AI system for real-time content optimization. LLM-driven headline rewriting with feature extraction. Generated $900K+ incremental pipeline.
ML Ad Optimization · Automotive Marketplace
5x CTR · 40% cost cut
Designed ML platform for dynamic ad generation using n-armed bandit methodology. 18% conversion lift. Company doubled traffic and revenue during tenure.
COO Turnaround · E-Commerce SaaS
Successful exit
Recruited to turn around PE-backed email automation company. Launched AI recommendation engine and email copy generator. Led product and commercial transformation through successful sale.
About

Russell Miller
Founder, Zavient

20 years at the intersection of B2B SaaS, AI/ML, and private equity. COO of a company I turned around and sold. Five years as an independent sponsor with CIVC, Stonehenge, and BlackRock — deals from $7M to $300M+ enterprise value.

I've written 10,000+ lines of production ML code AND presented to investment committees. Most AI consultants do one or the other.

Remote-first. Pragmatic. I work with a handful of clients at a time — so you get me, not a team of juniors.

Education MIT Mathematics · Texas A&M MBA
AI / ML LLMs · RAG · Agent Architecture · Gradient Descent · Predictive Analytics · Embeddings
PE Fluency CIVC · Stonehenge · BlackRock · IRR/MOIC · IC Presentations · LP Communication
Shipped Baryo (multi-model AI router) · Cast (AI financial calculator) · PageGenie.ai (RAG platform)
Approach Find the angle in the data. Spec the system. Advise through execution. Move to the next problem.
Let's Talk

Ready to find out if the
Sprint is a fit?

Send me three things:

1. Your company URL
2. Two sentences on your current AI experiments
3. One sentence on what success looks like in 12 months

I'll reply with a straight yes/no and a quick pattern read on where I'd look first.

No form. No funnel.

Email rmiller@zavient.com →