Revenue
Lead qualification, sales intelligence, personalization, pricing, retention, and AI-enabled products or services.
Private Equity AI Advisory
AI value creation starts with a clear decision.
Amped Innovation Group helps private equity firms identify and capture AI-driven value across their portfolio companies. We work directly with sponsors and portfolio company management to evaluate where AI can increase revenue, improve EBITDA, reduce risk, and strengthen enterprise value.
From AI opportunity to investment thesis to execution.
The question we answer
Not this
“How mature is our AI capability?”
This
“How can AI increase the value of this company during our hold period, what will it take, and what are the risks?”
That second question is the one an operating partner actually needs answered. We are not selling an AI maturity score. We are selling a decision.
The AMPED Framework
Five working days. Five stages. Defined outputs.
A fixed-scope assessment that connects AI to operations, economics, and enterprise value, delivered by the same senior practitioner who scoped it.
ADay 1
Day 1
Align
Investment thesis and value hypothesis
We start with the sponsor. The hold period, the value creation levers, and the decision in front of you shape everything that follows.
MDay 2
Day 2
Map
Workflow, data, and system evidence
We go under the hood to see where human effort actually goes, what the data supports, how the architecture is built, and what AI is genuinely running in production.
PDay 3
Day 3
Prioritize
Ranked opportunities and economics
Not fifty clever AI ideas. The few opportunities that matter financially, ranked against impact, feasibility, data readiness, and time to value.
EDay 4
Day 4
Evaluate
Feasibility, costs, and release conditions
We pressure-test the leading initiatives: technical feasibility, build versus buy, investment required, and what has to be true before scaling.
DDay 5
Day 5
Deliver
Sponsor report, model, and action plan
A decision-ready deliverable an investment committee will actually read, plus a practical 100-day plan management can execute against.
Where value comes from
We separate four kinds of AI value
Productivity gains are table stakes. The opportunities that move enterprise value are usually somewhere else, so we evaluate all four categories explicitly.
EBITDA & Productivity
Customer service, finance operations, document processing, procurement, IT support, and engineering throughput.
Risk Reduction
Compliance, cybersecurity, contract review, quality, fraud, and regulatory monitoring.
Strategic & Exit Value
Proprietary data assets, differentiated customer experience, a scalable operating model, and a stronger technology platform at exit.
What you receive
A usable operating plan comes with the analysis
The sponsor receives
- A decision-ready report
- A ranked opportunity portfolio
- An editable financial model with downside sensitivities
Management receives
- A 100-day action plan
- Named owners and funding gates
- Pilot success measures and conditions for scaling
The report answers seven questions
What the sponsor knows at the end of five days
01Where can AI create the most enterprise value?
02How much might those opportunities be worth?
03Which opportunities should management pursue first?
04What prevents the company from executing today?
05What investment will be required?
06What risks should the sponsor understand?
07What should management accomplish in the next 100 days?
Engagements
Fixed scope, sized to the decision
Every engagement is principal-led and bounded. Scope and fees are confirmed in a short scoping conversation.
Pre-acquisition
AI Diligence Sprint
Is the target’s AI story real? What AI, data, and technical risks or opportunities should shape the investment thesis before you sign?
Post-close or existing portfolioFlagship
AI Value Creation Assessment
The flagship five-day engagement. Where AI can create measurable revenue, EBITDA, risk, and strategic value, with the economics attached.
After the assessment
Implementation Design
Initiative backlog, target architecture, vendor brief, and acceptance criteria, which is the detailed design behind the 100-day plan.
Ongoing
Fractional AI Operating Advisor
Senior AI capability your operating team can call on across the portfolio, without adding a full-time executive.
Multi-company
Portfolio AI Program
One methodology applied across the portfolio, producing a portfolio-level AI opportunity map and a consistent basis for comparison.
Why Amped
We are not competing on breadth
The large firms can bring twelve consultants. We bring something different.
Senior practitioner, every hour
The person who scopes the engagement is the person who does the work and presents the conclusions.
Five days, fixed scope
Not an eight-week transformation study with an open-ended budget.
Real technical depth
We can interrogate architecture, APIs, data platforms, agents, LLMs, automation, security, and engineering practice, not just produce a strategy deck.
Economics, not enthusiasm
Every recommendation connects to operations, cost, and enterprise value. Ranges and assumptions are explicit.
Implementation credibility
We have built and operated the kinds of systems we recommend. We know the parts that are difficult to make work.
Thesis-oriented
The governing question is always whether technology enables or impairs the investment thesis.
Who we work with
Built for lean operating teams
Our sweet spot is the lower-middle-market and middle-market sponsor with real operational complexity and a small operating partner team, often without a dedicated AI leader.
Business ServicesDistributionManufacturingLogisticsConsumerSoftware & Tech-Enabled Services
Strong fit signals
- A portfolio company with a measurable operating bottleneck
- A near-term capital allocation or roadmap decision
- Accessible leadership and usable operating records
- A sponsor who can authorize a fixed-fee engagement
Choose one portfolio company.
Bring the operating question. A short conversation is enough to identify the decision, the value at stake, and the evidence needed.