Data & AI that drives measurable performance
Ducker Carlisle helps PE-owned and corporate leaders move from AI interest to real operational and financial impact, with a clear path from strategy to deployment and adoption.
What We Do
We make AI practical, governable, and valuable.
Most organizations do not fail at AI because of ideas, they fail because they lack focus, operating model, data readiness, and adoption. We fix those, then deploy targeted solutions where they matter.
How We Help
1.) Value Discovery and Prioritization : Identify, size, and sequence AI opportunities tied to real value drivers, not curiosity projects. Ends with a short roadmap and an execution plan.
2.) 90-Day AI Citizen Developer Pilot : A hands-on pilot enabling your top performers to rapidly build automation and AI-enabled solutions at scale—guided, trained, and organized by Ducker Carlisle experts. $30,000 fee with a guarantee: if we do not deliver $100K+ in validated savings in 90 days, you pay nothing. Your commitment is 5 of your top performers for 3 hours/week for 90 days; we handle everything else. The outcome: 3-10 production-ready AI solutions deployed at scale, $100K+ in validated annualized savings, and a scalable AI citizen-developer model.
3.)Targeted AI Solutions and Agents: We deploy practical solutions in high-friction workflows where speed, accuracy, and cost-to-serve matter. Examples include procurement and compliance, pricing and quoting, customer support automation, forecasting, and document workflows.
4.)AI Office as a Service: Fractional AI leadership and enablement to set direction, prioritize use cases, select tools, govern risk, and drive adoption. Ideal when you need senior AI leadership without building a full internal function.
Where We Fit
Middle Market PE-owned Companies ($50M-$500M revenue): “You know AI matters but lack internal expertise. You need fast wins that prove ROI before scaling investment.”
Large PE-owned Companies ($500M+ revenue): “You have pilots scattered across business units. You need governance, prioritization, and a model that scales without creating vendor lock-in.”
Corporate Clients: “You’re exploring AI but procurement, compliance, and risk governance are slowing progress. You need a pragmatic path that works within your constraints.”
Why Ducker Carlisle Data & AI
We built it for ourselves first, then packaged it for you. We’re not just consultants advising on AI, we’re a PE-backed firm that deployed citizen developers internally and identified $1M in operational savings.
We start with your P&L, not the latest tech trend. We begin with value drivers and workflows, then choose the right mix of data, tools, and change management.
We deploy and train, not just strategize and deck. We do the work required to launch and adopt, not only define a strategy.
Industry plus AI depth. Operators trust us because we combine real industry context with real AI delivery experience.
Pragmatic on risk. We help you adopt AI in a way that is secure, governed, and usable by the business.
Ducker Carlisle Internal Deployment
$1M in operational savings identified (and counting) : As a PE-backed firm, we ran our own 90-day AI citizen developer pilot before selling it to clients. We deployed a decentralized model that enabled teams across finance, operations, and business development to build their own AI solutions. Result: $1M in validated operational savings and a scalable playbook we now offer to portfolio companies. This is proof the model works under real PE constraints; lean teams, budget scrutiny, and zero tolerance for failure.
RFP AI Agent – $36M/year revenue increase : An 8-week project to transform RFP workflows using AI resulted in a $36M/year revenue increase by reallocating efforts to high-value activities for a $400M division of a $1B aerospace company.
Procurement AI Agent – $1.3M in invoicing errors captured: A 10-week project to build agent-based solutions that automate data extraction captured an additional $1.3M in invoicing errors and corrected them for a Fortune 500 company. Multiple FTEs were reallocated due to the reduced time needed to locate and review sourcing agreements.
Parts Forecasting AI Agent – Saved over €2M in safety stock: A 4-week project to build a Python-based forecasting solution saved over €2M in safety stock while improving fill rates and significantly reducing forecast error for an agricultural spare parts e-commerce player in Europe (€800M revenue).
Pragmatic on risk: We help you adopt AI in a way that is secure, governed, and usable by the business.
What Happens Next
Step 1: Discovery Call (30 min) – We’ll map your highest-value opportunities and recommend a starting point. We align on your context, goals, constraints, and the fastest path to impact.
Step 2: Pilot or Assessment – Choose the 90-day pilot (guaranteed ROI) or a maturity assessment (if you need broader scoping). A quick read on readiness, risk, and where to focus first.
Step 3: Launch and Scale – Deploy the first wave, measure results, then expand what works. A small first wave that is designed to ship, show value, and scale.
Ready to Turn AI into Performance, Not Projects?
Book a 30-minute intro call. We’ll identify the best starting point and the right engagement motion.
Book intro call