Scale Your Business With AI
Ship AI that Actually Moves Revenue, Not Just Demos.
Jason Fleagle, Chief AI Officer, helps organizations turn messy data and scattered pilots into governed, production AI, used by teams, loved by customers, & demonstrating real results.
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Worked with Teams at:
Why Most AI Initiatives Stall
AI Pilots stay in purgatory never moving to production successfully.
No internal team or external customer adoption.
No finance-grade ROI & success KPIs or metrics.
Shadow AI models & usage.
Inconsistent, unlabeled, or disorganized data.
‘Cool demos’ never shipping because of wasted budget and leadership fatigue.
Jason’s Frameworks align AI use cases to measurable value, governed workflows, and change adoption so that AI projects land, stick, and scale effectively.
The Humanize Data™ Framework
Our proven four-pillar approach to AI transformation: Value Mapping, Data Spine, Operational AI, & Adoption + Controls
#1 Value Mapping
Prioritize use cases that tie to revenue, margin, or cost-out.
#2 Data Spine
Clean, connect, and govern the minimum viable data to ship v1.
#3 Operational AI
Embed AI where work happens (apps/agents/workflows), not in slide decks.
#4 Adoption & Controls
Measure usage and outcomes; add guardrails (security, bias, privacy). Most clients see time-to-first-win in 30–45 days, then expand to 3–5 use cases per quarter or over multiple quarters.
You get real results with your AI integrations & projects ASAP!
Engagements That Fit How You Buy
AI Opportunity Sprint (2-4 weeks)
Prioritize high-ROI use cases, quantify value, dependencies, and risks.
Deliverables: Use-Case Scorecard, 90-Day Roadmap, Governance Starter.
Ideal for: Exec teams who need clarity before committing budget
Pilot-to-Production (6–10 weeks)
Build the smallest valuable system (MVS): data spine, app/agent, guardrails.
Deliverables: Working solution, adoption plan, KPI dashboard, runbook.
Ideal for: Teams stuck in pilot purgatory.
Scale & Govern (Quarterly)
Expand to 3–5 use cases/quarter; add monitoring, cost control, and model ops.
Deliverables: Portfolio tracker, governance controls, enablement playbooks.
Ideal for: Orgs ready to standardize AI delivery.
Here’s How We Start (Simple & Fast)
Book the Call (Day 0): 30-min diagnostic to align goals and constraints.
Use-Case Workshop (Week 1-2): Score opportunities; pick the highest-value first.
Build the MVS (Weeks 2–6): Data spine + app/agent + guardrails.
Adopt & Measure (Weeks 6–10): Rollout, enablement, and ROI dashboard.
Jason Fleagle AI Portfolio & Case Studies
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View AI Projects & Case Studies
Real Results From Recent AI Projects
Frequently Asked Questions
What if our data is a mess?
That’s normal. The Data Spine step defines the smallest set needed for the first win—then we expand.
Security & compliance?
We implement governance from day one: data access, audit logs, PII handling, model risk, and human-in-the-loop controls.
Build vs buy AI hardware to power my AI workloads??
We’ll recommend the fastest and sustainable path to value—off-the-shelf where it’s good enough; custom only where it creates advantage.
What AI models do I use?
We’re model-agnostic (OpenAI, Anthropic, open-source). We choose based on risk, cost, latency, and accuracy for your use case.
What’s the pricing?
Fixed-fee for Sprints; milestone-based for Pilot-to-Prod; quarterly retainer for Scale & Govern. Most clients start with the Sprint. Also can charge hourly for ad-hoc AI coaching or consulting calls.
How soon do we see value?
Many teams get a measurable win in 30–90 days; portfolio value compounds each quarter.
Claim your AI transformation now, and if you're not satisfied we'll refund you 100% (YES, FOR REAL!)
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