Fractional CAIO · Salem, MA

Your Team
Trained.
Your Workflows
Built.

I help growing organizations actually adopt AI — through hands-on training, custom automation, and governance that keeps everything running responsibly. You get capability, not just a consultant.

Book a Discovery Call → See How It Works
Role-Specific AI Training
n8n Workflow Automation
NIST AI RMF Governance
Massachusetts WTFP Grants
What You Get
🎓
AI Training by Role
Every employee learns tools matched to their actual job function — no generic workshops.
⚙️
Custom Automation Builds
Production-grade n8n workflows that eliminate manual work and stay running after I leave.
🛡️
Governance Baked In
NIST AI RMF documentation and responsible use policies — built into the work, not added later.
📊
Measurable Outcomes
We baseline before we build, so you can see exactly what changed — in hours saved and adoption rate.
The Approach

Education First.
Infrastructure Second.
Governance Always.

Most AI engagements fail because they build without training, or train without building. I do both at once — so your team develops real capability while your infrastructure actually holds up.

01
🎓
Train Your Team
Role-mapped AI training that creates behavioral change. Sales uses sales AI. Ops uses workflow AI. Admin uses document and comms AI. Generic training creates forgetting — role-specific training creates capability.
Layer 2
02
⚙️
Build the Infrastructure
Custom n8n automation built to outlast the engagement. Lead pipelines, CRM sync, document processing, monitoring workflows — designed so your team owns the day-to-day without depending on me.
Layer 1
03
🛡️
Govern Responsibly
NIST AI RMF documentation, acceptable use policies, and audit trails embedded from day one — not added as an afterthought. Compliance becomes a natural output of how the work gets done, not a separate project.
Every Engagement
The Process

From Discovery
to AI-Native

01
Baseline Assessment
We map your current workflows, identify time-waste bottlenecks, inventory your tools, and define what success looks like in your language — before a single line of code is written or a single training session runs.
02
Role Mapping & Training Plan
Every team member gets a training track built for their actual job. Sales, ops, admin, and technical staff each get tools and instruction calibrated to their function — not the same deck with different logos.
03
Build & Train Simultaneously
Automation builds and team training run in parallel. You're not waiting for one to finish before the other starts — both deliver value from week one, and the team learns on infrastructure that's actually live.
04
Measure, Report, Iterate
Monthly outcome reports tied to your pre-defined success metrics. Hours saved, adoption rates, turnaround improvements — in plain numbers, not consultant speak. We adjust based on what the data shows.
What Changes at 90 Days ▸ typical outcomes
  • Manual task time down 5–15 hours per employee per week
  • 70%+ of target workflows automated and running in production
  • Every team member certified on role-specific AI tools
  • AI System Profile documented and NIST-aligned
  • Acceptable use policies written, reviewed, in place
  • One internal AI champion identified and developed
What You Own After ▸ yours to keep
  • All automation code and workflow documentation
  • Role-specific AI playbooks per job function
  • NIST AI RMF compliance documentation
  • Trained team that doesn't need me for day-to-day
  • Client dashboard with ongoing usage reporting
Services & Pricing

Three Ways
to Get Started

Every engagement includes role-mapped training, automation builds, and governance documentation. The difference is scope and timeline.

Pilot Engagement
AI Jumpstart
From $4,500 (pilot) · $10,000 (standard)
Two deliverables that prove value fast. A working automation and trained employees — with governance documentation so nothing is flying blind.
  • AI System Profile (NIST-aligned documentation)
  • 1 production n8n automation build
  • Role-mapped training for 3–5 team members
  • Baseline assessment and outcome metrics
  • 30-day post-launch support
Pilot rate for first 3–5 clients in exchange for documented case study and measurable outcome data.
Full Implementation
AI Transformation
From $10,000 · scales with team size
Complete workflow audit, multiple automation builds, and company-wide role-mapped training. Your full team becomes AI-native in a single 90-day engagement.
  • Full workflow audit with written findings
  • 3–5 production n8n automation builds
  • Role-mapped training for every team member
  • NIST AI RMF risk mapping report
  • Custom AI playbook per job function
  • 30-day post-launch support
+$150–$250 per employee beyond 10 · Pilot and standard rates available.
Ongoing Retainer
Fractional CAIO
$1,500–$8,000/mo · scales with team size
Monthly partnership. New builds, training updates as tools evolve, monthly reports, regulatory monitoring, and a dedicated strategic voice on AI decisions.
  • 1–2 new automation builds per month
  • Monthly AI usage and compliance report
  • Monthly team webinar on evolving tools
  • Weekly AI newsletter (industry-tailored)
  • NIST AI RMF compliance monitoring
  • Quarterly strategy session
Follows a completed Jumpstart or Transformation engagement.
Massachusetts Employers
Training May Be Fully Reimbursed
Massachusetts employers may qualify for the Workforce Training Fund Program (WTFP) Express grant, which reimburses up to $15,000 per year in employee training costs. Eligible organizations could see their training investment significantly offset — potentially to near zero. Ask about this on your discovery call and I'll help you assess whether your organization qualifies.
↓$
potential training cost
offset for MA employers
The Business Case

This Isn't a Cost.
It's a Revenue Lever.

When your team becomes genuinely effective with AI and automation, the ceiling on what the business can produce goes up — without adding headcount. The services have a price tag. The upside, when applied well, is multiples of that.

⏱️
Time Recovered at Scale
When automation eliminates 5–15 hours of manual work per employee per week, that time doesn't disappear — it redirects into higher-value activity. For a 10-person team, that's potentially 50–150 hours a week of recovered capacity.
📈
Revenue That Scales Differently
An AI-native team can handle more clients, respond faster, produce more, and iterate quicker — without proportionally growing costs. The constraint on revenue stops being headcount and starts being strategy.
🔁
Compounding Returns
Capability compounds. A team that learns AI in month one is meaningfully more capable in month six — finding new applications, building on prior training, and self-improving in ways that a one-time consultant engagement never delivers.
Results vary by organization, team, and implementation. The above reflects potential outcomes when training and automation are applied effectively — not guarantees. Every discovery call includes an honest assessment of what's realistic for your specific situation.
Responsible AI

Governance Isn't
a Separate Project

I have a CS and cybersecurity background — which means responsible AI practices are second nature, not an add-on. The NIST AI Risk Management Framework isn't a compliance checkbox I hand you at the end. It shapes how every automation is designed and every training program is built.

You don't need to worry about AI governance. You get it automatically.

Govern
Policies & Accountability
Acceptable use policies, data handling protocols, and role-based access — written and implemented, not just recommended.
Map
Risk Identification
Pre-implementation audit of data flows, regulatory exposure, and bias or reliability considerations across every workflow.
Measure
Ongoing Assessment
Defined success metrics, performance baselines, and regular evaluation against outcomes — in numbers, not feelings.
Manage
Monitoring & Response
Quarterly risk reviews, regulatory update monitoring, and vendor terms tracking so your compliance posture stays current.
The NIST AI RMF addresses seven dimensions of AI trustworthiness: reliability, explainability, bias and fairness, privacy, security, transparency, and accountability. These are embedded into every engagement — not offered as optional add-ons.
Gabriel Yeager — Fractional CAIO
AI Educator & Systems Thinker
CS & Cybersecurity Background
NIST AI RMF Practitioner
n8n Automation Specialist
Fractional Chief AI Officer
About Gabriel

An Educator Who
Builds. A Builder
Who Teaches.

Most AI consultants hand you a tool list and leave. Most trainers run a workshop and never touch your actual systems. I do both — simultaneously — because that's the only way transformation actually sticks.

My background is in computer science and cybersecurity education. I've spent years teaching complex technical systems to non-technical people, and building production infrastructure that actually holds up. That combination — educator and systems thinker — is what makes this different from hiring another automation freelancer or booking another lunch-and-learn.

I'm not coming in as a security expert trying to scare you into compliance. I'm coming in as an AI educator and operations strategist, helping your team grow into AI with confidence — and making sure the governance keeps up with the capability.

2
Delivery Layers
90
Days to AI-Native
$0
Net Training Cost (MA)
∞
Compounding Value
Work With Gabriel →
Get Started

Ready to Build a
Team That Actually Uses AI?

Book a free 30-minute discovery call. We'll map your highest-value automation opportunities, assess your team's training needs, and figure out whether WTFP grant funding can cover your costs.

Book a Discovery Call →

[email protected]  ·  Salem, MA  ·  No commitment required