Fractional CAIO  ·  Mid-Market AI Strategy

Drive AI adoption
with real ROI.

Enterprise-grade AI strategy — built for 50–500 person companies. From readiness assessment to phased implementation, PathForge gives you the execution continuity that Big 4 firms don't.

No six-figure retainers. No junior analysts. Senior strategists who've scaled AI — embedded in your organization until results are locked in.

Get Your AI Readiness Score → Book a Consultation
Built for 50–500 person companies
15+ years cross-industry AI experience
Results in weeks, not quarters
85%
of enterprise AI initiatives fail to scale past pilot — due to poor governance and implementation gaps
$2–5M
average cost of a failed AI adoption at mid-market companies, including misdirected vendor spend
60%
lower cost than Big 4 consulting engagements — with senior delivery and implementation continuity

Built for the leaders making the AI decision.

If you're responsible for AI outcomes — and tired of strategy without execution — you're in the right place.

C-Suite & VPs
CEOs, COOs, and VPs evaluating AI investment ROI. You need a business case that holds up — and a partner who stays through execution, not just the deck.
Operations Leaders
VPs of Ops and Directors tasked with making AI actually work. You need governance frameworks, data readiness, and pilots that don't collapse in month three.
IT & Technology Directors
Leaders who own the infrastructure and know what's actually feasible. You need a strategy built on technical reality, not vendor decks and buzzwords.

The four things mid-market AI programs fail at. We fix all of them.

Every failed AI initiative has the same fingerprints: no readiness foundation, no governance, no execution continuity. Here's how we address each one.

01 — ROI
Execution tied to business outcomes, not deliverables
We don't bill by the slide deck. Every engagement is scoped around a measurable business outcome — cost reduction, revenue impact, or time-to-decision. You see ROI estimates before you commit, and we track actuals as we go.
02 — Governance
Governance frameworks your board can stand behind
Risk, compliance, data residency, model explainability — mid-market companies face the same governance requirements as enterprises with 10% of the resources. We design frameworks that scale with your organization.
03 — Scale
From one pilot to organization-wide adoption
Most firms help you launch a pilot. We design for the second and third one too. The readiness sprint builds a foundation that supports 12–24 months of AI adoption — not just the next 90 days.
04 — Continuity
Senior delivery from start to production
No bait-and-switch. The senior strategist who scoped the engagement runs the engagement. We stay through the first production deployment and transfer capability to your team — so the knowledge doesn't leave when we do.

Three entry points. One continuous path.

Start with the assessment that fits your readiness. Every tier is designed to feed the next — or stand alone as a complete engagement.

2–4 Weeks
AI Readiness Sprint
$2,500–$5,000
Know exactly where you stand before you commit budget. We audit data, governance, skills, and infrastructure to build a business case that holds up in the boardroom.
  • Full data readiness audit
  • Governance gap assessment
  • Skills & capability review
  • Business case with ROI estimates
  • Executive-ready findings report
Start with AI Assessment → Buy Now — $2,500 →
Ongoing
Fractional CAIO Retainer
$5,000/month
Hands-on AI leadership without the full-time executive cost. We guide your first 2–3 pilots to production and transfer capability to your internal team.
  • Strategic Roadmap included at start
  • Monthly executive strategy sessions
  • Pilot implementation oversight
  • Vendor management & contract review
  • Internal team training & upskilling
  • Continuous roadmap iteration
  • Board / C-suite reporting support
Book a Consultation → Buy Now — $5,000/mo →

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Four phases. Measurable output at every step.

No black boxes, no month-three surprises. You know what we're doing, what it produces, and what comes next.

01
Diagnostic
We assess your current AI readiness across data, infrastructure, governance, skills, and business alignment. No assumptions — we go to the source.
AI Readiness Score
02
Strategy
We translate findings into a prioritized plan — which use cases to fund, which to kill, where to start, and how to sequence for maximum ROI.
Strategic Roadmap
03
Execution
We stay through implementation. Pilot selection, vendor management, team enablement, and governance — all under one engagement.
First Pilot Live
04
Transfer
Capability transfers to your team. You get the playbook, trained staff, and an AI operating model that doesn't depend on us being in the room.
Internal AI Capability

Built on 15+ years of real implementation — not theory.

We've shipped AI systems in manufacturing, fintech, logistics, and professional services. Not pilots. Production.

15+
Years of cross-industry AI experience
Enterprise-grade expertise — without the enterprise price tag. We've worked inside organizations large enough to understand what "scale" actually means.
$2–5M
Typical cost of a failed AI program we prevent
The readiness sprint pays for itself the first time it redirects a misdirected $500K vendor contract or stops an underpowered pilot from consuming six months of eng time.
2–8wk
Time to first measurable output
You have a scored assessment, findings report, and prioritized recommendations in your hands before most Big 4 teams have finished their SOW.

What execution looks like in practice.

Real engagements. Specific outcomes. More case studies are added as clients complete engagements and approve publication.

Manufacturing · 200 employees
AI Readiness Sprint reframes a $2M ML contract before the damage is done
A PE-backed manufacturer spent 8 months and $800K on a vendor relationship before anyone asked whether their operational data could actually support the model being built. The Readiness Sprint found three fundamental gaps: data scattered across 14 legacy systems with no unified quality layer, no labeling infrastructure for the ML pipeline, and a governance framework that would have created compliance exposure under their next investor audit. The sprint restructured the engagement scope, redirected $1.1M in projected Phase 2 spend, and delivered a 90-day data foundation plan that became the prerequisite for all future AI work.
→ $1.1M in projected waste redirected. AI-ready data foundation in place.
Financial Services · 150 employees
Strategic Roadmap gets AI moving again after 18 months of evaluation paralysis
A regional credit union's team had been evaluating AI vendors for 18 months without a single feature in production. Every proposal looked plausible; every evaluation stalled on the same cycle: review, defer, re-review. The root cause was institutional — no one internally had the context to distinguish credible AI from vendor noise, so the safe move was always to wait. The roadmap scored 11 candidate use cases against their actual data readiness and regulatory constraints, identified document intelligence as the highest-ROI first move, designed the governance structure around their data residency requirements, and built the board-level business case that finally unlocked budget. First production feature shipped in 9 weeks.
→ First AI feature live in 9 weeks. Three more queued with governance cleared.
Logistics · 320 employees
Fractional CAIO retainer builds AI capability that outlives the engagement
A regional carrier with 320 employees and 6 distribution hubs needed AI leadership for 12 months — they had the data, the operational density, and a genuine first-mover window, but no internal candidate who could both evaluate vendors and own implementation. Two pilots shipped to production: a route optimization engine integrated with their existing TMS, reducing unplanned downtime by 31%, and a demand forecasting model that cut manual reorder planning from 3 days per cycle to 4 hours. Critically, the engagement included a deliberate transfer phase — two internal analysts trained on the evaluation playbook, monitoring framework, and documentation so the third initiative runs without external support. The carrier's team shipped a third pilot on their own six months post-engagement.
→ $580K in annual efficiency gains. Third pilot shipped by internal team post-engagement.

The mid-market was stuck between two bad options.

Big 4 firms are too expensive. Boutique tech shops stop at the pilot. PathForge is the third option — strategy and execution, at mid-market cost.

Big 4 Consulting PathForge Boutique Tech Firms
Cost $500K–$10M+ $2.5K–$25K (or $5–10K/mo) $75K–$500K
Timeline to first value 6–12+ months 2–8 weeks 4–12 weeks
Who delivers Junior analysts, senior partners who sell Senior strategists with implementation track record Technical specialists — strategy often thin
After the strategy They leave. Implementation is your problem. We stay through production. Capability transfers. Limited implementation support
Governance Strong frameworks, priced for Fortune 500 Enterprise governance, mid-market pricing Often underpowered or skipped
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$2.5M
avg cost of failed
enterprise AI pilots

Ready to build AI strategy
that actually executes?

Start with a free AI Readiness Assessment — scored report, prioritized recommendations, no sales call required. Or book a 30-minute consultation to talk through your situation first.

Free assessment · Under 5 minutes · No commitment required
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