Fractional AI Leadership for Mid-Sized Companies Without CTOs

CEOs: AI is moving too fast to decide alone. Get a clear plan in four weeks.

We partner with small and mid-sized companies to build AI-centric organizations.

Clients served80+
Manual hours saved60k+
Workflows automated500+
Industries served12+

Track record of our technical team, led by Taran Agarwal, across client AI and automation deployments. Representative projects are listed under Projects.

Fractional AI Leadership & Architecture

Dabbling vs. Architected

Dabbling is what most companies are doing today. Dabbling is adding AI functionality to individual workflows on a willy-nilly or ad hoc basis. It may improve individual workflows, but it ignores the business as a whole.

An AI-architected, or AI-centric, company starts from the other end: the data and the business processes, not the tools. The foundation is making the company's data (CRM, ERP, accounting, support tickets, documents, email, operational systems) accessible to an AI infrastructure in a governed, secure and consistent way, so it can draw on the full context of the business.

The difference is roughly the difference between employees each buying their own power tools and a company redesigning its factory around electricity.
Dabbling in AI

Bolt-on projects

AI
  • Automating the wrong things
  • Leaving the deepest, highest-impact projects untouched
Architected

Designed in

Sales Finance Operations Service People AI agents+ real-time data
  • Integration of AI agents into the structural infrastructure of the business
  • Every function connected to one shared core of intelligence and data
Fractional AI Leadership Team

Leadership

Wayne Van Dyck

Wayne Van Dyck

Managing Partner

CoScaling AI is led by Wayne Van Dyck. He has an extensive background in all aspects of business across many industries. He's been a Wall Street investment banker, venture capitalist, turnaround specialist and serial entrepreneur.

He has started companies in alternative energy, broadcasting, software, internet services, corporate training, international telecommunications and AI micro-businesses. He has executed multiple strategic partnerships with Fortune 500 companies and raised over $500 million.

Taran Agarwal

Taran Agarwal

Automation & AI Technical Lead
LinkedIn profile

Taran is CoScaling AI's automation expert, with education in data science, technology and business operations. While studying at NYU, he built and sold his first application at the age of 20.

He worked at both EY and BlackRock. Since then, he has delivered AI and automation projects for 80+ organizations, including SMBs, startups, public companies and universities.

Market Reality & Industry Paradigm Shift

What We See

In 5 years, there will be two kinds of companies: those that have become AI-centric and those struggling to keep up with them.

The Legacy Paradigm

Today's Company

Today most companies run on a hierarchical, people-driven decision-making model: information moves slowly, up and down the chains of managers and meetings. Processes and decisions are slow and expensive.

  • Information trapped in manager silos and interminable meetings
  • Decision bottlenecks that inflate overhead and delay growth
  • Linear cost scaling: every new dollar requires new headcount
Revenue →Cost grows linearly
The Exponential Paradigm

Tomorrow's AI-Centric Company

Tomorrow they're being replaced by hybrid systems composed of AI agents supervised by people. Decisions and processes are fast and cheap. Productivity explodes. Companies become exponential.

  • Autonomous AI agents handling repetitive data and workflows
  • Human team operating as high-leverage decision supervisors
  • Exponential margin expansion: scaling revenue without linear headcount
Output compoundsCost stays flat
The New Systems View

An AI core at the center of the business

But exponentiality requires a new systems view. It's built around a core of AI intelligence and real-time data supporting the whole organization. And everything gets much cheaper and really speeds up.

AI Core Architecture: an AI intelligence and real-time data core connected to every function, supervised by people AI Core agents + real-time data Sales & Marketing Finance Operations Customer Service People & HR Leadership Outer ring: human supervisors
Interactive ROI Estimator

What delay is costing you

Drag the sliders to model how much repetitive, people-driven work your team handles, and what an AI-exponential core could return each year.

Estimates are illustrative, based on a 50-week year and the automation rates we've measured across deployed client systems (typically 50–80%). The Phase I assessment produces project-specific figures.

Estimated annual upside · labor cost recovered
$2.77M/yr
Hours reclaimed
50.4k hrs
Per employee
$23,100

That's the headcount-free capacity an AI core unlocks, before counting faster decisions, earlier churn detection or revenue acceleration.

Take the free AI Maturity Snapshot
Methodology & Risk-Managed Roadmap

How We Work

A structured three-phase engagement designed to prove financial ROI before the full AI Core installation.

Proven Enterprise Track Record

Projects to Date

We've built and deployed AI systems across a dozen industries, with measurable results. Client names are withheld; every outcome is from a live deployment.

Swipe to see all 14 projects →

Free 20-Minute Zoom

Don't wait to start your AI transformation.

A free 20-minute conversation to walk through what your AI Maturity Snapshot showed, see whether we are a good fit, and explain how the Phase I assessment works.

Phase I assessment · 4 weeks · No charge
  • AI adoption score and internal champions matrix
  • Launch strategy and your top 5 high-ROI opportunities
  • 2 projects scoped and ready to build
Later phases · priced after Phase I
  • 2 custom AI builds and a CEO dashboard
  • Fractional AI leadership
Book your free 20-minute call

The call is free. If we are a fit, every engagement starts with the Phase I assessment: 4 weeks, at no cost.