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Intelligence LayerFrom AI experimentation to operational advantage.

Most teams are already experimenting with AI. Very few businesses have turned that activity into policy, process, workflow, and measurable business value. Intelligence Layer helps close that gap.

Think of it as a practical Fractional AI Officer for growing businesses: part strategy, part implementation, part accountability.

Intelligence Layer Process

A structured path from goals to systems and measurable follow-through.

  1. 01

    Define Your Outcomes

    We align on what success looks like - revenue, time saved, efficiency, or growth.

  2. 02

    Audit Your Current Systems

    We map your workflows, tools, and bottlenecks to identify where value is being lost.

  3. 03

    Build Your Blueprint

    You get a clear, actionable plan for automation, AI tools, and workflow improvements.

  4. 04

    Implement & Optimize

    We deploy systems, refine performance, and track measurable improvements over time.

Offerings

A clear path from blueprint to implementation

Best First Step

Intelligence Layer Blueprint

$950

A focused strategic engagement designed to identify where AI fits in your business, what tools make sense, where access and cost should be controlled, and what should happen next.

Includes

  • Workflow and bottleneck review
  • AI and automation opportunity mapping
  • Tool stack recommendations
  • Team access and adoption guidance
  • Immediate quick-win recommendations
  • Scoped implementation project roadmap
  • 30–60 day priority plan

Ongoing Support

Guided Implementation

Starting at $1,200/month · 3-month minimum

Deliver outcomes through implementation over a structured engagement. This is where the real work happens: implementing core systems over time, refining them, and making sure your team is trained to use them.

What's Included

  • Build core AI workflows inside your business
  • Tool setup and system integration
  • Ongoing refinement and troubleshooting
  • Monthly working sessions
  • Ongoing support between sessions
  • Team training and onboarding

What to Expect

Every engagement is different, but most follow a progression like this:

  • Phase 1: Build core systems
  • Phase 2: Improve and stabilize performance
  • Phase 3: Drive adoption across your team
  • Phase 4: Expand into new projects and opportunities

Operational Scale

Fractional Chief AI Officer

Starting at $5,000/month

For leadership teams ready to treat AI as an operational priority, not a side experiment. We work at the executive level to align strategy, systems, and implementation across the organization.

What's Included

  • Executive AI strategy
  • Operational redesign
  • Implementation oversight
  • Leadership advisory
  • Quarterly initiatives

Maintenance Support

Ongoing support available for existing clients, pricing adjusted based on scope. Keep your systems running smoothly without overpaying for build work. Once your core systems are in place, we transition you to a lighter support model focused on stability and small improvements.

  • Ongoing system maintenance and adjustments
  • Quarterly optimization reviews
  • Ongoing support as needed
  • Minor workflow improvements as needed

Custom Solutions

Tailored AI systems and advanced workflow builds

For businesses with more specific needs, we scope and build tailored AI systems, internal tools, and advanced workflow automations designed around the way your business actually operates.

CRM automation
Website redesigns
AI workflow systems
Lead routing
Internal knowledge systems
AI visibility optimization
Custom GPTs
Reporting dashboards

Quoted based on scope.

The Gap

Your team is using AI. But your business probably is not.

ChatGPT logins, scattered prompts, and one-off experiments do not create business value on their own.

Without policy, tool selection, access control, workflow design, implementation support, and team adoption, AI stays stuck in the “interesting” category instead of becoming a real operating advantage.

Intelligence Layer is built to help owners move from curiosity to execution.

Implementation Example

From fragmented systems to a clear roadmap

A professional services firm came to us with good tools, scattered workflows, and no shared picture of what to fix first. Leads moved through manual handoffs. Content lived in too many places. AI experiments were happening, but nothing connected to how the business actually ran.

What We Did

  • Mapped workflows, tools, and bottlenecks across the business
  • Identified where time, follow-up, and handoffs were leaking
  • Delivered a scoped implementation roadmap with clear priorities
  • Defined practical next steps for systems, automation, and team adoption

The outcome was not a pile of AI recommendations. It was a clearer operating picture, a prioritized plan, and a practical path from experimentation to implementation.

See a Sample Blueprint

A lot of businesses do not need more random AI ideas. They need someone to look at how the business actually runs and find where time, money, attention, and follow-up are leaking.

This sample shows the structure and thinking behind an Intelligence Layer Blueprint: business analysis, quick wins, workflow improvements, and scoped project opportunities.

Actual client blueprints go deeper. They include AI tools, services, process changes, automation ideas, and implementation recommendations specific to your business.

In many cases, the best starting point is not a flashy AI tool. It is organizing the data, workflows, and handoffs that AI will eventually depend on.

Guides

Start with the right questions before choosing tools.

Two practical reads on using AI without wasted spend, and turning experiments into workflows your team can actually adopt.

Who This Is For

Practical implementation for growing teams

  • Owner led businesses curious about AI but not sure where to start
  • Enterprises already experimenting with AI but lacking structure
  • CEOs who want practical implementation
  • Companies looking to save time, reduce friction, and move faster

How We Work

Stop experimenting with AI. Start building it into the business.

We'll implement smarter systems, better workflows, stronger team adoption, and a clearer return on investment, time and spend.