AI Opportunity Blueprint™

AI Opportunity Blueprint™

Ten days. Three workflows worth fixing. One number for each.

A fixed-fee operational diagnostic for owners and operators of $5M–$50M companies. You'll leave knowing what to fund, what to defer, and what to delete - with a named mechanism for every recommendation. $5,000 flat. If we can't find 200 hours a year of removable work, you don't pay.

Free, 20 minutes. Bring your questions and we'll tell you whether the Blueprint fits. Ordering directly? Financing is available at checkout.

10 daysFocused advisory sprint
3–5Prioritized AI use cases
30/60/90Implementation sequence
People-firstProcess before platforms

Not the right fit if...

  • You only want a prompt pack, generic chatbot, or list of popular AI tools.
  • You are not willing to share enough operational context to make the recommendations specific.
  • You want to automate without addressing ownership, SOPs, data quality, or team impact.
  • You need implementation before diagnosis.
  • A corporate parent, not you, decides which tools your plant or division can buy.
Economic stakes

The Cost Is Unclear Execution.

Most AI initiatives do not fail because the tools are weak. They fail because leaders are trying to make investment decisions without a clear view of what is worth improving, what needs cleanup, what requires guardrails, and what can create business value without creating operational chaos.

You are already spending time, attention, and budget on AI.

The risk is doing it without a clear operating map.

  • Repetitive work keeps capable employees stuck in low-value tasks.
  • Disconnected tools create more reporting and handoff friction.
  • Unclear ownership turns AI into another half-owned project.
  • Poor governance creates avoidable data and privacy risk.
  • Tool-first decisions create spend before strategy.
Operating lens

Start with people, process, and technology, in that order.

The Blueprint helps leadership separate useful AI opportunities from expensive distractions by looking at how work actually moves through the business.

01

People

Where are capable people stuck re-keying quotes, chasing order status, rebuilding the same report, or working a schedule by hand?

02

Process

Which handoffs between email, spreadsheets, and the ERP, which approvals, and which customer status updates create avoidable delay?

03

Technology

Which AI, automation, or workflow improvements are feasible, secure, and worth building inside the stack you already run. We don't resell platforms and we don't pick one before the process is mapped. If your company hasn't standardized on an AI tool yet, the Blueprint still holds; it tells you what the tool has to do before you choose it.

Why AI work stalls

AI work stalls on unowned change load.

AI gets messy when teams are asked to absorb another platform, another workflow, and another internal project without a clear owner, sequence, or governance model.

Tool-first buying

The stack grows before the operating case is clear.

Disconnected data

Teams need automation, but the inputs are scattered, inconsistent, or sensitive.

Half-owned initiatives

AI becomes a side project with no clear process owner or success metric.

Missing guardrails

Data, privacy, approval, and human review rules are handled too late.

What the report looks like

A leadership-ready package your team can actually use.

The Blueprint is delivered as a written roadmap, decision tables, and a walkthrough. It answers three questions: what to fund, what to defer, what to delete.

  • Ranked use-case table with business value and feasibility notes
  • Workflow and governance observations
  • Recommended next-step options for internal, vendor, or eMediaAI-supported implementation
Sample output view

Blueprint Decision Package

Use Case 01Quote-to-cost handoff between spreadsheet and ERP · High value
High value
Use Case 02Reporting cleanup and dashboard preparation
Quick win
Use Case 03Service intake triage and knowledge retrieval
Governance needed
Next 90 DaysSequence, owners, dependencies, and success measures
Roadmap
10-day sprint

A focused path from intake to executive roadmap.

The process is designed to protect leadership time while still giving enough operational context to make the recommendations useful.

Review people, process, data, and governance before choosing tools.

Day 1: Leadership intake

Clarify goals, constraints, departments in scope, current systems, pressure points, and business outcomes.

Days 2–4: Workflow and data review

On your floor for one of these days if you're within a day's drive of Fort Wayne. Identify repetitive work, handoff friction, data availability, security considerations, and adoption barriers - by watching the work, not by reading about it.

Days 5–7: Opportunity scoring

Rank use cases by business value, feasibility, risk, complexity, and speed to operational impact.

Days 8–9: Roadmap architecture

Define build sequence, ownership model, stack direction, governance controls, and success metrics.

Day 10: Executive walkthrough

Review the Blueprint, align on priorities, and leave with a roadmap your team can use.

Day 40: Check-in call

30 days after delivery, one call to review what moved, what stalled, and whether the sequence still holds.

Authority

Built by an operator who configures the systems he recommends.

The AI Opportunity Blueprint™ is led by Lee Pomerantz, Founder of eMediaAI and a Certified Chief AI Officer with more than two decades of experience building digital systems, marketing automation workflows, CRM infrastructure, and operational growth engines.

The Blueprint is not designed to produce a generic list of AI tools. It is designed to help leadership identify where AI can reduce friction, support employees, improve throughput, and connect implementation to measurable business priorities.

Certified Chief AI Officer leadership

Authority for AI adoption strategy and responsible implementation planning.

CRM + automation experience

GoHighLevel, HubSpot, CRM, marketing automation, and workflow infrastructure perspective.

Workflow-first diagnostic process

Starts with the operating reality before recommending platforms, prompts, or automations.

Governance-aware adoption lens

Identifies where data, privacy, human review, and ownership rules should be defined early.

Implementation boundary

Advisory first. Implementation only if it makes sense.

The Blueprint stands on its own. You can execute internally, bring the roadmap to your preferred vendor, or explore a done-with-you or implementation engagement with eMediaAI after the advisory sprint.

Readiness

Confirm whether the workflows, data, and people side are ready for AI-supported change.

Strategy

Prioritize the use cases worth funding and the sequence that reduces wasted effort.

Deployment

Move into implementation only after the scope, owner model, and guardrails are clear.

Fit review

What Happens on the Fit Review

The fit review is a focused advisory conversation to determine whether the AI Opportunity Blueprint™ is the right first step for your organization.

If the fit is clear, we will outline the next step. If not, you will still leave with a clearer view of what needs to be true before AI work should begin.

Fit-first standard: If we do not believe the Blueprint can produce useful decision clarity from the available context, we will not recommend moving forward with the sprint.

Bring the one process that hurts. Within 24 hours of the call you'll get a one-page note naming the two or three workflows where AI would pay off first - whether or not you book the Blueprint.

We will review:

  • ✓Your current AI goals or internal pressure points.
  • ✓The workflows or departments creating the most drag.
  • ✓Available process notes, SOPs, CRM documentation, or automation maps.
  • ✓Team capacity, ownership, and leadership readiness.
  • ✓Data, privacy, or governance considerations.
  • ✓Whether a 10-day sprint can create useful decision clarity.
Fit

Built for leaders who want clarity before commitment.

The Blueprint is most useful when the business has real operational complexity and leadership wants to invest responsibly, not chase the latest AI trend.

Best fit

  • Companies at $5M–$50M in revenue where quoting, costing, order entry, scheduling, or reporting still runs partly on spreadsheets and email.
  • Independently owned, or answering to a board or investors who will ask for the number before anything is funded.
  • Companies using CRMs, spreadsheets, ticketing tools, forms, automation platforms, or disconnected reporting workflows.
  • Leadership teams that can fund a defined diagnostic and act on a practical roadmap if the business case is clear.
  • Organizations that care about employee adoption, data safety, governance, and measurable business priorities.
FAQ

Common questions before the Blueprint.

What exactly is the AI Opportunity Blueprint™?

It is a 10-day operational diagnostic that identifies, scores, and sequences the best AI opportunities inside your business. The output is a leadership-ready roadmap with use cases, business value logic, effort estimates, risk considerations, governance guidance, and implementation next steps.

Should I use the AI ROI Calculator before booking a Blueprint Fit Review?

Yes, if you want to pressure-test the business case first. The calculator helps estimate annual value across manual hours removed, cycle-time reduction, error reduction, and capacity reclaimed. The Blueprint Fit Review is the next step when you want to validate the assumptions, constraints, governance needs, and implementation path.

How much does the Blueprint cost?

$5,000, fixed. Ten days. There are no scope add-ons. You can order directly or book the free fit review first; the price is the same whichever you choose. Financing is available at checkout. If the Blueprint doesn't identify at least 200 hours a year of removable work, each with a named mechanism and an implementation estimate, you don't pay. You keep the document either way.

How much time will this take from me and my team?

About three weeks from signature to the final presentation: one week of pre-work on your side, then 10 working days with us. You give about 3 hours of meetings plus your own interview: a 30-minute check-in on day 4, a 60-minute workshop on day 8 where you sign off on the priority list and the numbers, and the 90-minute presentation on day 10. Your team gives up to 6 interviews of 30 to 45 minutes and 2 to 4 short Loom recordings of the tasks that hurt most, around 4 to 5 hours combined. Finance sends one data pull covering payroll and task volumes. Day 1 starts when the pre-work comes back.

Will you need access to sensitive data?

Not by default. The sprint can usually begin with workflow documentation, SOPs, process notes, CRM or automation screenshots, reporting samples, and stakeholder context. If sensitive data is involved, access and handling expectations are discussed before work begins.

We're a division or plant of a larger company. Does this work for us?

Usually not, and we'll tell you on the fit review. If a corporate parent decides which tools you can buy, the Blueprint produces a roadmap you can't act on. The exception is a plant with its own P&L and its own purchasing authority for pilots under a set amount - bring that number to the call.

Our people will read "AI diagnostic" as "headcount cuts." How do you handle that?

We decline engagements whose goal is eliminating jobs; it's in writing. The Blueprint scores every workflow on the hours it returns to the people doing it, and the change plan names who owns each one afterward. Most teams hear that in the first week and relax.

Who should attend the fit review?

Usually the founder, CEO, COO, department lead, RevOps lead, or another operator who understands where time, handoffs, reporting, customer experience, or internal execution are breaking down.

What if we are not ready for AI implementation?

That is often exactly why the Blueprint is useful. The sprint can identify whether your next move should be process cleanup, governance, team training, data readiness, or implementation.

Do we own the deliverables?

Yes. You receive the final Blueprint materials for internal leadership review, planning, and implementation conversations. Any implementation engagement after the Blueprint is separate.

Is this just a list of tools?

No. Tool recommendations only come after workflow, data, risk, and adoption factors are reviewed. The purpose is to define where AI belongs in the operating model and what should be built first.

Do you implement the roadmap?

The Blueprint stands on its own. After delivery, you can execute internally, hire your preferred vendor, or explore a done-with-you or implementation engagement with eMediaAI.

What happens after the Blueprint?

Three paths, your choice: run it internally, hand it to your vendor, or have eMediaAI build it. Implementation and the fractional CAIO retainer are scoped and priced separately after delivery.

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