REASSESSED AT EVERY PHASE — SYSTEMATICALLY, NOT FROM MEMORY

AIEco Finds Exactly Where Your AI Investment Will Fail — Before It Does.

A diagnostic platform, not an advisory summary: we assess workflows, infrastructure, and human adoption, then quantify the ROI at risk.

Three statistics about AI: 95% of AI workflow deployments fail (MIT NANDA, 2025), 72% of AI pilots deliver zero ROI (Gartner I&O, 2026), and 73% are more likely to succeed with structured change management (Prosci Research).

THE DIAGNOSTIC

Deeper Than a Capability Audit.

01

Three Dimensions, One Assessment

We assess workflows, infrastructure, and human adoption together — not as three separate engagements, but as a single integrated diagnostic.

A capability audit tells you what your AI can do. AIEco tells you where it will fail, and what that failure will cost.

02

Governance & Data Sovereignty

The assessment captures governance posture and data sovereignty signals most audits never touch — the structural risk factors that only surface after deployment.

03

A Financially Quantified Roadmap

Findings are translated into a financially quantified, defensible ROI roadmap — a sequenced plan you can take to your CFO, not a slide of recommendations

04

Validated, Not Estimated

Every finding is validated through structured stakeholder interviews and statistical analysis — never survey averages or self-reported confidence scores.

At the center of every failed AI investment sits the same structural cause: the orchestration gap between capability and readiness. AIEco addresses the three systemic orchestration gaps that create it — assessed together, sequenced together, resolved together.

Every advisory firm summarizes.AIEco synthesizes.

WATCH FIRST

Before You Read Another Word About AI Transformation.

Most enterprise AI conversations start with technology. This one starts with the seam — the structural gap that every AI investment is already falling into, and why the conventional advisory model cannot bridge it.

Jonathan E. Bunce, Founder of AIEco Partners™, explains the three-gap problem, the Connector Model™, and why synthesis — not summary — is the only diagnostic that can tell you where your AI transformation is actually breaking down.

  • Why 95% of AI workflow deployments fail — and where the failure actually lives

  • The three orchestration gaps every enterprise is navigating right now

  • What “owning the seam” between AI Investment and AI Value actually means

  • How the ORP™ diagnostic depth - all three assessments - synthesis can surface

THE PROBLEM

Three Gaps. One Crisis. Zero Existing Solutions.

Every organization deploying AI today is navigating the same invisible minefield. The problem is not the AI model itself — it is the three orchestration gaps that prevent models from ever delivering sustained business value.

  • Gear inside a circular flow diagram with three arrows indicating continuous process or cycle.

    Workflow Orchestration Gap

    The AI workflow layer is disconnected from core business processes. Models function in isolation. Adoption fails. ROI is never realized. Your AI investment sits idle at the edge of your organization — never touching the work that actually matters.

  • Outline of a database server with a surrounding circular arrow, representing data backup or synchronization.

    Infrastructure Orchestration Gap

    AI infrastructure is not architected to support AI workload requirements. Legacy constraints block production scale — regardless of how sophisticated the software layer is. You can deploy the most advanced model in the world and watch it stall on infrastructure that was never designed to carry it.

  • Outline icon of two people, one in front and one slightly behind, with a speech bubble or communication symbol near the second person.

    Human Adoption Orchestration Gap

    The people layer is unprepared to sustain behavioral change. Technical success does not convert to organizational outcomes. Without structured change management — confirmed by Prosci Research as the single factor most correlated with success — AI transformation dissolves within 90 days of deployment.

These three gaps do not operate independently. They compound. An organization blocked at the infrastructure layer cannot scale workflow adoption. An organization that scales workflows without change management does not sustain results. The gaps must be assessed together, sequenced together, and resolved together.

AIEco Partners LLC™ is the only firm that does exactly that.

A gold arrow pointing to the right.
Golden right-pointing arrow with a black background

THE SOLUTION

The AIEco Connector Model™ — Owning the Seam, Not the Stack.

OPERATIONAL & BUSINESS LOGIC

Workflow Orchestration

Assessment · 5 Dimensions

INTERCONNECTION INFRASTRUCTURE

Infrastructure Readiness

Assessment · 7 Dimensions

ORGANIZATIONAL CHANGE

Change Readiness

Assessment · 6 Dimensions


AIEco PARTNERS™ · BRIDGE ARCHITECTURE BLUEPRINT

The Integrated Three-Gap Synthesis — Delivered Exclusively by AIEco

Most AI advisory firms operate within a single layer of the stack. They optimize the model. Or the infrastructure. Or the change program. None of them bridge all three — because no integrated methodology has existed to do so.

AIEco Partners LLC™ was built to own the seam between AI investment and AI value.

The AIEco Connector Model™ is a proprietary bridge methodology that assesses, sequences, and resolves all three orchestration gaps in a single integrated engagement. Delivered across 18 dimensions — 5 workflow, 7 infrastructure, 6 human adoption — the assessment is conducted through a frictionless Three-Pass audit via online portals, requiring zero disruption to your operations.

The result: the first cross-industry, cross-gap, longitudinal AI readiness assessment with ROI sequencing imperatives in existence.

We also provide a DFCS - Delay Factor Calculation Standard providing a monthly Cost-of-Delay for proper structural implementation.

Not another pilot. Not another framework. The ORP agentic engine produces five proprietary analytical signals/outputs - each impossible to surface without the full three-gap architecture. Delivered automatically. Every engagement. Every time.

CASE IN POINT

From Diagnostic to Dollars:
A Regional Insurance Carrier.

The same three-gap methodology, applied to a completed, anonymized engagement — board-approved outcomes, not an illustrative estimate.

Information about Scenario B recommended investment, showing a $1.01 million total investment, 312% projected 3-year net ROI, and a 17-month payback period.
A presentation slide with the title "Compounding Value, Phase by Phase." It shows that at $18,400 per day in confirmed delay exposure, a client's Scenario B investment pays for itself within 55 days. The slide includes dollar amounts: $18,400 per day, $552,000 per month, and $5.5 million confirmed annual exposure.
Business infographic showing case profile with $500 million annual revenue, 1,300 employees, in the health insurance sector.

Anonymized case example for demonstration purposes only — client identity withheld per NDA; not a guarantee of results.

THE PARTNERSHIP MODEL

Two Engagement Options.

1


Pre-AI Investment

Due Diligence Partner

Independently verifying the AI readiness and value case behind every investment decision.

  • Condensed three-gap read on a target’s AI posture, delivered inside your diligence or evaluation timeline
  • Surfaces technical, infrastructure, and adoption risk before capital commits — not eighteen months later, in a disappointing return
  • Converts vendor claims into an independently tested finding — structured interviews scored against statistical analysis of the respondent population, not a single survey average

AIEco plugs in beside your team the way a pricing or procurement playbook does — a standardized diagnostic you deploy, not a vendor your organization has to manage.

2


Post-AI Investment

Value-Add Partner

Turning AI spend into a tracked, measurable value-creation lever across the relationship.

  • Full three-gap assessment folded into the first 100 days of the engagement
  • DFCS-quantified exposure and a prioritized remediation roadmap for every client, account, or portfolio company
  • Standardized and repeatable — one dashboard view of AI value-at-risk across every relationship, every quarter

One methodology, deployed identically pre-investment and post-investment — new engagements, existing accounts, and diligence targets alike.

The Right Client — With or Without a Plan.

WHO THIS IS FOR

An annual checkup catches problems before the pain does. This diagnostic works the same way — industry-agnostic, and useful whether or not an AI plan exists yet.

1


With an AI Plan

We Pressure-Test It

Independently verifying the AI readiness and value case behind every investment decision

  • The same three-gap diagnostic used on live engagements, run against your existing roadmap and assumptions
  • Surfaces exactly which investments are likely to underperform before more capital follows them
  • Converts internal confidence into an independently tested, evidence-based finding

2


Without a Plan Yet

We Build the Plan

The assessment isn’t a prerequisite for a strategy — it produces one.

  • Full three-gap assessment establishes your Archetype and baseline exposure — no existing strategy required
  • DFCS-quantified findings become the prioritized roadmap itself, not a preamble to one
  • Board-ready sequencing, ready to execute the moment you choose to invest

A plan in hand or not, the same assessment applies — pressure-test what exists, or build the roadmap from what we find.

WHO’S BEHIND THE DIAGNOSTIC

One Methodology, Delivered by a Full Advisory Team.

AIEco is not a generalist advisory practice, and not one person working alone — it is a standardized methodology, run by a trained advisory team and category specialists.

1


Founder & Methodology

Due Diligence Partner

Independently verifying the AI readiness and value case behind every investment decision.

  • Published AI-Powered Partnerships: Revolutionizing Alliances in the Age of GenAI (2024) — the book that defined the three-gap thesis
  • Trains every AIEco advisor to this standard, and personally reviews every engagement’s findings
  • jonathan@aiecopartners.com

2


The Delivery Team

Value-Advisors and Category Specialists

Every engagement is staffed by a team, run to one standardized operating manual — not one consultant working alone.

  • Every stakeholder conversation is led by a senior AIEco advisor, trained on the same Phase 0–3B operating manual
  • Infrastructure, Workflow, and Human Adoption gaps are each assessed by a qualified category-specialist partner
  • Jonathan personally reviews scoping and the Blueprint readout — the team runs the diagnostic in between

One accountable methodology, one operating manual, one team — not a single advisor working alone.

PRICED BY PACKAGE, CONFIRMED AT SCOPING

The AIEco ORP Archetype Framework transforms three gap scores into one integrated organizational diagnostic. Every enterprise AI initiative maps to one of five archetypes — each with a distinct remediation sequence and ROI release pathway.

The Engagement Investment.

Full Engagement

$29,500–$35,000

Comparison of two assessment packages: Package 1 costs $19,500 and includes a full three-gap AI readiness assessment with up to 24 respondents and six stakeholder interviews; Package 2 costs $25,000 and includes the same assessment plus interviews, with up to 35 respondents and 10 stakeholder interviews.

Both packages deliver the same underlying diagnostic — your ORP™ Archetype, five proprietary intelligence outputs, a prioritized risk registry, and a scoping recommendation for what follows. The difference is respondent depth and interview coverage.

Bridge Architecture™ Design + Bridge Architecture™ Blueprint + DFCS™ — a flat $10,000, applicable to either package.

Standard terms: 50% at signing, 50% at final deliverable. Figures reflect typical AIEco engagements and are confirmed during scoping.


Both packages deliver the same underlying diagnostic — your ORP™ Archetype, five proprietary intelligence outputs, a prioritized risk registry, and a scoping recommendation for what follows. The difference is respondent depth and interview coverage.

Your AI Investment Deserves a Structural Answer.

Not another audit. Not another framework that lives in a slide deck. A proprietary agentic diagnostic that tells you — with precision — where your AI transformation is failing, which gap to close first, and what the financial exposure is if you do not.

aiecopartners.com · Pronunciation: A-I-Ee-Koh