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Buyer's Briefing · For executives evaluating Solve IQ

The practice layer for enterprise AI operations. Solve IQ converts AI Fluency training into deployed solutions not certificates, not pilots. Live internal tools, measured in hours saved per month, owned by your workforce.

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The capability gap is bigger than the awareness gap

Six dimensions compared: industry-leader benchmarks today vs. where the average enterprise sits. Solve IQ targets each axis directly that’s the strategic difference vs. point-solution AI training.

AI Fluency

% of workforce at L3+

  • Today: 18%
  • Possible: 62%

Build Velocity

days from problem → live

  • Today: 120d
  • Possible: 30d

Manager Literacy

can report fluency level

  • Today: 33%
  • Possible: 90%

Deployment Rate

live agents in production

  • Today: <5%
  • Possible: 45%

Cross-Dept Reuse

solutions reused by another team

  • Today: 8%
  • Possible: 55%

Tribunal Validation

solutions adversarially reviewed

  • Today: 0%
  • Possible: 100%
Industry-leader benchmarks synthesized from McKinsey (AI fluency, manager literacy), Stanford AI Index 2025 (deployment rates), and EON’s own observations across 4,400+ institutional customers (build velocity, cross-dept reuse).

Run the math for your organization

The default values produce the example from §12.4 of the product spec: 500 employees, $1.2M/yr investment, $540k/yr direct value 45% payback before counting error reduction, retention, or competitive advantage.

Operational Assumptions

Employees on Solve IQ 500
$200 per user per month 10k max
Fully-loaded hourly cost $75
Avg. knowledge-worker hourly cost (US, mid-large enterprise) $200 max
Solutions deployed per year 30
Conservative: 30. Mature deployment: 80–100+. 200 max
Hours saved per solution per month 20
Each deployed solution saves this many person-hours/month. 80 max

Financial Intelligence Ledger

Annual investment $1,200,000
Hours saved per year 7,200
Direct annual value (labor) $540,000
First-year payback rate
45% VALIDATED
Direct labor value only. Excludes error reduction, retention impact, training cost displacement, and competitive position. Calculated strictly according to EON spec rules.

How Solve IQ works

One pipeline. Problem identification is embedded in the training journey, so solutions surface as a natural by-product not a separate “AI initiative” that needs organizational buy-in.

1

Interview

7-stage AI mentor produces a Problem Card.

2

Match

Semantic matching vs. 20 templates.

3

Scope

MoSCoW · SolveSpec (11 fields).

4

Build

VibeFlow + Launch Kit · 2–5 active days.

5

Tribunal

3 AI avatars · adversarial validation.
  • Total time: Live in 30 days
  • Active builder time: 2–5 days
  • Coverage: ~95% of automatable enterprise work

The Tribunal: why these solutions actually deploy

The Economist

ROI Challenger

“What’s the payback period? Have you accounted for build + maintenance cost? Show me the labor-hour math.”

The Psychologist

Adoption Challenger

“Who in the department will resist? What’s the change management plan? Have you talked to the people whose work this changes?”

The Pragmatist

Operations Challenger

“Who maintains this Monday at 8am when the API breaks? Does IT know it exists? Where does the on-call rota live?”