Service for Omaha mid-market companies
AI readiness assessment — Omaha
A 2–3 week structured diagnostic that surfaces where AI fits in your organization (and where it doesn't yet), before you commit to a rollout. The point isn't to score the company. It's to tell you what's missing before the rollout starts.
Text Rosey · Schedule a call →How we run this in Omaha
Same method anywhere; the local context shapes the work.
- Workflow inventory — interview operations, IT, Security, Legal, HR, and the business unit owners. Map which workflows have AI-shaped problems vs. which don't.
- Data foundations review — where data lives, how clean it is, what's API-accessible, what's still in PDFs.
- Tool surface scan — what AI is already in use (sanctioned and shadow), what tools your team is using on personal accounts.
- Governance state audit — AI use policy, approved tool list, named accountability, attestation infrastructure.
- Regulatory exposure mapping — NAIC IGD-H1 if you write insurance, OCC/FDIC if you bank, HIPAA + Section 1557 if you touch PHI, NITC 8-609 if you contract with the State of Nebraska.
- People readiness — manager preparedness, training infrastructure, change-load already in flight.
- Strategic alignment — does the proposed rollout actually map to the highest-payback workflow you have, vs. the most-pitched one?
What you get
- Written readiness report (15–25 pages) covering all seven assessment areas
- Three sections: what's working, what's missing, what to do before/during/after a rollout
- Recommended sequence — which workflow to wedge first, which gaps to close in parallel, what can wait
- Risk register — gaps that would block a rollout if left unaddressed
- Cost model — three-layer cost estimate (tools / API / governance + change-management) for the recommended sequence
90-day shape
Plan · Weeks 1–2
Weeks 1–2: discovery interviews + workflow walk-throughs + data review.
Build · Weeks 3–10
Weeks 2–3: synthesis, drafting, review with leadership, finalize the report.
Train · Weeks 11–13
After-engagement: 30-day follow-up to answer questions and revisit any sections that surfaced new questions during your team's review.
FAQ — from Omaha leaders
- When is an assessment the right starting move?
- Three signals. (1) Multiple stakeholders disagree about where AI should land first. (2) You've shipped one workflow and don't know what to do next. (3) You're regulated (insurance, banking, healthcare) and need to understand the compliance overlay before committing to anything. If any of those apply, an assessment de-risks the bigger commitment.
- Can we do an assessment ourselves?
- Yes — and the cost of doing it well internally is typically more than buying it externally. Internal assessments tend to underweight governance and over-weight enthusiasm. The right answer is often hybrid: internal owns workflow inventory; external owns governance and regulatory review.
- How does this differ from ai-rollout-consulting?
- Rollout consulting builds and ships. Readiness assessment diagnoses and recommends. Most engagements that start as readiness assessments turn into rollout consulting if the diagnosis points there — but the assessment can also recommend 'wait,' 'fix governance first,' or 'pick a different workflow,' which a rollout-only engagement structurally can't do.
- What if the assessment finds we're not ready?
- Then you save 6–12 months of stalled rollout. The assessment's value is highest when the recommendation is uncomfortable — 'fix data foundations first' or 'address governance gap first' or 'this isn't your highest-payback workflow.' A readiness assessment that just says 'green light, proceed' isn't doing the diagnostic work.
- Will this cost less than a rollout?
- Significantly. Most mid-market readiness assessments are in the $25K–$60K range over 2–3 weeks. Compared to a 13-week rollout in the $80K–$250K range, the assessment is a small fraction. For organizations not yet ready for rollout, the assessment is what prevents the larger investment from going sideways.
Sources
- About 6% of organizations qualify as 'AI high performers' — those attributing 5%+ EBIT impact to AI — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- AI high performers are nearly 3x as likely as others to say their organizations have fundamentally redesigned individual workflows — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- Roughly two-thirds of organizations have not yet begun scaling AI across the enterprise — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- Only 49% of organizations have AI use policies — The State of AI in HR 2026, SHRM (Society for Human Resource Management), 2026
- Among non-adopters, 67% cite lack of awareness of AI capabilities as a barrier — The State of AI in HR 2026, SHRM (Society for Human Resource Management), 2026
- 69% of respondents expect implementing a governance strategy will take more than one year — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
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