Service for Lincoln mid-market companies
AI rollout consulting for Lincoln companies — strategy through cutover
We run AI rollout end-to-end for Lincoln insurance, banking, agtech, healthcare, and professional-services mid-market companies. Strategy on day one, working software at week eight, trained staff by week thirteen. Fully managed.
Text Rosey · Schedule a call →How we run this in Lincoln
Same method anywhere; the local context shapes the work.
- Diagnose first. Two weeks understanding your business, your workflows, your data, your team — not pitching tools.
- Pick the highest-payback workflow as the wedge. AI's value comes from workflow redesign, not faster execution of existing steps.
- Build inside your real systems — your AMS, your core, your EHR, your ERP. No demos, no toy data.
- Stage the rollout. Pilot with a small named group. Iterate on real usage. Expand once the metrics earn it.
- Train, document, and cut over. Hand off runbooks. Hand off the AI use policy. Hand off the monthly cadence.
- Stay through the first month of production. Fix what breaks, train what's missed, document what shifts.
What you get
- AI strategy doc — what you're solving, why, and how we'll know it worked
- Workflow redesign for the wedge use case — current state vs. target state
- Working AI in production, integrated with your real systems
- AI use policy + approved tool list (drafted with Legal/IT)
- Trained staff, manager-led handoff, runbooks, monthly cadence
- 30/60/90-day post-cutover support
90-day shape
Plan · Weeks 1–2
Weeks 1–2: business + workflow + data diagnostic. Identify the wedge. Set the metrics.
Build · Weeks 3–10
Weeks 3–10: build into your real systems. Pilot with a named group at week 6. Iterate on actual usage.
Train · Weeks 11–13
Weeks 11–13: staged rollout, manager-led training, runbooks, cutover, post-cutover support.
FAQ — from Lincoln leaders
- Why hire a consultant when we could just give our team Copilot licenses?
- Because the data shows that's where most rollouts stop. McKinsey's 2025 State of AI found nearly two-thirds of organizations have not begun scaling AI across the enterprise, and only ~6% qualify as 'AI high performers' attributing 5%+ EBIT impact. The differentiator: high performers are nearly 3x as likely to have fundamentally redesigned workflows.
- How big is a typical Lincoln engagement?
- Roughly 13 weeks at full intensity, then a 30/60/90 follow-up. We work with mid-market companies — typically 50–500 employees in Lincoln, sometimes up to the size of a Nelnet division or an Ameritas business unit.
- What about the 'pilot purgatory' problem?
- Real risk. Deloitte's Q4 2024 survey found over two-thirds of organizations reported only 30% or fewer of their experiments would scale within 3–6 months. We avoid this by building in production from week 3, not in a sandbox — and by picking the wedge use case based on highest payback.
- Will it really only take 90 days?
- For one wedge workflow, in production, with a trained team, yes. Full enterprise rollout takes longer, and Deloitte found 69% of organizations expect implementing a governance strategy will take more than a year. We sequence: wedge first, then expand.
- What does it cost?
- Engagements are scoped per-workflow. Most mid-market wedge engagements are in the range of a senior hire's annual cost — substantially less than the all-in cost of a 13-week internal effort that doesn't ship. We can give a fixed price after the diagnostic.
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
- 39% of organizations report any EBIT impact at the enterprise level from AI — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- More than two-thirds of respondents report 30% or fewer of their experiments will be fully scaled in the next 3-6 months — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
- 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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