Every DWS engagement includes continuing consultation, led by Carol Hirsch, combining two decades of real, multinational enterprise experience with your actual company data to help organizations restructure intelligently, retain critical talent, and build a workforce ready for the AI era.
When restructuring decisions need to be made, guesswork is not an option. DWS builds side-by-side scenario models using your real financial, operational, and workforce data, so leadership can evaluate the true cost and impact of each path before committing.
Each scenario is modeled across multiple dimensions: headcount impact, cost reduction, productivity risk, talent retention probability, and timeline to stabilization. You'll leave with a clear, defensible decision framework.
Not all roles face equal risk in transformation. DWS maps your workforce against emerging capability requirements, identifying which roles are at risk, which are critical to preserve, and which employees hold the potential to reskill effectively into AI-era roles.
Proof: In 10,000 Monte Carlo simulation runs, reskilling outperforms layoff 100% of the time through Year 4, with a median 5-year NPV advantage of $23.6M. This analysis gives your leadership a financially defensible case for retention over replacement.
Generic training programs don't drive transformation. DWS designs a custom learning & development strategy directly tied to your restructuring outcomes, building the specific capabilities your organization needs to operate effectively in its new structure.
This includes capability gap analysis, learning pathway design, vendor evaluation, program sequencing, and success metrics. The result is an L&D strategy your team can actually put into practice.
Most organizations treat workforce planning as a reactive, budget-driven exercise. DWS builds a dynamic, data-driven staffing model your leadership can use for ongoing strategy, updated as your business evolves and as AI continues to reshape role requirements.
The model incorporates business growth projections, attrition patterns, AI skills demand forecasting, and market labor data, turning talent planning from a cost center into a strategic advantage.
Most organizations are behind on AI, and most don't know exactly where. Tools have been adopted. Policies have been drafted. But individual capability and team fluency have lagged significantly behind the pace of change, and that gap is widening.
DWS brings enterprise-grade AI coaching to individuals and teams, built on real corporate experience in large-scale transformation, not generic digital literacy curricula. Every session is calibrated to the individual's role, function, and actual workplace context. The goal is real confidence and capability working alongside AI, not just surface familiarity, starting now.
Topics include practical AI tool fluency (ChatGPT, Copilot, Gemini and others), prompt engineering for real workflows, AI ethics and organizational risk, automation boundary-setting, and leveraging AI for career and business development.
Individual and team coaching rates available. Please contact us.
* A sliding scale is available to clients who demonstrate financial need. Please inquire at the time of scheduling.
Every DWS engagement follows the same proprietary six-phase cycle, from AI Readiness Diagnostic through a Self-Sustaining Engine, with Carol Hirsch leading each phase and designed to deliver results your leadership can act on.
A rapid assessment of your organization's AI maturity, workforce structure, and transformation readiness, the entry point for every engagement, and the checkpoint we return to at the close of each cycle.
Using your real data, DWS quantifies the true financial case for reskilling versus layoff, before any plans begin.
We right-size your organization around AI-native role targets, mapping where the business is headed next.
Cross-matching skills and sequencing reskilling pathways: role by role, gap by gap.
We build, activate, and measure the learning program, turning strategy into results your leadership can see.
Quarterly tuning toward a fully autonomous reskilling capability your team can run on its own, then the cycle begins again.
Most engagements begin with a single service and expand from there. Let's start with a conversation.