Does your enterprise transformation plan have a human capital blind spot?
WORK-SELF is a workforce reinvention platform and identity-aware workforce AI agent, Maya, that closes the gap between enterprise transformation plan and the employees going through it. WORK-SELF significantly reduces attrition, improves redeployment outcomes, and gives C-suite, HR, and operations leaders measurable evidence of what is working and who’s at risk.
Most transformation budgets do not have a line for this. For example, a 1,000-person restructuring programme incurs losses amounting to 20% of the workforce which, at an average of £50,000 per employee departure, results in a £10M people problem.
TRUSTED BY CERTIFIED CAREER COACHES AND HR PROFESSIONALS GLOBALLY
Built for leaders responsible for delivering AI workforce transformation and growth.
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You approved the technology investment. The operational plan is sound. What erodes transformation ROI is not the system, it is the 20% of your workforce that disengages, misses placements, or leaves during the change. WORK-SELF is the layer that protects that investment.
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You are accountable for the people side of a transformation your organisation has already committed to. WORK-SELF helps when attrition rises and redeployment underperforms. We give you the intelligence, the intervention layer, and the board-ready reporting to answer questions before they are asked.
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Your employees need more than reskilling plans. They need clarity on who they are and where they fit in the organisation you are building. WORK-SELF gives your transformation team identity-aware employee intelligence, measurable transition outcomes, and a human capital layer that most transformation programmes do not have.
The financial case is straightforward
£10M
people failure cost in a 1,000-person restructuring where 20% of the affected workforce disengages or departs
£35K
baseline replacement cost per mid-level employee who leaves during a transformation programme
96%
proportion of employees who intend to adapt to a new workflow but do not follow through without structured support
70%
of large-scale AI transformation programmes fail to deliver intended outcomes, primary cause: people not technology
Where WORK-SELF sits in your transformation architecture
Strategy layer
Target operating model definition. Determine which workflows AI replaces or augments.
Identity intelligence layer
Map each employee's predisposition. Identify transition readiness, who needs support, and who is at risk before redeployment.
Reskilling layer
LMS / L&D platforms deliver learning content to validated populations with confirmed readiness to engage.
Skills execution layer
Talent redeployment uses skills data, informed by WORK-SELF identity profiles.
WORK-SELF does not replace the platforms you already have. It is the intelligence layer that makes each of them more effective because redeployment built on identity fit outperforms redeployment built on skills fit alone.
Enterprise onboarding
Book an enterprise demo, align on your workforce cohort, and deploy WORK-SELF across your organisation through a guided implementation experience built for HR and People teams.
Step 1: Configure your organisation
Step 2: Deploy the Workforce Reinvention Assessment
Set up your enterprise account, define employee cohorts by department, role, or transition programme, and connect WORK-SELF to your existing HRIS or outplacement workflow.
Each employee completes a structured 30-minute assessment capturing career history, identity signals, strengths, and reinvention readiness. Results are anonymised, aggregated, and available to your People team via the Transition Dashboard.
Step 3: Activate Maya for every employee
Step 4: Track reinvention outcomes at the organisational level
Monitor workforce readiness, redeployment fit, and transition progress through auditable 90-day C-suite reports, giving your leadership team the data to move people with confidence, reduce redundancy costs, and demonstrate transformation ROI.
Maya, your AI Workforce Transition Agent, is available 24/7 from day one, coaching each employee through their personalised Transition Blueprint, flagging attrition risk in real time, and escalating to certified career coaches where human support is needed.
Case Studies
Government of Ontario: Workforce Platform
WORK-SELF is in active pilot discussions with Government of Ontario / FutureFit AI, a workforce platform operating across Canadian agencies, to deploy Maya as the transition intelligence for employees navigating AI role change across 4 portals.
London Business School: Career Centre
London Business School's career centre uses WORK-SELF to support students and alumni navigating high-stakes career transitions, applying the same identity assessment and Maya guidance used in enterprise transformation programmes.
WORK-SELF, built from 25+ years of experience in AI workflow automation and talent development
Wolf Magdelinic spent 20 years at PwC, CIBC, and Deloitte designing the target operating models that organisations use when they restructure. He then co-founded Overbond, an AI workflow automation platform deployed at Wells Fargo, Mizuho, and other Tier 1 financial institutions with a 17-claim US patent, and exited in 2024.
He built WORK-SELF because in every transformation programme he worked on, the operational architecture lacked the human layer transition system. The cost of that gap was visible in every programme. The product to address it at scale did not exist.
WORK-SELF is the platform he would have recommended to every CEO, COO, and CHRO he worked alongside. It exists because the problem is structural, the cost is measurable, and the intelligence layer to prevent it is now buildable with agentic AI in a way it was not 2 years ago.
Wolf Magdelinic
Co-founder and CEO of WORK-SELF
Former: PwC · CIBC · Deloitte · Overbond AI (exit 2024)
Common questions from transformation leads
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No. WORK-SELF sits above your existing skills and HRIS infrastructure as an identity intelligence layer. Maya's profiles inform redeployment decisions made in Workday or Gloat; they do not replace them. Most clients find the two work better together than either does alone.
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The assessment is self-directed and available immediately. A workforce of 1,000 employees can complete assessments within two to three weeks with standard internal communications support. Maya is operational from day one of assessment completion. The dashboard is live by week four.
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Thirty minutes with the co-founders. You bring your transformation programme parameters (headcount affected, timeline, current platform stack). We show you what the workforce readiness assessment would produce for your population, what the attrition risk model looks like, and what a pilot would cost and deliver. No commitment required to proceed.
Your transformation programme is already running. The human failure cost is accumulating now.
WORK-SELF can help.
The organisations that protect transformation ROI are not doing something fundamentally different. They are adding the one layer most programmes leave out: a systematic way of knowing which employees are ready, which need support, and what each person needs to land on the right side of the change.