Dr Anita Stalin: "Automation Amplifies the Current Process — If It Is Bad, It Will Amplify That Too"

The second episode of The Process People features Dr Anita Stalin, a Lean Six Sigma Master Black Belt and business transformation coach based in Mumbai with 24 years of experience spanning corporate improvement programmes, global coaching engagements, and increasingly, the educational pipeline for the next generation of practitioners. She has worked with IBM and transformation teams across industries, and in recent years has shifted her focus toward building capability in universities and colleges — so that practitioners arrive ready to contribute from day one rather than needing years of on-the-job correction.

The conversation with Alain Cohen of Famla AI covers the ideas that shape her practice: why fixing individual departments without understanding the system is a category error, why automation amplifies whatever is already there, why Toyota's sixth and least-discussed lean principle might matter more than the other five, and why emotional intelligence is the last frontier AI has not yet crossed.

Who Is Dr Anita Stalin?

Dr Anita Stalin is a Lean Six Sigma Master Black Belt, transformation coach, and educator who works with organisations and teams across the globe on operational excellence, digital transformation, and change management. Over a career spanning 24 years, she has moved from practitioner roles in major corporations including IBM to leading her own transformation practice, and more recently into formal educational partnerships with universities and colleges through her work with ILSSI.

Her distinctive contribution to the field is the integration of Lean Six Sigma methodology with the human and organisational dynamics that determine whether transformation actually sticks. She does not treat process improvement and people development as separate workstreams — in her practice, they are the same workstream, because a process map without people who understand and own it is just a document.

The Conventional Wisdom Dr Anita Stalin Abandoned: Fixing Departments Instead of the System

Asked about a piece of business conventional wisdom she followed early and later discarded, Dr Anita Stalin described something many improvement practitioners will recognise: the habit of targeting the department with the lowest numbers and treating improvement as a problem isolated to that unit. When a department is underperforming, the instinct is to send in an improvement team, fix the metrics, and move on. This approach is not wrong so much as it is incomplete. Departments do not fail in isolation. They fail because of how the system around them is structured.

The shift she made — and now builds into her coaching — is from process improvement to system thinking. A department that appears to be underperforming is almost always a symptom of something upstream or downstream. Fixing it in isolation risks improving the department's local metrics while worsening the conditions that caused the problem in the first place. The real opportunity is always at the system level.

She frames this through what she calls the flipped pyramid. Most organisations talk about top-down or bottom-up approaches as though they are alternatives. Dr Anita Stalin's position is that both are required simultaneously: leadership cascades vision and direction downward, while execution and on-the-ground knowledge flow upward. What matters is that the two are connected — that individual KPIs align to team objectives, team objectives align to department goals, and department goals align to the organisation's mission. She references the Hoshin Kanri framework as a practical mechanism for building this alignment, describing it as the structural complement to the flipped pyramid concept.

What the Field Is Not Yet Doing: Making Change a Journey People Join, Not a Destination Imposed on Them

Asked what she would add to the standard playbook for operational excellence and continuous improvement, Dr Anita Stalin's answer was direct: organisations moving toward AI and digital transformation are failing to bring their people along for the journey. Change is being imposed rather than co-created, and the result is exactly what Lean practitioners would predict — resistance, disengagement, and transformation programmes that produce metrics without producing cultural change.

She points to Toyota as the evidence. The Toyota Production System is taught as five lean principles, and most practitioners can recite them. What fewer people discuss is that Toyota itself added a sixth principle: involving and respecting people. This is not a soft addition to the methodology. According to Dr Anita Stalin, it is the principle that explains Toyota's competitive advantage over organisations that had greater resources, longer histories, and more established market positions. They empowered people to make decisions at their level. That structural shift produced more durable improvement than any process tool could on its own.

Her argument for AI adoption follows the same logic. If an organisation moves to AI-driven automation without first preparing and involving its people, it is automating resistance. The friction does not disappear; it becomes embedded in the system. Human-centred transformation is not a nice-to-have — it is the prerequisite for any transformation that needs to last beyond the implementation project.

Where Dr Anita Stalin's Work Is Going: From Corporates to Universities

When asked what a typical week looks like in practice, Dr Anita Stalin described a practice that has deliberately diversified away from a single mode of delivery. Her team spans training, coaching, certification, and full business transformation — and in recent years has extended significantly into higher education. The logic is straightforward: practitioners like her spent the first decade of their careers correcting habits formed in education that had not caught up with the realities of modern improvement work. If that education can be updated, the next generation arrives as an asset rather than a remediation project.

Through her work with ILSSI, she and her team support university faculty — professors and lecturers delivering courses in project management, change management, and business transformation — so that the methodology taught in degree programmes reflects how improvement actually works in 2025. Her measure of success is not solely financial. She evaluates it across the four dimensions of the balanced scorecard: financial performance, customer outcomes, internal process quality, and employee learning and development. When she describes a successful transformation, she describes one where all four improve, not one where cost reduction was achieved at the expense of workforce capability or customer experience.

Dr Anita Stalin on AI: The One Dimension It Has Not Yet Reached

The question Alain Cohen put to her — what did you expect AI to change that it has not changed yet — produced the most precise answer in the conversation. Dr Anita Stalin did not reach for concerns about accuracy or reliability. She named emotional intelligence.

AI can compress a 30-minute conversation to one minute. It can identify inefficiencies, restructure processes, and model scenarios at a speed and scale no human team can match. What it cannot do is understand the emotional consequence of those changes for the people experiencing them. When a process is shortened from 45 minutes to 20 minutes, AI does not know what happens to the employee whose role depended on those 45 minutes, or how a customer who valued the human interaction in that time will respond. The judgment about what to optimise and what to protect — the judgment that requires understanding what it feels like to be on the receiving end of a decision — is still human.

Her broader concern sits alongside this: the risk of organisations using AI adoption as cover for workforce reduction that destroys institutional knowledge. When an experienced employee leaves, they take with them a decade or more of organisational understanding — the kind of knowledge that cannot be onboarded in weeks, regardless of how capable the replacement is. She is not arguing against AI adoption. She is arguing that the calculation should include the value of what gets lost, not just the cost of what gets replaced.

Dr Anita Stalin's Advice for the Next Generation: Be Multi-Skilled, Get Uncomfortable, Go to the Gemba

Asked what she would say to a young graduate who wants to build a career in operational excellence and continuous improvement, Dr Anita Stalin gave three pieces of advice that are more practical than most career guidance in the field.

The first is about breadth. Do not rely on a single degree, a single certification, or a single technical skill. The practitioners who have the most impact — and the most durable careers — are those who combine technical competence with people management, strategic thinking, and the ability to read an organisational situation rather than just analyse a process. A Black Belt who cannot communicate across seniority levels, or who cannot translate improvement work into business terms, is a specialist with a limited ceiling.

The second is about discomfort. Seek out jobs and assignments that make you uncomfortable early. The resilience and range built by working in unfamiliar environments, on problems you do not yet know how to solve, is not available later in a career when the pressure to perform established expertise becomes dominant. The learning that happens in discomfort at 25 is qualitatively different from the learning available at 45.

The third — and the one that most directly reflects her methodology — is to go to the Gemba. The Gemba is where the work happens: the factory floor, the call centre, the warehouse, the back office. Practitioners who spend their careers in meeting rooms and dashboards accumulate analytical skill without operational wisdom. The judgment that distinguishes a great improvement practitioner from a competent one comes from having seen how work actually flows, not just what the process map says it should do.