The leaders who navigate this successfully understand their organization as well as they understand their technology — how decisions are made, how change is absorbed, how processes get redesigned, and how the organization moves with speed under pressure.
01 — Who Is Saying This
Founder, GeneralArc
22 years building organizational operating systems inside some of the world's most complex organizations — JPMorgan Chase, McKinsey & Company, Nomura, Markit, Deutsche Bank, Ernst & Young. Financial services is where the experience was built. The operating challenges it produced — workforce transformation, leadership continuity, AI governance, capability architecture — appear everywhere.
NYU Stern MBA · University of Virginia BS · Delhi University B.Com Honours
GeneralArc is not a framework shop. It is not a discovery-phase-forever consultancy. When you bring in GeneralArc, you get the senior practitioner with the track record — not a team built around her.
“She comes with a diagnosis. She understood our operating model faster than people who had been inside it for years.”
— Senior HR executive, global financial institution
02 — Why Now
The organizations moving fastest on AI are also taking the biggest structural risk. They are cutting headcount, redeploying savings into AI capability, and maintaining output at lower cost. Each decision is individually rational. The collective result — organizations operating without the systems to hold what they're building — is fragile.
“I've seen organizations deploy AI faster than they can govern it. The technology works. The operating model doesn't. I know what comes next — and it's fixable, if you start now.”
— Amrita Sandhu
The window to build those systems is not indefinitely open. GeneralArc exists for this moment: when the operating model must catch up to the technology, or the technology compounds the risk.
03 — What We Build
Based in New York. Works globally.
Systems do not change organizations. People do.
Most systems are not built to carry them.
The challenges GeneralArc solves appear across sectors. The organizations look different. The operating problems are not.
Structures that scale and hold under stress. Decision rights, accountability frameworks, and governance that actually gets used.
Large-scale workforce transitions, upskilling, role redesign, and structured hiring during organizational change.
Integration succeeds or fails through people. The operating model must hold from day one. Most do not.
Embed AI into how people actually work and decide. Role transition frameworks, governance structures, and change management that sticks.
Succession pipelines that hold under change. Built for the transitions that matter: the sudden ones, the contested ones, the ones no one saw coming.
The system behind how talent actually functions. Role clarity, skills taxonomy, and governance that connects both to outcomes.
Experience built inside: JPMorgan Chase · McKinsey & Company · Nomura · Markit · Deutsche Bank · Ernst & Young
Company names reflect prior employers. All experience was gained as an internal employee within these organizations. References do not imply client relationships or endorsements.
04 — The Work
Large global organization · Internal engagement as a senior people and operations leader
People were leaving. Decisions were stalling. Two years in, nobody knew who owned what.
The Challenge
Post-merger integration had stalled. Two workforce models operating in parallel. Leadership decisions taking 6+ months. Significant redundant overhead accumulating each quarter.
The Approach
Mapped the entire decision architecture across both legacy organizations. Identified the 12 critical governance gaps causing delays. Designed a unified operating model with clear ownership.
The Outcome
Consolidated job families and eliminated redundant layers. Cut decision cycles from 6+ months to under 8 weeks. Stopped the talent bleed within the first quarter.
Large complex enterprise · Internal engagement as a senior people and operations leader
The technology was live. The workforce had no idea what it meant for their jobs.
The Challenge
AI adoption was accelerating faster than governance could handle. No framework for emerging regulatory requirements. Thousands of roles affected with no transition plan.
The Approach
Built an enterprise AI governance structure mapped to regulatory requirements. Designed role transition frameworks for affected populations. Embedded change management into the technology rollout.
The Outcome
Created clear pathways for 2,000+ affected employees. Achieved full regulatory compliance before deadline. Turned potential workforce crisis into managed transition.
Global professional services firm · Internal engagement as a senior people and operations leader
The CEO asked who would replace her. Nobody could answer with confidence.
The Challenge
Succession pipeline was invisible. Top performers leaving because development paths were unclear. Critical leadership roles at risk of vacancy.
The Approach
Built a leadership continuity system mapping capability to future roles. Created visible development tracks for high-potential leaders. Linked succession planning directly to operating model outcomes.
The Outcome
Established a bench of 40 ready-now leaders. Retained three critical succession candidates who had been flight risks. Created a repeatable system.
All engagements described reflect work conducted as an internal employee within these organizations, not as an external consultant. Details have been anonymized and generalized to protect confidential information. Nothing on this page constitutes a guarantee of future results.
05 — More From The People Who've Seen It
“This was not HR work. It was organizational architecture. The savings were real. The speed was real. I would bring her in again without hesitation.”
— Senior Executive, Global Investment Bank
“She thinks three moves ahead. While everyone else was debating the policy, she had already mapped the role impact, the governance structure, and the change plan.”
— Senior Leader, Global Professional Services Firm
Names and affiliations withheld per professional courtesy. Quotes are anonymized and shared in generalized form to protect confidentiality.
06 — How We Engage
The industry is not a factor. The operating challenge is.
1–2 weeks
GeneralArc identifies where the system is breaking.
2–4 weeks
GeneralArc builds the operating model required to fix it.
Ongoing
GeneralArc embeds it until it holds.
Defined scope, clear deliverables. Best for specific challenges with known boundaries.
Typically 8–16 weeks. Single workstream with discrete outcomes.
Ongoing strategic counsel. Best for organizations in active restructuring.
Quarterly retainer. Regular touchpoints during transformation.
Hands-on executive support. Best for critical transitions or capability gaps.
3–12 months embedded. Hands-on operating role with defined exit.
Insights
Point of View
Coinbase made headlines this week by laying off 14% of its workforce and restructuring its leadership around "player-coaches" — leaders who are also strong individual contributors, overseeing larger teams and moving faster with AI at the center of how work gets done.
Point of View
For decades, financial institutions and large enterprises have been organized around a single principle: the pyramid.
Point of View
Every organization has a strategy. Most strategies look similar within an industry. The difference between organizations that execute and organizations that stall is not the strategy. It is the operating model.
Point of View
Every organization talks about being agile. Very few have measured what agility actually means in their specific context.
Point of View
Most organizations operate in a zone between two extremes: over-centralized authority with diffused accountability, or distributed authority with unclear lines of responsibility.
Operating Model
Every failed transformation has the same autopsy: great strategy, poor execution.
AI Governance
The next wave of AI is not about chatbots or copilots. It is about agents: AI systems that can perform tasks autonomously, make decisions, and take actions without human intervention for every step.
Point of View
KPMG published a paper arguing that HR holds the keys to creating value from generative AI. The argument is correct. The execution is harder than the paper suggests.
Operating Model
KPMG identifies remodeling the HR operating model as the first step in creating Gen AI value. This is right. But the framing understates the organizational lift required.
Transformation
KPMG identifies workforce reconstruction as the second key area where HR creates Gen AI value. By reconstruction, they mean deconstructing work processes and rebuilding them through the lens of Gen AI.
Contact
Early conversations are more useful than late interventions.
Amrita will listen, ask a few diagnostic questions, and tell you honestly whether GeneralArc can help. No pitch. No follow-up sequence.
GeneralArc works across industries. If the operating model is under pressure, the conversation is worth having.
30 minutes. No pitch. Direct conversation about what you're facing.
Speaking Engagements
Her talks draw on 22 years inside operating models at JPMorgan Chase, Deutsche Bank, McKinsey, and Nomura — diagnosing why initiatives stall and what it takes to make change hold.
Formats
Audience
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