When Networks Grow, Accountability Must Grow Faster

A bigger network does not automatically produce better judgment.

That is true of venture capital. It is equally true of enterprise innovation, where organisations often mistake more pilots, more partnerships, and more dashboards for greater strategic intelligence.

The difficult question is not how many opportunities a system can discover. It is how reliably that system turns discovery into informed action.

Sequoia’s announcement that it is ending its scout programme, alongside broader organisational changes, raises that question. Meanwhile, a16z’s reported move towards fewer, better-supported scouts suggests a recalibration rather than a universal rejection of distributed investing.

I read this less as the end of scouting and more as a warning about scaling participation without scaling responsibility.

Discovery and judgment are different capabilities

Scout networks address a genuine problem: valuable opportunities emerge beyond an institution’s immediate field of vision.

Founders and operators bring local relationships, specialist knowledge, and access that a central investment team cannot easily reproduce.

But discovering an opportunity is not the same as evaluating it. Evaluating it is not the same as supporting it over time.

Each requires different incentives, expertise, and accountability.

This distinction matters well beyond venture capital. Enterprises make a similar mistake when they create innovation networks across business units but leave ownership of the resulting decisions unclear.

Everyone can propose a pilot. Few people own its integration, operating costs, or eventual retirement.

The network expands. The capacity to absorb its output does not.

The architectural lesson: distribute sensing, clarify ownership

In software architecture, distributed systems create coordination costs. Adding nodes can improve reach and resilience, but it also introduces inconsistent state, communication overhead, and harder failure diagnosis.

Human networks have comparable trade-offs, although relationships cannot be reduced to software components.

A decentralised innovation programme needs more than enthusiastic participants. It needs explicit decision rights, shared evaluation criteria, feedback mechanisms, and an accountable owner for each commitment.

Consider enterprise generative AI.

Allowing every department to explore use cases can uncover valuable workflow improvements. Yet without common requirements for data access, evaluation, security, and lifecycle costs, experimentation can produce a portfolio of disconnected liabilities.

The answer is not necessarily to centralise every experiment. That risks creating a bottleneck and losing frontline insight.

A stronger design is distributed discovery with proportionate, explicit governance.

Focus can improve quality-or narrow the field of vision

There is, however, a danger in celebrating concentration too quickly.

Established institutions may attract substantial inbound interest. That does not mean they see every promising founder, technology, or market.

Fewer relationships can mean deeper engagement. They can also mean fewer unfamiliar perspectives.

For emerging ecosystems, including Northeast India, this distinction matters. A founder outside established investment networks may need someone who understands the local market well enough to explain why an apparently small opportunity deserves attention.

Removing that bridge without replacing its function can reinforce geographic blind spots.

The strategic question should therefore be: Which relationships create distinctive insight, and how do we sustain them responsibly? Not simply: Which relationships are easiest to measure?

What leaders should redesign

For CTOs, founders, and innovation leaders, I would prioritise four changes:

• Measure decisions, not activity. Introductions and pilot counts reveal volume, not strategic value.
• Assign ownership beyond discovery. Someone must remain accountable through evaluation, implementation, and review.
• Fund participation realistically. Expertise and sustained engagement require time, support, and credible incentives.
• Protect peripheral insight. Retain channels to unfamiliar regions, disciplines, and customer groups, even when immediate returns are uncertain.

The lesson is not that smaller networks always outperform larger ones.

It is that reach, judgment, and commitment must be designed together.

The future belongs neither to maximum decentralisation nor maximum control, but to institutions that can listen widely-and take responsibility for what they choose to pursue.

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About the Author: Sanjeev Sarma is the Founder Director and Chief Software Architect at Webx Technologies. With a core focus on Generative AI integration, Cloud-Native Scalability, and Enterprise Software Architecture, he has spent over two decades driving digital transformation across Northeast India and beyond. Beyond his corporate leadership, Sanjeev is deeply invested in shaping the future of the IT industry. He serves as an Industry Expert on the Board of Studies for Assam Don Bosco University’s School of Technology, advises state technology committees, and actively mentors emerging tech startups at STPI. He brings a unique, dual perspective of high-level enterprise execution and future-ready academic curriculum development.