Diary of a Rural Manager!

Old vs Revised KCC Framework:  T he old framework was essentially a five-year, crop-credit-led arrangement with allied and investment components, whereas the new framework is a six-year, season-based composite facility with clearer SoF rules, explicit allied-sector coverage, digital and technology expenditure, improved tenant-farmer documentation and formalised security thresholds. Parameter Old framework Revised RBI framework, 2026 Practical significance Regulatory basis The 2017 Master Circular consolidated KCC guidelines issued up to 30 June 2017. Separate binding directions have been issued for Commercial Banks, Small Finance Banks, RRBs and Rural Co-operative Banks. The revised framework is more structured and bank-category specific. [rbi.org.in] , [rbi.org.in] Effective date Applied under the existing KCC guidelines. Applicable to KCC loans sanctioned from 1 January 2027 . Earlier loans continue under existing guidelines until maturity or next renewal. Banks need a transition...

Bamboo is often presented as a miracle crop: fast-growing, renewable, versatile and capable of supporting rural livelihoods. Yet access to bamboo resources alone does not create a successful bamboo economy. The real value emerges only when cultivation is connected with processing technology, product design, quality standards, organised enterprises and dependable markets. China and Vietnam illustrate this particularly well. Both countries have built commercially significant bamboo sectors, but they have followed different paths. China has largely developed bamboo as an industrial material , investing in engineered products, manufacturing clusters, standards, technology and alternatives to plastic and timber. Vietnam, meanwhile, has built a more decentralised model based on craft villages, rural enterprises, producer groups, export-oriented products and buyer relationships . Their experiences offer an important lesson for India: there is no single bamboo-development model. A strong bambo...

In Part 1, we discussed why a Voice AI company should start with a focused product instead of trying to build a platform too early. The first product proves value. It validates whether users are willing to interact with a voice agent, whether the agent can complete a real task, and whether the business outcome is measurable. But once multiple products start using the same underlying capabilities, the company reaches a strategic inflection point. At that stage, the question becomes: “ Which capabilities should we build, which should we buy, and which should become shared platform infrastructure? ” Part 2: Build, Buy, Govern, and Scale the Voice AI Platform This second part focuses on the build-versus-buy decision, governance, platform metrics, operating model, and the strategic end state for a Voice AI company. 7. Build vs Buy for Voice AI A Voice AI company should not try to build everything. The stronger approach is usually hybrid: Buy commodity capabilities, build ...

Part 1: Start With a Voice AI Product Before Building a Platform Voice AI is entering its platform moment.  Many companies start with one focused use case: a customer support voice bot, an outbound sales assistant, an internal meeting summarizer, a collections reminder bot, or an appointment-scheduling assistant. The first product usually proves the value of voice automation quickly. It shows that AI can resolve calls, reduce effort, improve response times, and create measurable business impact. But once the second, third, and fourth use cases appear, the question changes. The question is no longer: “Should we build a voice bot?” The more important question becomes: “Are we building one product, or are we rebuilding the same infrastructure again and again?” For a Voice AI company, this distinction matters. An AI product solves a specific business problem. An AI platform creates the shared foundation that makes multiple products faster, safer, and cheaper to build. Getting it wrong...