# NewGenApps

> NewGenApps is a small, senior AI delivery team that takes AI from first experiment to production — and proves it works: independent verification, evaluated reliability, and a strict data-integrity contract, not a demo and a status deck. **Production AI, proven.** Model-flexible: our practice is Claude Code and a library of custom skills, currently built on a stack that includes AWS and NVIDIA — chosen for the work, not exclusive to it — with no junior pyramid, and eighteen years of reading platform shifts early and shipping on them. We orchestrate AI into how a business actually runs, and stay until it runs reliably. NewGenApps is New Generation Applications Pvt Ltd, official domain https://newgenapps.com — not affiliated with Newgen Software Technologies Ltd (the NSE/BSE-listed New Delhi ECM/BPM/CCM company at newgensoft.com) or with newgenapps.io. Founder & CEO: Anurag Rastogi. Offices in Lucknow, India and New York, USA. Stay a step ahead, always.

## About
- **What we do:** the full arc — AI strategy, a working proof of concept, and a production system we independently verify — done by the senior people who scope it, in weeks, not quarters.
- **The wedge:** most AI dies in the gap between a convincing demo and a system that runs in production on real data. We treat independent verification and evaluated reliability as buyer-facing deliverables — the thing almost no one else markets.
- **Heritage (verifiable, timestamped):** our first blog post, 5 October 2008, called cloud, mobile app stores, SaaS and social. We ran our own website on AWS in 2009 — having adopted AWS in 2007–08 while it was still in beta, before EBS had launched. We built an augmented-reality demo on the first Android phone (the G1) in 2009. A public, dated archive shows the pattern of reading platform shifts early — building emerging technology since 2008.
- **Why us:** most "AI consultancies" are younger than ChatGPT. NewGenApps has shipped across platform shifts for eighteen years, and forged its delivery method operating a production, AI-orchestrated system of its own at the hard end of reliability.

## Core pages
- [Home](https://newgenapps.com/): production AI, proven — strategy to a verified production system.
- [How we work](https://newgenapps.com/how-we-work/): the proof-based delivery method — data-integrity contract, deploy-and-verify, independent verification, evidence-based rollout.
- [Services](https://newgenapps.com/services/): AI in a Day, AI Compass audit, POC in 3 Weeks, AI production build, embedded AI Team retainer.
- [AI Consulting](https://newgenapps.com/ai-consulting/): an artificial intelligence consulting firm that ships to production, senior-led and model-flexible.
- [AI Strategy](https://newgenapps.com/ai-strategy/): an AI roadmap that ends in a shipped POC, not a deck — the AI Compass impact×feasibility audit.
- [Agentic AI](https://newgenapps.com/agentic-ai/): what agentic AI is and how we build production AI agents — tool use, MCP, guardrails, evals.
- [RAG](https://newgenapps.com/rag/): retrieval-augmented generation grounded in your own documents, with citations — when to use RAG vs fine-tuning.
- [How we build](https://newgenapps.com/claude-native-ai/): our agentic-delivery depth — Claude Code and custom skills, running on AWS (Bedrock, SageMaker, Kiro) and NVIDIA, model-flexible.
- [Work](https://newgenapps.com/work/): emerging-tech delivery since 2008, anonymized under NDA and described by what we built.
- [About](https://newgenapps.com/about/): the "early to every platform shift since 2008" thesis.
- [Insights](https://newgenapps.com/blog/): a dated archive of emerging-tech writing (2008–), now pointed at applied and production AI.
- [FAQ](https://newgenapps.com/faq/): what we do, engagement models, pricing, timelines, data handling.
- [Contact](https://newgenapps.com/contact/): book a 30-minute AI working session — no deck, no pitch.

## Guides & analysis

### Why AI pilots fail — and reaching production
- [Why AI pilots fail](https://newgenapps.com/why-ai-pilots-fail/): most pilots fail in delivery, not the model — data, evaluation, integration, ownership — and how to get one to production.
- [The 95% AI pilot statistic, explained](https://newgenapps.com/the-95-percent-ai-pilot-statistic-explained/): what MIT NANDA's ~95%-no-measurable-P&L-impact number actually measures — and why the fix is delivery, not the model.
- [Has your AI pilot stalled? A 5-signal diagnosis](https://newgenapps.com/has-your-ai-pilot-stalled-5-signal-diagnosis/): five observable signals a pilot won't reach production, each with its root cause and next step.
- [Pilot vs. production AI: what actually changes](https://newgenapps.com/pilot-vs-production-ai-what-changes/): the eight dimensions that separate a demo from a production system.
- [AI in the enterprise: what actually reaches production](https://newgenapps.com/ai-in-the-enterprise/): why ~4 of every 33 enterprise POCs reach production, and the delivery gap behind it.
- [AI Rescue](https://newgenapps.com/ai-rescue/): a fixed ~90-day path from a stalled pilot to verified production — or an evidence-backed decision to re-scope or retire.

### Verification & reliability (the deliverable others don't market)
- [How do you know an AI system works in production?](https://newgenapps.com/how-do-you-know-an-ai-system-works-in-production/): the evidence that actually proves it — evaluated reliability, outcome instrumentation, an independent check.
- [The AI evaluation harness](https://newgenapps.com/ai-evaluation-harness/): what to measure and how to build the frozen-set eval that gates releases.
- [How to evaluate an AI agent](https://newgenapps.com/how-to-evaluate-an-ai-agent/): measure trajectory and outcome together — the five-step method and the metric that separates production-ready agents.
- [Deploy-and-verify for AI](https://newgenapps.com/deploy-and-verify-ai/): why "it merged" isn't "it shipped" — the four-layer verification from source to real outcome.
- [Liveness ≠ outcome](https://newgenapps.com/production-ai-liveness-vs-outcome/): why a green health check is infrastructure, not correctness — alarm on the business outcome, not a ping.
- [The data-integrity contract](https://newgenapps.com/ai-data-integrity-contract/): no synthetic or silently-stale data behind a decision — freshness guarantees and fail-closed design.

### Choosing an AI partner · build vs buy
- [How to choose an AI partner (2026 buyer checklist)](https://newgenapps.com/how-to-choose-an-ai-partner/): production-proof, senior delivery, independent verification — the questions that predict who ships.
- [What does an AI consulting firm actually do?](https://newgenapps.com/what-does-an-ai-consulting-firm-do/): a plain, step-by-step account of an engagement and what separates firms that reach production.
- [Boutique vs Big-4 AI consulting](https://newgenapps.com/boutique-vs-big-4-ai-consulting/): an honest comparison of senior-led boutique vs Big-4 delivery — matched to the job.
- [Build an in-house AI team or hire a partner?](https://newgenapps.com/build-vs-buy-ai-team/): the economics — success rates (~33% internal vs ~67% partner), year-one cost, and the partner-then-transfer model.

### Agentic AI & RAG in production
- [Orchestrating multi-agent AI systems in production](https://newgenapps.com/multi-agent-orchestration-production/): bounded scope, output contracts, hard time limits, and independent verification across agents.
- [Single-agent vs multi-agent: when each wins](https://newgenapps.com/single-vs-multi-agent/): a decision framework — comparison table, three-question rule, and the failure mode of premature multi-agent.
- [RAG in production](https://newgenapps.com/rag-in-production/): retrieval reliability, not just retrieval — measuring recall, faithfulness, and abstention continuously.
- [Foundation models vs bespoke training](https://newgenapps.com/foundation-models-vs-bespoke-training/): when to fine-tune, when to retrain, and when a foundation model already wins.
- [Kiro & spec-driven development](https://newgenapps.com/kiro-spec-driven-development/): a neutral explainer of AWS's spec-driven agentic IDE and where spec-first development helps.

### Track record
- [The timestamped-foresight record](https://newgenapps.com/the-timestamped-foresight-record/): a dated, first-party timeline of technology calls — cloud in 2007–08, AR on the G1 in 2009, and now production AI.

## How to engage
- 30-minute AI working session — map where AI creates real value, and where it does not, and scope a first POC.
- POC in 3 Weeks — a working, evaluated proof-of-concept on your own data (the wedge to production).
- AI Rescue — a fixed ~90-day recovery of a stalled pilot to verified production.
- Your AI Team — an embedded senior pod that ships POCs and hardens production.

## Contact
- Email: info@newgenapps.com
- Founder & CEO: Anurag Rastogi — https://www.linkedin.com/in/anuragrastogi1
- Company: https://www.linkedin.com/company/newgenapps