AI Consulting That Ships Production AI, Not Slide Decks
In short: NewGenApps is a Claude-native AI consulting firm that takes enterprises from AI strategy to production systems on Anthropic's Claude — in weeks, not quarters. We have been spotting and building on technology megatrends since 2008, and AI is the wave we were built for.
Most AI consulting ends where the hard part begins. You get a strategy document, a workshop, and a recommendation to "build a center of excellence." Then someone still has to write the code, wire up the data, evaluate the model, and put it in front of real users — and that part rarely makes it into the deck.
We do the part that makes it into production. NewGenApps is an enterprise AI consultancy that scopes the right problem, builds a working proof of concept on Claude, and ships it as a system your team can actually run. Strategy is the first hour, not the whole engagement.
What NewGenApps does as an AI consultancy
We are a senior, hands-on AI consulting team that takes you the full distance — opportunity to outcome — without a hand-off to a separate "delivery" vendor halfway through. A single engagement can cover:
- AI strategy and opportunity selection — finding where AI actually pays off in your business, and just as importantly, where it does not.
- Proof of concept on Claude — a clickable, demonstrable POC you can show your board, scoped to ship inside a sprint.
- Production AI builds — agentic systems, retrieval-augmented generation (RAG) over your own documents, and the evals, guardrails, and monitoring that make AI safe to deploy.
- An embedded AI team — a senior pod that runs strategy through production alongside your people, transferring capability as it goes.
Whether you need a one-day working session or a multi-quarter build, the philosophy is the same: show, don't tell. Working software is the deliverable. Explore what each engagement looks like on our services page, and see the technical specifics on our Claude-native AI page.
How we are different from a typical AI consulting firm
Three things separate us from both the big strategy houses and the freshly-minted "AI consultancies" that registered their domain the week the hype started.
We are Claude-native, not model-agnostic by default
Claude is not one of our options. It is our specialty. We build deeply on Anthropic's Claude — agents, tool use, long-context RAG, model migration, cost and latency optimization — because depth in one excellent model beats shallow coverage of ten. When Claude is the wrong tool, we will say so. But we do not dabble; we ship Claude-native systems for a living.
We ship, we do not just advise
The unit of work is a system in production, not a recommendation. Our flagship is a Claude POC in three weeks — strategy to a working proof of concept in a single sprint — precisely because the gap between "AI strategy" and "AI in production" is where most enterprise AI dies. We are builders who can advise, not advisors who outsource the building.
We have been early since 2008 — and it is on the record
In our founding post in October 2008, we wrote that "the complexity is moving to the cloud and the convenience is moving to small devices." That was the entire mobile-cloud-SaaS world, called in one sentence, before it happened. We built an augmented-reality demo on the first Android phone in 2009. Across a public, dated archive of hundreds of posts, this team called mobile, cloud, big data, IoT, and AI/ML years before each became a budget line. You can buy backlinks. You cannot buy a 2008 timestamp. Read the full story on our about page.
We embed, not parachute
When you need ongoing capacity, you can borrow our team rather than build one from scratch. An embedded AI team works inside your stack and your standups, ships on your roadmap, and leaves your people more capable than it found them — the opposite of a consultant who arrives, presents, and disappears.
The engagement ladder: start small, scale on proof
You do not have to commit to a transformation program to work with us. Every engagement is a rung you can step onto — and step up from once you have seen results.
- 30-minute AI working session — no deck, no pitch. We find where AI actually pays off in your business in a single conversation.
- Claude in a Day — a hands-on, one-day build sprint that turns an idea into something running.
- AI Compass — opportunity audit — a structured assessment that ranks your AI use cases by value and feasibility, so you invest in the right first thing.
- Claude POC in 3 Weeks (our flagship) — strategy to a clickable, board-ready proof of concept inside one sprint.
- AI production build — taking the proven POC the rest of the way: hardened, evaluated, monitored, and deployed.
- Embedded AI team — a senior pod on retainer, running strategy through production as an extension of your team.
Each rung is designed to de-risk the next. You buy a small, fast proof before you commit budget to the big build — which is exactly how AI should be adopted.
Book a 30-minute working session →
Who this is for
Enterprise AI consulting from NewGenApps fits best when:
- You are a CIO, CTO, CDO, Head of Data, or founder who needs AI in production, not another strategy artifact.
- You have a real use case — support deflection, document intelligence, an internal agent, knowledge retrieval over your own data — and need a team who can ship it.
- You have tried a POC that stalled before production, and you want a partner who treats "reaches production" as the actual finish line.
- You want senior practitioners, not a pyramid of junior consultants learning AI on your budget.
If you are still deciding whether AI is worth it at all, the 30-minute working session is built for exactly that — an honest read on where the value is, with no obligation.
Why a 16-year heritage is a moat, not a footnote
The first "E" in Google's E-E-A-T framework — and in any enterprise buyer's mental checklist — is Experience. It is the one thing that cannot be manufactured retroactively.
Most AI consulting firms are younger than ChatGPT. We have a public, timestamped record of reading technology waves correctly for over a decade and a half: the 2008 cloud-and-mobile thesis, AR on the G1 in 2009, serious writing on machine learning and chatbots in 2016 — well before the current AI cycle. That heritage is not nostalgia. It is direct evidence that this team can tell a durable shift from a passing fad, scope it, and build on it early — the entire job when you are betting your roadmap on AI.
When you trust a firm with your AI strategy, you are betting on their judgment about what to build and when. Ours is on the record, dated, and right. Browse the receipts in our insights archive and the AI and machine learning tag hubs.
Stop talking about AI. Start shipping it.
The fastest way to find out whether we are right for you is a single conversation — no deck, no obligation. Book a 30-minute AI working session and we will find where AI actually pays off in your business. Get in touch.