What ROI do real enterprise AI projects deliver?
Real AI systems, in production.
Eighteen AI, automation and analytics case studies from Finzarc: real enterprise builds in production, three told in depth and the full ledger below. Every claim ships with a log attached.
How much hidden revenue can AI analytics surface?₹4.2Cr, surfaced: AI analytics & forecasting for a consumer-goods major.
Fourteen regions meant fourteen versions of the truth, spread across systems that were never designed to reconcile. A single number everyone could trust always arrived late, so the weekly commercial call ran on last quarter's export. We wired every source into one live layer of analytics and business-intelligence systems and put demand forecasting on top. Now that call opens with a number everyone trusts, and a ranked list of exactly where revenue is leaking.
“The effort put in and the accountability taken by the team was unparalleled.” COMMERCIAL LEADERSHIP
How much time can AI automation actually save?6 hours → 11 minutes: marketing-automation agents for a performance agency.
Client reporting ate a full day every week: pulling platform numbers, reconciling spreadsheets, formatting decks by hand. Our AI agents and agentic automation now run the entire loop (pull, reconcile, publish, deliver) before the team's first coffee. The team went back to strategy, and the numbers come out clean every time.
Can a 121-year-old business run on one source of truth?One pricing truth for a 121-year-old manufacturer, in about four months.
List prices, costs, standard costs, customer and sales values lived across a dozen disconnected sources, so there was no single place to see the business whole. We built the data-engineering and analytics layer: Python pipelines that ingest every pricing dataset into one single-source database, surfaced through leadership dashboards. Now a 121-year-old manufacturer runs off one number, not a dozen versions of it.
What kinds of AI projects get shipped to production?Eighteen builds. Filter by industry or by function.
Across eighteen delivered builds, Finzarc has returned 60,000+ hours a year, surfaced ₹4.2Cr in recoverable revenue, and cut ₹10Cr/yr in bad-stock write-offs by ~90%, every figure logged, every build in production.
Names withheld on purpose. We'll walk you through any of them on a call. Filter by industry or by business function. Every card opens the full build story, or explore every service we ship to see how they're built.
BrandOptix: revenue maximisation
Performix workflow automation
Hi Langee!: GenAI language app
Organisation-wide GPT
Pricing SSOT + leadership dashboard
Pricing approval tool
Competitor price scraping
Pricing analytics
Insighting: talk-to-AI over data
Anaplan planning implementation
SCM Tower: supply-chain control tower
Data Eagle: data intelligence
Coconut capture app
Counterfeit detection: capture app
CocoDag: annotation tool
GRN reconciliation pipeline
GRN monitoring pipeline
Digitat: delivery TAT digitization
No builds match that filter yet.
How do I get a build like these?The next log line is yours.
Piyush Kumar & Abhinav Tripathi FOUNDERS · THE PEOPLE ON YOUR CALL Questions before the call.
Can I see Finzarc case studies with real numbers?
Yes. Every build in this ledger ships with the metric attached: +27% revenue and margin from 30% to 38% (BrandOptix), ₹10Cr/yr write-offs cut ~90% (GRN reconciliation), 60,000+ hours returned a year (Performix). Eighteen production systems, numbers logged, not rounded.
What kinds of AI and data projects has Finzarc delivered?
Eighteen production builds across agentic automation, analytics & BI, data pipelines, pricing and revenue systems, supply-chain control towers, GenAI apps, and computer-vision field-capture tools. See the full range on our solutions page.
Which industries has Finzarc built AI for?
Consumer goods & FMCG, industrial & energy, marketing & e-commerce, pool & wellness equipment, and education & research, for Fortune 500s and century-old manufacturers. Filter the ledger by industry or business function to see each.
Why are the client names withheld?
By agreement. These are live production systems for enterprises that prefer their edge stays quiet. The builds, the methods and the numbers are real. We'll walk you through any of them, named, on a call.
How fast does Finzarc ship?
First delivery in about three weeks. Hi Langee went from idea to a store-ready GenAI app in 21 days; the first module of an organisation-wide GPT was live in two weeks. Working software over promises of future.
How do I get a build like these?
Bring the problem, leave with a scope. Book a 30-minute call with the founders, Piyush Kumar and Abhinav Tripathi, the people who build it are the people on the call.
What ROI can I expect from an AI project with Finzarc?
Every Finzarc build is scoped around the single business number it should move, so ROI is defined before the work starts, not estimated after. Across the ledger that's meant +27% revenue with margin from 30% to 38%, ₹10Cr/yr write-offs cut ~90%, ₹4.2Cr in recoverable revenue surfaced, and 60,000+ hours returned a year. Because first delivery is about three weeks, payback usually starts within the first month or two.
What does a build like these cost?
Finzarc scopes a fixed first version on the call, priced against the metric it should move rather than billed by the open-ended hour. Most engagements start with one focused build (an automation, an analytics layer or an MVP) and because you see working software in about three weeks, you can judge the return before any larger commitment. Bring the problem and we'll put a real number on it.