Book a discovery call

Forward-deployed AI engineering

AI that ships. Built for how India works.

We put engineers inside your business to build AI that connects to the systems you already run, proves its value against a metric we agree in writing, and keeps working after go-live.

Book a discovery callSee how we work

30 minutes with a founder. No slides. We reply within one working day.

Your peopleGuardrails and measurementThe modelYour dataYour systems

Most AI work in India stops at the demo.

A pilot that impressed the board in a meeting room often never meets a real customer. It was built on clean sample data. It did not connect to Tally, SAP or the core banking system. Nobody agreed what “good” meant, so nobody could say whether it worked.

Then the vendor moves on, the model changes, and quality drifts with no one watching.

Envisstack exists to close that gap. We build the unglamorous parts that decide whether AI earns its keep: the integration, the evaluation, the security review, the hand-off to a human, the weekly check on quality.

The demoThe integrationThe evaluationThe security reviewThe hand-off to a humanThe weekly check on qualityWhat decides whether it ships

Fourteen services. One standard of engineering.

Start with a 2 to 3 week sprint, go straight to the system you already know you need, or begin with the basics that bring customers in.

Find and prove

AI Opportunity SprintFind where AI pays back, with a prioritised roadmap and business case.2 to 3 weeksAI Governance and DPDP ReadinessPolicies, risk assessments, DPDP compliance and controls for AI use.3 to 6 weeksEnvisstack AcademyHands-on AI training for leaders, managers and engineering teams.1 to 5 days

Build

Customer Support AgentsAI that resolves customer queries on WhatsApp, web and email, with human hand-off.6 to 12 weeksDocument IntelligenceReads invoices, KYC, claims, contracts and statements into your systems.4 to 10 weeksVoice Agents in Indian LanguagesPhone agents for reminders, collections, booking and surveys in Hindi, Marathi and more.6 to 12 weeksKnowledge AssistantsEmployees ask questions of policies, SOPs and manuals, with citations.4 to 8 weeksWorkflow Automation AgentsAgents that do back-office work: reconciliation, GST checks, order processing, reports.3 to 8 weeksAnalytics AgentsLeaders ask questions of their own data in plain language.6 to 10 weeks

Keep it running

Managed AIMonitoring, evaluation, improvements and support after go-live.Monthly

Grow online

Website DevelopmentFast, mobile-first websites that turn visitors into enquiries, in English, Hindi or Marathi.2 to 8 weeksSocial Media ManagementPosts, reels, replies, Google Business Profile and ads, reported as enquiries, not likes.MonthlyBusiness AutomationEvery lead in one place, WhatsApp follow-ups and reminders that go out on time.1 to 4 weeksAnalytics DashboardsSales, marketing and operations on one screen, from the data you already have.2 to 4 weeks

See all services and prices

Five things we do differently.

  1. 01

    We work inside your environment

    Our engineers sit with the people who do the work, in your office or on your systems. We build in your cloud account or on your premises, not from a slide deck.

  2. 02

    We measure before we build

    Every engagement has a success metric and an evaluation set agreed in writing before we write production code. If we cannot measure it, we do not ship it.

  3. 03

    We build for India as it is

    Hindi, Marathi, Tamil and Hinglish. WhatsApp first. The DPDP Act, RBI, IRDAI and SEBI rules. India-hosted deployments. The Java, SAP and Tally estates you actually run.

  4. 04

    We build for production from day one

    Security review, guardrails, observability and cost control are part of the first build, not a later phase.

  5. 05

    We stay

    Every go-live moves to a managed retainer. We measure quality every week and keep improving it.

DiscoverProveBuildRun.

Small, fixed-price steps. You decide at the end of each one whether to continue.

Discover

2 to 3 weeks

Workshops with the people who do the work. We find the 20% of the problem that matters and write the business case.

Support deskInvoice clerksBranch teamTasksHand-offsExceptionsTally / SAPCore system

See what you get at each step

Built for how India works

The details that decide whether AI works here.

Languages

Hindi, Marathi, Tamil, Telugu, Bengali, Gujarati, Kannada and English, including mixed-script Hinglish. We test in every language we ship.

Channels

WhatsApp Business, phone, web chat and email, with a clean hand-off to your team.

Systems

Tally, SAP, Salesforce, Zoho, core banking platforms, and the legacy databases nobody wants to touch.

Rules

DPDP Act 2023 and its 2025 Rules, plus sector rules from RBI, IRDAI and SEBI. Data stays in India where the rules require it.

Where we start.

Financial servicesNBFCs, insurers, brokers, fintechs and co-operative banks. Collections, KYC, claims and service, inside regulatory limits.See how we help
HealthcareHospital chains, diagnostics and clinics. Report queries, pre-authorisation paperwork and patient communication.See how we help
Retail and D2CBrands and consumer businesses. WhatsApp commerce, order confirmation, returns and marketplace reconciliation.See how we help
Manufacturing and logisticsPlants, distributors and carriers. SOPs on the shop floor, vendor invoices, dispatch and reporting.See how we help
Illustrative scenario, not a client

An NBFC’s collections calls in Marathi and Hindi.

A lender’s tele-calling team spends most of its day on routine EMI reminders. A voice agent could take the first reminder call in the borrower’s language, confirm a promise-to-pay date, and pass hardship cases to a person. Before building anything, we would agree in writing how we judge it: the share of calls completed without a human, the accuracy of captured promise dates against a listened-to sample, and zero breaches of the lender’s recovery conduct rules.

See six example engagements
DUE LISTLMS accountsin scopeCALLVoice agentMarathi, HindiOUTCOMEPromise-to-paydateHardship caseWRITTEN BACKLMS update
DUE LISTLMS accountsin scopeCALLVoice agentMarathi, HindiOUTCOMEPromise-to-paydateHardship caseWRITTEN BACKLMS update

Things we say no to.

  • We will not sell you a model when a rule or a spreadsheet would do.
  • We will not run an “innovation” demo with no metric attached.
  • We will not deploy anything we cannot evaluate.
  • We will not call ordinary software “AI” to win a budget.
  • We will not use your data to train anyone’s model.
  • We will not claim partnerships, clients or results we do not have.

Read how we think before you talk to us.

Plain-language notes on getting AI into production in Indian businesses.

StrategyHow to run an AI pilot that actually reaches productionMost AI pilots are built to impress, not to ship. Here is how to design one that ends with a system your team uses on Monday morning.8 min readRead the article
ComplianceDPDP Act and AI: what Indian companies must do before deploying AI agentsIndia's data protection law is coming into force in phases, with the core duties applying from 13 May 2027. AI agents touch more personal data than most systems.9 min readRead the article

All insights

Questions buyers ask first

Read all 20 questions

Where is our data hosted?

In your own cloud account or on your premises wherever possible, in Indian cloud regions by default. If your regulator requires data to stay in India, it stays in India. We document every place data goes before the pilot starts.

Which AI models do you use?

Whichever scores best on your evaluation set at a cost you can sustain. We are not a partner or reseller of any model provider, so we compare commercial model APIs with open-weight models hosted in your environment and show you the results.

What if the pilot does not hit the target?

You get the full evaluation report, the reasons it fell short, and our honest view on whether more work would change that. You are under no obligation to continue. A clear “no” after six weeks is cheaper than a vague “maybe” after a year.

Who owns what you build?

You do: the code, prompts, evaluation sets, configuration and documentation built for you. Our pre-existing tools stay ours, and you get a perpetual licence to use them inside the system we deliver.

The founders

Who we are.

We are a new firm. As we hire engineers, we will introduce them here by name.

About Envisstack
SM

Samarth More

Co-founder & Director, Technology

Business consultant and technology and policy researcher, with an MBA in International Business.

LinkedIn (opens in a new tab)

NM

Sqn Ldr Neha Melkani (Retd.)

Co-founder & Director, Strategy & Partnerships

Former officer, Indian Air Force

Neha served as an officer in the Indian Air Force before co-founding Envisstack.

LinkedIn (opens in a new tab)

Bring us one workflow that costs you too much.

In 30 minutes we will tell you whether AI is the right tool for it, what it would take to prove, and what it would cost. If it is not the right tool, we will say so.

Book a discovery callSee example engagements