Case Studies

How we take a business problem from first conversation to working software: the challenge, the agreed scope, our approach, what gets delivered and how success is measured.

These case studies show how Visnoa Systems scopes and delivers three typical engagements — an investor-ready prototype, an AI lead-qualification workflow and a white-label client portal. They are illustrative engagements that describe our process and deliverables; case studies of named client projects, with measured results, are added here with each client’s permission.

At a glance

Case studyClient profileEngagementDuration
01 · Retail analytics prototypePre-seed founder, IndiaPrototype Development6 working days
02 · AI lead qualificationB2B services firm, United KingdomAI workflow automation3 weeks
03 · White-label dealer portalMarketing agency, United StatesMVP Development4 weeks

Case Study 01Illustrative engagement

Retail analytics prototype for an investor round

Client profilePre-seed retail-tech founder
LocationIndia
EngagementPrototype Development
Duration6 working days

The challenge

A founder with deep experience in retail operations is raising a pre-seed round for a tool that warns store managers before products run out. The insight is strong, but investors keep asking to see the product, and there is no technical co-founder yet.

Objectives

  • Give investors a realistic, hands-on product experience within two weeks.
  • Test the core idea — stock-out alerts with reorder suggestions — with five store managers.
  • Produce a clear, costed plan for the MVP that follows.

Scope

In scopeOut of scope
Sign-in and manager dashboard with stock alerts and trendsPayments and subscriptions
Product detail view with a reorder suggestionMulti-tenant accounts
Realistic sample data for three storesLive point-of-sale integration

Our approach

PhaseTimingActivities
ScopeDay 1Discovery call, written one-page scope and fixed quote
DesignDays 2–3Key screens and flow agreed in a clickable draft
BuildDays 3–5Working front end and lightweight backend serving sample data; preview link shared daily
Demo & handoverDay 6Live demo, one revision round, recorded walkthrough, source code

Deliverables

  • Hosted prototype link that works on laptop and phone;
  • source code in the founder’s own repository;
  • a one-page note listing what is real and what is simulated;
  • a recommended MVP scope with a fixed estimate.

How success is measured

  • Investors can complete the core journey without help.
  • Store managers in user tests understand the alerts and say they would act on them.
  • The founder can move straight into an MVP with a written scope and budget.

Typical stack: React / Next.js front end, lightweight Node.js API, managed hosting.


Case Study 02Illustrative engagement

AI lead qualification for a B2B services firm

Client profile25-person B2B services company
LocationUnited Kingdom
EngagementAI workflow automation
Duration3 weeks

The challenge

Enquiries arrive through the website, a shared inbox and WhatsApp. Sales staff spend hours each day reading messages, copying details into a spreadsheet and deciding who to call first. Good leads wait too long; poor leads take up time.

Objectives

  • Capture every enquiry in one place, automatically.
  • Extract and score the key details so the best leads are called first.
  • Keep a person in control of every message sent to a customer.

Scope

In scopeOut of scope
Capture from the website form and shared inboxAutomatic replies without human approval
AI extraction of company, need, budget and urgencyReplacing the existing CRM
Scoring, routing and a daily summary emailOutbound prospecting
Review screen to correct the AI’s extractionVoice-call transcription

Our approach

PhaseTimingActivities
MapWeek 1Current process mapped with the sales team; scoring rules agreed; accuracy tested on anonymised past enquiries
BuildWeek 2Integrations, extraction and scoring, with logging of every AI decision
LaunchWeek 3Review screen, error alerts, cost dashboard, documentation and team training

Deliverables

  • A working automation connected to the firm’s inbox, website and CRM;
  • a human-in-the-loop review screen for low-confidence results;
  • an audit log of every AI decision and a monthly usage-cost estimate;
  • documentation the team can maintain without us.

How success is measured

  • Time from enquiry to first response, compared with the baseline recorded in week 1.
  • Hours of manual data entry removed per week.
  • Extraction accuracy on a monthly sample checked by the sales lead.

Typical stack: Email and CRM APIs, a leading language-model API, serverless functions, a small admin interface.


Case Study 03Illustrative engagement

White-label dealer portal for a marketing agency

Client profileDigital marketing agency
LocationUnited States
EngagementMVP Development (white-label)
Duration4 weeks

The challenge

An agency has won a client that wants a portal where its dealers can download marketing assets, request campaigns and track their status. The agency has designers and strategists, but no developers — and a delivery date it cannot move.

Objectives

  • Deliver a dependable portal under the agency’s brand, on the agency’s timeline.
  • Keep the agency in full control of the client relationship.
  • Leave the agency with code and documentation it owns.

Scope

In scopeOut of scope
Dealer sign-up with admin approval and role-based accessNative mobile apps
Searchable asset library with downloadsPrint-ordering integration
Campaign request form with status tracking and email notificationsBilling and invoicing
Admin panel for the client’s marketing teamSingle sign-on with the client’s systems

Our approach

PhaseTimingActivities
ScopeDays 1–3Joint call with the agency, written scope and partner price
BuildWeeks 1–3Built from the agency’s Figma designs; weekly demos the agency can share with its client
Test & launchWeek 4Permission and workflow testing, deployment, staging environment, handover

Deliverables

  • A deployed, tested MVP under the agency’s brand;
  • a staging environment for future changes;
  • handover documentation and credentials for the agency or its client;
  • an optional maintenance retainer billed to the agency.

How success is measured

  • Launch on the date the agency committed to its client.
  • Dealers can sign up, find assets and request campaigns without support.
  • The agency can sell follow-on phases with a clear technical roadmap.

Typical stack: Next.js, PostgreSQL, managed authentication, cloud file storage, transactional email.


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