Define the user and the decision
We interview the people doing the work, observe the current tools (spreadsheets, forms, emails, portals), and identify the decisions the app must make easier — not just prettier.
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Applications
Custom AI Apps
Some client problems need a focused application, not a generic platform screen. We design and build the interface, data flow, AI assistance, permissions, and handoff model around one valuable workflow.
Client question
What does your team need to do repeatedly that generic software cannot support cleanly?
We define the user, decision, data, permissions, and output first. The AI is only added where it helps the workflow become faster, clearer, or more reliable.
Outcome
A scoped custom AI application that supports one clear workflow, with data access, approvals, user experience, and audit needs handled from the start.
In practice
What this looks like for a real client.
A leading nutrition brand wanted to run consumer cashback schemes across thousands of General Trade outlets — but these Kirana stores have no POS integration. We built an end-to-end loyalty app: QR code standees in stores, consumers scan and receive a unique coupon on WhatsApp, retailers validate via a simple mobile app, AI audits uploaded bill images against scheme rules, and approved claims trigger automatic retailer settlement. The full cycle — consumer scan to retailer payment — runs without any POS hardware, capturing first-party consumer data at scale.
How it works
We design around how the work actually moves.
Design around the real workflow
We define screens, permissions, AI assistance points, review states, and outputs before writing code. AI is added only where it speeds up a real decision — matching, extraction, scoring, or routing.
Connect the data and systems
We wire the app to required records, files, approvals, and external systems. The app is useful on day one because it connects to live data, not a demo dataset.
Pilot with real users, iterate fast
We launch with a small group, watch usage closely, fix the rough edges within days, and expand once the workflow is trusted. The pilot is not a demo — it processes real work.
Role of AI
Not a generic chatbot. Specific techniques, applied to specific data.
Computer vision analyses retailer-submitted bill images, extracting line items, quantities, and prices to validate against scheme rules. Automated fraud detection flags duplicate claims, mismatched products, and unusual redemption patterns. Image analysis scores in-store visibility compliance across 10 brand parameters for premium retail execution programmes.
Selected engagements
Not slides. Shipped work, running in production.
CPG
Window Visibility Auditing & Scoring
100,000+ store audits, 20,000+ outlets
Audit time under 2 minutes per store. ₹50L+ saved through automated compliance-based payouts.
Pharma
Retail Pharma Master Data Creation
200,000+ verified pharmacy outlets
Geotagged, KYC-complete outlet database. GST and Drug Licence verified against government portals.
CPG / Healthcare
Customer Loyalty Programme Automation
Thousands of GT outlets, no POS integration
Full loyalty lifecycle automated — QR scan to settlement. Consumer data captured at scale.
Deliverables
Shipped at the end of the engagement
- Application brief covering users, workflow, permissions, data, and outputs
- Clickable UX structure and implementation scope
- Working custom AI app connected to required data and systems
- Pilot plan, training notes, and usage review
What we need
What we need from your team to begin
- Target users and workflow owners
- Examples of current forms, spreadsheets, emails, or portals
- Data sources and permission requirements
- Pilot user group and feedback cadence
Timeline
A practical delivery cadence, not an open-ended discovery.
Product definition
User interviews, workflow mapping, app scope, permissions, and success criteria. An interactive wireframe by Friday.
Application build
Interface, data access, AI assistance, approvals, integrations. Internal testing with real data.
Pilot and iteration
Pilot with real users, daily feedback, quick fixes, usage review, and expansion plan.
Industries
Where we have delivered this service.
CPG & Retail
Field sales auditing apps, retailer loyalty platforms, in-store visibility scoring
Pharma
Retail pharmacy master data apps, field force reporting, invoice capture
Manufacturing
Shop-floor inspection apps, quality hold review, shift handover tools
Good fit
When this service is the right answer
- Procurement, RFQ, approval, or customer-facing workflows
- Teams relying on spreadsheet-plus-email tools for important decisions
- Processes where AI should assist a human workflow, not run invisibly
Honest call
When this is not the right choice
- A standard SaaS product already solves 80%+ of the need — configure it instead
- The workflow touches fewer than 5 people and runs once a quarter
- You need a public-facing consumer app with millions of users — that is a different build discipline
Start the engagement
Start with the workflow your team runs in a spreadsheet.
We scope the first project around that problem, deliver a working result in weeks, and stay on as an operations partner — because the platform keeps getting sharper after go-live.