Appzotic
Portfolio Kestrel
AI · Enterprise · FinTechWeb application · light & darkPlatform

Kestrel

Enterprise AI for payments and operational health

Enterprise AI for payments: live revenue, merchant payouts, method mix, and API health — in light and dark.

See every view Build something like this
This product holds
  • Dual light and dark themes
  • Gross revenue and payout intelligence
  • Payment method mix
  • Merchant volume and API health
Kestrel · Night-shift command
Product
Kestrel
Industry
FinTech · Enterprise AI
Platform
Web application · light & dark
Status
Platform
Year
2026
What’s inside

The product, module by module.

Everything a client would actually use — not a feature dump, the operating pieces of the system.

01

Live executive snapshot

Four KPI cards with sparklines for revenue, payments, payouts, and users.

Leadership does not wait for a weekly pack.
02

Method intelligence

Donut of card, bank transfer, wallet, UPI, and other.

Mix issues show up before they show up in cash.
03

Light and dark

Both themes designed as first-class products, not inverted colors.

The same OS works in a boardroom and a 24/7 ops floor.
Enterprise AIProduct designWeb engineeringAnalytics
How it looks

Every view we shipped.

Click any screen to open it full size. These are the live product surfaces — dashboards, flows, and themes.

The brief

Why it exists, and what it changed.

The problem

Finance and ops were reading the same business through different consoles — and neither theme was designed for both board review and night-shift operations.

What we built

Build Kestrel as an executive intelligence surface with first-class light and dark themes, live KPIs, mix analytics, and API health.

What changed

A dual-theme command center where Gross Revenue, payouts, payment methods, top merchants, and uptime sit on one dashboard.

01

Two audiences, one product

Board meetings need light. Ops rooms need dark. Both need the same numbers.

Impact · Theme cannot be a skin; it has to preserve hierarchy, charts, and status.
02

Payment mix is the story

Card, bank, wallet, UPI, and other methods change how cash actually moves.

Impact · A revenue number without method mix is incomplete.
03

Health is part of money

99.998% API uptime belongs next to payouts, not in a separate status page.

Impact · Operators should see money and reliability in one glance.
How it’s built

Delivery path, stack, and system shape.

Phase 01

Executive KPIs

Gross revenue, successful payments, merchant payouts, and active users with trend.

Phase 02

Intelligence charts

Revenue vs payouts over time, method mix, and top merchant volume.

Phase 03

Dual theme

Light for daytime finance review, dark for always-on operations — same information architecture.

React
TanStack
TypeScript
Recharts
Experience
Kestrel admin
Light theme
Dark theme
Edge & trust
Auth
Environment
Application
Payments
Merchants
Payouts
Analytics
Data
Transaction ledger
Merchant volume
Operations
API health
Settlement window
Alerts
Encrypted in transit and at rest End-to-end observability Independently scalable services
Impact

What a buyer should feel after launch.

2

production themes

1

executive picture

Live

ops + finance

One picture

Ops and finance argue from the same dashboard.

2 themes

Light and dark are both production-quality.

“Kestrel is what we wanted from enterprise AI: the live economics of the workspace, not another chatbot.”
Payments operations
Kestrel
More work

Other products in the studio.

Project FAQ

The details behind the delivery.

How long did the project take?

The core engagement ran for a platform design cycle. Discovery and architecture came first, followed by incremental releases and a structured transition into continuous improvement.

Why was this technology stack selected?

React, TanStack, TypeScript and Recharts provided the best balance of team fit, ecosystem maturity, security, delivery speed and long-term operating cost. Every major choice was documented through architecture decisions.

How were security and scalability handled?

Threat modeling, least-privilege access, automated security checks and observability were built into delivery. Load and failure testing validated the critical paths before launch.

What support followed launch?

Appzotic provided launch command, operational monitoring, knowledge transfer and a prioritized evolution roadmap. The client could choose continued product support or full internal ownership.

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