Texawer Intelligence Platform

An AI-powered enterprise intelligence platform that unifies fragmented factory data into decision-ready insights, predictive waste detection, and audit-ready ESG compliance — designed end-to-end as a single-owner initiative.

INDUSTRY:

ESG & Textile Industry

PROJECT:

Enterprise SaaS

ROLE:

Sole Product Designer

78%

78%

Annualised ROI

−230t

−230t

Carbon Footprint Delta

+$1.24M

+$1.24M

Opex Reduction

99.4%

99.4%

System Uptime

01 — PROBLEM

The data existed.
The decisions didn't.

Enterprise textile operations already had CRMs, ERP systems, and dashboards — but strategic decisions remained slow. Insights were scattered, requiring manual context-switching across systems. A simultaneous regulatory shift forced factories to build ESG traceability infrastructure that most didn't have, and had no roadmap to build.

"How might we transform raw textile operational data into actionable, explainable intelligence that supports strategic decision-making at both plant and executive level — without adding cognitive load to the people who have the least time?"

"How might we transform raw textile operational data into actionable, explainable intelligence that supports strategic decision-making at both plant and executive level — without adding cognitive load to the people who have the least time?"

Design Question

02 - RESEARCH

Understanding decision friction in factory / industry environments

Research focused on how decisions actually happen — who makes them, what data they need, and precisely where breakdowns occur. ESG compliance requirements were mapped against existing documentation workflows to identify traceability gaps before a single screen was designed.

03 — PERSONAS

Two primary users. Very different contexts.

The platform serves both operational and executive decision-makers. Designing for both required a layered information architecture — same underlying data, fundamentally different abstractions, time scales, and stakes.

04 — ARCHITECTURE

Structured around decision workflows, not reporting layers

Three tiers of intelligence — operational, predictive, and executive — with compliance threaded as a cross-cutting architectural constraint rather than an isolated feature module. Every data flow was designed to generate an audit trail without additional operator effort.

05 — KEY SCREENS

From data to decision across 8 modules

Every screen answers a specific operational decision question. The platform runs a dark enterprise UI system with a gold action palette — every module was designed with a distinct cognitive load budget calibrated to the time its primary user has available to act. No decoration; every element carries decision weight.

06 — DESIGN DECISIONS

Three principles that shaped every screen

Operating as the sole designer meant every principle had to be load-bearing. No room for decorative rationale — each decision needed to resolve a specific failure mode identified in research.

07 — OUTCOMES

From 9 fragmented tools to one intelligence layer

08 — REFLECTION

What sole ownership actually demands

Operating as the only designer on a 9-module enterprise platform meant thinking beyond screens — designing AI behaviour, enterprise workflows, trust systems, and scalable product structure simultaneously, while keeping the experience coherent for someone with very little screen time per decision.

Open to senior product, design leadership, scalable products and systems collaborations.

Get in Touch

Get in Touch

Let’s build something thoughtful.

NAYANA ©2026

Open to senior product, design leadership, scalable products and systems collaborations.

Get in Touch

Get in Touch

Let’s build something thoughtful.

NAYANA ©2026

Open to senior product, design leadership, scalable products and systems collaborations.

Get in Touch

Get in Touch

Let’s build something thoughtful.

NAYANA ©2026