AI Platform · Agent Engineering Case Study by Creative Mantra

A deep-dive case study from Creative Mantra, the Mumbai-based AI and software agency, on how we designed and built an AI-powered product from discovery through launch. Includes the model/agent architecture, data pipeline, engineering stack and outcomes.

What's inside

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Case Study · AI Platform · 2024

Building an
AI-native product

Back to Work

Discover how our team designed and shipped a production AI platform — model selection, agent architecture, and a fully responsive interface delivering fast, reliable results at scale.

AI Platform LLM Integration
Aurel

Powered by AI

The AI running under the hood

Beyond the interface, here's what's actually intelligent about this product — explained simply, no jargon.

Smart Automation

The system understands patterns in your data and handles the repetitive decisions for you, automatically.

Instant Insights

Complex information gets summarised and surfaced instantly, so users see what matters without digging.

Human-Checked, Always

The AI assists and suggests; people stay in control of anything that matters, with a review step built in.

How It Works

Follow a request through the AI

Scroll down to trace a request through the system stage by stage. Hover any card for the technical detail behind it.

No Jargon

The AI terms, translated

Hover a card to flip it — plain English on the front, what it means technically on the back.

Research Methodology

How we got from question to shipped model

01

Data & Model

Starting from the problem, not the model curated evaluation datasets, benchmarked candidate models, and selected the architecture that balanced accuracy, latency, and cost for the product's actual usage patterns.

Model Evaluation Fine-tuning Data Pipeline

02

Agent Architecture

Designed the orchestration layer prompt chains, tool-calling, retrieval and memory so the system behaves predictably in production, with guardrails and fallbacks for the cases models get wrong.

RAG Pipeline Tool Calling Guardrails

03

Integration & Evals

Shipped the platform with continuous evaluation baked in automated regression tests against golden datasets, latency budgets, and cost dashboards, so quality doesn't silently drift after launch.

API Integration Eval Suite Observability

Background

Revolutionising a brand through AI-driven intelligence

Industry Technology & SaaS
Location
Canada 🇨🇦
Year 2023
Client Alex Morgan
Services Used
Brand Identity UI/UX Design AI / ML Web Development
View Live Site

Project Goals

Enhance the digital presence meaningfully

Every goal was defined up front with the client so the entire team stayed aligned from kick-off through delivery.

01

Strengthen Online Presence

Create a polished, authoritative digital presence that builds trust with new visitors and communicates the brand's value within seconds of landing.

02

User-Centric Experience

Design every touchpoint around real user behaviour reducing drop-off, improving onboarding clarity, and making the path to conversion as frictionless as possible.

03

Highlight Key Features

Surface the product's most powerful capabilities front and centre through clear visual hierarchy, interactive demos, and storytelling that connects features to real-world outcomes.

04

Promote Partnerships

Build dedicated sections for partner programmes and integrations, signalling to ecosystem players that Aurel is open for collaboration and enterprise-grade co-selling.

Research

Listening before designing

We engaged a broad audience spanning professionals aged 25–40 through moderated interviews, usability surveys, and competitive analysis to pinpoint exactly what users wanted and where existing solutions fell short.

The research phase ran for two weeks and shaped every design decision that followed from information architecture to micro-interaction patterns and onboarding copy.

40+

Interviews

200+

Survey Responses

8

Competitors Audited

Key Takeaways

Diverse User Base

Users ranged from tech-savvy founders to non-technical executives the design had to work for everyone without dumbing anything down.

User Onboarding Clarity

60% of drop-offs happened in the first three steps. Simplifying onboarding flow was the single highest-impact improvement we could make.

Highlight Key Features

Users couldn't articulate the product's core differentiators after visiting the old site. Feature visibility needed a complete rethink.

Seamless User Journey

Every step from discovery to conversion needed to feel continuous no dead-ends, no confusion about what to do next.

Pipeline & Architecture

How the system actually runs

From raw input to final output — each stage of the pipeline, what it does, and why it's there.

Pipeline 5 Steps
01
Homepage 01

Browse Products

Visitor arrives and explores the full product catalogue.

02
Product Detail 02

Choose Product

Clicks through for a deeper look at capabilities.

03
Lead Generation 03

Register

Fills sign-up form, triggering the lead sequence.

04
Dashboard 04

Get Access

Receives credentials and enters the personalised dashboard.

05
Feedback 05

Rate Experience

Submits rating, feeding into our improvement loop.

Timeline & Workflow

12 weeks, zero surprises

A clearly phased workflow kept every team research, design, and engineering moving in sync. Each phase had defined outputs, a review gate, and a named owner so nothing slipped between the cracks.

Team Involved

Project Stats

Key Findings

Model Card

The model, the data & what we measured

Model & Data

Considerations & Limitations

Screens

The finished interfaces

Result

From fragmented to iconic in 12 weeks

Aurel saw a 4× uplift in conversion rate within the first 60 days of launch. The centralised brand system reduced design-to-production time by 70%, while real-time AI insights allowed their leadership team to make faster, more confident decisions.

The project positioned Aurel strongly for their Series A raise, with investors citing the polished brand and platform maturity as key factors in their decision.

4×

Conversion uplift

98

Lighthouse score

12wk

Delivery

Project result

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