Exova - AI Agents — Mobile ai & agents product delivered by Coralsoft

The situation

What was in place before we started.

The client needed a focused product for mobile-first operators. The first release needed agent task creation, structured AI responses, and approval and retry states, while managing unpredictable model output. Coralsoft designed and delivered the 16-week MVP from discovery through release.

The client needed a focused product for mobile-first operators. The first release needed agent task creation, structured AI responses, and approval and retry states, while managing unpredictable model output.

Coralsoft owned product shaping, engineering, QA, and release across a 16-week engagement.

Constraint

Turn the core customer journey into a dependable first release without overbuilding the product.

Estimated Timeline: 4 months
Estimated Team: 4 people
Estimated Budget: $15k – $25k
Platforms: 1

Estimated stack

React NativeExpoTypeScriptNode.jsPostgreSQLOpenAI API

Delivery story

Exova - AI Agents: a focused product delivered from discovery to release

01

Challenge

The client needed a focused product for mobile-first operators. The first release needed agent task creation, structured AI responses, and approval and retry states, while managing unpredictable model output.

02

How we built it

We mapped the core journey and data model first, then delivered agent task creation as a working vertical slice. The next iteration added structured AI responses and approval and retry states, with authentication, validation, loading and failure states designed into each flow. A mobile-first TypeScript build using React Native, Expo, TypeScript, Node.js kept the interface and service contracts consistent; the final weeks focused on QA, accessibility, and release preparation.

03

Delivery

The delivered 16-week MVP let mobile-first operators complete the core journey without relying on disconnected tools. It provided a small, maintainable foundation for testing demand and prioritising the next release.

Coralsoft turned the product brief into a maintainable 16-week MVP.

Challenges

Each constraint, and what we did about it.

Constraint

Turn the core customer journey into a dependable first release without overbuilding the product.

What we did

We mapped the core journey and data model first, then delivered agent task creation as a working vertical slice. The next iteration added structured AI responses and approval and retry states, with authentication, validation, loading and failure states designed into each flow. A mobile-first TypeScript build using React Native, Expo, TypeScript, Node.js kept the interface and service contracts consistent; the final weeks focused on QA, accessibility, and release preparation.

Roadmap