Seshira // AI-native SaaS
Building an AI-Native Project Management Platform That Thinks Like Your Best Engineering Manager
Morphlix designed and built Seshira, an AI-native project management platform on AWS that combines collaborative workspaces with autonomous AI agents capable of planning sprints, triaging issues, automating workflows, and helping engineering teams ship faster.
Timeline
3 months
Team
4 engineers
Industry
AI-native SaaS
Services
Product Strategy, Cloud Architecture
0 Days
From first commit to public launch
0 AI Tools
Shared agent and human capability registry
0% Reduction
Notification polling using Server-Sent Events
The Challenge
Traditional project management platforms force teams to coordinate work manually across tasks, documentation, messaging, and reporting. While many products have added AI features, they remain workflow assistants rather than intelligent collaborators.
Seshira set out to solve a different problem: build an agent-first project management platform where AI actively participates in planning, execution, and project coordination while remaining transparent, auditable, and fully integrated into the same workflows used by human team members.
To achieve this, the platform needed to deliver:
Real-time collaboration for distributed engineering teams
AI-powered sprint planning and workflow automation
Secure multi-tenant SaaS architecture
Elastic cloud infrastructure capable of scaling with customer growth
Enterprise-grade security and operational visibility
The Solution
Morphlix architected and implemented a cloud-native AWS platform that combines modern SaaS infrastructure with generative AI capabilities.
The solution includes:
AI-powered sprint planning using Amazon Bedrock
Event-driven workflow orchestration
Containerized backend services running on Amazon ECS
Global frontend delivery through AWS Amplify and CloudFront
Managed PostgreSQL databases with Amazon RDS
Redis-powered caching and real-time collaboration
Secure authentication using Amazon Cognito
Background processing using EventBridge, Lambda, and Amazon SQS
Infrastructure as Code using Terraform
CI/CD pipelines powered by GitHub Actions and AWS
The resulting platform enables AI agents and human users to operate from the same project data model, allowing automated task creation, intelligent prioritization, workflow recommendations, and collaborative project execution.
Technology Stack