← Case StudiesSelf-Service AI Agents Platform
About the use case
The firm needed a way to give every team member access to AI without requiring engineering support for each new use case. The goal was a self-service platform where anyone could build, share, and collaborate on conversational AI agents tailored to their specific function — from customer support to research to content workflows.
The challenge
Building useful AI agents had been gated on technical resources. Business teams had ideas but no way to act on them independently.
AI access required engineering
Every new AI use case required development resources to implement. Business teams with clear needs waited in engineering queues while the backlog grew.
Fragmented, siloed tools
Different teams used different tools for language tasks — summarization, writing, research, support — with no shared platform, no knowledge reuse, and no visibility across functions.
No collaboration layer
When individuals built useful AI workflows, there was no structured way to share them with teammates, gather feedback, or iterate collaboratively.
How Ejento AI solved it
An Azure OpenAI Agents platform built by Data Science Dojo on Ejento AI — giving every team member a governed, self-service environment to create and share AI agents.
Self-service agent creation
Business users create conversational agents tailored to specific tasks or job functions — content summarization, customer support, research, writing — without engineering involvement.
Multi-source data integration
Agents can consume data from PDF documents, web links, YouTube videos, and plain text, giving them the context needed to provide accurate, relevant responses.
Team collaboration and sharing
Agents are shareable across teams. Colleagues can comment, give feedback, and contribute to refinement — turning individual tools into organizational assets.
Governed and secure
The platform enforces industry-standard security and privacy controls. Data stays protected throughout agent creation, deployment, and operation.
The outcome
AI for every function
Any team member can build and deploy an AI agent for their specific workflow — without waiting on engineering. AI capacity scaled with the organization.
Shared organizational knowledge
Agents built by one team are discoverable and reusable by others. The platform created a collaborative layer that turned individual productivity gains into organizational ones.
Focus on higher-value work
Language tasks that previously consumed analyst and specialist time are now handled by agents, freeing teams to focus on strategic priorities.
Ready to deploy AI inside your cloud?
Schedule a demo