Case study · AI Agent Development
AI agents for Taashee's cloud, DevOps and operations teams
Taashee Linux Services delivers open-source focused enterprise technology across India, the USA and the UAE. e-KHOOL rolled out AIRA, its enterprise AI agent platform, with seven AI agents that help cloud, DevOps, operations, support and delivery teams find information and prepare drafts.
About Taashee
Taashee Linux Services Private Limited provides enterprise technology solutions with an open-source focus. Its services include cloud consulting, application management, DevOps, data centre management, data lifecycle management and IT staff augmentation (taashee.com).
The challenge
These services involve recurring work across sales, engineering, cloud operations and delivery, and customer infrastructure data needs proper access controls.
Cloud consulting: discovery, migration plans and architecture documents
DevOps: pipeline reviews, deployment checklists and release notes
Delivery: milestones, handovers and customer reports
Operations: cloud and data centre alerts, incidents and runbooks
Data protection: backup reports, recovery testing and technical knowledge
The solution: AIRA agents with controlled access
Staff reach the agents through AIRA. The platform uses approved models and a knowledge layer over approved company documents, with controlled connectors to existing systems.
No-code agent builder
Taashee's team can configure and extend agents and workflows itself.
Retrieval over approved content
Model serving with answers grounded in approved company documents.
Governance built in
Role-based access, guardrails, human approvals and audit trails.
Fits existing systems
Web and chat with single sign-on, and connectors to documents, cloud monitoring, ticketing, DevOps and project tools.
Agents for Taashee's daily work
Seven agents, each drafting or summarising; people review and take every action.
How we rolled it out
A phased rollout, starting with discovery of use cases, hosting, access and integrations.
- 01
Discovery
Use cases, hosting, data residency, access and integrations agreed together.
- 02
Platform setup
AIRA set up with administrator documentation once prerequisites were agreed.
- 03
Agents and onboarding
Seven agents configured and teams onboarded in phases.
- 04
Ongoing support
Software updates, security patches and agent template updates.
The results
Saved every month
Taashee teams save 30 hours a month on incident summaries, customer service reports and migration checklists. That is 360 hours a year at the same volume.
| Workflow | Per month | Before → after | Saved |
|---|---|---|---|
| Incident summaries | 120 | 20 → 15 min | 10 hrs |
| Service reports | 40 | 60 → 45 min | 10 hrs |
| Migration checklists | 20 | 90 → 60 min | 10 hrs |
Time saved = monthly volume × (time before − time after), measured across the full workflow including human review.
Questions about this project
Do the agents act on alerts by themselves?
No. The operations triage assistant summarises alerts and suggests runbooks; operators take every action.
Where is the data hosted?
Hosting, data residency, integrations and permitted model providers were agreed with Taashee during discovery.
Can Taashee build more agents?
Yes. The no-code builder lets its team configure and extend agents and workflows.
Which service delivers this?
AI Agent Development, one of e-KHOOL's AI services, built on AIRA.
Put AI agents to work in your teams
Tell us which processes you want to automate and we will design your first agents.