Case study · AI Agent Development
AI agents for CodeRepo's recruitment, delivery and account teams
CodeRepo provides IT services, technical staffing and consulting. e-KHOOL rolled out AIRA, its enterprise AI agent platform, with seven AI agents that help recruiters, developers, project and account managers prepare drafts and coordinate work, while people keep every decision.
About CodeRepo
CodeRepo LLC is an IT services and consulting company with activities in technical staffing, consulting, cloud, web development and digital transformation. Its specialties also include Salesforce, AI and machine learning (coderepoz.com).
The challenge
Staffing and technology delivery involve recurring work across sales, recruitment, onboarding, engineering and support, and candidate and customer information needs proper access controls.
Recruitment: job requirements and candidate summaries
Placement: interviews, onboarding documents and milestones
Development: requirements, test cases and release notes
Customer support: request summaries and approved knowledge articles
Management: account updates, project reports and meeting summaries
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
CodeRepo'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 applicant tracking, CRM, documents, email, project and support tools.
Agents for CodeRepo'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
CodeRepo teams save 30 hours a month on candidate summaries, job descriptions and interview coordination. That is 360 hours a year at the same volume.
| Workflow | Per month | Before → after | Saved |
|---|---|---|---|
| Candidate summaries | 120 | 20 → 15 min | 10 hrs |
| Job descriptions | 40 | 45 → 30 min | 10 hrs |
| Interview coordination | 60 | 20 → 10 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 make hiring decisions?
No. Agents prepare factual summaries and drafts; recruiters review every submission and keep responsibility for employment decisions.
Where is candidate data held?
Data retention, hosting, permitted model providers and integrations were agreed with CodeRepo during discovery.
Can CodeRepo 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
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