Converts Jira and ServiceNow tickets into fully validated, policy-compliant Infrastructure-as-Code — autonomously orchestrating evaluation, generation, and compliance validation at scale.
The Business Challenge
In large enterprises and Shared Service Centers, Platform Engineering and Infrastructure teams are consistently bottlenecked — not by lack of expertise, but by the sheer volume of provisioning tickets that each require manual policy validation and bespoke Infrastructure-as-Code authoring.
Every incoming Jira or ServiceNow ticket demands detailed assessment against internal security policies, cloud architecture standards, and organizational guardrails before a single line of Terraform can be written. This creates a structural trade-off:
- invest senior engineer time in thorough review — slowing delivery to days, or
- accelerate processing at the risk of costly, policy-violating misconfigurations
At enterprise scale, this bottleneck compounds: delivery SLAs degrade, expert engineers burn out on repetitive triage, and the organization accumulates configuration drift and unaudited infrastructure debt.
Industry
- Information Technology
- Platform Engineering & DevOps
Maturity
Production
Capabilities
- Multi-Agent Orchestration
- Policy-Governed IaC Generation
- ITSM Integration (Jira / ServiceNow)
- Self-Evaluation & Continuous Learning
- Human-in-the-Loop Escalation
What We Delivered
We architected and deployed a production-grade, multi-agent orchestration system embedded directly into the organization’s Jira and ServiceNow service desk workflows.
The system autonomously orchestrates the full ticket-to-deployment pipeline at enterprise scale:
- Intelligent Ticket Analysis
- Policy-Governed IaC Generation
- Multi-Agent Orchestration
- Self-Evaluation & Continuous Learning
- Human-in-the-Loop Escalation
Intelligent Ticket Analysis
Parses incoming Jira and ServiceNow infrastructure requests and maps requirements against internal security policies, cloud architecture standards, and organizational knowledge bases — understanding intent beyond literal ticket text.
Policy-Governed IaC Generation
Autonomously generates deployment-ready Terraform configurations that are pre-validated against organizational guardrails, eliminating policy-violating code before it reaches review.
Multi-Agent Orchestration
Deploys specialized AI agents for evaluation, code generation, and compliance validation — each with distinct responsibilities, coordinating through a structured orchestration layer.
Self-Evaluation & Continuous Learning
Applies automated quality checks on generated configurations and continuously improves accuracy through structured feedback loops from infrastructure engineers.
Human-in-the-Loop Escalation
Maintains expert oversight through configurable checkpoints, automatically escalating non-standard or high-risk requests to senior engineers while autonomously handling routine provisioning.
The system does not replace infrastructure engineers — it amplifies their capacity by autonomously resolving routine tickets and surfacing only exception cases that require human architectural judgment.
Key Outcomes
Cost-Benefit Estimation
€229K
savings / year
1.9 mo
payback period
2,520 h
engineer hours reclaimed
Snet = Ntickets × (Tmanual − Tassisted) × Chr − Cplatform
Ntickets = infra tickets/year | Tmanual = manual processing time (h) | Tassisted = AI-assisted time (h) | Chr = fully loaded engineer rate | Cplatform = annual platform cost
Example — Enterprise shared service centre, 1,800 infrastructure tickets/year, 6-person platform engineering team
| Manual processing cost | 1,800 × 2.0h × €105 | = €378,000 |
| AI-assisted cost | 1,800 × 0.6h × €105 | = €113,400 |
| Platform cost | − €36,000 | |
| Net annual savings | €228,600 |
Illustrative estimate. Actual savings depend on ticket volume, policy complexity, and ITSM integration scope. Platform cost assumes Azure-hosted deployment with Jira/ServiceNow connectors.
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