Aegis AI
AI governance, observability, and cost tracking for enterprise IT — applied to legacy modernization and service desk automation.
Enterprise AI adoption stalls because nobody tracks who's using what, costing what, with what risk. Aegis makes every AI call auditable, every token costed, and every response governed — by default.
100%
Shadow AI Eliminated
All AI usage governed
67%
Avg. Cycle Time Cut
Modernization turnaround
13
Teams Deployed
Across 5 business units
Real-time
Cost Visibility
Token-level attribution
Workflows — Try Them Live
Legacy Modernization
Translate COBOL, FORTRAN, PL/I, RPG, and Assembly into modern Python with AI-generated docstrings and unit tests. Every transformation is logged for audit and cost analysis.
6+
Python 3.10+
GPT-4o
ITSM Copilot
AI-powered incident management assistant built on ITIL v4 best practices. Every response includes governance metrics, cost attribution, and PII compliance tracking.
ITIL v4
Token-level
GPT-4o-mini
Governance Dashboard — Live Sample Data
AI Spend by Workflow
Token cost attribution over 6 months (USD)
Audit Trail
Modernization job completed — COBOL → Python, 847 tokens, $0.008
14:23 UTC · Platform Eng
ITSM query resolved — incident triage, 312 tokens, $0.003
14:18 UTC · Service Desk
PII scan flagged potential SSN pattern — response redacted
14:12 UTC · Compliance
Modernization job completed — FORTRAN → Python, 1,204 tokens, $0.012
14:05 UTC · Platform Eng
ITSM escalation recommendation accepted — P1 routing
13:58 UTC · Service Desk
Tech Stack
Read the Full Case Study
Problem, approach, architecture decisions, outcomes, and lessons learned.