Bringing AI-Assisted Service Operations Under Control
Specialized Engineering Scope & Mission Challenge
An IT service management (ITSM) organization at a Fortune 500 company handled over 80,000 internal support tickets monthly (VPN issues, software access requests, password resets, hardware errors). Tier-1 support desks were overwhelmed, while resolution times dragged into days. Initial experiments with raw LLMs yielded hallucinated instructions, leaking restricted access procedures and confusing users. The engineering leadership required an enterprise-grade, retrieval-grounded AI copilot system with strict source citation, deterministic escalation guardrails, and role-based access filtering.
Granular Competency & Technical Requirement Matrix
Critical Engineering & Integration Complexities
- Preventing access leakages where unauthorized employees query LLMs for restricted internal system documentation or executive secrets.
- Minimizing hallucinated resolution steps that could instruct employees to execute unsafe terminal commands or delete configurations.
- Handling rapid documentation updates and version deprecations across thousands of knowledge base articles.
- Achieving sub-2-second generation latency while maintaining multi-step contextual retrieval and guardrail verification.
Engineered Delivery & Execution Workflow
Corpus Ingestion & Document Chunking
Built an automated document pipeline extracting and cleaning articles from ServiceNow and Confluence.
Hybrid Vector Indexing
Configured dense vector embeddings paired with sparse BM25 keyword search for high-precision technical term lookup.
Enterprise RBAC Filtering
Implemented metadata filtering restricting vector search results to documents matching the querying user's Active Directory roles.
Guardrails & Safety Filter
Deployed input/output guardrails intercepting prompt injections, PII disclosures, and high-risk command strings.
Automated RAG Evaluation
Benchmarked answer faithfulness, context precision, and hallucination rates against 500 validated gold-standard support queries.
ServiceNow Workflow Integration
Embedded the assistant directly into Microsoft Teams and ServiceNow chat with one-click agent escalation.
Production Pilot & Active Learning
Launched a 6-week controlled pilot across 5,000 employees, using negative feedback to retune chunking and prompt engineering.
Production Toolchains, Protocols & Frameworks
06 | PROJECT TARGETS
Project Targets and Business Impact
Customer Confidentiality Note: Customer identity, proprietary codebases, and commercial program specifics have been anonymized in accordance with non-disclosure agreements.