AI Business Solutions: ATI Solicitation Tracker
ATI, Inc.
Location: Columbia, MD
Project Duration: 2025
Industry: Program Management, Facility Management, Construction Management, Environmental Services, Environmental Health and Safety, Industrial Hygiene, Design Build
Project Overview
ATI, Inc. partnered with Pinnacle Thrive Solutions to solve a major bottleneck: slow, inconsistent manual review of federal contract opportunities. Pinnacle Thrive Solutions built a production-ready solicitation tracker that combines machine learning, natural language processing (NLP), and carefully targeted AI features.
The solution automatically classifies opportunities with over 93% accuracy, delivers confidence-based routing, and integrates custom AI-powered web scraping to equip analysts with context on demand. ATI now achieves faster reviews, higher consistency, and measurable time savings across thousands of records.
Goals
- Enable fast, consistent triage of large volumes of federal opportunities with deterministic confidence scoring and JSON exports for downstream systems
- Add an end-user “custom LLM command” to scrape and summarize external context per opportunity without sacrificing batch performance or introducing non-deterministic drift in final decisions
Introduction / Background
Federal contractors like ATI face a constant flood of opportunities published daily across sources such as SAM.gov. Reviewing and triaging these opportunities is labor-intensive and error-prone. ATI sought a way to streamline this process without sacrificing compliance, auditability, or the nuanced expertise needed for government contracting.
Challenges
ATI’s team faced three main pain points:
Manual bottlenecks – Analysts spent too much time reading and interpreting each notice, slowing the pipeline.
Inconsistent outcomes – Subtle terminology and mixed signals often led to different reviewers reaching different conclusions.
Limits of AI-only approaches – Pure LLM solutions introduced latency, cost, and non-deterministic results, which are unacceptable for high-volume, compliance-sensitive environments.
Approach
Pinnacle Thrive Solutions implemented a hybrid AI pipeline that balances speed, accuracy, and transparency:
Rule-based safeguards establish non-negotiable filters and compliance guardrails.
Machine learning classifier (SVM with TF-IDF features) handles high-volume triage with deterministic, reproducible results.
LLM-enhanced tools provide value in the right places: training labels, generating justifications, and powering a “Custom LLM Command” for web scraping and summarization on demand.
This approach ensures batch processes remain fast, consistent, and audit-ready—while giving analysts access to richer context when needed.
Results
- 93.7% classification accuracy with consistent, reproducible outcomes
- 99.9% uptime through Kubernetes-powered infrastructure
- Thousands of opportunities processed overnight with confidence-based routing
- Analyst time savings through auto-approve, quick-review, and detailed-review pathways
- Faster research enabled by the Custom LLM Command, cutting manual context gathering from hours to minutes
Conclusion
By blending traditional machine learning with targeted AI capabilities, Pinnacle Thrive Solutions gave ATI a solicitation tracking system that is faster, smarter, and fully compliant.
For federal contractors, this case study demonstrates how the right balance of automation and human insight can transform opportunity management.
See it in Action!
Testimonial
“Pinnacle Thrive Solutions delivered exactly what we needed—a smarter, faster way to manage federal opportunities. Their hybrid AI approach gave us consistent, audit-ready results while dramatically reducing review time. Our analysts can now focus on the opportunities that matter most, backed by reliable context at the click of a button.”
ATI, Inc.
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