Success Stories

Discover how leading organizations are transforming their operations with Awardos AI-powered knowledge management platform.

Customer Success Stories

🛡️

SMB in the TPM/ITAD Space

IT Infrastructure Maintenance & Asset Disposition

An independent third-party maintenance and IT asset disposition provider is piloting Awardos' resident AI platform to codify its senior engineers' deep infrastructure expertise into a governed knowledge fabric — giving frontline support teams instant, policy-grounded answers on end-of-service-life hardware, multi-vendor systems, and complex maintenance procedures without diluting its high-touch, direct-to-expert support model.

Pilot
Pilot in progress — MTTR & search-time reduction being measured (projected)
Projected
Faster, more consistent answers across EoL hardware and multi-vendor environments (projected)
Pending
Results to be published upon pilot completion
🎓

Large US State University

Higher Education

A large state university partnered with Awardos to build a private, office-based AI assistant that automates transcript review against official graduation policies while keeping student data fully local. The appliance parses transcripts, checks requirements, and generates cited, advisor-ready summaries in minutes.

2x
Speedup in Transcript Review (as observed in pilot deployment)
Hours saved
Workflow Automation
No internet
Air-gapped
📹

Global Broadcast Camera Company

Technology

A global broadcast and surveillance camera company relies on Awardos’ knowledge fabric and inference engine to operationalize complex IT and engineering manuals across vendors and product generations. Their teams get model‑specific, step‑by‑step guidance with embedded safety and prerequisite checks, all grounded in original source evidence.

Up to 7x
ROI — as observed in initial pilot testing
1.7x
Sales Conversions — as observed in initial pilot testing
Instant Access
Product context and solution guidance — as observed in initial pilot testing

Proven Results Across Industries

🛡️SMB in the TPM/ITAD Space

Challenges

  • Senior engineers spending time on repeat questions instead of complex incidents
  • Fragmented knowledge across tickets, OEM docs, and runbooks
  • Turning niche end-of-service-life hardware expertise into a scalable offering

Solutions

  • Resident AI knowledge fabric connected to existing documentation and ticket systems
  • Natural-language and workflow access for engineers
  • Captures senior-engineer tribal knowledge into a reusable, governed asset

Results

  • Pilot in progress — MTTR and search-time reductions currently being measured (projected, not yet finalized)
  • Early qualitative feedback positive from engineering leadership (unverified, informal)
  • Full results to be published upon pilot completion

🎓Large US State University

Challenges

  • Manual transcript review and checklist work
  • Complex graduation policy requirements
  • Strict student data privacy obligations

Solutions

  • Private, office-based AI assistant for advisors
  • Transcript parsing with cited summaries
  • Local appliance deployment without internet dependency

Results

  • 8–10 week delivery for first working transcript review assistant
  • Hours saved each graduation cycle by reducing manual checklist work (projected)
  • Air‑gapped, no‑internet design eliminating cloud exposure of student records

📹Global Broadcast Camera Company

Challenges

  • Complex manuals across vendors and product generations
  • Safety and prerequisite checks for field procedures
  • Need for consistent, policy-grounded responses

Solutions

  • Knowledge fabric and inference engine for manuals
  • Model-specific, step-by-step procedural guidance
  • Evidence-grounded responses with citations

Results

  • Up to 7x ROI from faster, higher‑confidence procedural answers (as observed in initial pilot testing)
  • Significant reduction in repeat escalations due to consistent, policy‑grounded responses (projected)
  • Growing procedural knowledge graph that compounds value as new manuals are ingested

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