Frank Gallagher, Jr.

AIOps Architect • Enterprise Ops Automation • Rapid Prototyping

Frank Gallagher, Jr.

I help enterprise operations teams reduce toil and tighten time-to-resolution by improving observability signal quality, incident correlation, and automation—often with pragmatic AI.

Las Vegas, NV US time zones friendly Enterprise-first

Consulting services

Engagements can be advisory, hands-on build support, or rapid prototyping sprints. If you’re stuck at a “tipping point” in ops maturity, this is where I help.

Incident correlation & AIOps design

Correlation strategy, data contracts, enrichment, suppression, and routing patterns that reduce noise without losing coverage.

  • Correlation heuristics + evaluation
  • Runbook + automation entry points
  • Executive-ready operating model

Observability signal quality

Improve signal-to-noise across metrics/logs/traces + external signals, then translate it into incident readiness.

  • Alert standards + taxonomy
  • Dedup, grouping, and tuning
  • Service mapping (practical)

AI prototypes for ops workflows

Build or validate targeted AI features: summarization, similarity, retrieval, and structured extraction—designed for production constraints.

  • NLP/NLU + IR (vector search)
  • LLM guardrails + evals
  • Fast pilot-to-prod path

Typical outcomes

Less noise, faster response, better handoffs, and automation that sticks.

Noise / duplicates
MTTA
Toil
Confidence

Proof and credibility

20+ years in enterprise IT operations and service delivery; deep experience with monitoring, observability, automation, ITSM integrations, and AI-powered workflows.

What I’m known for

  • Systems thinking for incident flow (MTTD → MTTA → MTTR)
  • Data contracts and durable integrations
  • Automation that respects human workflow
  • Prompting + retrieval tuned for ops reality

Writing & notes

Lightweight publishing works best here. Start with a few “evergreen” posts, then grow it into /writing/ when you’re ready.

Replacing static ITSM

Why tickets and CMDBs break under transformation—and what a dynamic model looks like.

Request a draft →

Correlation patterns that scale

Practical patterns for enrichment, suppression, routing, and human-friendly summarization.

Talk through it →

Contact

Tell me what you’re trying to accomplish, what tools you run, and what “better” means for your team.

Email (personal) Email (work)

About

First and foremost: husband, stepfather, and cat-dad. I find joy in music and I’m well-traveled. Professionally: enterprise ops, observability, automation, incident correlation, and pragmatic AI prototypes.