Enterprise Tech · San Diego · 2026
AI automation for the workflows under your engineering org — sprint ops, incidents, reporting.
⛰ Apex doctrine: SideGuy is the AI Translation Layer for Small Operators →TL;DR: AI automation for the workflows under your engineering org — direct read from a single operator. Below: the actual answer (no fluff), what most articles miss, and the path forward — including when to skip the rest of the read and just text PJ at 858-461-8054.
Helped people with this exact issue recently · single operator · no funnel
One SVP of Eng Ops to another operator: this is about the layer below the platform, where your leads lose hours every week.
The quick answer, Michele
- Sprint reporting rollups across 40+ scrum teams, auto-generated from Jira + GitHub — no more Monday morning status scramble
- Incident post-mortem drafts that actually pull the Slack thread, PagerDuty timeline, and PR history into a reviewable doc
- Engineering KPI dashboards that your directors don't have to nag ICs to update manually
- Built by someone who's shipped enterprise SaaS ops tooling — not a prompt-jockey selling wrappers
When to text PJ about AI automation for the workflows under your engineering org
Yes — text now
- You've read 2-3 articles, still don't know what to do
- About to spend $500+ on a tool / contractor / build
- Want a 30-second sanity check from someone not selling you
- Local to North County San Diego (faster routing depth)
No — figure it out
- You haven't tried the obvious built-in fix yet
- Looking for a free template you can DIY in 10 min
- Just casually browsing, no real decision pending
- Need a service we don't actually route (we'll say so)
The shift
- LLMs finally reliable enough for structured ops workflows, not just chat
- Engineering ops teams are the bottleneck, not the IDE — that's where hours bleed
- Off-the-shelf tools (ServiceNow included) leave the last-mile custom glue to humans
Where SideGuy fits
- Custom AI agents wired into your existing stack — Jira, GitHub, Slack, PagerDuty, ServiceNow
- Prototype in 2 weeks, production in 6 — no 9-month SOW theater
- San Diego local; your team, in-person, when it matters
12+ hrs
Per director per week lost to manual status rollups
2 wks
From kickoff to first working prototype in your stack
63
Mutual connections — we already run in the same SD tech circle
PJ · Encinitas, CA · 858-461-8054
SideGuy Solutions · UCSD-adjacent, still local
Michele — saw your UCSD CS roots and the Platform & Products Eng Ops scope at ServiceNow and figured you'd actually get what I'm building. I'm not pitching another AI platform; I'm the guy your team calls when they need a real workflow automated next month.
Coffee in Del Mar or a 15-min call — whichever's easier.
