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Case Studies / Artemis Ops

How Artemis Ops Cut Review Time by 20% with a Lean Team Using Optibot

A small construction-tech team turned massive, slow PRs into a non-issue — with AI handling first-pass reviews, surfacing critical issues instantly, and syncing context directly into Notion.

Faster Development Cycle

20%

Overall process speed improved.

Review Bottlenecks

0

Every PR reviewed instantly by Optibot.

PRs Auto-Synced to Notion

100%

No manual cross-linking needed.

See why engineering leaders at high growth companies use Optimal AI

Sam Lee — CEO & Co-Founder, Artemis Ops

"Not only is Optibot doing the work for us, it's making us stronger engineers too."

Sam Lee

CEO & Co-Founder, Artemis Ops

Artemis Ops builds software for the construction industry — automating compliance paperwork and workflow tracking for operators who don't have time for friction. The product was scaling; the engineering team was small. The bottleneck wasn't ideas. It was reviews.

By adopting Optibot as their AI code review agent, Artemis Ops eliminated review bottlenecks, cut their overall development cycle by 20%, and made every engineer stronger — without adding headcount.

The Problem

Big PRs, Context Switching, and Reviewer Availability Slowed Everything Down

Artemis Ops tracked work in Notion and paired tickets with PRs. When code was "ready," it moved to review — where velocity stalled. PRs often ballooned to thousands of lines, and the review process couldn't keep up.

  • Large, high-context PRs demanded deep, line-by-line attention — pulling engineers off their own work
  • Reviewer availability created gaps — when the second engineer wasn't free, progress froze entirely
  • Manual cross-linking between GitHub PRs and Notion tickets created extra clicks and review fatigue

"Some PRs were thousands of lines. We'd read through every single change. It took forever and pulled people off their own work."

Sam Lee

CEO & Co-Founder, Artemis Ops

The result: slower ticket turnaround, inconsistent review quality, and a team spending more time inspecting code than shipping improvements.

The Solution

Optibot: AI Reviews, Auto-Summaries, and GitHub ↔ Notion Sync

Artemis Ops adopted Optibot to front-load signal and reduce human drag. Setup took minutes over Slack, and the team was reviewing with AI on day one.

Auto review on every PR

Optibot scans diffs immediately and flags the highest-risk changes first — so humans skim smarter, not harder.

Critical issue highlighting

Big, structural concerns surfaced in seconds. "The really big PRs have been great — it just highlights the six things we need to change."

Auto-summaries of changes

Clear overviews of what changed and why reduce "where do I start?" time and keep reviewers focused.

GitHub ↔ Notion sync

Optibot's PR comments flow directly into Notion tickets — no extra tab-hopping, no manual context copying.

"Optibot identifies big changes that could be a problem faster than we would. We still skim, but we rely on it to highlight the big issues or inefficiencies."

Sam Lee

CEO & Co-Founder, Artemis Ops

The Results

20% Faster Process, Fewer Interruptions, and Stronger Engineers

With Optibot handling first-pass review and pushing context into Notion, Artemis Ops saw measurable impact across their entire workflow:

  • 20% faster overall development cycle — review, ticket flow, and merges
  • Zero review bottlenecks — Optibot reviews every PR instantly, with or without a second engineer
  • Fewer pull-offs — engineers are interrupted less to review others' work
  • Faster ticket turnaround — PR comments sync automatically into Notion
  • Better engineers — Optibot's feedback on redundancy and inefficient patterns raised the team's bar

"Having a system that can auto review was crucial for a small team. The onboarding was so smooth — done over Slack — and everyone said, 'Wait, that's so cool.'"

Sam Lee

CEO & Co-Founder, Artemis Ops

"Not only is Optibot doing the work for us, it's making us stronger engineers too."

Sam Lee

CEO & Co-Founder, Artemis Ops

The Impact in Numbers

Before and after metrics for Artemis Ops's team using Optimal AI

Real numbers verified by the leaders using the tech.

Metric

Before

After

Improvement

Overall Process Speed

Baseline — slow review and ticket flow

20% faster across review, ticket turnaround, and merges

20% improvement

Large PR Review Flow

Line-by-line reading for thousands-of-line diffs

AI highlights critical issues first; humans skim smarter

Less reviewer time

Reviewer Availability

Blocked when second engineer unavailable

Automatic review on every PR, any time

Consistent coverage

Ticket Turnaround

Manual cross-linking GitHub ↔ Notion

PR comments auto-sync to Notion tickets

Faster tickets

Onboarding

N/A

Slack-based setup, live on day one

Same-day time-to-value

Cut cycle time by 50% and get visibility into engineering productivity

Start reviewing PRs faster, catching issues earlier, and shipping with confidence.

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