BlogPage 42
Insights on team efficiency, management, and AI tools.

IT Asset Management With AI: Tracking Devices for a 60-Person Company
Most SMBs hit 60 employees with no real asset register and a hardware budget that has quietly tripled. A joiner / mover / leaver flow with AI-prepared emails, a single source of truth, and a…

The 5-section investor update template AI can fill from raw data
A clean 5-section investor update — highlights, lowlights, asks, runway, hires — that AI can assemble in 20 minutes from the data you already have. With the exact raw inputs each section needs.

Investor update cadence: monthly vs quarterly — and what AI changes
The monthly-vs-quarterly trade-off used to be about founder time cost vs investor information loss. AI lowering drafting cost shifts the calculation — for most SMB stages, monthly now wins.

Internal Mobility With AI: Match People Before They Look Outside
Most SMBs lose their best employees to outside offers for roles they already have open internally. An AI matching program — skills, interests, openings — runs quarterly and avoids surveillance-style…

Incident Retro Template AI Fills From Logs, Slack, Status Page
Timeline reconstruction is 60% of incident retro effort and almost none of the value. A template AI fills automatically from logs, Slack, and the status page — so humans own the learning and action…

Rolling Out HR Policy Updates With AI: 21-Day Process
Most SMBs roll out HR policies the wrong way — drop a PDF in Slack and wait for the complaints. A 21-day process with AI-drafted FAQ and a quiet-questions period that lands the change without the…
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Handling GDPR Data Subject Requests with AI: 30-Day SLA Pattern
GDPR gives you 30 days to respond to a data subject request, and most SMBs without GC discover that on day 28. A 5-step DSR pattern — acknowledge, verify, pull, review, respond — and where AI…

Prepping a fundraising data room with AI: a 14-day plan
A day-by-day plan for building a clean fundraising data room with AI. Which documents AI drafts safely, which need legal or finance review, and the one anti-pattern that kills the round.

Expense Policy Enforcement: 6 AI Patterns That Catch 90% of Violations
Most SMB expense policies live in a PDF that nobody reads. Six AI pattern checks — off-policy merchants, after-hours flags, duplicates, vague descriptions, missing receipts, off-cycle approvals…

Exit Interview Analysis With AI: 7 Themes That Surface
Most SMBs file exit interviews in a drawer and never re-read them. A 7-theme AI analysis turns a year of leavers into a retention roadmap — manager, comp, growth, culture, WLB, RTO, product.

Engineering Docs With AI: What It Writes Well vs What It Doesn't
API references, setup guides, and runbooks are where AI documentation actually works. Design docs and decision records are where it fails. A breakdown of why — and how to split your engineering doc…

Using AI to anticipate the 40 questions investors will ask in DD
Investors ask ~40 questions per round, falling into 6 categories. A prep workflow where AI generates the category-specific question bank, the founder answers cold, and the gaps surface before DD…
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