AI is already in your business. Can you see where it goes?

Assistants like Claude, Copilot and Gemini draft, summarize and analyze in seconds; Perplexity researches with citations; Granola and Otter turn meetings into notes nobody had to type. The gains are measurable. But every one works by reading your data — and most staff started before anyone decided which tools were approved or what may be pasted in.

The benefits — measured, not promised.

 

saved per 40-hour week by the average generative-AI user. St. Louis Fed, 2025 less time on professional writing tasks, with quality up 18%. Science, 2023 more customer issues resolved per hour, most for newer staff. 5,000-agent field study

The tools — what each is good for, and what to check first.

Tool Good for Check before rollout
Claude Drafting, analysis, long documents Business plan, not personal accounts
Microsoft Copilot Work inside Outlook, Word and Teams SharePoint and Teams permissions
Google Gemini Work inside Gmail, Docs and Drive Drive sharing settings
Perplexity Research with cited sources Treat queries as public; verify citations
Granola Meeting notes from your own device Tell participants; review before sharing
Otter Meeting transcription and summaries Auto-join, consent and auto-share settings

 

Figure 1 — Share of data put into AI that is sensitive Figure 2 — The AI oversight gap
Tripled in two years. Cyberhaven Shadow AI added $670,000 per breach. IBM, 2025

Security concerns, and the challenges behind them

Data leakage

Unwanted access

Mistaken publishing

Client names, contracts and code pasted into a prompt leave your control — worst on personal accounts.

39.7% of AI interactions involve sensitive data (Cyberhaven, 2026).

Copilot and Gemini see everything the user can, so years of over-shared folders become answers.

99% of organizations have sensitive data AI can surface (Varonis, 2025).

Notetakers can keep recording after you leave, then email the summary to every attendee.

Alleged: Otter kept recording an investor call after the host left (2025).

Shadow AI

Confident errors

Consent and compliance

Staff use whatever helps, on whatever account. You cannot protect tools you do not know exist.

78% of AI users bring their own tools; 80% at smaller firms (Microsoft, 2024).

AI writes wrong answers as fluently as right ones. Output needs checking by someone who knows.

Developers were 19% slower with AI, believing they were 20% faster (METR, 2025).

Recording and privacy law apply to AI transcripts. Many notetakers ask only the host.

Four class actions against Otter were consolidated in 2025.

What this means for us

Blocking AI pushes it onto personal accounts. Governing it keeps the gains and the data.
  1. Approve a short list of tools, on business accounts only.
  2. Fix folder permissions before switching on Copilot or Gemini.
  3. Announce notetakers, and review summaries before sharing.

Adopt AI without the exposure.

We assess AI use, fix permissions before Copilot or Gemini goes live, and train staff on what never goes in a prompt.
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Sources: St. Louis Fed, 2025 · Science, 2023 · QJE, 2025 · Microsoft Work Trend Index, 2024 · Cyberhaven, 2025–26 · IBM, 2025 · Varonis, 2025 · METR, 2025 · In re Otter.ai Privacy Litigation, N.D. Cal. (allegations). Indicative.