Know where your company really stands with AI.

People paste work into private ChatGPT or Claude accounts because the approved tools don't cover the job — and saying so out loud feels risky.

Fathomly gives every employee a protected channel to say what they actually use and need, and points to an approved alternative when one exists. You get an aggregated picture of shadow usage per area, the reasons behind it, and concrete tool needs: the basis for a whitelist decision instead of the next ban.

Employees don't need to know anything about AI. Fathomly asks about the work — repetitive tasks, hand-offs, rework — and the automation candidates emerge from the answers.

You get a shortlist of recurring tasks named across teams, each backed by how often it was mentioned and by supporting quotes. Feasibility and prioritization stay a human decision.

Everyone has access, yet teams progress differently. The first cycle sets the baseline, every cycle after it shows what moved: company-wide right away, and per area once enough people there have answered.

Short recurring conversations show which tasks AI already helps with and where quality or review effort slows people down — so you can aim training, templates, and support where they're needed next. Without evaluating individuals or leaders.

Telemetry shows logins, not value.

Recurring conversation cycles show where people get stuck and what is missing: a decision basis with PII-redacted quotes instead of gut feeling.

Post-training surveys measure the mood on the day. Two and six weeks after each wave, the agent asks what people still actually use.

Recurring check-ins show which parts of the training made it into daily work, what got dropped and why, and where a follow-up would help — so the next enablement budget goes where transfer actually breaks down.