Upload a list of job titles and departments. In under two minutes you get a role-by-role map of where AI training will actually pay off so you invest enablement deliberately instead of everywhere at once.
Market research work is dense with research, segmentation, survey synthesis, performance analysis, and strategy recommendations, making it a clear AI-training priority.
Blanket AI training spreads budget evenly across roles that don't all benefit evenly. The roles where AI changes daily work are a subset, and without a map, you can't tell which.
distinct job titles in a typical 10,000-person organization, often inconsistent, overlapping, and impossible to map to AI-relevant work by hand.
enablement budgets are allocated by headcount or department politics, not by where the work patterns actually make AI training pay back.
is the question every leader gets asked after "we need an AI plan." Talvio turns that into a defensible starting point, not a guess.
The TAP score is not a black box or a vibe. It is checked against external research, and we tell you exactly where it is strong and where local judgment still matters.
We don't oversell the precision. National occupation profiles are not your org. Titles and real workflows differ, which is why Talvio ships with Match Review and one-click overrides, so the analyst, not the algorithm, has the final say.
Three steps. No integration, no IT project, no employee personal data.
An Excel or CSV with job titles and departments. No names, IDs, or salary data. One row per employee, up to 10,000 in a standard analysis.
Each title is matched to a U.S. Department of Labor O*NET occupation and scored with Talvio's reviewed work-activity methodology.
An interactive treemap, department rollup, use-case breakdown, and training-tier cohorts show exactly where training ROI is highest.
Not a risk score. A prioritized, costed enablement roadmap with the reasoning attached.
The roles that already have enough documentation, data, communication, and decision-support work to justify role-specific AI practice, ranked not guessed.
Talvio separates use cases to train now from cases where the work pattern exists but approved AI tools are not ready, so you do not train into a dead end.
The strongest work-activity driver becomes the lead topic, paired with skip-for-now lists and a transparent cost assumption you can challenge.
The output adapts to why you're here.
You've been asked for an AI workforce plan. Walk in with a role-by-role map, external validation, and a costed starting cohort instead of a hunch.
See the leadership view →You need enablement sequenced, not sprayed. Use the tool-gap split and tier cohorts to phase rollout where work patterns and approved tools both line up.
Explore the full dashboard →Multi-client workspaces, white-label executive PPT exports, client viewer links, and a methodology pack, priced per engagement, not per seat.
See the consultant plan →Start with sample workforce data. Upgrade when you're ready to act on your own roster.
Early-access pricing is available during beta. Secure checkout via Stripe.
Start with the live demo on sample data, or run your own full analysis. An interactive TAP analysis in under two minutes.
