What is your repetitive work actually costing?
Move the sliders. The number on the right is what those hours are worth at your cost structure — and what is realistically recoverable with automation.
Based on 48 team-hours per week currently spent on repetitive work — 1k hours a year that could return to judgment work, customers, or simply not be worked.
A rough model, not a promise. Our workflow audit replaces estimates with measurements.
How we automate thisHow the estimate works
The model multiplies three inputs you know — team size, loaded hourly cost, and the hours each person spends on repetitive work — then applies the share you would realistically automate. We show a range because outcomes depend on the workflow: structured, rule-heavy work (data entry, triage, reporting, document handling) automates at the high end; judgment-heavy work does not, and should not, be automated at all.
The number is a conversation starter, not a quote. When we run a workflow audit we replace these assumptions with measurements from your actual tools — where the hours really go, which workflows carry the best savings-to-risk ratio, and what the first automation should be. The dashboard we leave behind keeps counting after we are done.
Two honest caveats. First, automation shifts work rather than deleting all of it: someone still reviews exceptions, and the calculator already prices that in at the conservative end of its range. Second, the recoverable share caps out well below 100% on purpose — teams that assume everything repetitive can be automated usually discover workflows with edge cases that genuinely need a human. When that happens to you, compare the human-only and third-way columns on our comparison page.
Want the full version? The savings & ROI calculator
The sliders above are the two-minute take. The full calculator takes the same question apart properly: build the team role by role, set each role's automatable hours and loaded hourly cost, and get a conservative-to-aggressive savings range with the payback window against a real engagement cost band — plus a summary you can print, download, or email to whoever owns the budget. Same honesty: every assumption is stated on the page.
Open the savings & ROI calculatorAlso free: the agent-readiness check
Type any URL and we score it on the conventions AI agents actually rely on — robots.txt policy, markdown negotiation, llms.txt, MCP and A2A endpoints, and ten more. If your site doesn't pass, that's a problem we fix for a living: we deliver full agent compatibility, usually inside a week. The same discipline this site is built on, pointed at yours.
Is your website agent-ready?And: the team skills-gap checker
The calculator above prices hours. A different question: which of your people is most exposed to AI, and who should you train first? List your roles, rate how much each already uses AI, and get per-role gap scores, a training priority order, and a first exercise each person can run this week.
Check your team's AI skills gapsAnd: the shadow-AI exposure check
A third question, the one auditors are starting to ask: how much AI is running through your company that nobody approved? Answer ten questions about what your people use, what data flows through it, and what governs it — and get an indicative exposure score with the three areas to investigate first. No email gate; the number appears the moment the last answer does.
Check your shadow-AI exposureAnd: the AI usage policy generator
Knowing your exposure is step one; writing the rules is step two. Answer eight questions about your sector, your data, your approved tools, and your red lines — and get a complete employee AI acceptable-use policy in markdown, assembled from reviewed templates rather than generated. Copy it, download it, hand it to whoever owns data protection. No email gate; the document appears the moment the answers do.
Generate your AI usage policyAnd: the AI Work Mix scorecard
The question behind every other tool on this page: who does the doing, and who keeps the judgment? Answer twelve questions across five dimensions — how much hands-on work AI actually executes, the review loop around it, decision rights, tool sprawl, skills investment — and get your work-mix score, the shape behind it (over-delegated, under-delegated, side-by-side, balanced), and the two moves that matter first. No email gate; the score appears the moment the last answer does.
Score your AI work mixOne email a month on practical AI adoption
What we ship for clients, what the tools can honestly do this month, and one thing worth trying in your own team — written by us, no hype, unsubscribe anytime.