See how much time your team gets back with AI

Enter your team size and how you’d use AI day to day. We’ll estimate the hours and dollars WorkLLM could save your team each month, based on real adoption patterns, not best-case guesses.

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Your AI ROI Calculator

Estimate the time and money your team could reclaim with WorkLLM.

Your Team Details

Adjust these inputs to see your estimated impact.
Users
Min: 5, Max: 1000 is allowed
$ /hr
Min: $25, Max: $250 allowed
Expected adoption level
Light Used for quick questions, summaries, and fast answers — ideal for teams getting value from AI without changing how they work.
Regular Used throughout the day for writing, analysis, summaries, and shared context — AI becomes part of everyday work.
Heavy Used to power workflows, tools, and agents — teams automate tasks and rely on AI to drive execution end to end.

Projected Impact

Based on common impact that we have measured across the teams

Results
Team Hours Reclaimed
22 - 25 hrs/month
Productivity Value
$2k - $3k $/month
Annual Team Hours Reclaimed Calculated from typical daily usage across active team members.
250 - 280 hrs/year
Productivity Value Per Year Annualized value of reclaimed time based on your inputs.
$10k - $20k /year

Where the time comes from?

Every hour WorkLLM saves your team comes from somewhere real, not a guess. Here’s what’s actually driving the number.

Task-based AI Agents

Task-based AI agents turn a simple input into first-draft reports, proposals, summaries, and content in seconds, so no one starts from a blank page.

Organization Memory

Context, answers, and decisions live in one place, so no one re-explains the company or hunts for the same information twice.

Knowledge-based AI Agents

Instant answers from your company's own knowledge instead of digging through docs, tools, or asking a coworker through AI Agents.

Multi-model execution

No jumping between tools or re-entering context to get the best model for the job.

Workflow Agents

Multi-step, repetitive work, updates, reports, follow-ups, runs on its own instead of eating someone's afternoon.

Team Collaboration

Shared threads and outputs mean less re-explaining, less duplicated work, and less lost time switching between tabs and tools.

FAQs

It estimates how much time your team can reclaim with WorkLLM by reducing repetitive work, searching, rewriting, and context switching. That reclaimed time is then translated into a value estimate using your team size and hourly cost.

No. This calculator shows time capacity reclaimed, not guaranteed budget savings. Most teams reinvest this time into higher-value work.

Three things matter most: how often your team uses AI, which tasks are automated or assisted, and your team’s roles and workflows. The calculator assumes average adoption, not best-case scenarios.

It reflects how deeply WorkLLM is embedded in daily work. 1) Light: mainly chat and occasional collaboration, with minimal automation. 2) Regular: shared threads used daily, knowledge agents used weekly, some automation in place. 3) Heavy: the team works in shared AI threads constantly, workflow agents run recurring tasks, and AI is used for repeatable work at scale.

The ranges are intentionally conservative, based on common AI workflows, team collaboration patterns, and realistic daily usage, not “2 hours saved a day” hype.

Knowledge AI agents answer repeated questions using your company’s own knowledge, so there’s less searching, fewer interruptions, and more consistent answers across the whole team, not just one person.

Workflow agents remove recurring manual work like daily summaries, weekly digests, and follow-ups, creating time savings even when no one is actively prompting.

Most teams notice time savings immediately from search, drafting, and quick answers. Deeper savings build as knowledge and workflow agents get adopted across the team.

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