See how much time your team can reclaim with WorkLLM

Teams adopt AI to get time back — from catch-ups, searching, rewriting, and context switching. WorkLLM is designed to reduce that daily friction by bringing chat, context, AI assistants, and AI agents into one shared workspace.

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Estimate Your Team's ROI

See what time and money your team can 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?

WorkLLM reduces time spent on repetitive and fragmented work across the day and cuts “team friction” caused by scattered tools and duplicated effort.

Multi-LLM access with the right model for the task

Teams choose the best model for speed, reasoning, or creativity — reducing retries and avoiding wasted cycles on poor outputs.

Collaboration in the same thread (co-prompting + comments)

Less back-and-forth copy/paste and fewer “what did you ask the AI?” moments. Teams align faster because the context and outputs are shared.

Assistants grounded in your knowledge

Fewer repeated questions in Slack/Email and less time hunting policies, specs, and documents. Answers stay accurate and consistent across the team.

Agents & automations

Replace manual routines like “morning catch-up”, “end-of-day recap”, and “weekly updates” with automated runs — so work happens even when nobody remembers to do it.

AI tools for common tasks (summarize, extract, rewrite, analyze)

Faster execution for repeatable tasks without rewriting prompts every time. Tools standardize output and reduce rework.

Standardization across the team

Consistent inputs and outputs reduce review time, rework, and misalignment across teams.

Searching emails, files, and documents

Ask once, get answers with context — instead of opening 10 tabs and reading 3 PDFs like it’s 2009.

Drafting, rewriting, and polishing content

Faster first drafts and higher-quality edits using shared prompts, assistants, and reusable workflows.

Reduced context switching across apps

One shared AI workspace instead of scattered chats and disconnected tools — fewer interruptions, fewer “wait where is that?” moments.

FAQs

It estimates how much time your team can reclaim using WorkLLM by reducing repetitive work, searching, rewriting, and context switching. That reclaimed time is then translated into time capacity value 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 frequently AI is used
  • Which tasks are automated or assisted
  • Team roles and workflows
The calculator assumes average adoption, not edge cases.
It reflects how deeply WorkLLM is embedded in daily workflows:
Light: Mainly AI chat + occasional collaboration, Basic assistants used occasionally, Minimal automation Regular: Shared threads + comments used daily, Assistants used weekly/daily, Standard AI tools used often, Some automations (summaries/digests) Heavy: Team collaborates in AI threads constantly, Assistants are used daily across teams, Agents run workflows (digests, monitoring, recurring tasks), AI tools are used for repeatable work at scale
The ranges are intentionally conservative and based on:
  • Common AI workflows
  • Team collaboration patterns
  • Realistic daily usage (not “2 hours saved per day” hype)

Assistants answer repeated questions using your knowledge, so:

  • Fewer interruptions
  • Less searching
  • More consistent answers This saves time across the entire team, not just one user.

Agents remove recurring manual work like:

  • Daily summaries
  • Weekly digests
  • Monitoring and follow-ups This creates time savings even when no one is actively prompting.
  • Prompt rewriting
  • Output inconsistency
  • Review and rework cycles
Most teams notice immediate time savings from summaries, search, and drafting. Deeper ROI compounds as assistants, agents, and shared workflows are adopted.

Happy Customers

Customer satisfaction is our major goal. See what our customers are saying about us.

Ready to see this in action?

Try WorkLLM with your team and experience the impact directly.