Complete AI Training

AI app for human resources · no coding needed

Workforce planning workspace

Aggregate planning with explicit assumptions and no individual employment scoring.

Made for: Operations and HR leads at service organizations

What Workforce planning workspace looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Staffing decisions lack transparent workload assumptions.

What it gives you

Workforce scenarios for management review

What you give it

Aggregate workloadcapacitybudgetshiring assumptions

How it works, step by step

  1. Normalize workload units
  2. Calculate capacity gaps
  3. Model hiring timing
  4. Compare contractor options
  5. Expose budget effects
  6. Track actual demand

What you see on screen

  • Demand drivers
  • capacity scenarios
  • assumption history

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Workforce planning workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Workforce planning workspace with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links1 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare22 KB
  • prompt-vps.mdThe same build on your own server (Docker)22 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
  • demo/index.htmlThe working demo on sample data197 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

For operations and HR leads at service organizations, turn aggregate workload, capacity, budgets and hiring assumptions into workforce scenarios for management review. Address the recurring problem: staffing decisions lack transparent workload assumptions. The pilot measures forecast error and reconciled capacity assumptions against the buyer's current method, before the larger build.

Validate baseline inputs, confirm definitions and constraints, select editable assumptions, calculate feasible alternatives, inspect sensitivities, let the responsible person approve a plan, and compare later actuals with the recorded assumptions. Start with aggregate workload, capacity, budgets and hiring assumptions and finish with workforce scenarios for management review.

How the AI works

Extract input context and explain scenario differences. Use deterministic calculations or explicit optimization for quantities, compatibility, dates and prices. Show uncertain assumptions. Never let generated prose silently change the calculation rules.

Safeguards

Keep employee data access explicit and confidential. Use human judgment for personnel decisions and do not infer protected traits or hidden personal characteristics. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

What to build first

Begin with operations and HR leads at service organizations and one recurring use case. Build the first two modules: normalize workload units; calculate capacity gaps. Provide operator assistance for the third module: model hiring timing. Deliver workforce scenarios for management review through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

What it can connect to

Approved HR documents, employee directories and learning records. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. These are candidate integration categories, not verified supported connectors.

The screens in detail

Place editable drivers and constraints beside a clearly labeled scenario output. Include a baseline view, comparison chart or schedule, and an assumptions history. Let users trace a proposed quantity or date back to its inputs. Keep forecasts distinct from actual results. In this product, the first view is demand drivers, followed by capacity scenarios and assumption history.