Tool profile
Draup: cost, fit and limits
Draup is a workforce intelligence platform made by Draup, Inc. that models how AI changes tasks, roles and headcount, using a product called Etter, and supplies labor market and skills data through Talent Intelligence. It serves enterprise HR and transformation teams planning reskilling and hiring.
What to know first
Draup starts from a different question than most planners: not how many people to hire, but which tasks AI will take over. Etter scores each task for automation or augmentation and shows the effect on headcount, cost and capacity. Talent Intelligence adds workforce planning, location analysis and a dynamic skills architecture. There is no price list, but a free AI Workforce Diagnostic lets a buyer see output before a sales conversation.
Draup at a glance
| Maker | Draup, Inc., United States |
|---|---|
| Free plan | No |
| Entry price | Quote only |
| API access | Yes |
| Category | Best AI Workforce Planning Software in 2026, rank 6 of 10 |
| Website | draup.com |
Who Draup is best for
Transformation and reskilling leads
Etter builds reskilling and hiring roadmaps from the task-level view, which helps a leader explain to a board why certain roles shrink and others grow.
HR teams with a Workday, SAP or Oracle system
Native connectors write redesigned roles and skills back into Workday, SAP SuccessFactors and Oracle HCM, so the analysis does not stay in slides.
Buyers who want to test before a contract
The site offers a free AI Workforce Diagnostic, which gives a first reading of AI exposure for the company's roles without committing to a full license.
Draup plans and pricing
| Plan | Price | What it includes |
|---|---|---|
| AI Workforce Diagnostic | Free | An entry assessment offered on the site as a way to see AI exposure across roles. Scope and depth were not described on the page. |
| Etter | Not shown, demo required | AI workforce transformation: task-level AI scoring, scenario modeling of headcount, cost and capacity, ROI and reskilling or hiring roadmaps. |
| Talent Intelligence | Not shown, demo required | Labor market, work architecture, business and technology data, with workforce planning, peer intelligence, location analysis, talent acquisition and dynamic skills architecture. |
Checked November 2026.
What Draup does
- Task-level AI scoring
- Each task is scored for how far AI can automate or augment it, with reasoning for each score. That shifts planning from job titles to the work inside them, though the scoring method is the vendor's.
- Scenario modeling
- Etter lets users run a scenario and see the effect on headcount, cost and capacity. The page positions this as the bridge between an AI strategy and an actual workforce plan.
- Workforce planning in Talent Intelligence
- Alongside location analysis, peer intelligence and university hiring, a workforce planning module draws on external labor data. It suits buyers who want market context next to internal numbers.
- Agentic access and MCP
- The platform supports agentic AI and Model Context Protocol access for AI assistants, so analysts can query Draup data from tools they already use, though access terms were not described.
- Data feeds and connectors
- REST endpoints, scheduled pushes to S3, ADLS, BigQuery and SFTP, and listings on the Snowflake and Databricks marketplaces are described, alongside HRIS connectors, which lets data teams pull results into a warehouse.
How Draup handles your data
Draup's page lists SOC 2, GDPR, CCPA, ISO 27001 and ISO 42001 among the standards it follows, says it audits for bias and is a member of the EAIGG, and describes AI governance that combines automated evaluations with human-in-the-loop review. It names Draup, Inc. with an address in The Woodlands, Texas. The page does not state where data is hosted, how long data is retained or whether customer data is used to train models, so the vendor's policy was not checked for those points.
Where Draup falls short in practice
- Hosting and training are unstated. The page lists standards but not the hosting location or a rule on training with customer data. Both matter when role and skills data is uploaded.
- Focus on AI impact. Etter models AI exposure, not salary budgets, hiring approvals or attrition forecasts. A finance team building next year's headcount budget will likely still need a planning engine.
- Vendor-defined scores. The task scores and ROI figures come from Draup's models, and the pages give no external validation. Compare them with your own role knowledge during the diagnostic.
Works with
Alternatives to Draup
Draup: common questions
What does Draup's Etter do?
Etter models the impact of AI across business units by scoring each task for automation or augmentation, with reasoning, then shows the effect on headcount, cost and capacity. It also quantifies ROI and builds reskilling and hiring roadmaps. The scoring method is Draup's own.
Does Draup have a free option?
The site offers a free AI Workforce Diagnostic and a demo request. It lists no free plan and no pricing for Etter or Talent Intelligence. Ask what the diagnostic covers, how long it takes and whether results are yours to keep.
Which certifications does Draup list?
The page lists SOC 2, GDPR, CCPA, ISO 27001 and ISO 42001, plus EAIGG membership and bias audits. It does not give audit dates or scope, so ask for the SOC 2 report and the ISO certificates before sharing employee data.
Can Draup write changes back to our HR system?
Draup describes native connectors for Workday, SAP SuccessFactors and Oracle HCM that write redesigned roles and skills into existing systems. REST endpoints and scheduled data feeds to S3, ADLS, BigQuery and SFTP are also listed, so ask which connector fits your system.
Is Draup a headcount budgeting tool?
Not mainly. Etter focuses on how AI affects tasks and roles, and Talent Intelligence adds workforce planning with external market data. Companies that need hiring approvals and budget scenarios typically pair it with a planning engine or an HRIS planning module, and use Draup for the AI exposure view.