HRMS Grows Into a Workforce Intelligence OS
People, skills, goals, learning, teams, work, career mobility and AI assistance — with clear lines between what humans own and what AI may do.
Every concept carries a status
- Status: AVAILABLE
- Already supported by Prakura products or demos today.
- Status: NEAR-TERM
- An expected evolution of an existing Prakura capability.
- Status: EMERGING
- Technology that is becoming commercially practical.
- Status: RESEARCH CONCEPT
- An experimental direction Prakura is studying.
- Status: MOONSHOT CONCEPT
- A long-term product vision, not a plan or commitment.
01
Workforce Digital Twin 2.0
Departments, skills, roles, goals, capacity, projects, learning, hiring and AI agents for a synthetic 1,200-person company.
- Departments
- 9
- Roles
- 64
- Tracked skills
- 210
- Capacity used
- 87%
- Open roles
- 23
- AI agents in use
- 6 (all with approvals)
Synthetic organisation.
02
Organization Scenario Simulator
“What happens if we launch a new AI division?”
Choose a scenario
Roles required
- ML engineers ×8
- Data engineers ×5
- AI product managers ×2
- Evaluation/QA ×4
- Platform ×6
Skills available internally
- Python (41 people)
- Data pipelines (12)
Skills missing
- LLM evaluation
- MLOps
Internal candidates
- 14 people with ≥60% skill match
Learning paths
- Agentic AI Engineer (12 weeks)
Hiring gaps
- ~9 external hires
Hypothetical simulation; no real employee data.
03
Internal Talent Marketplace
Employees discover projects, roles, mentoring, learning and career paths based on verified capabilities — and choose whether to be visible.
Viewing as
Projects
- Payments test automation (78% match)
Mentoring
- Pair with a Test Architect
Roles
- SDET opening, Platform team
Why
- Playwright evidence 84%
- Goal: SDET
- Opted into internal visibility
04
Workforce Skill Genome
Organisation-wide skill map.
| Category | Examples | Signal |
|---|---|---|
| Strong | Java, manual testing, SQL | Broad evidence |
| Emerging | Playwright, TypeScript | Growing fast |
| Critical gaps | LLM evaluation, cloud security | Few people |
| Declining | Selenium RC, legacy ETL | Less use |
| Future | Agent operations, AI governance | Not yet present |
Illustrative.
05
Organizational Memory & Institutional Timeline
Documents, projects, decisions, experts, processes, policies and lessons — answers come with traceable sources.
2023 Q2 · Human
Decision: monolith split into payments + ledger services (ADR-014).
2024 Q1 · System
Failure: event bus outage; lesson recorded — add dead-letter queue.
2025 Q3 · Human
Architecture changed: moved to managed Postgres (cost + backups).
Today · AI
Q: “Who has worked on ledger reconciliation?” → 3 experts, 2 documents cited.
06
AI Chief of Staff
Human-led decision support for executives.
Open
Today
- 2 approvals waiting (hiring, budget)
- Board deck due Friday
- Engineering hiring 40% behind plan
07
Future Enterprise Simulator & AI Organization Designer
“Design an engineering organization for a 200-person SaaS company.”
Prompt
Teams
- 4 product squads (8 each)
- Platform (14)
- Data (10)
- Security (6)
- QA enablement (6)
Reporting lines
- CTO → 3 Directors → EMs
AI agents
- QA Agent per squad
- DevOps Agent (platform)
- Knowledge Agent (org-wide)
Skill requirements
- TypeScript, Go, Kubernetes, Playwright, LLM eval
All outputs are hypothetical.
08
Human + AI Workforce Map & AI Labor Boundaries
Every workflow states who owns what.
| Workflow | Human-owned | AI-assisted | Agent-executable | Human approval |
|---|---|---|---|---|
| Onboarding | Welcome, buddy | Checklist drafts | Account requests | Access grants |
| Payroll change | Decision | Impact summary | — | Always |
| Regression testing | Release call | Test design | Runs suites | Release |
| Policy questions | Exceptions | Answers with sources | — | Exceptions only |
More of the Prakura Intelligence Universe
- World Model
- Adaptive Interface
- Spatial AI Workspace
- Future Learning
- Future Engineering
- Career Intelligence
- Multimodal Intelligence
- Industry Digital Twins
- Physical AI
- Future AI Platform
- Collaboration Space
- Autonomous Enterprise Lab
- Presentation Engine
Future concepts are potential directions and Prakura explorations — not commitments or predictions. Every visual on this page has a list or text equivalent, and all motion stops with reduced motion.
See what Prakura can do for you today
Every future concept starts from a product you can try now.