More Autonomy Only Where Governance Can Carry It
Six levels of enterprise autonomy, and the controls Prakura designs into every agent: constitutions, simulation before execution, replay, policies, approvals and security layers. Full autonomy is not always desirable.
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
Autonomy Levels 0–5
Select a level to see who decides and which controls apply.
Level
Who acts
- People do the work
Example
- Spreadsheet placement tracking
02
Responsible Autonomy Framework
Every autonomous workflow defines seven things.
Scope
What the workflow covers.
Permissions
Read, draft, act — per system.
Limits
Budgets, rates, time windows.
Escalation
When to stop and ask.
Human Approval
Named approvers for impact.
Audit Trail
Who, what, when, why.
Rollback
How to undo.
03
Agent Constitution
A Prakura design signature: every agent concept states what it can and cannot do.
| Agent | Can do | Cannot do | Requires approval | Data access | Escalates when |
|---|---|---|---|---|---|
| HR Assistant | Answer policy questions with sources | See salaries, change payroll | Sending emails | HR policies (read) | Question involves an exception |
| QA Agent | Draft tests, run suites | Merge code, skip failing tests | Release recommendation | Repo (read), test env | Critical path fails |
| Placement Agent | Recommend practice and roles | Share contact details | Sharing a profile with a recruiter | Readiness data (masked) | Student opts out |
04
AI Simulation Before Execution
Preview what will happen, then approve.
- 1Preview — Step 1: Create 12 accounts for new joinersAI
- 2Preview — Step 2: Add them to 3 LMS coursesAI
- 3Preview — Step 3: Email welcome notesAI
- 4Impact: 12 people, 2 systems · Approvals: HRSystem
- 5ApproveHuman · approval gate
- 6Executed (simulated)System
05
Agent Replay
After execution: observed, planned, actions, approvals, outcome, errors.
Observed · System
12 offer letters signed in HRMS.
Planned · AI
3-step onboarding plan generated.
Approved · Human
HR manager approved at 10:37.
Actions · AI
12 accounts created, 36 enrolments, 12 emails.
Errors · System
1 email bounced → retried after HR fixed the address.
Outcome · System
Completed; audit record #A-2291.
06
AI Reliability Center
Demo metrics only until production.
- Agent reliability
- 97.8%
- Tool reliability
- 99.1%
- Grounding
- 94% cited
- Human overrides
- 3.2%
- Failures
- 11 this week
- Recoveries
- 10 automatic, 1 manual
Demo metrics — not production data.
07
Digital Ethics Center
Eight commitments reviewed for every agent.
Privacy
Minimum data, clear purpose.
Bias
Test for unequal outcomes.
Accessibility
Usable by everyone.
Human Control
People decide impact.
Automation Boundaries
Some work stays human.
Transparency
Explain why.
Sustainability
Right-size compute.
Safety
Refuse harmful actions.
08
AI Policy Simulator
Choose a policy and see its effects.
Policy question
If Yes
- Faster reminders
- Risk: wrong recipient
If With approval
- Draft queued for a person
- Recommended
If No
- Agent drafts only
09
Governance Policy Builder
Action → Permission → Conditions → Approval → Logging.
10
Future Cyber Defense (defensive only)
Layers watched together: identity, data, agents, applications, infrastructure, threat monitoring and AI security.
Identity
SSO, MFA, least privilege
Data
Classification, encryption
Agents
Scoped tools and permissions
Applications
Secure SDLC, testing
Infrastructure
Hardening, patching
Threat monitoring
Alerts and response
AI security
Prompt and output defenses
11
Agent Security Firewall & Synthetic Threat Simulation
Send a sample input through the layers and see it detected, blocked or escalated. Defensive simulation only.
12
AI Manipulation Defense
What the protections are designed against.
| Threat | Example | Defense |
|---|---|---|
| Prompt injection | “Ignore previous instructions…” in a document | Treat content as data; instruction isolation |
| Malicious content | Hidden text in a web page | Content scanning, provenance |
| Tool abuse | Agent asked to mass-email | Rate limits, approvals |
| Data exfiltration | Paste salaries into a reply | Output validation, data scopes |
| Privilege escalation | “You are now admin” | Permissions checked outside the model |
More of the Prakura Intelligence Universe
- World Model
- Adaptive Interface
- Spatial AI Workspace
- Future Learning
- Future Engineering
- Career Intelligence
- Workforce Intelligence
- Multimodal Intelligence
- Industry Digital Twins
- Physical AI
- Future AI Platform
- Collaboration Space
- 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.