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The system of intelligence for AI assurance

See what changed.
Trace what it affected.
Prove what still holds.

Five pillars. One continuous system. See exactly how it works live below.

See how assurance works ↓
Your assurance state
34/100
Strategy alignment
42
People & literacy
28
Data foundations
31
Operating Model
22
Governance & ethics
30
Technology & MLOps
25
Lifecycle mgmt
20
64
India avg
68
Top sector
Top 10%
Threshold
87
Leader min
Developing· Sample organization
No initiative goes untracked
01 · Know

Initiative tracking

See what's blocking progress, and why, in one place
Every blocked node flagged automatically
Dependencies waiting on a step are visible before they cause delay
Assurance55
Evidence coverage58%
Last verified9d ago
Verification ratio20%
+ Add Task
Milestones timeline · 0 of 2 complete
1. Drafting and Filing Comments0/5 tasks
In progress
2. Follow-up and Engagement0/0 tasks
Upcoming
Next actions
Define materiality floor for 'model' classification
Sign-off
Required
Blockers
Clear
Risks
1 tracked
Evidence
No gates
Linked risksManage →
Vendor lock-in on core LLM providerHigh
What if you did this 1 thing?
23→43+20 readiness
Live evidence locker
📄
klaritiq-carousel-slide-01.jpg
JPEG · 4 Aug 2026
Click the image to watch the full demo
Audit-ready by default
02 · Decide

Decision logging

Every call traceable to the person, and the evidence, behind it
Nothing to reconstruct from email threads before an audit
One immutable log, no disputes about who approved what
Resolve risk: No fresh AI-purpose consent obtained for repurposed personal data →
riskExtraction: AI Data Governance & Responsible-Use Policy (30 July 2026) · Medium trust
Risk: No fresh AI-purpose consent obtained for repurposed personal data → Marked resolved
Ananya Mehta
Ananya Mehta
Chief Risk & Compliance...
Accepted4 Aug 2026  Void
Sign-off: RBI Model Risk Management Guidance Response →
initiative🔒 KlaritiQ Comments on Model Risk Management (July 2026) · High trust
Rohan Malhotra
Rohan Malhotra
Chief Technology Offi...
Signed Off4 Aug 2026  Void
Pursue initiative: RBI Model Risk Management Guidance Response →
initiativeKlaritiQ Comments on Model Risk Management (July 2026) · High trust
Created from confirmed document: KlaritiQ Comments on Model Risk Management (July 2026)
Ananya Mehta
Ananya Mehta
Chief Risk & Compliance...
Accepted4 Aug 2026  Void
Click the image to watch the full demo
AI proposes, a human decides
03 · Execute

AI Command Center

AI flags the gaps that need a decision
Every fix proposed, never auto-executed
A human approves before anything runs
How human-in-the-loop actions work →
How can I help, Rohan?
Answers come only from KlaritiQ's own verified data.
What are my top risks today?
Why did my assurance score change?
What evidence is expiring soon?
⚠Needs attention · 1
"vendor SLA breach," has no owner assigned.
Assign owner
Ask about your AI assurance program…➤
I've prepared an assignment: "vendor SLA breach," to Ananya Mehta. Review and confirm below.
Current: UnassignedProposed: Ananya Mehta
Confirm assignment
✓Assignment completed
vendor SLA breach,
Unassigned → Ananya Mehta
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Built to survive an audit
04 · Govern

Evidence ingestion

Every submission locked as a verified snapshot
Document-verified evidence, not self-reported claims
Two-person approval required before anything is deleted
Why AI never becomes evidence →
⬆ Upload document
Extraction ready for review
AI Data Governance Policy 2026-07-30
⬆ Export Audit Defense Report
KlaritiQ's AI Data Governance & Responsible-Use Policy, effective 30 July 2026, governs data collection, processing, and safeguards for AI systems in manufacturing operations.
Key facts
Policy effective date is 30 July 2026, owned by Head of Operations / IT, with annual review cycle.
Reading document…
Extracting key facts…
Matching Initiatives
Synthesis Preview 👁
DiscardApprove — apply to system
KlaritiQ's AI Data Governance & Responsible-Use Policy, effective 30 July 2026, governs data collection, processing, and safeguards for AI systems without fresh consent.
Key facts
Policy effective date is 30 July 2026, owned by Head of Operations / IT, with annual review cycle.
Audit Defense Report
234 KB
File type
PDF ▾
CancelDownload
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Provable improvement, not vibes
05 · Improve

Continuous assurance

Reassessed every quarter, not left stale
No self-reported scores counted as progress
See whether you're actually improving, or just busier
Readiness progression
58+9 vs last qtr
7550250
4 Jul14 Jul26 Jul4 Aug
What's changedsince last review
Governance & Responsible AI+19
Talent & Skills+19
Data Foundations+6
Technology & Infrastructure+4
Lifecycle & Monitoring+2
Strategy & Use-Case Readiness-5
Operating Model & Culture-31
Relative improvement
+5%
Projected next
23
ARI improvement
+1
Biggest win Governance & Responsible AI improved the most +31 pts
Top remaining risk Operating Model & Culture remains your biggest gap 0/100
Assessment timelineContinuous reassessment keeps your organization on the path to AI readiness
Assess4 Aug
Prioritize32 planned
Execute6 in progress
Measure29 check-ins
Improve30 completed
ReassessDue 3 Nov
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No audit drama

"Stop reconstructing 6-month-old email threads for auditors. Let KlaritiQ keep the score in real-time."

100%
Audit readiness, zero guesswork
3x
Faster sign-offs with human-in-the-loop AI
0
Last-minute panic sessions before board meetings
Read the full walkthrough of all five pillars →