WorldLink Labs · GRC Platform · 2025–2026
GRC Platform Design: Simplifying Complex ComplianceWorkflows
An AI-powered GRC platform that unifies compliance
workflows, risk analysis, and system insights into a scalable,
intuitive enterprise experience.
Role
Lead UX / Product Designer
Company
WorldLink
Duration
6 Months
Platform
Web · Enterprise SaaS
GRC-Enterprise.com
GRC-Enterprise.com
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Here's a 1 min TL;DR Version.
Designed the end-to-end UX for an AI-driven compliance platform, helping compliance officers, risk managers, and security teams navigate complex enterprise workflows with clarity and ease.
Compliance Officers
Risk Managers
Security Architects
Enterprise Orgs
WorldKit Design System
What did I do?
Led end-to-end UX across multiple modules
with a shared WorldKit design system.
Artifacts Generation Engine
Extraction Engine & Extracted Data
Alignment Engine
Gap Analysis
Architecture Scanner
Code Scanner
Artifacts Discovery Engine
Why was it done?
Compliance teams were drowning in
fragmented tools and manual
workflows. They needed one unified
platform with AI automation to cut
review cycles from days to hours.
What did I learn?
Designing for AI-heavy enterprise tools
requires balancing automation
confidence with human oversight.
"Remove what you don't need" is as
important as "add what users want."
The Impact
|
Measurable results within weeks of launch
Manual Effort ↓
74%
74%
Reduction in manual compliance effort
Satisfaction Score
4.7
4.7
★
User satisfaction score post-launch
Feature Adoption
91%
91%
AI feature adoption in first 2 weeks
The problem
What was broken?
Compliance teams were managing fragmented, time-intensive workflows across too many disconnected tools with zero AI assistance and no unified visibility.
Pain 01
Regulatory Fragmentation
Compliance officers managed 5–10+ frameworks manually each with its own spreadsheet, folder, and tracking method. Cross-framework visibility was essentially impossible.
Pain 02
Manual Document Processing
Extracting obligations from regulatory PDFs required analysts to manually tag hundreds of pages. A single document took 2–3 days. There was no automation, no speed.
Pain 03
No Real-Time Gap Visibility
Gaps were only discovered during audits — never
proactively. No live scoring, no early warning, no
executive summary non-technical stakeholders
could act on in 30 seconds.
Pain 04
Zero AI Assistance
Despite large volumes of compliance data, tools lacked AI-driven insights, automation, and natural language querying, forcing teams to rely on institutional knowledge.
THE SOLUTION
How we designed our way out of the chaos.
Rather than patching existing workflows, we reimagined the entire compliance
experience from the ground up — building a unified, AI-native platform where every
module speaks the same design language and shares one source of truth.
Unified Platform
AI-Assisted Extraction
Real-Time Visibility
WorldKit Design System
One platform. Six engines.
Zero compliance blind spots.
We structured the platform around six interconnected modules — each solving a distinct pain point, yet unified under a consistent interaction model and shared design system. The result: compliance teams could move from document upload to actionable insight in minutes, not days.
MODULE 01
Regulatory Extraction Engine
The first bottleneck: analysts spending 2–3 days manually tagging obligations inside dense
regulatory PDFs. We replaced this with an AI-assisted extraction pipeline surfaced through a clean
review interface turning document processing into a structured, auditable workflow.
GRC-Enterprise.com
AI extraction from regulatory PDFs
in under 60seconds
Human-in-the-loop review with
inline accept / reject
Severity auto-classification: Critical → Low
Export as structured obligation
register (CSV /JSON)
Design decision: We deliberately kept the review table minimal — no modal
overload. Analysts can triage 50+ obligations in a single scroll session with
keyboard-accessible actions.
MODULE 02
Alignment Engine
Enterprises rarely comply with just one framework. The Alignment Engine intelligently maps
controls across SOC 2, ISO 27001, NIST CSF, GDPR and others — surfacing overlap and
eliminating redundant compliance work.
GRC-Enterprise.com
Automated cross-framework control mapping
Overlap detection to reduce redundant work
Visual coverage heatmap per framework
Custom framework imports via CSV/JSON
MODULE 03
Artifacts Discovery Engine
Compliance artifacts policies, procedures, evidence packs were previously assembled by
hand over weeks. We designed an AI-generation flow that produces structured draft artifacts from
extracted obligations, mapped to the appropriate framework controls.
GRC-Enterprise.com
One-click generation of policy and procedure
drafts
Auto-linked to relevant framework controls
Approval workflow with role-based permissions
Version history with diff tracking
MODULE 04
Gap Analysis
Gaps were only discovered during audits far too late. We redesigned gap detection as a
continuous, real-time layer surfaced through an executive-readable dashboard. No more surprises
on audit day.
GRC-Enterprise.com
The hardest design challenge here was making severity feel urgent without
triggering alert fatigue. We used color sparingly red only for items within 7-day
risk windows and moved "days remaining" into the primary column.
Real-time gap scoring against active
frameworks
Remediation ownership assignment per gap
Exec-facing summary dashboard (30-second
read)
Auto-escalation when SLA breaches approach
MODULE 05
Architecture Scanner
Security architects needed a way to validate infrastructure against compliance requirements
without generating a 200-page report nobody reads. We designed a scannable, interactive
architecture view that highlights risk directly on the system diagram.
GRC-Enterprise.com
Import architecture via Terraform / draw.io /
manual
Risk overlay directly on architecture diagram
nodes
Auto-link findings to obligations and controls
One-click remediation ticket generation
MODULE 06
Code Scanner
The final frontier: compliance visibility at the code level. The Code Scanner lets security teams
detect misconfigurations, hardcoded secrets, and non-compliant patterns inside the codebase
itself — without requiring developers to leave their workflow.
GRC-Enterprise.com
Deep scan across 10+ languages and
frameworks
Auto-mapped findings to compliance
obligations
CI/CD integration - scan on every PR
Developer-friendly inline fix suggestions
research
4 Methods.Deep Clarity.
Before designing a single screen, I invested in understanding the world compliance professionals live in through observation, conversation, and data.
👁
4
Contextual Inquiries
Sat in on live compliance reviews at 4 enterprise organizations. Mapped
40+ discrete actions per cycle observed every step from pulling regulatory PDFs to emailing findings.
🎙
14
Stakeholder Interviews
45–60 min sessions with
Compliance Officers, Risk
Managers, Security Architects, and Legal teams across financial services and insurance firms.
📊
67
Survey Respondents
28-question structured survey. Measured time on manual parsing, tool count, gap discovery timing, and AI feature interest.
🔬
9
Competitors Analyzed
Evaluated ServiceNow, OneTrust, Vanta, Drata, and 5 others across 24 UX dimensions. No tool
combined AI + real-time executive dashboard + cross-framework mapping.
voices from the field
I need to walk into the board meeting and tell them our compliance posture in one sentence backed by real data, not gut feel.
Jordan D.
Chief Compliance Officer · Regional Bank
I spend 60% of my day extracting data from PDFs. If AI can do that, I can actually focus on analysis and recommendations.
Priya R.
Regulatory Compliance Analyst · Financial Services
Architecture scanning and code compliance should be automated. Manual checks mean we're always behind the threat landscape.
Marcus K.
IT Risk & Security Manager · Insurance Corp
key findings
Tool Fragmentation Overhead
Teams switched between 5–10+ tools per cycle. Context switching was the #1 time thief, averaging 40+ discrete actions per framework review.
3.2 Days Per Framework
Average time to process one regulatory document: 2–3 days. 9 discrete actions across 3 phases all error-prone,
all repetitive.
Gaps Found Only at Audit Time
100% of interviewees reported discovering critical compliance gaps during audits never proactively. The reactive workflow was universally painful.
Appetite for AI Was High
When asked "if AI could do one thing," 89% said automated document extraction. The demand was clear no product had delivered it.
WHAT I LEARNED
Designing for high-stakes enterprise AI.
LEARNING 01
Automation confidence ≠ automation trust
Users were impressed by AI extraction accuracy — but still wanted to manually verify every
item. The insight: trust is built through transparency, not just accuracy. We added
confidence scores and source citations to every AI output, and watch-through rates
increased significantly.
LEARNING 02
"Remove what you don't need" is as important as "add what users want"
Early prototypes had too many features on every screen. Compliance officers don't want
more data — they want the right data, faster. Our biggest UX wins came from ruthlessly
removing UI elements, not adding them. Every screen went through at least two
"subtraction" rounds.
LEARNING 03
Executive dashboards are a product unto themselves
The most-used feature turned out to be the executive summary view — a single screen with
3 KPIs and a risk heat map designed for a 30-second read by a non-technical CISO.
Designing for this audience required a completely different vocabulary, visual grammar, and
information density than designing for analysts.