Assess Your AI Maturity

How mature is your organization’s AI governance? Are you leading your industry or scrambling to catch up? Take a free 5-minute assessment to understand your readiness across 6 dimensions, benchmark against peers, and get a personalized implementation roadmap.

Overview

The AI Advisor assessment measures your readiness across:

Strategy: Do you have an AI strategy aligned with business goals?
Data: Do you have quality data infrastructure for AI?
Technology: Do you have the right AI tools and platforms?
Talent: Do you have AI-skilled people and roles?
Governance: Do you have policies and controls for AI?
Ethics: Do you have ethical AI practices and values?

Your organization gets a Maturity Score (0-100) in each dimension, plus an Overall Readiness Score and comparison to your industry peers.

Prerequisites

No prerequisites — the assessment is free, takes 5 minutes, requires no credit card.

Step 1: Start the Assessment

Go to app.truthvouch.ai/assessment
- Or from any TruthVouch dashboard, click Advisor → New Assessment
You’ll see 25 questions across 6 dimensions (roughly 4 questions per dimension)
Click Start Assessment

Step 2: Answer the Questions

You’ll be asked 25 questions like:

Strategy Dimension

“Do you have a documented AI strategy?”
“Is AI strategy aligned with business goals?”
“Do you communicate AI plans to your board?”
“Do you measure ROI on AI investments?”

Data Dimension

“Do you have a centralized data warehouse?”
“Do you track data quality metrics?”
“Can you quickly find and access historical data?”
“Do you have a data governance policy?”

Technology Dimension

“Do you use modern AI platforms (cloud ML, LLM APIs)?”
“Can you quickly deploy AI models to production?”
“Do you monitor AI model performance?”
“Do you have testing infrastructure for AI systems?”

Talent Dimension

“Do you have dedicated AI/ML roles?”
“Are your AI teams trained on best practices?”
“Can you attract and retain AI talent?”
“Do engineers have access to AI training?”

Governance Dimension

“Do you have an AI governance policy?”
“Do you monitor AI for regulatory compliance?”
“Do you have an approval process for new AI systems?”
“Do you have incident response for AI failures?”

Ethics Dimension

“Do you assess AI models for bias?”
“Can you explain AI decisions to users?”
“Do you have ethical guidelines for AI?”
“Do you communicate openly about AI risks?”

Answering tips:

Be honest — this is for your benefit, not a test
“Partial” answers are options (not just Yes/No)
Think organizationally, not team-level (unless your team is your whole org)
Consider what’s actually implemented, not what’s planned

Estimated time: 5 minutes

Step 3: Review Your Results

After submitting, you’ll instantly see:

Overall Readiness Score

Your score: 0-100 (example: 62/100)
Industry benchmark: How you compare to peers (example: “62nd percentile for SaaS”)
Peer comparison: Similar companies’ average (example: “Avg for mid-market SaaS: 58/100”)
Readiness level: Nascent (0-20), Emerging (21-40), Developing (41-60), Mature (61-80), Leading (81-100)

Dimensional Breakdown

For each dimension, you’ll see:

Your score (0-100)
Industry percentile
Strengths (questions you scored high on)
Gaps (questions you scored low on)

Example results:

Strategy: 75/100 (78th percentile)
  Strengths: AI strategy documented and aligned
  Gaps: Need better ROI measurement and board reporting

Data: 52/100 (45th percentile)
  Strengths: You have data access
  Gaps: Data quality metrics missing, governance policy weak

Technology: 68/100 (62nd percentile)
  Strengths: Cloud ML platforms in use, CI/CD pipeline exists
  Gaps: Model monitoring needs improvement

Talent: 45/100 (30th percentile)
  Strengths: Engineers have some AI training access
  Gaps: No dedicated ML roles, high turnover

Governance: 38/100 (25th percentile)
  Strengths: You're thinking about governance
  Gaps: No formal policy, no incident response process

Ethics: 55/100 (48th percentile)
  Strengths: You care about ethics
  Gaps: No bias testing, limited explainability

Actionable Recommendations

TruthVouch provides 3 levels of recommendations:

Quick Wins (implement in 1-2 weeks, high impact)

“Create one-page AI governance policy” (+8 points, 4 hours)
“Set up monthly AI review meetings with leadership” (+6 points, ongoing)
“Document your current AI systems inventory” (+5 points, 8 hours)

Medium-Term (implement in 1-3 months)

“Hire or contract ML engineering role” (+15 points)
“Implement model monitoring dashboard” (+10 points, 2 weeks)
“Create bias testing process for new models” (+8 points, 3 weeks)

Long-Term (implement in 3-12 months)

“Build centralized data warehouse” (+20 points)
“Establish Centers of Excellence for AI” (+15 points)
“Implement organization-wide ethics review” (+12 points)

Step 4: Get Your Implementation Blueprint

Click Generate Blueprint to create a personalized roadmap.

The blueprint includes:

Baseline: Your current state across all 6 dimensions
Target: Where you should be in 12 months (based on peers and best practices)
Roadmap: Prioritized projects to close gaps, organized by quarter
Resource estimates: Time, cost, team size needed for each project
Success metrics: How you’ll know you’ve improved

Example blueprint excerpt:

AI Maturity Roadmap: 12-Month Plan

Q1 2026 (Months 1-3):
  1. Create AI governance policy (+6 points)
     - Owner: CTO
     - Time: 20 hours
     - Cost: $0 (internal)
     - Success metric: Policy approved by leadership

  2. Document AI system inventory (+5 points)
     - Owner: Engineering Lead
     - Time: 40 hours
     - Cost: $2k (TruthVouch Compliance AI)
     - Success metric: 30+ systems documented

  3. Implement model monitoring (+8 points)
     - Owner: ML Engineer
     - Time: 80 hours
     - Cost: $5k (Datadog + custom development)
     - Success metric: All models tracked in dashboard

Q2 2026 (Months 4-6):
  ... [continue for Q2, Q3, Q4]

Expected Outcomes:
  - Current score: 62/100
  - After Q1: 71/100
  - After Q2: 78/100
  - After Q4: 85/100 (Mature level)
  - Industry position: 75th percentile (from 62nd)

Step 5: Download Your Report

Export your assessment as a PDF for sharing with your team or board.

Click Download Report
You’ll get a PDF containing:
- Assessment date and respondent
- Overall Readiness Score
- Dimensional breakdown (charts)
- Strengths and gaps
- Top 10 recommendations
- Implementation roadmap
- Benchmarking data

The PDF is professionally designed for board presentations or investor discussions.

Step 6: Create Implementation Tasks

Link your assessment to your project management system.

From the Blueprint, click Create Jira Tasks or Create Tasks in ServiceNow
TruthVouch creates tickets for each recommendation:
- Title: “Create AI governance policy”
- Description: Full context and success criteria
- Assignee: Suggested owner (CTO, Head of Data, etc.)
- Due date: Based on roadmap
- Effort estimate: Time to complete
- Acceptance criteria: How you’ll know it’s done
Your team can now track progress using tools they already use

Step 7: Track Progress Over Time

Re-take the assessment quarterly to measure improvement.

Go to Advisor → Assessment History
You’ll see all previous assessments and can compare:
- Score progression (is it going up?)
- Which dimensions improved most?
- Which gaps remain?
- Are you on track toward your 12-month goal?

Example progression:

Q1 2026: 62/100 (Developing)
Q2 2026: 68/100 (Developing, trending toward Mature)
Q3 2026: 74/100 (Mature)
Q4 2026: 79/100 (Mature, on track for 85 by year-end)

Assessment Use Cases

Use Case 1: Board Reporting

Take assessment
Generate report
Present to board as part of AI governance update
Show benchmarking: “We’re 75th percentile, our peers are 62nd”
Request budget for key improvement initiatives

Use Case 2: Post-Incident Learning

Major AI incident occurred
Realize governance was weak
Take assessment to identify gaps
Use blueprint to prevent similar issues

Use Case 3: Preparing for Auditors

SOC 2 or ISO 42001 audit coming
Take assessment to find compliance gaps
Use recommendations to close gaps before auditors arrive
Show regulators your governance maturity

Use Case 4: Merger/Acquisition Due Diligence

You’re buying an AI company
Take assessment of target company’s AI maturity
Compare to your own
Identify integration challenges and risks
Plan post-acquisition improvements

Use Case 5: Competitive Benchmark

Compare your AI maturity to industry peers
Use benchmarking data in pitch deck for investors
Show you’re a leader in responsible AI
Attract AI talent with proven governance

Sample Assessment Questions

Strategy

“Our organization has a documented AI strategy”

Response options: Not at all, Somewhat, Yes, Fully implemented

“Our AI strategy is aligned with business goals”

Response options: Not aligned, Partially aligned, Well aligned, Tightly integrated

Governance

“We have an AI governance policy or framework”

Response options: No, Draft stage, Documented, Actively enforced

“We monitor AI systems for regulatory compliance”

Response options: No monitoring, Ad-hoc monitoring, Regular monitoring, Continuous monitoring

Ethics

“We assess AI models for bias and fairness”

Response options: Never, Sometimes, Regularly, Every deployment

Data

“We have data quality metrics and monitoring”

Response options: No, Basic metrics, Comprehensive metrics, Real-time dashboards

Benchmarking Data (Sample)

Industry averages across dimensions:

                 Overall  Strategy  Data  Tech  Talent  Gov  Ethics
SaaS             68       72        62    71    54      65    61
FinServ          64       68        70    68    62      58    62
Healthcare       58       61        55    59    52      63    64
Manufacturing    55       58        48    62    45      51    48
Retail           52       51        45    56    42      47    49

Your organization’s position helps you understand whether your gaps are typical for your industry or if you’re behind peers.

Next Steps

Take the assessment → 5 minutes, instant results
Review recommendations → Identify quick wins and long-term priorities
Create implementation plan → Use the blueprint to build your roadmap
Delegate to teams → Create Jira/ServiceNow tasks for your team
Re-assess quarterly → Measure progress and adjust roadmap

Questions? Reach out to your Success Manager or post in the in-app support chat.

Ready to get started? Go to app.truthvouch.ai/assessment now.