AI Marketing Operating System
How mature is your AI MOS ?
Two separate assessments — one for your organisation, one for your personal capabilities. Get a scored maturity profile, prioritised roadmap, and enablement plan linked to AI MOS modules.
Organisation assessment
Evaluate your company's AI
MOS
infrastructure, processes, data systems, and marketing operations maturity across 5 pillars.
5 pillars
20 questions
~10 min
Personal assessment
Evaluate your individual AI skills, marketing capabilities, strategic thinking, and readiness to lead AI-driven marketing.
5 domains
20 questions
~10 min
Stage 3 — Developing
Organisation AI
MOS
score
3.0
/ 5.0
Developing
Core elements exist and are beginning to work together. Focus on closing gaps, improving data quality, and scaling automation.
Strategic kernel
3.5
Positioning & messaging
2
ICP & segmentation
3
Strategic priorities
4
Journey mapping
5
Intelligence & data
3.5
Unified data infrastructure
5
AI-ready data quality
5
Competitive intelligence
3
VoC integration
1
Content & campaign engine
1.8
AI content production
2
Campaign planning
3
Personalisation at scale
1
Distribution coverage
1
Operations & automation
2.5
Roles & ownership
2
Tool stack integration
3
Workflow automation
2
AI agent deployment
3
Performance & optimisation
3.5
KPI framework
3
Real-time reporting
4
Attribution model
3
Test & learn system
4
Ready to score?
See your full maturity profile
Take the assessment at app.aimos.global to get your scored results and roadmap.
Start now →
Roadmap
Recommended projects
Enablement plan
12-month AI
MOS
roadmap
Based on your scores, your highest-priority areas are: Content & Campaign Engine, Operations & Automation, Strategic Kernel. Work through the three phases below.
Phase 1
Foundation
Months 1–3
→
Conduct AI
MOS
assessment and score all pillars
→
Define or validate ICP, positioning, and strategic priorities
→
Audit data infrastructure and tool stack
→
Document workflows and assign AI agent ownership
→
Install KPI framework and single dashboard
→
Establish weekly/monthly operating cadence
Phase 2
Build & connect
Months 4–6
→
Deploy first 3 AI agents for highest-priority tasks
→
Connect top 3 tool integrations
→
Launch AI-assisted content production system
→
Implement personalisation in email and web
→
Build competitive intelligence workflow
→
Implement attribution model
Phase 3
Scale & optimise
Months 7–12
→
Expand AI agent deployment across all pillars
→
Build real-time optimisation workflows
→
Deploy predictive audience and demand models
→
Establish campaign learning loop system
→
Re-assess AI
MOS
maturity and recalibrate roadmap
→
Begin mentoring others / exporting the model
