AI Ecosystems Readiness Assessment™ V2

How Connected Is Your Organization?

A 5-Minute Global Benchmark on Human-AI Collaboration

Welcome to the AI Ecosystems Readiness Assessment^TM
—an international research initiative uniting scholars and
industry leaders to define the future of human-AI collaboration.
Your responses will inform the global benchmark for
connected communication and organizational readiness.
Contribute to the Future of Research.

Please tell us a little bit about You.

Years in Industry*

How long have you been in your current role?*

*Required field. All answers are confidential.

page 1 of 31

When a customer or partner asks a routine question, what typically happens first?

Someone receives the message and responds manually
Someone checks a system and replies with the information
A system provides the information, but someone reviews or confirms it
A system delivers the information automatically and triggers next steps without human involvement

page 2 of 31

How are incoming communication requests routed today?

Systems route requests, with people stepping in when exceptions occur
People decide where messages go based on judgment or availability
Rules or inboxes route messages, but require monitoring
Systems route, prioritize, and resolve requests without human triage

page 3 of 31

When information changes, how is that communicated?

Systems notify stakeholders, with occasional follow-up needed
People manually notify others after the change
Systems propagate updates automatically and adjust downstream actions
Notifications are sent, but often require clarification

page 4 of 31

How often does a process only move forward after someone reads a message and responds or takes action?

Some interactions complete automatically, but many require review
Most interactions complete digitally, with human oversight
Interactions complete end-to-end without requiring someone to check
Most interactions require someone to check and respond

page 5 of 31

When communication volume spikes, what happens?

Response times slow and errors increase
Backlogs form and additional people are pulled in
Systems absorb volume increases with minimal human impact
Systems handle most volume, but bottlenecks still appear

page 6 of 31

How integrated are communication tools with operational systems?

Tools are largely separate and manually coordinated
Communication is embedded directly into workflows and decision logic
Most systems are connected and share context
Some systems share data, but gaps require manual effort

page 7 of 31

When a communication fails or stalls, how is it detected?

Systems detect issues and notify responsible teams
Dashboards or alerts show issues after delays
Someone notices and escalates the issue
Systems detect, correct, and reroute communication automatically

page 8 of 31

How much communication data is lost or inaccessible today?

Some data is captured, but gaps are common
Significant information is lost in inboxes or conversations
Communication data is fully captured and continuously available
Most communication data is captured and accessible

page 9 of 31

How often is communication data used to improve processes?

Continuously, driving automatic improvements
Rarely or never
Regularly, through reviews and analysis
Occasionally, after issues arise

page 10 of 31

How well can you trace decisions back to communication history?

Automatically traceable end-to-end
Generally possible through systems
Possible, but requires manual reconstruction
It is difficult or impossible

page 11 of 31

How quickly can communication issues be identified using data?

Only after problems escalate
Proactively before impact occurs
After delays through reports
Near real-time through dashboards

page 12 of 31

How consistent is communication data across teams?

Some consistency, but many discrepancies
Fully consistent and governed centrally
Mostly consistent across systems
Highly inconsistent and siloed

page 13 of 31

How is feedback from communication captured?

Manually through surveys or follow-ups
Informally or not at all
Automatically through sentiment and behavior analysis
Digitally through structured tools

page 14 of 31

How trustworthy is communication data for decision-making?

Sometimes trusted with validation
Trusted as a primary decision input
Generally trusted
Rarely trusted

page 15 of 31

How does leadership view communication today?

As a competitive advantage
As an efficiency opportunity
As a strategic capability
As a necessary overhead

page 16 of 31

How aligned is communication strategy with business outcomes?

Directly embedded into outcomes
Not aligned
Clearly aligned
Loosely aligned

page 17 of 31

How are communication initiatives prioritized?

Planned and coordinated
Continuously optimized
Based on local needs
Ad hoc and reactive

page 18 of 31

How scalable is your communication model?

It strains under growth
It breaks as volume increases
It scales without additional effort
It scales with some friction

page 19 of 31

How clearly is ownership of communication defined?

Defined centrally
Defined by department
Shared with clear accountability
Not defined

page 20 of 31

How often does communication strategy get revisited?

Occasionally
Rarely
Regularly
Continuously based on performance

page 21 of 31

How well does communication enable innovation?

It slows innovation
It sometimes supports innovation
It often enables innovation
It actively accelerates innovation

page 22 of 31

How standardized are communication practices across the organization?

Some informal standards
Fully standardized and enforced digitally
Not standardized
Mostly standardized

page 23 of 31

How are communication expectations communicated to employees?

Not clearly defined
Defined in policies
Defined informally
Embedded into tools and workflows

page 24 of 31

How consistently are communication policies followed?

Inconsistently
Consistently enforced automatically
Varies by team
Mostly consistent

page 25 of 31

How are exceptions to communication rules handled?

Escalated when noticed
Handled automatically with guardrails
Handled through defined processes
Handled manually each time

page 26 of 31

How is compliance monitored?

Monitored continuously and automatically
Monitored manually
Monitored through reports
Not monitored

page 27 of 31

How are employees trained on communication practices?

One-time or ad hoc training
Regular training
Continuous, role-based training
No formal training

page 28 of 31

How quickly can communication policies adapt to change?

Dynamically as conditions change
With planned updates
After significant effort
Slowly

page 29 of 31

The AI Ecosystems Readiness Flow^TM Distribution of Your Responses

Readying

Leaders

Laggards

UncommittedAT RISKCommitted

Uncommitted

Committed

Learning

Driving

Reacting

Improving

page 30 of 31

Your Autonomous Communications
Benchmark Score^TM is:

043

038

Your Results Matter.
Let’s keep the conversation going.

page 31 of 31

Your Benchmark Results Are In

Thank you for completing the AI Ecosystems Readiness Assessment™. Your responses have been recorded and now contribute to the global benchmark on human–AI collaboration, a dataset used by executives and researchers to shape the future of organizational performance!

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