AI Ecosystems Readiness Assessment™

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.

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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 delivers the information automatically and triggers next steps without human involvement
A system provides the information, but someone reviews or confirms it

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
Systems route, prioritize, and resolve requests without human triage
Rules or inboxes route messages, but require monitoring

page 3 of 31

When information changes, how is that communicated?

People manually notify others after the change
Systems notify stakeholders, with occasional follow-up needed
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?

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

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

page 7 of 31

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

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

page 8 of 31

How much communication data is lost or inaccessible today?

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

page 9 of 31

How often is communication data used to improve processes?

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

page 10 of 31

How well can you trace decisions back to communication history?

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

page 11 of 31

How quickly can communication issues be identified using data?

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

page 12 of 31

How consistent is communication data across teams?

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

page 13 of 31

How is feedback from communication captured?

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

page 14 of 31

How trustworthy is communication data for decision-making?

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

page 15 of 31

How does leadership view communication today?

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

page 16 of 31

How aligned is communication strategy with business outcomes?

Directly embedded into outcomes
Clearly aligned
Loosely aligned
Not aligned

page 17 of 31

How are communication initiatives prioritized?

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

page 18 of 31

How scalable is your communication model?

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

page 19 of 31

How clearly is ownership of communication defined?

Not defined
Shared with clear accountability
Defined by department
Defined centrally

page 20 of 31

How often does communication strategy get revisited?

Occasionally
Continuously based on performance
Regularly
Rarely

page 21 of 31

How well does communication enable innovation?

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

page 22 of 31

How standardized are communication practices across the organization?

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

page 23 of 31

How are communication expectations communicated to employees?

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

page 24 of 31

How consistently are communication policies followed?

Mostly consistent
Inconsistently
Consistently enforced automatically
Varies by team

page 25 of 31

How are exceptions to communication rules handled?

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

page 26 of 31

How is compliance monitored?

Monitored through reports
Monitored manually
Monitored continuously and automatically
Not monitored

page 27 of 31

How are employees trained on communication practices?

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

page 28 of 31

How quickly can communication policies adapt to change?

Slowly
After significant effort
With planned updates
Dynamically as conditions change

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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