AMEC AI Day 2026
AI-Readiness Audit

Understand the data foundation behind your AI ambitions. See where your infrastructure is established and where to focus next.

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AI readiness begins with how your organization collects, manages, connects, and governs its data. Assess your current practices across six lifecycle stages.

YOUR READINESS, STAGE BY STAGE

How strong is your data foundation?

Answer 30 questions to identify gaps in your communications data infrastructure. Your results will highlight risks and practical next steps for each stage.

30 Questions

6 Lifecycle Structure

3 Answer Options

Answer based on your current practices, supported by what you can verify.

What you’ll take away

A clear view of your readiness

See where each lifecycle stage stands based on your responses.

Gaps that need attention

Identify practices that could limit data reliability, reuse, and AI applications.

A starting point for action

Get stage-specific next steps to guide a closer review with your team.

Source Optimization

1 Does your communications team have established standards for managing its data sources and platforms?

2 Does your communications team have established standards for managing its data sources and platforms?

3 How consistently are naming and tracking standards followed by your teams and partners?

4 Does your communications team have established standards for what data is collected across its platforms?

Ingestion / Bronze

5 How much access does your organization have to the underlying data behind its communications reports?

6 How reliably can your organization export and retain detailed communications data?

7 How well can you access historical communications data after a vendor contract or platform relationship ends?

8 Does your organization have established standards for how, when, and how much data is collected from its communications platforms?

9 How reliably are interruptions or changes in data collection identified and resolved?

Transformation / Silver

10 How well does your organization preserve the meaning of historical metrics when reporting methods change?

11 How consistently are changes to reporting categories and definitions documented?

12 How clearly are the meaning and limitations of key communications metrics defined?

13 How consistently do your reports account for differences between similar metrics across platforms?

14 How reliably can your team combine data from different sources without double counting or misleading totals?

Serving / Gold

15 How easily can your team trace reported results to their original data and verify calculations?

16 How easily could another team member recreate an important report from a previous period?

17 How consistently can different reports use the same definitions and calculations?

18 Does your organization maintain a consistent set of approved data and metrics that can be used across different systems?

Usability

19 Can your organization use a centralized source of communications data to support multiple teams, reporting platforms, and applications?

20 Can your communications data be shared automatically between business systems without requiring manual exports or uploads?

21 Can your organization use its communications data to support AI applications and advanced analytics without rebuilding its data infrastructure?

22 Can your organization introduce new data sources, technologies, and applications without significantly rebuilding its existing data infrastructure?

Governance & AI Readiness

23 How clearly are responsibilities defined for approving access to communications data and changes to reporting rules?

24 How consistently are access permissions and sensitive information handled across communications data sources?

25 How easily can your organization identify and investigate inaccurate, missing, or questionable communications data?

26 How consistently do external agencies and vendors follow your organization's data access and reporting standards?

27 How confidently could your organization control which communications data an AI tool is allowed to use?

28 How well are your organization's communications terms, categories, and reporting definitions documented for use by AI tools?

29 How consistently are people involved in reviewing AI-supported findings that could affect sensitive communications decisions?

30 How easily could your organization explain which information and rules an AI-generated finding was based on?

YOUR LIFECYCLE READINESS

Overall Readiness:

100%

Source Optimization

Awaiting score

100%

Awaiting category score

Opportunity / Next step

Awaiting category score

Ingestion / Bronze

Awaiting score

100%

Awaiting category score

Opportunity / Next step

Awaiting category score

Transformation / Silver

Awaiting score

100%

Awaiting category score

Opportunity / Next step

Awaiting category score

Serving / Gold

Awaiting score

100%

Awaiting category score

Opportunity / Next step

Awaiting category score

Usability

Awaiting score

100%

Awaiting category score

Opportunity / Next step

Awaiting category score

Governance & AI Readiness

Awaiting score

100%

Awaiting category score

Opportunity / Next step

Awaiting category score

Discuss Your Results

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Restore enterprise ownership of communications data. STRCTR unifies intelligence, governs data, and preserves institutional insight.

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Restore enterprise ownership of communications data. STRCTR unifies intelligence, governs data, and preserves institutional insight.

Company

Home

About Us

Resources

Blogs

Case Study

Social Media

Restore enterprise ownership of communications data. STRCTR unifies intelligence, governs data, and preserves institutional insight.

Company

Home

About Us

Resources

Blogs

Case Study

Social Media

Restore enterprise ownership of communications data. STRCTR unifies intelligence, governs data, and preserves institutional insight.

Company

Home

About Us

Resources

Blogs

Case Study

AMEC AI Day 2026AI-Readiness Audit

About Us

Blogs

Case Study

AMEC Toolkit

About Us

Blogs

Case Study

AMEC Toolkit

About Us

Blogs

Case Study

AMEC Toolkit

YOUR READINESS, STAGE BY STAGE

How strong is your data foundation?

What you’ll take away

Source Optimization

1

1

Does your communications team have established standards for managing its data sources and platforms?

2

2

Does your communications team have established standards for managing its data sources and platforms?

3

3

How consistently are naming and tracking standards followed by your teams and partners?

4

4

Does your communications team have established standards for what data is collected across its platforms?

Ingestion / Bronze

5

5

How much access does your organization have to the underlying data behind its communications reports?

6

6

How reliably can your organization export and retain detailed communications data?

7

7

How well can you access historical communications data after a vendor contract or platform relationship ends?

8

8

Does your organization have established standards for how, when, and how much data is collected from its communications platforms?

9

9

How reliably are interruptions or changes in data collection identified and resolved?

Transformation / Silver

10

10

How well does your organization preserve the meaning of historical metrics when reporting methods change?

11

11

How consistently are changes to reporting categories and definitions documented?

12

12

How clearly are the meaning and limitations of key communications metrics defined?

13

13

How consistently do your reports account for differences between similar metrics across platforms?

14

14

How reliably can your team combine data from different sources without double counting or misleading totals?

Serving / Gold

15

15

How easily can your team trace reported results to their original data and verify calculations?

16

16

How easily could another team member recreate an important report from a previous period?

17

17

How consistently can different reports use the same definitions and calculations?

18

18

Does your organization maintain a consistent set of approved data and metrics that can be used across different systems?

Usability

19

19

Can your organization use a centralized source of communications data to support multiple teams, reporting platforms, and applications?

20

20

AMEC AI Day 2026
AI-Readiness Audit