enterprise generative AI strategy: An enterprise generative AI strategy is a business-led plan that defines where generative AI will create value, which uses are acceptable, what technology and data are required, and how people, risk and results will be managed.
Contents
- Direct answer
- Answer six executive questions
- Use a portfolio, not one promise
- Invest in reusable capability
- Set boundaries in plain language
- Keep the strategy adaptable
- Checklist
- CEO perspective
- FAQs
- References
enterprise generative AI strategy: the direct answer
An enterprise generative AI strategy is a business-led plan that defines where generative AI will create value, which uses are acceptable, what technology and data are required, and how people, risk and results will be managed.
Answer six executive questions
Which outcomes matter? Which workflows are suitable? What information may be used? Which platforms are approved? Who owns decisions and risk? What evidence permits more investment? Without these choices, teams buy overlapping tools and compete for the same data and specialists.
Record the intended use, baseline, owner, permitted information, evaluation method, main risks and next review date. This short decision record prevents assumptions from disappearing when a demonstration becomes a live workflow.
Use a portfolio, not one promise
Separate productivity, knowledge access, customer-facing applications and higher-impact decision support. Their economics and controls differ. Prioritize a limited set with named owners, baselines, investment limits and decision dates.
Invest in reusable capability
Secure access, trusted-content retrieval, evaluation, logging, vendor management, training and incident response can support many cases. Funding these shared capabilities reduces duplicate cost and makes later delivery more consistent.
Test the difficult cases, not only the average one. Include unclear instructions, incomplete information, unusual users and periods of high demand. Leaders need to know how the service fails and how people recover before broad release.
Set boundaries in plain language
Define prohibited, restricted and generally permitted uses. Explain when personal, confidential or client information may be used, what review is required and which cases need specialist approval. Policies should help people decide during work.
Keep the strategy adaptable
Model performance, prices, contracts and employee use can change quickly. NIST’s Generative AI Profile supports lifecycle risk management, while Canadian privacy regulators emphasize accountability, appropriate purposes, safeguards and transparency. Review the portfolio and risk appetite on a set rhythm.
Before the next investment, compare evidence from real work with the original claim. Review value, adoption, full cost, output quality, human checking, employee experience and incidents. A strong result in one area does not cancel a serious weakness elsewhere.
Operational ownership matters after launch. Name the person who can pause the service, approve a material change, respond to an incident and decide whether continuing cost remains justified. Document model or vendor changes, because yesterday’s evaluation may no longer describe today’s service.
Executive checklist
- Name priority business outcomes.
- Define acceptable and restricted uses.
- Select approved platforms.
- Fund reusable capabilities.
- Assign decisions and risk ownership.
- Set evidence gates and review dates.
A perspective from Praevion Consulting Inc.
“An enterprise generative AI strategy is a set of choices about value, boundaries and capability. If it does not help leaders decide what to fund, what to govern and what not to pursue, it is only a statement of interest.”
Mehrzad Verdizadegan,
CEO, Praevion Consulting Inc.
Related guidance
Frequently asked questions
Who should own the strategy?
An executive business sponsor should lead it with technology, data, risk, finance and workforce leaders.
How often should it be reviewed?
Review at least quarterly during rapid change and whenever a major vendor, model, legal or risk event occurs.
Is a tool list a strategy?
No. A strategy connects business value, portfolio choices, capability, workforce change and governance.
Executive takeaway
Translate this issue into a named business outcome, accountable owner, evidence threshold and review cycle. Advance to scale only when value, adoption, operational readiness and risk evidence support the next investment decision.
To discuss your needs, contact Praevion Consulting Inc..
