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Contributors
- IBM
- The Corporation of the City of Calgary
- Wawanesa Insurance
- Kershaw Health
- Grand River Hospital
- The Corporation of the City of London
- University of Texas, Austin
- Allegis Group
- Enterprises begin integrating their applications without recognizing the need for a managed and documented governance model.
- Application Integration (AI) is an inherently complex concept, involving the communication among multiple applications, groups, and even organizations; thus developing a governance model can be overwhelming.
- The options for AI Governance are numerous and will vary depending on the size, type, and maturity of the organization, adding yet another layer of complexity.
Our Advice
Critical Insight
- Governance is essential with integrated applications. If you are planning to integrate your applications, you should already be considering a governance model.
- Proper governance requires oversight into chains of responsibility, policy, control mechanisms, measurement, and communication.
- People and process are key. Technology options to aid in governance of integrated apps exist, but will not greatly contribute to the success of AI.
Impact and Result
- Assess your capabilities and determine which area of governance requires the most attention to achieve success in AI.
- Form an Integration Center of Competency to oversee AI governance to ensure compliance and increase success.
- Conduct ongoing training with your personnel to ensure up-to-date skills and end user understanding.
- Frequently revisit your AI governance strategy to ensure alignment with business goals.
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