AI Consulting Services
This AI initiative allows us to partner closely with our organization’s different teams to understand their operational challenges and aspirations. By thoughtfully combining workflow analysis with a wish list of AI-driven insights, we can surface opportunities to modernize processes, reduce complexity, and build a more scalable, data-informed organization. We’re excited about this new approach, as it will amplify our team’s ability to advance our mission in meaningful ways.
AI Foundations Service
Research shows that 95% of organizations have seen no measurable return on their AI investment. Only 16% of employees strongly agree that AI tools provided by their company are useful, and 80% of AI users are using their own personal tools in the workplace..
Put simply: most corporate AI implementations have not been particularly successful so far. We intend to disrupt these odds.
Our 6-month consulting engagement, AI Foundations, was designed to get your team using the right tools in the right ways, all while building buy-in and consensus.
1 - Prepare
We’ll start by evaluating your goals and readiness. Through interviews and technical discovery we’ll clarify your AI strategy, compelling use cases, existing toolset, data hygiene, and risk tolerance.
2 - Experiment
Next we’ll train a cross-functional taskforce on policy, goals, and how to experiment effectively. A pilot will begin where they’ll explore, pressure-test, and document their work with the guidance of our CIO Consultants.
3 - Implement
Then we’ll begin a controlled, methodical roll-out to your entire team. We’ll enable AI components in your existing software, deploy custom applets, and provide resources to guide secure, effective, proper use.
I am only just beginning to use [AI], but I am constantly finding new use cases that save me time and provide additional dimensions of data. Our CIO has been a great resource for brainstorming use cases based on solving known issues within the association and expediting tasks.
Phase 1 Outcomes
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Inventory of Native AI Apps
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Data Hygiene & Access Audit
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AI Readiness Score
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Acceptable AI Use Policy
Phase 2 Outcomes
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Trained Internal AI Champions
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CIO-Guided Pilot Program
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Knowledge-Share Cadence & Forums
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Documented AI Use Cases
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Tailored GenAI Prompt Repository
Phase 3 Outcomes
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AI-Enabled Workforce
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Native AI Apps Enabled & In Use
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Custom AI Apps Launched
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Development Roadmap Created
Leaders Who Would Not Hire Someone Without AI Skills
Professionals Who Say Learning AI Feels Like Another Job
Executives Satisfied with Their Current AI Solution
Execs Not Investing In AI Tools or Products for Their Team
Combatting Shadow AI
When 80% of employees across all generations are bringing their own AI tools into the workplace, “shadow AI” becomes a real threat to data privacy.
Shadow AI refers to unauthorized and unmanaged AI tools that are interacting with your organization’s data or technology systems. IBM’s Cost of a Data Breach Report found that 1 in 5 data breaches involved shadow AI over the past year.
Mitigating this risk requires a clear use policy and an objective needs analysis. Both of these steps are built into the first phase of our AI Foundations service.
Feeling pressure to adopt AI? Trying to clean up the aftermath of a stunted implementation? We can take the reins.