Why Your organization Needs a 10 Point Artificial Intelligence Checklist for Effective Implementation.
As we roll past the three (3) year anniversary of the public launch of Chat GPT, we offer this ten (10) point annual AI performance and inspection checklist. Inspiration comes from many places, and in this case, a visit to our local automotive dealership for a service appointment provided the sparks.
Many of our 2025 AI predictions have manifested as written (and much faster) than anticipated. To review those in detail check out our AI – Technical Savior or Carnival Snake Oil article series and related podcast interviews on the topic. In that series we trace AI from its origins in the 1950’s through today’s subscription-driven business models and the very real emergence of cognitive debt. This is all happening in real time where human capability is being eroded when and where AI is heavily leveraged without deliberate guardrails in place.
All of this mirrors the historical trends of the past that quietly diminish memory, navigation, independent problem solving, creativity and human connection. These patterns are repeating themselves in the exact same way as the advent of the internet in the late 1990’s and smart phone adoption starting in 2010. We consistently encourage that when done well, AI should be human centered at its core. Amplifying human judgement, research, and critical thinking. Not replacing it.
This landmark MIT Media Lab study provides a strong alignment and support to the hypothesis. Participants that heavily use learning language models (LLMs) show reduced neural connectivity and sadly, lower brain engagement when they offload individual critical thinking to AI based tools.
Some of these AI experience are actually good and do have some benefit. AI research and AI based web search once validated by a human can save you time, for sure. However, as organizations engage with AI, most of those experiences are proving out the “shiny object syndrome” hypothesis we wrote about, resulting in minimal (if any) organizational gains. A recent study by MIT indicates high adoption but low transformation. General purpose LLM’s see a 40% success rate with implementation, while task specific GenAI is only reported as 5% as shown below.
The recent AI subscription pricing increases and now recently announced embedded advertisements to match are really no surprise. Proving out the fact that there is much snake oil to be sold. Which means you, your organization and its data are the product. Layoff’s being attributed to AI are the now the norm too. None of these outcomes shift any of our initial guidance of “keep your critical thinking” in check and be cautious of what sensitive organizational information you share with your subscription based AI tools.
As we move into 2026, we’ve designed a new release of our ten point annual AI checklist. We’ve built the check list to help gage the long term value and performance of your AI initiatives. It is highly likely that AI is making its way through and becoming deeply embedded within your organization’s leaderships teams and workflows. Heavily influencing all the strategy, innovation and supply chain initiatives in your organization at once.
The 10-Point Critical Inspection Checklist is built directly from the core warnings in our blog series: treat AI as an amplifier, demand evidence of value, always validate outputs and actively work to reduce the cognitive debt of your organization with human-centered practices.
Use the AI checklist as a helpful guide and roadmap. As we all continue to navigate what truly is the “Wild West” in Artificial Intelligence that is playing out across the world in real time, you’ll need an anchor point.
The Innovation Garage 10 point AI checklist is intended to be exactly that.
It’s super simple, to get started. Answer the questions below with a simple “Yes” or “No.”
The 10 Point AI Inspection Checklist Setup
Vehicle: Your Organization Name
AI Capability Level (Select One): Novice, Scaling, Mature
Date of Assessment: Month/Date/Year
1. AI strategy and executive buy-in complete?
Yes or No – There is a clearly documented (and understood) AI strategy that exists with three (3) to five (5) specific and measurable business problems identified. Our organization has full C-Suite sponsorship and executive ownership is secured?
Why it matters: Without strategic clarity and executive alignment from the start, even the best tools will disrupt existing internal systems. If the process or system is already broken (or not understood) at the analog level the AI initiative will just over amplify the existing noise in the system.
2. Are evidence based objectives defined and hype resistant?
Yes or No – Our AI objectives are grounded in proven value and real organizational needs?
Why it matters: Much of what’s sold as revolutionary and new is really (and cleverly) rebranded from old software snake oil. Your organization needs discipline, resistance to hype cycles and should demand evidence of increased performance from AI. Without that discipline and this objective measures in place your organization will fall into the trap of over-promising and under-delivering. If AI is hype driven in your organization, the pilot tests will never adopt and scale.
3. Is there a governance framework in place?
Yes or No – Our policies are established for ethics, inherent biases in data, and our organization understands how the AI works and manipulates our data. Policies for security, compliance, responsible use and accountability for AI decisions are all in place and approved?
Why it matters: Strong governance will prevent surprises from the AI black box and will reduce long-term reputational damage and most importantly regulatory, legal and trade secret exposure.
4. Are data quality, privacy and readiness verified?
Yes or No – Our data is clean, accessible and validated as AI ready and protected against exposure?
Why it matters: Simple here, the old maxim applies, “Garbage in = Garbage Out.” Privacy exposure creates hidden long term debt and will undermine your strategy and your position with your end customers.
5. Mandatory processes in place for human judgement and independent validation?
Yes or No – Do all AI outputs require human review, feedback loops and change management to augment and not replace human judgement?
Why it matters: Ignoring the humans sacrifices accuracy, nuance, craftsmanship and ethics. If the AI hallucinates (which it will) the organization should problem solve the hallucinations and understand root cause and establish preventative countermeasures.
6. AI pilot-to-production path and scaling plan mapped?
Yes or No – Our organization has defined metrics for success. We understand our single overarching AI system metric and we understand what lower level metrics will influence our overall AI system performance?
Why it matters: Most AI initiatives and their value will die here. Demand evidence and performance with classic business ROI models and proof of concept models before scaling up and investing further.
7. AI infrastructure and subscription model audit complete?
Yes or No – We have validated that our system is secure, provides a scalable compute (without any hidden token caps) or misleading “unlimited” plans that degrade in speed or accuracy under heavy use?
8. Organizational cognitive debt self-audit complete?
Yes or No – Team members can perform core tasks offline and independent of AI. Team members understand key processes and metrics either from memory or can point to visual process flows and explain them to others. Team members can solve problems with manual analog style problem solving methods. Options can be weighed and analyzed and recommendations made without the use of AI where necessary?
Why it matters: Evidence including the 2025 MIT study demonstrates that even light use of AI tools increases cognitive debt, reduced critical thinking and diminished human capability.
9. Risk assessment of skill erosion and emotional dependence complete?
Yes or No – We see no observed decline in individual team member foundational skills such as independent analysis, numeric recall and self navigation. No instances of team members treating AI as a daily “life coach,” therapist or emotional substitute. This includes no instances of team member isolation and reduced human ethics in our team?
Why it matters: Just as the internet and smart phones outsourced memory and navigation since 2010, AI may accelerate similar erosion in skills, individual emotional management, and human ethics.
10. Is our long term cognitive debt reduction and maintenance plan in place?
Yes or No – We regularly conduct scheduled reviews on a cadenced basis. We review our AI training plans and policies consistently. We monitor our team to rebuild and up-skill the team with a two (2) to five (5) year future time horizon.
Why it matters: Just like any vehicle, AI requires regular service intervals to make sure the wheels don’t fall off or the engine fails. Without regular maintenance the long term organizational performance will degrade.
Score Summary and Results
9-10 Yes: Green: The strategy is solid, with metrics, measures and regular maintenance checks for optimal performance.
6-8 Yes: Yellow: A solid foundation that requires a tune up and a gap assessment with tactical action plans.
0-5 Yes: Red: Major Service Required. Prioritize an aligned strategy and ensure cognitive debt reduction.
Ready to Act? – What are the next steps to consider for your organization?
Explore the full AI -Technical Savior or Carnival Snake Oil? series that informed this checklist:
- Artificial Intelligence Primer
- Technical Savior or Carnival Snake Oil?
- The Business Model Deep Dive
- Cognitive Debt – The Real Risk
If you’d like to learn more about practical and meaningful Human Centered Artificial Intelligence, check out The Innovation Garage AI primer session offerings.
In these sessions we present high level approaches that will support your organization to sensibly explore and create an effective and “Human Centered” Artificial Intelligence strategy for your organization.
Take a first step by reaching out to us here, or drop an email to i[email protected].
At The Innovation Garage®, We help organizations grow.
Providing education, tools, technology, and expert consulting in change management for strategy, innovation, and supply chain.
Guiding leaders from organizations across the world to intentionally self-disrupt their offerings and organizations.
We deliver world-class education, tools, and technology on how to craft business operating systems focused on long-term profitable growth.
All contents Copyright 2012-Present The Innovation Garage, LLC.