Hi guys.
Welcome to this session.
So in this session we're going to talk about how we are going to do assessing of AI business readiness
for any business to apply AI technology how ready they are.
So that is what we want to see.
With the help of some frameworks and criterias, we can assess whether a particular business is ready
for the AI technology usage or not.
So in this, the first framework we are going to use is AI ready framework for SME small medium businesses.
This is going to be where you can set up review business goals and key players defining the objectives
of the AI, which is automation, customer engagement, identifying the stakeholders departments to
lead these initiatives.
Then we're going to look at how to evaluate data technology and skills.
In this, you're going to assess the data quality, organization and accessibility.
Ensure the systems are compatible with the AI tools, identifying any type of skill gaps or plans for
any training if needed.
Also, we're going to see we're going to assess the processes for AI and automation.
So pinpointing repetitive and time consuming tasks for AI optimization which you can do.
Look for areas where AI can be enhanced.
Decision making helps in enhancing decision making or customer experiences.
Also in this, we're going to also look at determining the risks and resources address any type of data
privacy security concerns which we may have.
Evaluate any type of budget, time and personal needs for these AI projects.
Also mapping out our AI integration plan.
So we need to create a complete roadmap with clear timelines, milestones, and success metrics.
So this can be one framework which a small medium businesses can apply for large businesses.
There is Deloitte's framework which is AI, RMF which which is AI Readiness and management framework.
Here we're going to look at AI strategy and governance.
So where are we going to define the vision and governance to align AI with business goals.
Then we're going to look at data readiness, which is to ensure high quality, accessible data as the
foundation.
Then AI application and solutions to develop and implement AI models tailored to business needs.
We are going to also see AI enabled workforce.
So we need to train and equip employees to collaborate with AI tools effectively.
Also in this we're going to see scalable AI infrastructure and platforms.
So we are going to build build systems to support AI deployment and growth, trustworthiness, security
and risk management.
So prioritizing ethics privacy, security in AI applications.
Then we have AI delivery and operations.
So basically to streamline the scaling and maintenance of AI solutions.
And finally customer and user experience to enhance user adoption with human centered design.
So this is going to be the framework which we can use for our large customers specifically.
Also, in addition to this, you can also look at AI sourcing and vendor management.
So developing strategies for procuring and managing AI partnerships.
Exploration and innovation.
So which is where you identify and test new AI opportunities and applications.
Now if you look at both the AI Readiness overview in AI ready framework for SMEs, it's a straightforward
approach which basically evaluates goals, data, technology, and team capabilities.
It identifies processes for AI driven improvements, whereas the Deloitte AI, RMF.
For large organizations, it's a comprehensive framework combining technical readiness, strategy,
ethics and scalability.
So the next steps would be that you go ahead and review your organization's readiness using these frameworks,
and then gain clarity around your current stage where you are, and determine the best course of action
for your AI strategy.