Using AI to Improve IT Governance
On average, organisations invest between 20% and 30% of their budget in information technology each year, with the aim of achieving relevant results that positively impact the business. When analysing the results of these investments, we find that the objectives are achieved, but there are also feelings of not having met all the expectations.
Technology leaders recognise that the perception of business dissatisfaction is due, in part, to expectation management and the extraordinary results promoted by the current trend of technology vendors in specialised media.
In recent years, IT governance partners have implemented new innovation generation models, more agile and flexible processes, adoption of increasingly integrable technologies such as 'low code' and multidisciplinary teams, among other changes. All this with the aim of bridging the gap between business and technology professionals, to align expectations and expected results.
During our immersions with technology leaders, at Izertis we have seen that integration with the business represents a great advance. However, it has also created new challenges for organisations. These challenges include
- Decentralised technology asset management,
- The automation of internal and external IT processes,
- Active knowledge management and
- The integration of costs.
Despite these advances, we are still faced with questions that require a higher level of information, analysis and speed of response, something that the current tools in place cannot always provide.
Definitely the advances in digital transformation and innovation in many organisations have shown that it is a success of the duo of business and technology partners, especially IF WE INCLUDE THE TAYLOR SWIFT OF TODAY'S TECHNOLOGY.
Athird member of the team! a member who has the ability to analyse, understand, process, predict results and generate proposals for solutions quickly and 24 hours a day!
This leads us to present how artificial intelligence could help evolve three of the main challenges facing IT governance today.
Improving Communication
Let's start with the Achilles' heel of technologists, i.e. how to communicate the development and outcome of their services to the organisation in a simple, easy and eye-catching way.
Beyond the common approach of communicating the technical feasibility of a required solution, we must have answers to questions that help us to promote better communication and integration with the business.
What is the contribution of technology to business results, what are the scenarios of evolution of new technologies with the capabilities of current equipment, possible impacts of the evolution of IT service providers' services?
Hundreds of such use cases can be managed and used by the organisation through chatbot access and AI-based IT process management software
These questions are always left with large gaps in executive committees, annual accounts closures, high investment projects.....
Today, with the internal and external information available to organisations, we can analyse it in a structured and unstructured way through AI-based analytics tools to get us closer to the right and reliable answers.
For example, we can strategically feed sources of IT tools that support IT services, cross-reference them with employee information (technical skills, responsibility, experience, availability, ...) and the technology assets they manage in order to identify knowledge gaps, work teams and capability plans with risk identification in a very simple, recurrent and fast way.
Hundreds of such use cases can be managed and used by the organisation through chatbot access and AI-based IT process management software, for customised report deployments, alert management by generative risk identification patterns and deployment of action plans at different timeframes.
Integrating equipment and information in the design of solutions and services
With the increase in technology assets implemented in organisations over the last 5 years, there has also been an increase in the difficulty of managing suppliers, knowledge in different technological flavours, integration spaces and the generation of information both internally and externally.
Many organisations are incorporating as part of their RFPs the inclusion of AI-based technical support
This means that the variables to be taken into account in designing an appropriate governance model and solution from a functional, technical and security point of view have increased in complexity. It is common to hear that you have not finished making a design or implementing a solution, when a redesign is required because of new conditions or changes.
The challenge of achieving an adequate model and design in time with all the variables for its optimal development and meeting the requirements of experience, functionality, quality and security must rely on the analysis of live information and manage solution alternatives with higher capabilities than those commonly used.
To this end, many organisations are incorporating as part of their RFPs the inclusion of AI-based technical support, in addition to the provision of traditional helpdesk services that vendors offer as part of their services. This brings significant advantages including solutions ranging from design under functional as well as technical commands, automated code development, prototyping, learning-based system testing, risk analysis and online vulnerability updates.
Extraordinary information on investments and costs
Communication and management are as important in the design of technology solutions as are the business' expectations of the investment and its costs.
At Izertis we guide our clients from the strategy, design of the applied model and implementation with the elements that organisations manage
How much investment is required for current risk management? what is the cost of the process of transformation and anchoring change? when is the return and in what scenarios, why the increase, how much was the impact of the service drop?
In the course of investments made in digital transformation, organisations have experiences of both failures and victories that have led to a tendency to assess the returns on such investments more accurately.
The integration of technology governance tools to automate their processes and integrate them with the organisation's administrative, financial and legal systems is a great source of information to provide direct answers to questions that can help justify investments, maintain services and identify risks.
But beyond the day-to-day questions, we can expect use case alert reports, such as identifying impacts of services provided by third parties to our organisations due to possible changes in their strategy, acquisitions, mergers, problems, customer service levels.
As we have demonstrated in a simple way in these three great and historical challenges of technology governance, the possibilities to develop tangible use cases to exploit the benefits of artificial intelligence are many, and for this , at Izertis we guide our clients from the strategy, design of the applied model and implementation with the elements that organisations manage to seek solutions in advance in accordance with the priorities of the business.