![Human-Assisted Intelligence](/documents/75799/3521882/944x1078+-+Interior+noticia+%281%29.jpg/a65650c3-59e9-eeed-4f24-dbc2a37c4280?t=1738054093466)
Assisted human intelligence (AHI) and project management
In theory, practically, and in general, all the missions that we assume or that can be assigned to us can be configured as projects. Projects that have to be implemented. Run. Subsequently managed. Materialized. And with success. Such success depends, however, on multiple vicissitudes and challenges.
In the context of consulting, whose complexity - of scopes, stakeholders, interrelationships, object of work, client experience to be built and/or consolidated, among others - is even greater; working on projects and seeking to obtain the best results is a special responsibility. In consulting, there is a legitimate expectation that the service provider will add value. Effective value that can be seen and felt. The bar is therefore high.
With the advent of Artificial Intelligence (AI), or Assisted Human Intelligence (AHI) – from the perspective of some – such challenges can be mitigated, transformed, substantially better overcome. In terms of client experience, this is critical, by the way.
On time, this ruthless dictator
AHI/AI has high predictive potential. Fed with the right data, it can not only predict possible constraints in project planning, but also their causes, the reasons behind the framework of such delays or even the limitations/restrictions that gave rise to it. In addition, in an automated way, it can stimulate anticipation mechanisms that will allow the project team (and its leader) to identify and execute the decisions that are required to achieve the proposed objectives.
On Communication, that critical DNA
The proliferation of communication automation tools, chatbots, virtual assistants (see the example of Co-Pilot), among other mechanisms, significantly streamlines the work required for communication between the project team and, if necessary, the various stakeholders involved. Project management is very prone to misinterpretation when active listening is not practiced. It is also likely to generate message conflicts. The transparency, rigor and timeliness of communication can be greatly improved with AHI.
On Team and Resource Management, and its scarcity
The optimization potential that AI/AHI provides can reinforce levels of collaboration, engagement, and motivation in a project work team. Real collaboration and the use of AI work assistants reinforce levels of integration of communication, worksharing, substantially improving productivity rates. On the other hand, AI greatly assists in the choice of resources, in their allocation to the schedule and implementation plan and, consequently, to consolidate the chances of success of the project.
On Risk Management and its unpredictability
Risk mitigation has been one of the most important tasks in project management. Such mitigation or approach is not independent of (and lacks, in fact) an adequate identification and evaluation – of all parameters, possibilities and vicissitudes. The contribution of AI to the construction of an adequate project risk matrix and its predictive capacity may be decisive – either by better identifying patterns, by automating control systems, or by the alarms that can be instituted. With AI, unpredictability can become more manageable (not necessarily less unpredictable).
On Scope Management and Decision Making
By providing a predictive approach, better decision support, with timely and accurate data and information, thus reducing uncertainty, better managing the typical unpredictability in project management and supporting a holistic approach to the processes considered, AI/IHA is a very useful partner for project leadership. We know, in fact, from experience, that the change of scope is a constant threshold of dispute, requiring tight control and monitoring, otherwise one project will become another, completely. Responsibility that, under the supervision of leadership, can be assigned to an agent. Multiple studies and reports on the applicability of AI and technological and digital transformation trends, from the most varied sources, all point in the same direction.
The introduction of AI into our daily lives promotes substantial improvements in productivity and efficiency promotion. In terms of project management, this may mean better management, better supervision and the ability to carry out better projects or the same number of projects in less time. It may also represent (and should) a significant improvement in the satisfaction – both of the project teams and their elements – as well as of the various stakeholders involved. Failure to achieve such a desideratum will certainly mean that such an introduction of AI has not been well calculated or used in the most critical elements of the project. That is to say, in another way, that this represents an additional element of analysis and consideration for project leaders, in the same way that, already today, they define and frame all the other resources and integral parts of their project team.