  Sensemaking is a constant and ongoing process by which people associate
meaning to experiences. It can be an individual process, known as abduction, or
a group process by which people give meaning to collective experiences. The
sensemaking of a group is influenced by the abduction process of each person
about the experience. Every collaborative process needs some level of
sensemaking to show results. For a knowledge intensive process, sensemaking is
central and related to most of its tasks. We present findings from a fieldwork
executed in knowledge intensive process from the Oil and Gas industry. Our
findings indicated that different types of knowledge can be combined to compose
the result of a sensemaking process (e.g. decision, the need for more
discussion, etc.). This paper presents an initial set of knowledge types that
can be combined to compose the result of the sensemaking of a collaborative
decision making process. We also discuss ideas for using systems powered by
Artificial Intelligence to support sensemaking processes.
