Business processes realize a business goal by coordinating the tasks undertaken by multiple interacting parties. Given such a distributed nature, Multiagent Organizations (MAO) are a promising paradigm for conceptualizing and implementing business processes. Yet, MAO still lack of a systematic method for reporting to the right agents feedback about success or failure of a task. We claim that an explicit representation of accountability and responsibility assumptions provides the right abstractions to engineer MAO for supporting the execution of business processes. Basing our programming approach on MAO, we present two accountability patterns for developing accountable agents. To illustrate this approach we use the JaCaMo multi-agent programming platform.