In e-government, decision makers need support in their decision processes that may vary from simple nature to complex one. Authorities desire an intelligent workflow for their multilevel approval cycle. In this paper, we propose to use Case Base Reasoning (CBR) for the approval of small projects in public sector. CBR is an artificial intelligence technique which efficiently exploits the past experience to find solution of new problems. The CBR engine maintains a repository of past cases. On a new project approval request, the proposed inference system matches similar historical cases and suggests a solution for the new project. The proposed methodology has been evaluated on a case-base of sample projects.

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A highly decentralized e-governance structure of a country may have nearly independent sub-nationals (provinces/states and local governments etc.). These sub-nationals may independent politically, financially and administratively. These liberties allow them to form an independent e-government or online services but individual efforts are costly approach and face barriers regarding integration. To avoid these issues, they may form or join collaborative network for whole e-government or for few eservices as of ARCON (A Reference model for Collaborative Networks). To join this network, sub-nationals must have some degree of readiness and maturities such as political, fiscal and administrative. In this paper, a capability maturity model has proposed to join a collaborate network for e-services.