![](data:image/png;base64,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)
2 – IDENTIFICAÇÃO 3 – ANÁLISE 4 – AVALIAÇÃO
ID RISCO PROBABILIDADE IMPACTO NÍVEL APETITE RESPOSTA
1 Erro na classicação da natureza da despesa (A5)
Muito Baixa (<5%) Muito Alto (>20%)
5
Aceitável
Aceitar
2 Erro na informação da disponibilidade orçamentária (A5);
Muito Baixa (<5%) Alto (15% a 20%)
4
Aceitável
Aceitar
3 CNPJ diferente, modalidade errada (A13)
Muito Baixa (<5%) Muito Alto (>20%)
5
Aceitável
Aceitar
4 SIAFI fora do ar (A13)
Muito Baixa (<5%) Muito Alto (>20%)
5
Aceitável
Aceitar
5 Falta de energia no TRT13 (A13)
Muito Baixa (<5%) Muito Alto (>20%)
5
Aceitável
Aceitar
6 Inconsistência no Termo de Liquidação(nº de PROAD, valores, saldo)(A14))
Muito Baixa (<5%) Baixo (5% a 10%)
2
Oportuno
Aceitar
7 Inserção de dados equivocada no SIAFI WEB(A15)
Muito Baixa (<5%) Muito Alto (>20%)
5
Aceitável
Aceitar
8 Protocolo não ser encaminhado para a SCD/OD(A12)
Muito Baixa (<5%) Muito Alto (>20%)
5
Aceitável
Aceitar
9 Inconsistência no Termo de Liquidação(nº de PROAD, valores, saldo)(A14)
Muito Baixa (<5%) Baixo (5% a 10%)
2
Oportuno
Aceitar
10 Protocolo ser arquivado sem enviar para baixa de pré-empenho(A23)
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
11 SOF não observar que o recurso chegou para dar con?nuidade ao pagamento(A24)
Alta (20% a 30%) Alto (15% a 20%)
16
Absolutamente Inaceitável
Mi?gar
12 Inclusão equivocada de documento ou ilegível (A2)
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
13 Resposta as solicitações enviadas para local errado(A2)
Muito Baixa (<5%) Muito Baixo (<5%)
1
Oportuno
Aceitar
14 A solicitação feita pelo magistrado / servidor não caí no NUMA. (A2)
Muito Baixa (<5%) Muito Baixo (<5%)
1
Oportuno
Aceitar
15
Baixa (5% a 10%) Alto (15% a 20%)
8
Inaceitável
Mi?gar
16
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
17 Esquecer de registrar a devida anotação no PROAD no Indeferimento (A18).
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
18 Comprovação incompleta dos documentos comprobatórios. (A19).
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
19 Atraso na apresentação da documentação necessária ao arquivamento (A19).
Média (10% a 20%) Baixo (5% a 10%)
6
Aceitável
Aceitar
20 Falha na análise do requerimento inicial(A20)
Média (10% a 20%) Médio (10% a 25%)
9
Inaceitável
Mi?gar
21 Falha na análise da cha cadastral do servidor(A20)
Média (10% a 20%) Médio (10% a 25%)
9
Inaceitável
Mi?gar
22 Falha no cálculo do demonstra?vo do valor a ser pago(A20)
Média (10% a 20%) Baixo (5% a 10%)
6
Aceitável
Aceitar
23 Falta de documentos necessários à boa instrução do Proad(A21)
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
24 Omissão de informações necessárias à instrução do Proad(A21)
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
25 Falha da análise do pleito(A22)
Baixa (5% a 10%) Médio (10% a 25%)
6
Aceitável
Aceitar
26 Falha no cálculo do valor do subsídio e demais vantagens remuneratórias(A4)
Muito Baixa (<5%) Médio (10% a 25%)
3
Aceitável
Aceitar
27 Não efe?var o registro nos assentamentos funcionais(A16)
Baixa (5% a 10%) Alto (15% a 20%)
8
Inaceitável
Mi?gar
28 Ausência de no?cação do requerente(A16)
Baixa (5% a 10%) Baixo (5% a 10%)
4
Aceitável
Aceitar
29 Falha na análise dos documentos comprobatórios do deslocamento(A25)
Muito Baixa (<5%) Alto (15% a 20%)
4
Aceitável
Aceitar
30
Muito Baixa (<5%) Alto (15% a 20%)
4
Aceitável
Aceitar
PODER JUDICIÁRIO
JUSTIÇA DO TRABALHO
TRIBUNAL REGIONAL DO TRABALHO DA 13ª REGIÃO
PROCESSO DE TRABALHO: [Concessão e Pagamento de Ajuda de Custos]
GESTOR DO RISCO: [Diretor-Geral da Secretaria]
CICLO [1º] - DATA CONCLUSÃO DA ANÁLISE 26/10/2022
1 – ESTABELECIMENTO DO CONTEXTO: [Requerimento de concessão de ajuda de custo de magistrado/servidor através do PROAD - Deferimento ou não da concessão de ajuda de custo/pagamento e PROAD
arquivado]
Erro de interpretação do parecer da AJP ou erro material na confecção da minuta de
despacho.(A8)(A9).
Erro material no envio do e-mail, pelo PROAD, ao encaminhar a ciência do interessado
(A11).
Esquecer de providenciar a abertura do procedimento de cobrança em face da não
comprovação(A25)
Obs.: As designações (An) fazem referência às a?vidades do processo mapeado onde o risco foi iden?cado.