Mapa de Riscos

Concessão e Pagamento de Ajuda de Custos HTML
Concessão e Pagamento de Ajuda de Custos.html — HTML, 212Kb
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<!DOCTYPE html>
<!-- Created by pdf2htmlEX (https://github.com/coolwanglu/pdf2htmlex) -->
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8"/>
<meta name="generator" content="pdf2htmlEX"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"/>
<style type="text/css">
/*! 
 * Base CSS for pdf2htmlEX
 * Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com> 
 * https://github.com/coolwanglu/pdf2htmlEX/blob/master/share/LICENSE
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<style type="text/css">
/*! 
 * Fancy styles for pdf2htmlEX
 * Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com> 
 * https://github.com/coolwanglu/pdf2htmlEX/blob/master/share/LICENSE
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')format("woff");}.ff2{font-family:ff2;line-height:0.895996;font-style:normal;font-weight:normal;visibility:visible;}
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class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">2 – IDENTIFICAÇÃO<span class="_ _0"> </span>3 – ANÁLISE<span class="_ _1"> </span>4 – AVALIAÇÃO</div><div class="t m0 x2 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">ID<span class="_ _2"> </span>RISCO<span class="_ _3"> </span>PROBABILIDADE<span class="_ _4"> </span>IMPACTO<span class="_ _5"> </span>NÍVEL<span class="_ _6"> </span>APETITE<span class="_ _7"> </span>RESPOSTA</div><div class="t m0 x3 h3 y3 ff2 fs0 fc0 sc0 ls0 ws0">1<span class="_ _8"> </span>Erro na classicação da na<span class="_ _9"></span>tureza da despesa (A5)</div><div class="t m0 x4 h4 y4 ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Alto (&gt;20%)</div><div class="t m0 x5 h3 y3 ff2 fs0 fc0 sc0 ls0 ws0">5</div><div class="t m0 x6 h4 y4 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y3 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 y5 ff2 fs0 fc0 sc0 ls0 ws0">2<span class="_ _8"> </span>Erro na informação da disp<span class="_ _9"></span>onibilidade orçamentária (A5);</div><div class="t m0 x4 h4 y6 ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Alto (15% a 20%)</div><div class="t m0 x5 h3 y5 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y6 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y5 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 y7 ff2 fs0 fc0 sc0 ls0 ws0">3<span class="_ _8"> </span>CNPJ diferente, modalidade errada (A13)</div><div class="t m0 x4 h4 y8 ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Alto (&gt;20%)</div><div class="t m0 x5 h3 y7 ff2 fs0 fc0 sc0 ls0 ws0">5</div><div class="t m0 x6 h4 y8 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y7 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 y9 ff2 fs0 fc0 sc0 ls0 ws0">4<span class="_ _8"> </span>SIAFI fora do ar (A13)</div><div class="t m0 x4 h4 ya ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Alto (&gt;20%)</div><div class="t m0 x5 h3 y9 ff2 fs0 fc0 sc0 ls0 ws0">5</div><div class="t m0 x6 h4 ya ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y9 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 yb ff2 fs0 fc0 sc0 ls0 ws0">5<span class="_ _8"> </span>Falta de energia no TRT13 (A13)</div><div class="t m0 x4 h4 yc ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Alto (&gt;20%)</div><div class="t m0 x5 h3 yb ff2 fs0 fc0 sc0 ls0 ws0">5</div><div class="t m0 x6 h4 yc ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 yb ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 yd ff2 fs0 fc0 sc0 ls0 ws0">6<span class="_ _8"> </span>Inconsistência no Termo de L<span class="_ _9"></span>iquidação(nº de PROAD, valores, saldo)(A14))</div><div class="t m0 x4 h4 ye ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 yd ff2 fs0 fc0 sc0 ls0 ws0">2</div><div class="t m0 x6 h4 ye ff3 fs0 fc0 sc0 ls0 ws0">Oportuno</div><div class="t m0 x7 h3 yd ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 yf ff2 fs0 fc0 sc0 ls0 ws0">7<span class="_ _8"> </span>Inserção de dados<span class="_ _9"></span> equivocada no SIAFI WEB(A15)</div><div class="t m0 x4 h4 y10 ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Alto (&gt;20%)</div><div class="t m0 x5 h3 yf ff2 fs0 fc0 sc0 ls0 ws0">5</div><div class="t m0 x6 h4 y10 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 yf ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 y11 ff2 fs0 fc0 sc0 ls0 ws0">8<span class="_ _8"> </span>Protocolo não ser encaminhad<span class="_ _9"></span>o para a SCD/OD(A12)</div><div class="t m0 x4 h4 y12 ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Alto (&gt;20%)</div><div class="t m0 x5 h3 y11 ff2 fs0 fc0 sc0 ls0 ws0">5</div><div class="t m0 x6 h4 y12 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y11 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x3 h3 y13 ff2 fs0 fc0 sc0 ls0 ws0">9<span class="_ _8"> </span>Inconsistência no Termo de L<span class="_ _9"></span>iquidação(nº de PROAD, valores, saldo)(A14)</div><div class="t m0 x4 h4 y14 ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y13 ff2 fs0 fc0 sc0 ls0 ws0">2</div><div class="t m0 x6 h4 y14 ff3 fs0 fc0 sc0 ls0 ws0">Oportuno</div><div class="t m0 x7 h3 y13 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y15 ff2 fs0 fc0 sc0 ls0 ws0">10<span class="_ _b"> </span>Protocolo ser arquivado sem env<span class="_ _9"></span>iar para baixa de p<span class="_ _9"></span>ré-empenho(A23)</div><div class="t m0 x4 h4 y16 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y15 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y16 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y15 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y17 ff2 fs0 fc0 sc0 ls0 ws0">11<span class="_ _b"> </span>SOF não observar que o recurso<span class="_ _9"></span> chegou para dar con?n<span class="_ _9"></span>uidade ao pagam<span class="_ _9"></span>ento(A24)</div><div class="t m0 x4 h4 y18 ff3 fs0 fc0 sc0 ls0 ws0">Alta (20% a 30%)<span class="_ _d"> </span>Alto (15% a 20%)</div><div class="t m0 x8 h3 y17 ff2 fs0 fc0 sc0 ls0 ws0">16</div><div class="t m0 x9 h4 y18 ff3 fs0 fc0 sc0 ls0 ws0">Absolutamente Inaceitável</div><div class="t m0 x7 h3 y17 ff2 fs0 fc0 sc0 ls0 ws0">Mi?gar</div><div class="t m0 x2 h3 y19 ff2 fs0 fc0 sc0 ls0 ws0">12<span class="_ _b"> </span>Inclusão equivocad<span class="_ _9"></span>a de documento ou ilegível (A2)</div><div class="t m0 x4 h4 y1a ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y19 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y1a ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y19 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y1b ff2 fs0 fc0 sc0 ls0 ws0">13<span class="_ _b"> </span>Resposta as solicitações envia<span class="_ _9"></span>das para local errado(A2)</div><div class="t m0 x4 h4 y1c ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Baixo (&lt;5%)</div><div class="t m0 x5 h3 y1b ff2 fs0 fc0 sc0 ls0 ws0">1</div><div class="t m0 x6 h4 y1c ff3 fs0 fc0 sc0 ls0 ws0">Oportuno</div><div class="t m0 x7 h3 y1b ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y1d ff2 fs0 fc0 sc0 ls0 ws0">14<span class="_ _b"> </span>A solicitação feita pelo magistrado / servidor não ca<span class="_ _9"></span>í no NUMA. (A2)</div><div class="t m0 x4 h4 y1e ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Muito Baixo (&lt;5%)</div><div class="t m0 x5 h3 y1d ff2 fs0 fc0 sc0 ls0 ws0">1</div><div class="t m0 x6 h4 y1e ff3 fs0 fc0 sc0 ls0 ws0">Oportuno</div><div class="t m0 x7 h3 y1d ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y1f ff2 fs0 fc0 sc0 ls0 ws0">15</div><div class="t m0 x4 h4 y20 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Alto (15% a 20%)</div><div class="t m0 x5 h3 y1f ff2 fs0 fc0 sc0 ls0 ws0">8</div><div class="t m0 xa h4 y20 ff3 fs0 fc0 sc0 ls0 ws0">Inaceitável</div><div class="t m0 x7 h3 y1f ff2 fs0 fc0 sc0 ls0 ws0">Mi?gar</div><div class="t m0 x2 h3 y21 ff2 fs0 fc0 sc0 ls0 ws0">16</div><div class="t m0 x4 h4 y22 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y21 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y22 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y21 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y23 ff2 fs0 fc0 sc0 ls0 ws0">17<span class="_ _b"> </span>Esquecer de registrar a devida an<span class="_ _9"></span>otação no PROAD no Ind<span class="_ _9"></span>eferimento (A18).</div><div class="t m0 x4 h4 y24 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y23 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y24 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y23 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y25 ff2 fs0 fc0 sc0 ls0 ws0">18<span class="_ _b"> </span>Comprovação incompleta d<span class="_ _9"></span>os documentos comproba<span class="_ _9"></span>tórios. (A19).</div><div class="t m0 x4 h4 y26 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y25 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y26 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y25 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y27 ff2 fs0 fc0 sc0 ls0 ws0">19<span class="_ _b"> </span>Atraso na apresentação<span class="_ _9"></span> da documentação n<span class="_ _9"></span>ecessária ao arquivame<span class="_ _9"></span>nto (A19).</div><div class="t m0 x4 h4 y28 ff3 fs0 fc0 sc0 ls0 ws0">Média (10% a 20%)<span class="_ _e"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y27 ff2 fs0 fc0 sc0 ls0 ws0">6</div><div class="t m0 x6 h4 y28 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y27 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y29 ff2 fs0 fc0 sc0 ls0 ws0">20<span class="_ _b"> </span>Falha na análise do req<span class="_ _9"></span>uerimento inicial(A20)</div><div class="t m0 x4 h4 y2a ff3 fs0 fc0 sc0 ls0 ws0">Média (10% a 20%)<span class="_ _e"> </span>Médio (10% a 25%)</div><div class="t m0 x5 h3 y29 ff2 fs0 fc0 sc0 ls0 ws0">9</div><div class="t m0 xa h4 y2a ff3 fs0 fc0 sc0 ls0 ws0">Inaceitável</div><div class="t m0 x7 h3 y29 ff2 fs0 fc0 sc0 ls0 ws0">Mi?gar</div><div class="t m0 x2 h3 y2b ff2 fs0 fc0 sc0 ls0 ws0">21<span class="_ _b"> </span>Falha na análise da<span class="_ _9"></span> cha cadastral do servidor(A20)</div><div class="t m0 x4 h4 y2c ff3 fs0 fc0 sc0 ls0 ws0">Média (10% a 20%)<span class="_ _e"> </span>Médio (10% a 25%)</div><div class="t m0 x5 h3 y2b ff2 fs0 fc0 sc0 ls0 ws0">9</div><div class="t m0 xa h4 y2c ff3 fs0 fc0 sc0 ls0 ws0">Inaceitável</div><div class="t m0 x7 h3 y2b ff2 fs0 fc0 sc0 ls0 ws0">Mi?gar</div><div class="t m0 x2 h3 y2d ff2 fs0 fc0 sc0 ls0 ws0">22<span class="_ _b"> </span>Falha no cálculo do demon<span class="_ _9"></span>stra?vo do valor a ser pa<span class="_ _9"></span>go(A20)</div><div class="t m0 x4 h4 y2e ff3 fs0 fc0 sc0 ls0 ws0">Média (10% a 20%)<span class="_ _e"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y2d ff2 fs0 fc0 sc0 ls0 ws0">6</div><div class="t m0 x6 h4 y2e ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y2d ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y2f ff2 fs0 fc0 sc0 ls0 ws0">23<span class="_ _b"> </span>Falta de documentos necessá<span class="_ _9"></span>rios à boa instrução do Proa<span class="_ _9"></span>d(A21)</div><div class="t m0 x4 h4 y30 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y2f ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y30 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y2f ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y31 ff2 fs0 fc0 sc0 ls0 ws0">24<span class="_ _b"> </span>Omissão de informações n<span class="_ _9"></span>ecessárias à instrução do Proa<span class="_ _9"></span>d(A21)</div><div class="t m0 x4 h4 y32 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y31 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y32 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y31 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y33 ff2 fs0 fc0 sc0 ls0 ws0">25<span class="_ _b"> </span>Falha da análise do p<span class="_ _9"></span>leito(A22)</div><div class="t m0 x4 h4 y34 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Médio (10% a 25%)</div><div class="t m0 x5 h3 y33 ff2 fs0 fc0 sc0 ls0 ws0">6</div><div class="t m0 x6 h4 y34 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y33 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y35 ff2 fs0 fc0 sc0 ls0 ws0">26<span class="_ _b"> </span>Falha no cálculo do valor do<span class="_ _9"></span> subsídio e demais vanta<span class="_ _9"></span>gens remuneratórias(A4)</div><div class="t m0 x4 h4 y36 ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Médio (10% a 25%)</div><div class="t m0 x5 h3 y35 ff2 fs0 fc0 sc0 ls0 ws0">3</div><div class="t m0 x6 h4 y36 ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y35 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y37 ff2 fs0 fc0 sc0 ls0 ws0">27<span class="_ _b"> </span>Não efe?var o registro nos ass<span class="_ _9"></span>entamentos funcionais(A16)</div><div class="t m0 x4 h4 y38 ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Alto (15% a 20%)</div><div class="t m0 x5 h3 y37 ff2 fs0 fc0 sc0 ls0 ws0">8</div><div class="t m0 xa h4 y38 ff3 fs0 fc0 sc0 ls0 ws0">Inaceitável</div><div class="t m0 x7 h3 y37 ff2 fs0 fc0 sc0 ls0 ws0">Mi?gar</div><div class="t m0 x2 h3 y39 ff2 fs0 fc0 sc0 ls0 ws0">28<span class="_ _b"> </span>Ausência de no?cação d<span class="_ _9"></span>o requerente(A16)</div><div class="t m0 x4 h4 y3a ff3 fs0 fc0 sc0 ls0 ws0">Baixa (5% a 10%)<span class="_ _c"> </span>Baixo (5% a 10%)</div><div class="t m0 x5 h3 y39 ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y3a ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y39 ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y3b ff2 fs0 fc0 sc0 ls0 ws0">29<span class="_ _b"> </span>Falha na análise dos<span class="_ _9"></span> documentos comprobatórios d<span class="_ _9"></span>o deslocamento(A25)</div><div class="t m0 x4 h4 y3c ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Alto (15% a 20%)</div><div class="t m0 x5 h3 y3b ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y3c ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y3b ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 x2 h3 y3d ff2 fs0 fc0 sc0 ls0 ws0">30</div><div class="t m0 x4 h4 y3e ff3 fs0 fc0 sc0 ls0 ws0">Muito Baixa (&lt;5%)<span class="_ _a"> </span>Alto (15% a 20%)</div><div class="t m0 x5 h3 y3d ff2 fs0 fc0 sc0 ls0 ws0">4</div><div class="t m0 x6 h4 y3e ff3 fs0 fc0 sc0 ls0 ws0">Aceitável</div><div class="t m0 x7 h3 y3d ff2 fs0 fc0 sc0 ls0 ws0">Aceitar</div><div class="t m0 xb h2 y3f ff1 fs0 fc0 sc0 ls0 ws0">PODER JUDICIÁRIO</div><div class="t m0 xc h2 y40 ff1 fs0 fc0 sc0 ls0 ws0">JUSTIÇA DO TRABALHO</div><div class="t m0 xd h2 y41 ff1 fs0 fc0 sc0 ls0 ws0">TRIBUNAL REGIONAL DO TRABALHO DA 13ª REGIÃO</div><div class="t m0 xe h2 y42 ff1 fs0 fc0 sc0 ls0 ws0">PROCESSO DE TRABALHO: [Concessão e Pagamento de Ajuda d<span class="_ _f"></span>e Custos]</div><div class="t m0 xf h2 y43 ff1 fs0 fc0 sc0 ls0 ws0">GESTOR DO RISCO: [Diretor-Geral da Secretaria]</div><div class="t m0 x10 h2 y44 ff1 fs0 fc0 sc0 ls0 ws0">CICLO [1º] - DATA CONCLUSÃO DA ANÁLISE 26/10/2022</div><div class="t m0 x11 h2 y45 ff1 fs0 fc0 sc0 ls0 ws0">1 – ESTABELECIMENTO DO CONTEXTO: [Requerimento de concessão de ajud<span class="_ _f"></span>a de custo de magistrado/servidor através do PROAD - <span class="_ _9"></span>Deferimento ou não da concessão de a<span class="_ _f"></span>juda de custo/pagamento e PROAD </div><div class="t m0 x12 h2 y46 ff1 fs0 fc0 sc0 ls0 ws0">arquivado]</div><div class="t m0 x13 h3 y47 ff2 fs0 fc0 sc0 ls0 ws0">Erro de  interpretação do pa<span class="_ _f"></span>recer da AJP ou erro material na confecção d<span class="_ _f"></span>a minuta de </div><div class="t m0 x13 h3 y48 ff2 fs0 fc0 sc0 ls0 ws0">despacho.(A8)(A9).</div><div class="t m0 x13 h3 y49 ff2 fs0 fc0 sc0 ls0 ws0">Erro material no envio do e-mail, pelo PROAD, a<span class="_ _f"></span>o encaminhar a ciência do interessado </div><div class="t m0 x13 h3 y4a ff2 fs0 fc0 sc0 ls0 ws0">(A11).</div><div class="t m0 x13 h3 y4b ff2 fs0 fc0 sc0 ls0 ws0">Esquecer de providenciar a abertura do procedimento de co<span class="_ _f"></span>brança em face da não </div><div class="t m0 x13 h3 y4c ff2 fs0 fc0 sc0 ls0 ws0">comprovação(A25)</div><div class="c x0 y4d w2 h5"><div class="t m0 x14 h6 y4e ff2 fs1 fc0 sc0 ls0 ws0">Obs.: As designações (A<span class="ff4">n</span>) fazem referê<span class="_ _9"></span>ncia às a?vidades do processo mapeado o<span class="_ _9"></span>nde o risco foi iden?cado.</div></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
<div id="pf2" class="pf w0 h0" data-page-no="2"><div class="pc pc2 w0 h0"><img class="bi x11 y4f w3 h7" alt="" 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"/><div class="t m0 x15 h8 y50 ff1 fs2 fc0 sc0 ls0 ws0">5 – TRATAMENTO<span class="_ _10"> </span>6 – MONITORAMENTO</div><div class="t m0 x16 h8 y51 ff1 fs2 fc0 sc0 ls0 ws0">RISCO<span class="_ _11"> </span>AÇÃO<span class="_ _12"> </span>RESPONSÁVEL<span class="_ _13"> </span>DATA PREVISTA<span class="_ _14"> </span>SITUAÇÃO<span class="_ _15"> </span>OBSERVAÇÃO</div><div class="t m0 x17 h9 y52 ff2 fs2 fc0 sc0 ls0 ws0">SOF</div><div class="t m0 x18 ha y53 ff3 fs2 fc0 sc0 ls0 ws0">Novo</div><div class="t m0 x19 h9 y54 ff2 fs2 fc0 sc0 ls0 ws0">NUMA/SGP<span class="_ _16"> </span>11/2022</div><div class="t m0 x18 ha y55 ff3 fs2 fc0 sc0 ls0 ws0">Novo</div><div class="t m0 x11 h9 y56 ff2 fs2 fc0 sc0 ls0 ws0">Falha na análise do <span class="_ _f"></span>requerimento in<span class="_ _f"></span>icial(A20)</div><div class="t m0 x1a h9 y57 ff2 fs2 fc0 sc0 ls0 ws0">10/2022</div><div class="t m0 x1b ha y58 ff3 fs2 fc0 sc0 ls0 ws0">Em Andame<span class="_ _f"></span>nto</div><div class="t m0 x1a h9 y59 ff2 fs2 fc0 sc0 ls0 ws0">10/2022</div><div class="t m0 x18 ha y5a ff3 fs2 fc0 sc0 ls0 ws0">Novo</div><div class="t m0 xc hb y5b ff1 fs3 fc0 sc0 ls0 ws0">PODER JUDIC<span class="_ _f"></span>IÁRIO</div><div class="t m0 x1c hb y5c ff1 fs3 fc0 sc0 ls0 ws0">JUSTIÇA D<span class="_ _f"></span>O TRABALH<span class="_ _f"></span>O</div><div class="t m0 x1d hb y5d ff1 fs3 fc0 sc0 ls0 ws0">TRIBUNA<span class="_ _f"></span>L REGIONA<span class="_ _f"></span>L DO TRABALHO<span class="_ _f"></span> DA 13ª REGIÃO</div><div class="t m0 x1e hb y5e ff1 fs3 fc0 sc0 ls0 ws0">PROCESSO DE<span class="_ _f"></span> TRABALHO: [Co<span class="_ _f"></span>ncessão e Pag<span class="_ _f"></span>amento d<span class="_ _f"></span>e Ajuda de <span class="_ _f"></span>Custos]</div><div class="t m0 x1f hb y5f ff1 fs3 fc0 sc0 ls0 ws0">GESTOR D<span class="_ _f"></span>O RISCO: [Diret<span class="_ _f"></span>or-Geral da <span class="_ _f"></span>Secretaria]</div><div class="t m0 x20 hb y60 ff1 fs3 fc0 sc0 ls0 ws0">CICLO [1º] -<span class="_ _f"></span> DATA CONCL<span class="_ _f"></span>USÃO DA ANÁL<span class="_ _f"></span>ISE 26/10/20<span class="_ _f"></span>22</div><div class="t m0 x21 hb y61 ff1 fs3 fc0 sc0 ls0 ws0">1 – ESTABELE<span class="_ _f"></span>CIMENTO DO<span class="_ _f"></span> CONTEXTO: <span class="_ _f"></span>[Requeri<span class="_ _f"></span>mento de con<span class="_ _f"></span>cessão de <span class="_ _f"></span>ajuda de custo d<span class="_ _f"></span>e magistra<span class="_ _f"></span>do/servid<span class="_ _f"></span>or através do PR<span class="_ _f"></span>OAD - Deferim<span class="_ _f"></span>ento ou n<span class="_ _f"></span>ão da </div><div class="t m0 x22 hb y62 ff1 fs3 fc0 sc0 ls0 ws0">concessão d<span class="_ _f"></span>e ajuda de<span class="_ _f"></span> custo/pagame<span class="_ _f"></span>nto e PROAD ar<span class="_ _f"></span>quivado]</div><div class="t m0 x11 h9 y63 ff2 fs2 fc0 sc0 ls0 ws0">SOF não ob<span class="_ _f"></span>servar que o recurso cheg<span class="_ _f"></span>ou para </div><div class="t m0 x11 h9 y64 ff2 fs2 fc0 sc0 ls0 ws0">dar con?nuidade <span class="_ _f"></span>ao pagamento<span class="_ _f"></span>(A24)</div><div class="t m0 x23 h9 y65 ff2 fs2 fc0 sc0 ls0 ws0">-Criar uma pasta<span class="_ _f"></span> no Proad, pa<span class="_ _f"></span>ra que </div><div class="t m0 x23 h9 y66 ff2 fs2 fc0 sc0 ls0 ws0">todos os servidore<span class="_ _f"></span>s da SOF tenham </div><div class="t m0 x23 h9 y67 ff2 fs2 fc0 sc0 ls0 ws0">acesso imediato.</div><div class="t m0 x1a h9 y68 ff2 fs2 fc0 sc0 ls0 ws0">11 /2022</div><div class="t m0 x24 h9 y69 ff2 fs2 fc0 sc0 ls0 ws0">-Gestor da SOF <span class="_ _f"></span>informou, em </div><div class="t m0 x24 h9 y6a ff2 fs2 fc0 sc0 ls0 ws0">25/10/2023, que a p<span class="_ _f"></span>asta foi </div><div class="t m0 x24 h9 y6b ff2 fs2 fc0 sc0 ls0 ws0">devidamente criada, c<span class="_ _f"></span>onforme a ação </div><div class="t m0 x24 h9 y6c ff2 fs2 fc0 sc0 ls0 ws0">programada.</div><div class="t m0 x11 h9 y6d ff2 fs2 fc0 sc0 ls0 ws0">Erro de  interpretaçã<span class="_ _f"></span>o do parecer da A<span class="_ _f"></span>JP ou </div><div class="t m0 x11 h9 y6e ff2 fs2 fc0 sc0 ls0 ws0">erro material na co<span class="_ _f"></span>nfecção da minuta d<span class="_ _f"></span>e </div><div class="t m0 x11 h9 y6f ff2 fs2 fc0 sc0 ls0 ws0">despacho.(A8)<span class="_ _f"></span>(A9).</div><div class="t m0 x23 h9 y70 ff2 fs2 fc0 sc0 ls0 ws0">- Elaborar checklist com ba<span class="_ _f"></span>se no </div><div class="t m0 x23 h9 y71 ff2 fs2 fc0 sc0 ls0 ws0">pedido apresentado<span class="_ _f"></span> pelo magistrado e </div><div class="t m0 x23 h9 y72 ff2 fs2 fc0 sc0 ls0 ws0">cotejar com o <span class="_ _f"></span>que foi sugerido pela </div><div class="t m0 x23 h9 y73 ff2 fs2 fc0 sc0 ls0 ws0">AJP.</div><div class="t m0 x23 h9 y74 ff2 fs2 fc0 sc0 ls0 ws0">- Conceder prazo d<span class="_ _f"></span>e pelo menos 24 </div><div class="t m0 x23 h9 y75 ff2 fs2 fc0 sc0 ls0 ws0">horas para<span class="_ _f"></span> manifestação do </div><div class="t m0 x23 h9 y76 ff2 fs2 fc0 sc0 ls0 ws0">magistrado quan<span class="_ _f"></span>to aos va<span class="_ _f"></span>lores </div><div class="t m0 x23 h9 y77 ff2 fs2 fc0 sc0 ls0 ws0">deferidos.</div><div class="t m0 x24 h9 y6d ff2 fs2 fc0 sc0 ls0 ws0">-Gestora do NUMA i<span class="_ _f"></span>nformou, em </div><div class="t m0 x24 h9 y6e ff2 fs2 fc0 sc0 ls0 ws0">25/10/2023, que as açõ<span class="_ _f"></span>es programada<span class="_ _f"></span>s </div><div class="t m0 x24 h9 y6f ff2 fs2 fc0 sc0 ls0 ws0">foram devidamente implementad<span class="_ _f"></span>as.</div><div class="t m0 x23 h9 y78 ff2 fs2 fc0 sc0 ls0 ws0">Criar checklist da análise, de<span class="_ _f"></span>ixando </div><div class="t m0 x23 h9 y79 ff2 fs2 fc0 sc0 ls0 ws0">claro o que deve ser<span class="_ _f"></span> feito ao se </div><div class="t m0 x23 h9 y7a ff2 fs2 fc0 sc0 ls0 ws0">receber o requerimento.</div><div class="t m0 x25 h9 y7b ff2 fs2 fc0 sc0 ls0 ws0">SERP/</div><div class="t m0 xb h9 y7c ff2 fs2 fc0 sc0 ls0 ws0">CADASTR<span class="_ _f"></span>O(SEGEPE)</div><div class="c x11 y7d w4 hc"><div class="t m0 x14 h9 y7e ff2 fs2 fc0 sc0 ls0 ws0">Falha na a<span class="_ _f"></span>nálise da cha cadast<span class="_ _f"></span>ral do </div><div class="t m0 x14 h9 y7f ff2 fs2 fc0 sc0 ls0 ws0">servidor(A20)</div></div><div class="t m0 x11 h9 y80 ff2 fs2 fc0 sc0 ls0 ws0">Não efe?var o<span class="_ _f"></span> registro nos as<span class="_ _f"></span>sentamentos </div><div class="t m0 x11 h9 y81 ff2 fs2 fc0 sc0 ls0 ws0">funcionais(A16)</div><div class="t m0 x23 h9 y82 ff2 fs2 fc0 sc0 ls0 ws0">Gestor <span class="_ _17"> </span>cer?car <span class="_ _17"> </span>nos <span class="_ _17"> </span>autos <span class="_ _17"> </span>que <span class="_ _17"> </span>o </div><div class="t m0 x23 h9 y83 ff2 fs2 fc0 sc0 ls0 ws0">registro <span class="_ _18"> </span>foi <span class="_ _18"> </span>feito <span class="_ _19"> </span>nos <span class="_ _18"> </span>assentamentos </div><div class="t m0 x23 h9 y84 ff2 fs2 fc0 sc0 ls0 ws0">funcionais. </div><div class="t m0 x25 h9 y85 ff2 fs2 fc0 sc0 ls0 ws0">SERP/</div><div class="t m0 xb h9 y86 ff2 fs2 fc0 sc0 ls0 ws0">CADASTR<span class="_ _f"></span>O(SEGEPE)</div><div class="c x11 y87 w5 hd"><div class="t m0 x14 he y88 ff2 fs3 fc0 sc0 ls0 ws0">Obs.: As designaçõe<span class="_ _f"></span>s (A<span class="ff4">n</span>) fazem referência às a<span class="_ _f"></span>?vidades do processo mapead<span class="_ _f"></span>o onde o risco foi iden?cado.</div></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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