{"id":10118,"date":"2026-07-23T06:23:57","date_gmt":"2026-07-23T06:23:57","guid":{"rendered":"https:\/\/mtpinternational.mx\/ai-governance\/"},"modified":"2026-10-13T19:12:23","modified_gmt":"2026-10-13T19:12:23","slug":"ai-governance","status":"publish","type":"page","link":"https:\/\/mtpinternational.mx\/en\/ai-governance\/","title":{"rendered":"AI Governance"},"content":{"rendered":"

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For CIOs, CDOs, CTOs, and leaders with AI initiatives<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Inter|700|||||||” text_text_color=”#000000″ text_font_size=”46px” text_line_height=”1.1em” header_font=”Inter|600|||||||” header_text_color=”#FFFFFF” header_font_size=”43px” custom_margin=”||0px||false|false” global_colors_info=”{}”]<\/p>\n

AI Governance: From uncontrolled adoption to a governed, traceable, and compliant model<\/h1>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_text_color=”#FFFFFF” text_font_size=”17px” text_orientation=”justified” custom_margin=”20px||20px||true|false” global_colors_info=”{}”]<\/p>\n

We design, implement, and operate the AI Governance model that turns risk into a controlled competitive advantage aligned with ISO\/IEC 42001 and the EU AI Act.<\/p>\n

[\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][et_pb_row_inner column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column_inner type=”1_2″ saved_specialty_column_type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_text=”Request AI Assessment” _builder_version=”4.27.7″ _module_preset=”default” custom_button=”on” button_text_size=”15px” button_text_color=”#FFFFFF” button_bg_color=”#F65F34″ button_border_width=”0px” button_border_radius=”100px” button_font=”Inter|700|||||||” background_layout=”dark” custom_padding=”15px|20px|15px|20px|true|true” locked=”off” global_colors_info=”{%22gcid-1229dcee-ea6a-4c3d-bd03-a8875c587516%22:%91%22button_text_color%22,%22button_text_color%22,%22button_text_color%22,%22button_text_color%22%93,%22gcid-primary-color%22:%91%22button_text_color%22,%22button_text_color%22%93}”][\/et_pb_button][\/et_pb_column_inner][et_pb_column_inner type=”1_2″ saved_specialty_column_type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/magnific__photo-a-group-of-6-people-average-age-25-working-i__95867-scaled.png” title_text=”magnific__photo-a-group-of-6-people-average-age-25-working-i__95867″ align=”center” disabled_on=”on|off|off” admin_label=”Image” _builder_version=”4.27.7″ _module_preset=”default” custom_margin=”|-6vw|||false|false” custom_padding=”||||false|false” border_radii=”on|15px|15px|15px|15px” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”_initial” text_font=”|700|||||||” text_text_color=”#333333″ text_font_size=”36px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”||0px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Trusted by organizations already governing their AI adoption with auditable evidence<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][dsm_image_carousel gallery_ids=”9763,9764,9765,9766,9767,9768,9769,10070,9771,9772,9773,9774,9775,9776,9777,9778,9779,9780,9781,9782,9783,9784,9785,9786,9787,9788,9789,9790,9791,9792,9793″ lazyload=”on” centered_slides=”on” slide_to_show=”6″ slide_to_scroll=”3″ speed=”1400″ autoplay_speed=”1110″ pause_on_hover=”on” space_between=”50″ arrows=”off” _builder_version=”4.27.6″ _module_preset=”default” custom_padding=”30px||20px||false|false” locked=”off” global_colors_info=”{}”][\/dsm_image_carousel][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Features” _builder_version=”4.27.6″ _module_preset=”default” background_enable_color=”off” background_enable_image=”off” background_position=”bottom_right” locked=”off” collapsed=”on” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” custom_css_main_element=”align-items:center;” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ header_2_text_align=”left” header_2_font_size=”31px” custom_margin=”||0px||false|false” global_colors_info=”{}”]<\/p>\n

The problem isn’t AI; it’s the lack of control<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” header_2_font=”Inter|700|||||||” header_2_font_size=”35px” custom_margin=”||||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n

AI is in your organization; control is not\u2014yet<\/h2>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_line_height=”1.4em” text_orientation=”justified” global_colors_info=”{}”]According to Gartner, most organizations adopting AI do so without a common framework to inventory systems, classify risks, assign responsibilities, or generate evidence. This leads to regulatory uncertainty, operational risk, and invisible shadow AI.[\/et_pb_text][et_pb_blurb title=”Shadow AI and Incomplete Inventory” use_icon=”on” font_icon=”||fa||900″ icon_color=”#1E9BB0″ image_icon_background_color=”RGBA(255,255,255,0)” icon_placement=”left” image_icon_width=”30px” _builder_version=”4.27.7″ _module_preset=”_initial” header_font=”|600|||||||” header_text_color=”#0a0a0a” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_align=”justify” body_font_size=”15px” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_radii_image=”on|50px|50px|50px|50px” border_width_all_image=”2px” border_color_all_image=”#1E9BB0″ locked=”off” global_colors_info=”{}”]<\/p>\n

Teams adopt AI tools on their own: Copilot, ChatGPT, code generators, proprietary models. The organization doesn’t know which AI systems it has, who uses them, for what purpose, or with what data. Without an inventory, governance is impossible. <\/p>\n

[\/et_pb_blurb][et_pb_blurb title=”Regulatory Pressure: AI Act + ISO\/IEC 42001″ use_icon=”on” font_icon=”||divi||400″ icon_color=”#1E9BB0″ image_icon_background_color=”RGBA(255,255,255,0)” icon_placement=”left” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”_initial” header_font=”|600|||||||” header_text_color=”#0a0a0a” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_align=”justify” body_font_size=”15px” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_radii_image=”on|50px|50px|50px|50px” border_width_all_image=”2px” border_color_all_image=”#1E9BB0″ locked=”off” global_colors_info=”{}”]<\/p>\n

The EU AI Act classifies AI systems by risk level and imposes obligations for documentation, impact assessments, and human oversight. Without a governance model, you cannot demonstrate compliance to regulators, auditors, or strategic clients. <\/p>\n

[\/et_pb_blurb][et_pb_blurb title=”AI That Doesn't Scale Without Control” use_icon=”on” font_icon=”||divi||400″ icon_color=”#1E9BB0″ image_icon_background_color=”RGBA(255,255,255,0)” icon_placement=”left” image_icon_width=”30px” _builder_version=”4.27.7″ _module_preset=”_initial” header_font=”|600|||||||” header_text_color=”#0a0a0a” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_align=”justify” body_font_size=”15px” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_radii_image=”on|50px|50px|50px|50px” border_width_all_image=”2px” border_color_all_image=”#1E9BB0″ locked=”off” global_colors_info=”{}”]<\/p>\n

Isolated AI projects, without decision traceability, measurable ROI, or coordination between business, technology, data, and security. AI grows as accumulated technical and regulatory debt that hinders scalability and trust. <\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/07\/MTP-QA-QE-Servicios-Mexico-1.jpg” title_text=”MTP-QA-QE-Services-Mexico-1″ align=”center” _builder_version=”4.27.7″ _module_preset=”default” max_width=”90%” custom_margin=”||||false|false” border_radii=”on|15px|15px|15px|15px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_line_height=”1.4em” text_orientation=”justified” global_colors_info=”{}”]<\/p>\n

The common pattern:<\/strong> organizations prioritize the speed of AI adoption over control. When an audit, regulatory requirement, or incident occurs, they lack the inventory, evidence, and identified stakeholders to respond. <\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Call to Action” _builder_version=”4.27.6″ _module_preset=”default” background_image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/QA-Testing-MTP3-1.png” background_size=”custom” background_image_width=”25%” background_position=”bottom_left” locked=”off” collapsed=”on” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ text_letter_spacing=”6px” header_2_text_align=”left” header_2_font_size=”32px” text_orientation=”center” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}” header_2_text_color__hover_enabled=”off|desktop”]The Real Cost of Inaction[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” header_2_font=”Inter|700|||||||” header_2_text_align=”center” header_2_font_size=”35px” custom_margin=”||||false|false” custom_padding=”15px||10px||false|false” global_colors_info=”{}”]<\/p>\n

Regulatory Risk, Shadow AI, and Decisions Without Traceability<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” custom_css_main_element=”align-items:center” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.7″ _module_preset=”default” background_color=”#032442″ custom_padding=”35px|30px|35px|30px|true|true” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_font_size=”50px” text_line_height=”0.6em” global_colors_info=”{}”]60%<\/span><\/strong><\/p>\n

Of organizations lack a complete inventory of their AI systems in production<\/span>
\n– Gartner 2025, without inventory there is no governance possible<\/span><\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_font_size=”13px” text_line_height=”1.2em” background_color=”#FFFFFF” custom_padding=”5px||5px||true|false” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”]<\/p>\n\n\n\n
35M<\/span><\/strong><\/td>\n\n

Maximum EU AI Act fines,
<\/strong>for high-risk AI systems: up to \u20ac35 million or 7% of total worldwide annual turnover, whichever is higher<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_font_size=”13px” text_line_height=”1.2em” background_color=”#FFFFFF” custom_padding=”5px||5px||true|false” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”]<\/p>\n\n\n\n
$1B<\/span><\/strong><\/td>\n\n

Projected AI compliance spending by 2030
<\/strong>Gartner estimates that global spending on AI regulatory compliance will exceed $1 billion before 2030 (Gartner)<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Poppins||||||||” text_font_size=”13px” text_line_height=”1.2em” background_color=”#FFFFFF” custom_padding=”5px||5px||true|false” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”]<\/p>\n\n\n\n
+38<\/span><\/strong><\/td>\n\n

U.S. states with proposed or enacted AI laws
<\/strong>without a federal standard, the global regulatory patchwork is accelerating<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.19.2″ _module_preset=”default” custom_padding_tablet=”0vw||||false|false” custom_padding_phone=”0vw||||false|false” custom_padding_last_edited=”off|desktop” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.8″ _module_preset=”_initial” text_font=”Inter|700|||||||” text_text_color=”#333333″ text_font_size=”25px” text_line_height=”1.4em” hover_enabled=”0″ locked=”off” global_colors_info=”{}” text_orientation=”justified” sticky_enabled=”0″]<\/p>\n

<\/strong>Where does the real cost appear in your organization?<\/p>\n

[\/et_pb_text][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

Regulatory non-compliance.<\/strong> Exposure to sanctions from the AI Act, ISO\/IEC 42001, and sector-specific regulations without auditable evidence or risk classification.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

Uncontrolled Shadow AI.<\/strong> AI tools adopted without oversight, usage policies, data control, or identified stakeholders.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

Decisions without traceability.<\/strong> Systems that make or assist in critical decisions without logs, documented human oversight, or explainability mechanisms.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

Loss of trust and ROI.<\/strong> Without governance, it is impossible to measure the value of AI, prioritize investments by risk\/viability, or justify ROI to the business and executives.<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” locked=”off” global_colors_info=”{}” text_orientation=”justified”]<\/p>\n

Lack of identified stakeholders.<\/strong> Without a RACI matrix or governance committee, no one has the authority or obligation to respond when something fails.<\/p>\n

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AI that doesn’t scale without control.<\/strong> Isolated projects, lacking coordination between business, technology, data, and security, which accumulate technical and regulatory debt.<\/p>\n

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AI Governance: Diagnosis \u00b7 Design \u00b7 Implementation \u00b7 Operation<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”|700|||||||” text_text_color=”#FFFFFF” text_font_size=”36px” text_line_height=”1.1em” header_font_size=”31px” header_2_font=”Inter|700|||||||” header_2_text_align=”justify” header_2_text_color=”#FFFFFF” header_2_font_size=”32px” text_orientation=”center” custom_margin=”||||false|false” global_colors_info=”{}”]<\/p>\n

E2E AI Governance: Not just policies, but real operation<\/h2>\n

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The MTP approach combines governance, compliance, risk, quality, and real operation into a single service. We don’t stop at defining policies: we operationalize the model through processes, roles, controls, evidence, KPIs, committees, and continuous improvement. <\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” custom_css_main_element=”align-items:center” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”RGBA(255,255,255,0)” global_colors_info=”{}”][et_pb_image src=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/07\/MTP-QA-QE-Servicios-Mexico-12.jpg” title_text=”MTP-QA-QE-Servicios-Mexico-12″ align=”right” admin_label=”Image” _builder_version=”4.27.7″ _module_preset=”default” custom_margin=”|6vw|||false|false” custom_padding=”||||false|false” border_radii=”on|15px|15px|15px|15px” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.18.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion open_toggle_text_color=”#FFFFFF” open_toggle_background_color=”rgba(255,255,255,0.19)” closed_toggle_text_color=”#FFFFFF” closed_toggle_background_color=”RGBA(255,255,255,0.19)” toggle_icon=”;||divi||400″ icon_color=”#f65f34″ use_icon_font_size=”on” icon_font_size=”20px” _builder_version=”4.27.8″ _module_preset=”default” toggle_text_color=”#FFFFFF” toggle_font=”|700|||||||” body_font=”Poppins||||||||” body_text_color=”#FFFFFF” hover_enabled=”0″ border_radii=”on|15px|15px|15px|15px” border_width_all=”0px” locked=”off” global_colors_info=”{}” text_orientation=”justified” sticky_enabled=”0″][et_pb_accordion_item title=”Beyond Policies: Real Operational Governance” open=”on” _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”]AI system inventory, risk classification, impact assessments, RACI matrix, control catalog, auditable evidence, KPIs, and dashboards. The model works; it doesn’t just exist in a document.[\/et_pb_accordion_item][et_pb_accordion_item title=”Native Regulatory Alignment by Design” _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}” open=”off”]The AI Act and ISO\/IEC 42001 are complementary: the former establishes regulatory obligations, while the latter structures the internal management system. MTP integrates them from the model’s design, not as layers added at the end.[\/et_pb_accordion_item][et_pb_accordion_item title=”AI Governance Office with Operational Capability” _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}” open=”off”]MTP can operate the governance model: reviewing new use cases, classifying risks, issuing recommendations, updating evidence, addressing deviations, and generating periodic reports. Centralized, federated, or hybrid.[\/et_pb_accordion_item][et_pb_accordion_item title=”No Vendor Lock-in, Adapted to Your Real Maturity” _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}” open=”off”]The governance model is designed independently of the AI tools used. It integrates with existing GRC, MLOps, CMDB, observability, and dashboards without imposing additional platforms.[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” background_image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/QA-Testing-MTP3-1.png” background_size=”custom” background_image_width=”25%” background_position=”bottom_left” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ text_letter_spacing=”6px” header_2_text_align=”left” header_2_font_size=”32px” text_orientation=”center” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}” header_2_text_color__hover_enabled=”off|desktop”]<\/p>\n

What You Get with AI Governance<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” header_2_font=”Inter|700|||||||” header_2_text_align=”center” header_2_font_size=”35px” custom_margin=”||||false|false” custom_padding=”15px||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

From Uncontrolled Adoption to a Governed and Auditable Model<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.7″ _module_preset=”default” background_color=”#FFFFFF” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_width_all=”1px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_blurb title=”Inventory and Classification of AI Systems” use_icon=”on” font_icon=”||fa||900″ icon_color=”#1E9BB0″ image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” icon_alignment=”left” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Poppins|600|||||||” header_text_color=”gcid-143aa564-2dbe-4a69-aba4-6587f516793c” header_font_size=”20px” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_align=”justify” body_text_color=”gcid-heading-color” body_letter_spacing=”0em” body_line_height=”1.1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#FFFFFF” global_colors_info=”{%22gcid-heading-color%22:%91%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22%93,%22gcid-143aa564-2dbe-4a69-aba4-6587f516793c%22:%91%22header_text_color%22,%22header_text_color%22%93}”]<\/p>\n

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A complete catalog of AI systems, models, data, and providers, classified by risk level in accordance with the AI Act and ISO\/IEC 42001.<\/p>\n<\/div>\n

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AI usage policies, guidelines by use case, approval processes with gates, responsible use criteria, and operational ethical principles.<\/p>\n<\/div>\n

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A complete RACI matrix, AI governance committee proposal, Head of AI Governance profiles, and definition of decision rights by risk level.<\/p>\n<\/div>\n

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Control catalog, evidence logs per initiative, impact assessment documentation, and traceability of human oversight decisions.<\/p>\n<\/div>\n

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Governance dashboard with indicators for maturity, coverage, compliance, incidents, deviations, and the value of AI initiatives per cycle.<\/p>\n<\/div>\n

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A roadmap prioritized by risk and value, a training and awareness plan, and a continuous improvement model for AI governance, sprint by sprint.<\/p>\n<\/div>\n

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FROM DIAGNOSIS TO OPERATION: MTP’S 6 STEPS TO AI GOVERNANCE<\/p>\n

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E2E process from initial Quick Assessment to continuous model operation<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.7″ _module_preset=”default” background_color=”rgba(255,255,255,0.03)” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_blurb title=”Maturity and Risk Diagnosis” use_icon=”on” font_icon=”d||divi||400″ icon_color=”#F65F34″ image_icon_width=”40px” icon_alignment=”left” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”left” header_text_color=”#FFFFFF” header_font_size=”17px” body_font=”Poppins||||||||” body_text_align=”justify” body_text_color=”#FFFFFF” body_font_size=”15px” body_line_height=”1.4em” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n

Initial inventory of AI initiatives, maturity analysis of current governance, identification of priority risks, regulatory gaps, and implementation roadmap. Deliverable in 5 days. <\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”rgba(255,255,255,0.03)” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_blurb title=” Inventory and Classification of AI Systems” use_icon=”on” font_icon=”s||divi||400″ icon_color=”#F65F34″ image_icon_width=”40px” icon_alignment=”left” _builder_version=”4.27.6″ _module_preset=”_initial” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”left” header_text_color=”#FFFFFF” header_font_size=”17px” body_font=”Poppins||||||||” body_text_align=”justify” body_text_color=”#FFFFFF” body_font_size=”15px” body_line_height=”1.4em” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Complete inventory of AI systems, models, data, providers, and components. Classification by risk level according to the AI Act (unacceptable, high, limited, minimal) and ISO\/IEC 42001. <\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”rgba(255,255,255,0.03)” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_blurb title=”Operating Model Design” use_icon=”on” font_icon=”||divi||400″ icon_color=”#F65F34″ image_icon_width=”40px” icon_alignment=”left” _builder_version=”4.27.6″ _module_preset=”_initial” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”left” header_text_color=”#FFFFFF” header_font_size=”17px” body_font=”Poppins||||||||” body_text_align=”justify” body_text_color=”#FFFFFF” body_font_size=”15px” body_line_height=”1.4em” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Responsible use policies and criteria, ideation\/approval\/monitoring processes, RACI matrix, AI governance committee proposal, control and evidence catalog, and governance KPIs.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”rgba(255,255,255,0.03)” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_blurb title=”Implementation and Deployment” use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ image_icon_width=”40px” icon_alignment=”left” _builder_version=”4.27.6″ _module_preset=”_initial” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”left” header_text_color=”#FFFFFF” header_font_size=”17px” body_font=”Poppins||||||||” body_text_align=”justify” body_text_color=”#FFFFFF” body_font_size=”15px” body_line_height=”1.4em” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n

Deployment of the operating model within the organization: training for key roles, activation of use case approval processes, dashboard configuration, and integration with GRC, MLOps, and CMDB.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”rgba(255,255,255,0.03)” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_blurb title=”AI PMO Activation” use_icon=”on” font_icon=”||fa||400″ icon_color=”#F65F34″ image_icon_width=”40px” icon_alignment=”left” _builder_version=”4.27.6″ _module_preset=”_initial” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”left” header_text_color=”#FFFFFF” header_font_size=”17px” body_font=”Poppins||||||||” body_text_align=”justify” body_text_color=”#FFFFFF” body_font_size=”15px” body_line_height=”1.4em” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Launch of the AI Governance Office or AI PMO: first committee meeting, first review cycle of active use cases, activation of governance KPIs, and first executive report.<\/p>\n

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Review of new use cases, risk classification, evidence updates, deviation management, periodic monitoring reports, and continuous improvement of the governance model sprint by sprint.<\/p>\n

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Use Cases<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”_initial” header_2_font=”Inter|600|||||||” header_2_font_size=”42px” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

AI Governance Implemented in Real Environments<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.27.7″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.7″ _module_preset=”default” background_color=”#FFFFFF” custom_padding=”30px|20px|30px|20px|true|true” border_radii=”on|12px|12px|12px|12px” border_width_all=”1px” border_color_all=”#E4EBEE” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”_initial” text_font=”|600||on|||||” text_text_color=”#1E9BB0″ text_font_size=”12px” background_color=”rgba(30,155,176,0.13)” max_width=”32%” custom_padding=”|5px||5px|false|true” border_radii=”on|12px|12px|12px|12px” global_colors_info=”{}”]<\/p>\n

Financial Sector<\/p>\n

[\/et_pb_text][et_pb_blurb title=”AI Governance for 40+ tools implemented in 3 months with audit-ready evidence” image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.7″ _module_preset=”_initial” header_level=”h3″ header_font=”Inter|600|||||||” header_font_size=”22px” header_letter_spacing=”0em” body_font=”Poppins||||||||” body_text_color=”gcid-heading-color” body_letter_spacing=”0em” body_line_height=”1.4em” body_ul_line_height=”1.5em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#FFFFFF” global_colors_info=”{%22gcid-heading-color%22:%91%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22%93}”]<\/p>\n

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