{"id":260449,"date":"2026-04-22T01:01:40","date_gmt":"2026-04-21T23:01:40","guid":{"rendered":"https:\/\/www.sheetgo.com\/?page_id=260449"},"modified":"2026-05-18T21:57:00","modified_gmt":"2026-05-18T19:57:00","slug":"ai-prontos-os-dados","status":"publish","type":"page","link":"https:\/\/www.sheetgo.com\/pt\/enterprise\/ai-ready-data\/","title":{"rendered":"Dados Prontos para IA"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_type=&#8221;circular&#8221; background_color_gradient_direction_radial=&#8221;top right&#8221; background_color_gradient_stops=&#8221;#d9e7ff 7%|#ebe4f9 15%|#ffffff 25%|#ffffff 50%|#ffffff 100%&#8221; custom_padding=&#8221;70px||70px||true|false&#8221; da_disable_devices=&#8221;off|off|off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_css_main_element=&#8221;align-items: center;&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_class=&#8221;section-title&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;|300|||||||&#8221; header_text_color=&#8221;#003999&#8243; header_font_size=&#8221;16px&#8221; header_2_font=&#8221;|300|||||||&#8221; header_2_text_color=&#8221;#003999&#8243; header_2_font_size=&#8221;16px&#8221; background_color=&#8221;#d9e7ff&#8221; custom_padding=&#8221;8px|10px|8px|10px|true|true&#8221; custom_css_main_element=&#8221;width: fit-content;&#8221; border_radii=&#8221;on|15px|15px|15px|15px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>AI-Ready Data<\/h1>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;|800|||||||&#8221; header_2_font_size=&#8221;50px&#8221; header_2_line_height=&#8221;0.9em&#8221; header_3_font=&#8221;|800|||||||&#8221; header_3_font_size=&#8221;50px&#8221; header_3_line_height=&#8221;0.9em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Grounded data for your AI agents, from the spreadsheets your teams actually use.<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]Sheetgo Enterprise turns the chaos of everyday spreadsheets \u2014 Sheets, Excel, CSVs \u2014 into a governed, schema-stable layer your LLMs, Gemini agents, and MCP workflows can trust. No more hallucinations on <span style=\"display:inline-flex;align-items:center;gap:6px;background:#e8f5ee;padding:2px 8px;border-radius:4px;font-family:SFMono-Regular,Menlo,Consolas,'Liberation Mono',monospace;font-size:0.92em;font-weight:600;color:#1f2937;vertical-align:baseline;\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><rect x=\"3\" y=\"3\" width=\"18\" height=\"18\" rx=\"3\" fill=\"#1e7e43\"\/><path d=\"M8.5 8l7 8M8.5 16l7-8\" stroke=\"#ffffff\" stroke-width=\"2.2\" stroke-linecap=\"round\"\/><\/svg>Q3_Final_v4.xlsx<\/span>. 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_builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_text_color=&#8221;#003999&#8243; text_font_size=&#8221;16px&#8221; header_font=&#8221;|300|||||||&#8221; header_text_color=&#8221;#003999&#8243; header_font_size=&#8221;16px&#8221; header_2_font=&#8221;|300|||||||&#8221; header_2_text_align=&#8221;center&#8221; header_2_text_color=&#8221;#003999&#8243; header_2_font_size=&#8221;16px&#8221; background_color=&#8221;#d9e7ff&#8221; custom_padding=&#8221;8px|10px|8px|10px|true|true&#8221; custom_css_main_element=&#8221;width: fit-content;||margin: 0 auto;&#8221; border_radii=&#8221;on|15px|15px|15px|15px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>How it works<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_orientation=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>How Sheetgo makes your spreadsheet data AI-ready<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_orientation=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Four stages, one clean pipeline \u2014 from raw files to agent-ready context.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,1_4,1_4,1_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||150px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_blurb title=&#8221;Normalize&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf51a;||fa||900&#8243; icon_color=&#8221;#800024&#8243; image_icon_width=&#8221;64px&#8221; icon_alignment=&#8221;left&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Clean inconsistent headers, collapse duplicate files, and lock in a schema your AI can actually follow.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_blurb title=&#8221;Govern&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf3ed;||fa||900&#8243; icon_color=&#8221;#800024&#8243; image_icon_width=&#8221;64px&#8221; icon_alignment=&#8221;left&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Permissions, audit logs, and lineage \u2014 so every row has a known origin before it reaches a model.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_blurb title=&#8221;Ground&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf1c0;||fa||900&#8243; icon_color=&#8221;#800024&#8243; image_icon_width=&#8221;64px&#8221; icon_alignment=&#8221;left&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">Land prepared datasets in BigQuery for RAG, vector stores, or direct agent access, with no glue code.<\/span><\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_blurb title=&#8221;Serve&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf544;||fa||900&#8243; icon_color=&#8221;#800024&#8243; image_icon_width=&#8221;64px&#8221; icon_alignment=&#8221;left&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Native Gemini Enterprise and MCP interfaces \u2014 your agents query spreadsheet data through the same protocol they query everything else.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_css_main_element=&#8221;align-items: center;&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_class=&#8221;section-title&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;|300|||||||&#8221; header_text_color=&#8221;#003999&#8243; header_font_size=&#8221;16px&#8221; header_2_font=&#8221;|300|||||||&#8221; header_2_text_color=&#8221;#003999&#8243; header_2_font_size=&#8221;16px&#8221; background_color=&#8221;#d9e7ff&#8221; custom_padding=&#8221;8px|10px|8px|10px|true|true&#8221; custom_css_main_element=&#8221;width: fit-content;&#8221; border_radii=&#8221;on|15px|15px|15px|15px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Solution<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;|800|||||||&#8221; header_2_font_size=&#8221;50px&#8221; header_2_line_height=&#8221;0.9em&#8221; header_3_font=&#8221;|800|||||||&#8221; header_3_font_size=&#8221;50px&#8221; header_3_line_height=&#8221;0.9em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Stop your AI from hallucinating on your spreadsheets<\/h2>\n<p>[\/et_pb_text][et_pb_blurb title=&#8221;Clean source layer&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf0b0;||fa||900&#8243; icon_color=&#8221;#800024&#8243; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;30px&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; header_font_size=&#8221;22px&#8221; image_icon_custom_margin=&#8221;11px||||false|false&#8221; custom_margin=&#8221;||5px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]Connect and transform data between Sheets, Excel, CSVs, and BigQuery \u2013 no coding needed.[\/et_pb_blurb][et_pb_blurb title=&#8221;Works where your data already lives&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf0c2;||fa||900&#8243; icon_color=&#8221;#800024&#8243; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;30px&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; header_font_size=&#8221;22px&#8221; image_icon_custom_margin=&#8221;11px||||false|false&#8221; custom_margin=&#8221;||5px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OneDrive, SharePoint, Dropbox, Google Workspace \u2014 the permissions your security team approved stay intact.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;BigQuery grounding&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf542;||fa||900&#8243; icon_color=&#8221;#800024&#8243; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;30px&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; header_font_size=&#8221;22px&#8221; image_icon_custom_margin=&#8221;11px||||false|false&#8221; custom_margin=&#8221;||5px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Pipe prepared datasets straight into BigQuery for RAG, vector indexing, or direct agent context.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Gemini &#038; MCP native&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf544;||fa||900&#8243; icon_color=&#8221;#800024&#8243; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;30px&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; header_font_size=&#8221;22px&#8221; image_icon_custom_margin=&#8221;11px||||false|false&#8221; custom_margin=&#8221;||5px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Expose spreadsheet data to Gemini Enterprise and MCP-compatible agents without building custom integrations.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Every change versioned&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf1da;||fa||900&#8243; icon_color=&#8221;#800024&#8243; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;30px&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; header_font_size=&#8221;22px&#8221; image_icon_custom_margin=&#8221;11px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Schema evolution and transformation logs \u2014 so when your AI says something, you can prove where it came from.<\/p>\n<p>[\/et_pb_blurb][et_pb_button button_url=&#8221;https:\/\/www.sheetgo.com\/demo\/&#8221; button_text=&#8221;Book a Demo&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;16px&#8221; button_text_color=&#8221;#FFFFFF&#8221; button_bg_color=&#8221;#2979FF&#8221; button_border_width=&#8221;0px&#8221; button_border_color=&#8221;#2979FF&#8221; button_border_radius=&#8221;6px&#8221; button_font=&#8221;|600|||||||&#8221; button_use_icon=&#8221;off&#8221; custom_padding=&#8221;15px|20px|15px|20px|true|false&#8221; 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_builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_type=&#8221;circular&#8221; background_color_gradient_direction_radial=&#8221;right&#8221; background_color_gradient_stops=&#8221;#d9e7ff 5%|#ebe4f9 15%|#ffffff 30%|#ffffff 100%&#8221; custom_padding=&#8221;70px||70px||true|false&#8221; da_disable_devices=&#8221;off|off|off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_css_main_element=&#8221;align-items: center;&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_class=&#8221;section-title&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;|300|||||||&#8221; header_text_color=&#8221;#003999&#8243; header_font_size=&#8221;16px&#8221; header_2_font=&#8221;|300|||||||&#8221; header_2_text_color=&#8221;#003999&#8243; header_2_font_size=&#8221;16px&#8221; background_color=&#8221;#d9e7ff&#8221; custom_padding=&#8221;8px|10px|8px|10px|true|true&#8221; custom_css_main_element=&#8221;width: fit-content;&#8221; border_radii=&#8221;on|15px|15px|15px|15px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Security<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;|800|||||||&#8221; header_2_font_size=&#8221;50px&#8221; header_2_line_height=&#8221;0.9em&#8221; header_3_font=&#8221;|800|||||||&#8221; header_3_font_size=&#8221;50px&#8221; header_3_line_height=&#8221;0.9em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Industry-leading compliance<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Trusted by over 6 million users in companies of all sizes, Sheetgo complies with SOC 2 Type II, GDPR, and CASA Tier 3. It is a top Google Workspace Recommended solution and is available on the Google Cloud Marketplace for easy procurement compliance.<\/p>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/www.sheetgo.com\/security\/&#8221; button_text=&#8221;Learn more about Enterprise security \u2197&#8221; button_alignment_tablet=&#8221;center&#8221; button_alignment_phone=&#8221;center&#8221; button_alignment_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;16px&#8221; button_text_color=&#8221;#2979FF&#8221; button_border_width=&#8221;0px&#8221; button_border_color=&#8221;#2979FF&#8221; button_border_radius=&#8221;6px&#8221; button_font=&#8221;|600|||||||&#8221; button_use_icon=&#8221;off&#8221; custom_margin=&#8221;|30px|||false|false&#8221; custom_margin_tablet=&#8221;|30px|||false|false&#8221; custom_margin_phone=&#8221;|30px|||false|false&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; 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_module_preset=&#8221;default&#8221; custom_margin=&#8221;50px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.24.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_class=&#8221;section-title&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;|300|||||||&#8221; header_text_color=&#8221;#003999&#8243; header_font_size=&#8221;16px&#8221; header_2_font=&#8221;|300|||||||&#8221; header_2_text_color=&#8221;#003999&#8243; header_2_font_size=&#8221;16px&#8221; background_color=&#8221;#d9e7ff&#8221; custom_padding=&#8221;8px|10px|8px|10px|true|true&#8221; custom_css_main_element=&#8221;width: fit-content;&#8221; border_radii=&#8221;on|15px|15px|15px|15px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Frequently Asked Question<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Dive deeper into AI-Ready Data<\/h3>\n<p>How grounding works, which agents we support, and what security looks like.[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][difl_faq enable_schema=&#8221;on&#8221; close_icon_color=&#8221;#82afff&#8221; close_icon_size=&#8221;28px&#8221; open_icon_color=&#8221;#82afff&#8221; faq_anime_duration=&#8221;200&#8243; faq_item_wrapper_bg_bgcolor=&#8221;#f3f7fc&#8221; que_text_margin=&#8221;10px|20px|10px|20px|true|true&#8221; ans_text_padding=&#8221;0px|20px|10px|20px|false|true&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; question_text_font=&#8221;|600|||||||&#8221; question_text_font_size=&#8221;19px&#8221; design_answer_text_font=&#8221;|300|||||||&#8221; design_answer_text_font_size=&#8221;16px&#8221; design_answer_text_line_height=&#8221;1.6em&#8221; border_radii_faq_item_wrapper_border=&#8221;on|12px|12px|12px|12px&#8221; border_color_all_faq_item_wrapper_border=&#8221;#deeaf7&#8243; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;][difl_faqitem question=&#8221;What does AI-ready actually mean?&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>Your spreadsheet data has been normalized, governed, and made schema-stable so AI agents (Gemini, MCP, or custom) can retrieve it without hallucinating on duplicate files or stale formulas. Your agents see one trusted dataset \u2014 not Q3_Final_v4.xlsx.<\/p>\n<p>[\/difl_faqitem][difl_faqitem question=&#8221;Which AI agents and protocols are supported?&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>Sheetgo&#8217;s AI-Ready layer exposes data to Gemini Enterprise, MCP-compatible agents, and any system that can query BigQuery or an open API. ADK integration is on the near-term roadmap.<\/p>\n<p>[\/difl_faqitem][difl_faqitem question=&#8221;How is this different from just connecting my spreadsheets to an LLM directly?&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>A raw connection hands the LLM a dozen messy files \u2014 it hallucinates because it can&#8217;t tell which is authoritative. Sheetgo is the clean layer in between: normalized schemas, enforced permissions, versioned changes, and BigQuery-ready output.<\/p>\n<p>[\/difl_faqitem][difl_faqitem question=&#8221;Do I need BigQuery to use AI-Ready data?&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>No. BigQuery is the preferred landing zone for RAG and agent context, but Sheetgo can also serve prepared datasets via API or direct Google Sheets \/ Excel access.<\/p>\n<p>[\/difl_faqitem][difl_faqitem question=&#8221;How is data security handled in the AI-Ready layer?&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>The same compliance posture as the rest of Sheetgo: SOC 2 Type II, GDPR, CASA Tier 3. Source-system permissions (SharePoint, Drive, OneDrive) are preserved, and every transformation is logged for audit.<\/p>\n<p>[\/difl_faqitem][difl_faqitem question=&#8221;What about schema changes? My spreadsheets change every month.&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>Schema evolution is tracked \u2014 when columns are added, renamed, or removed, Sheetgo versions the change so AI outputs stay traceable to a known state.<\/p>\n<p>[\/difl_faqitem][difl_faqitem question=&#8221;Is AI-Ready Data a separate product, or part of Enterprise?&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>It&#8217;s part of <a href=\"https:\/\/www.sheetgo.com\/enterprise\/\">Sheetgo Enterprise<\/a> \u2014 a capability of the Enterprise tier, not a standalone product.<\/p>\n<p>[\/difl_faqitem][difl_faqitem question=&#8221;How long does a typical AI-Ready rollout take?&#8221; question_title_tag=&#8221;h3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; design_answer_text_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221; que_wrapper_bg_bgcolor__hover=&#8221;1px||||false|false&#8221; que_wrapper_bg_bgcolor__hover_enabled=&#8221;on|hover&#8221;]<\/p>\n<p>A pilot with a single department&#8217;s data can be up and running in under two weeks. Larger multi-department deployments take longer depending on governance review. <a href=\"https:\/\/www.sheetgo.com\/demo\/\">Book a demo<\/a> to scope your rollout.<\/p>\n<p>[\/difl_faqitem][\/difl_faq][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI-Ready DataGrounded data for your AI agents, from the spreadsheets your teams actually use.Sheetgo Enterprise turns the chaos of everyday spreadsheets \u2014 Sheets, Excel, CSVs \u2014 into a governed, schema-stable layer your LLMs, Gemini agents, and MCP workflows can trust. No more hallucinations on Q3_Final_v4.xlsx. No more stale formulas in AI outputs.Trusted by\u00a0companies large and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":255333,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"difl_page_category":[],"class_list":["post-260449","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/pages\/260449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/comments?post=260449"}],"version-history":[{"count":0,"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/pages\/260449\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/pages\/255333"}],"wp:attachment":[{"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/media?parent=260449"}],"wp:term":[{"taxonomy":"difl_page_category","embeddable":true,"href":"https:\/\/www.sheetgo.com\/pt\/wp-json\/wp\/v2\/difl_page_category?post=260449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}