Agility - Google Document AI Integration and Automation

Common Integration Use Cases Between Agility and Google Document AI

1. Automated Content Ingestion from Scanned Business Documents

Flow: Google Document AI ? Agility

Organizations can use Google Document AI to extract text, tables, and key fields from scanned PDFs, contracts, brochures, forms, and other business documents, then push the structured content into Agility for publishing or reuse across digital channels. This is especially useful for marketing teams that receive content in non-editable formats from agencies, legal teams, or partners.

• Reduces manual rekeying of document content into the CMS
• Speeds up publication of approved materials
• Improves consistency by converting unstructured files into structured content models

2. Product Information Extraction for Content-Rich Commerce Pages

Flow: Google Document AI ? Agility

Retail and manufacturing teams can process supplier catalogs, spec sheets, and product manuals with Google Document AI, then map extracted attributes into Agility content types for product landing pages, comparison pages, and support content. This helps teams publish accurate product information faster without waiting for manual data entry.

• Accelerates launch of new products and campaigns
• Improves product page completeness and searchability
• Supports centralized content management across web and mobile experiences

3. Policy, Compliance, and Regulatory Content Publishing

Flow: Google Document AI ? Agility

Legal and compliance teams can submit policy documents, regulatory notices, or updated terms and conditions to Google Document AI for extraction, then send the structured output to Agility for controlled publishing across websites and customer portals. This supports faster updates when regulations change and reduces the risk of publishing outdated content.

• Shortens turnaround time for mandatory content updates
• Creates a repeatable workflow between legal and marketing teams
• Helps maintain version-controlled, approved content in the CMS

4. Knowledge Base and Support Article Creation from Internal Documents

Flow: Google Document AI ? Agility

Customer support teams often maintain troubleshooting guides, onboarding manuals, and internal SOPs in PDF or scanned format. Google Document AI can extract the relevant sections and structure them for Agility, where content teams can transform them into searchable help articles, FAQs, or onboarding pages.

• Turns legacy documents into reusable digital content
• Improves self-service support experiences
• Reduces dependency on manual content conversion

5. Form and Application Content Processing for Dynamic Web Experiences

Flow: Google Document AI ? Agility

When organizations receive completed application forms, intake documents, or partner submissions, Google Document AI can extract the data and route it into Agility-managed workflows or content structures. Agility can then use the processed information to generate personalized confirmation pages, next-step instructions, or content updates for customer-facing portals.

• Supports faster turnaround for document-driven processes
• Enables dynamic content based on extracted document data
• Improves operational efficiency for intake-heavy teams

6. Content Governance and Approval Workflow Support

Flow: Google Document AI ? Agility

Teams can use Google Document AI to classify incoming documents such as press releases, partner collateral, or campaign assets, then route them into the correct Agility content workflow based on document type, department, or priority. This helps content operations teams manage approvals more efficiently and reduces misrouted content requests.

• Automates document classification before CMS entry
• Improves routing to the right content owners and approvers
• Supports scalable content operations across departments

7. Archival Document Digitization for Reuse in Digital Channels

Flow: Google Document AI ? Agility

Enterprises with large archives of printed reports, case studies, event materials, or historical publications can digitize those assets using Google Document AI and then repurpose the extracted content in Agility. This enables marketing teams to refresh legacy content for modern web experiences without recreating it from scratch.

• Unlocks value from archived content libraries
• Reduces content redevelopment effort
• Supports faster content repurposing for campaigns and SEO

8. Bi-Directional Workflow for Content Enrichment and Validation

Flow: Agility ? Google Document AI

Agility can store structured content while Google Document AI validates or enriches it by comparing uploaded source documents against published content. For example, a team can publish a page in Agility, then use Document AI to verify that the source contract, brochure, or compliance document matches the final web version before approval.

• Improves content accuracy and auditability
• Supports quality control for regulated or high-risk content
• Creates a closed-loop process between source documents and published content