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Data flow: OpenText Extended ECM Platform ? ChatGPT ? OpenText Extended ECM Platform
When new contracts, policies, invoices, or project documents are added to OpenText Extended ECM, ChatGPT can analyze the content and suggest document type, department, project name, client name, retention category, and other metadata fields. The enriched metadata is then written back into Extended ECM to improve search, governance, and lifecycle management.
Business value: Reduces manual indexing effort, improves consistency in records management, and speeds up document retrieval across teams.
Data flow: OpenText Extended ECM Platform ? ChatGPT ? OpenText Extended ECM Platform
Long documents stored in Extended ECM, such as legal agreements, audit reports, project charters, or policy updates, can be sent to ChatGPT for concise summaries. The summary can be stored as a companion note, abstract, or preview field in Extended ECM for faster review by managers, legal teams, and business users.
Business value: Helps stakeholders quickly understand document content without reading full files, accelerating approvals and decision-making.
Data flow: OpenText Extended ECM Platform ? ChatGPT ? OpenText Extended ECM Platform
Legal and procurement teams can use ChatGPT to review contracts stored in Extended ECM and identify non-standard clauses, missing terms, renewal risks, indemnity concerns, or obligations that require attention. The results can be written back as comments, review notes, or workflow tasks in Extended ECM.
Business value: Supports faster contract review cycles, improves compliance oversight, and reduces the chance of overlooking risky language.
Data flow: OpenText Extended ECM Platform ? ChatGPT ? User
ChatGPT can act as a conversational layer on top of Extended ECM content, allowing employees to ask natural language questions such as ?Show me the latest approved travel policy? or ?Summarize the key obligations in this supplier agreement.? ChatGPT retrieves or interprets relevant content from Extended ECM and returns a plain-language answer with links to source documents.
Business value: Improves self-service access to enterprise knowledge and reduces dependency on subject matter experts for routine information requests.
Data flow: OpenText Extended ECM Platform ? ChatGPT ? OpenText Extended ECM Platform
Teams can use approved templates, prior agreements, policy documents, or project artifacts stored in Extended ECM as input for ChatGPT to generate first drafts of new documents. For example, HR can draft policy updates, procurement can draft supplier communications, and project teams can draft status reports based on existing content and structured inputs.
Business value: Shortens document creation time, improves reuse of approved language, and helps standardize business communications.
Data flow: Bi-directional
OpenText Extended ECM can trigger ChatGPT when a document enters a review or approval workflow. ChatGPT can generate a plain-language explanation of the document, highlight key changes from the previous version, or draft reviewer comments. Review outcomes or suggested edits can then be returned to Extended ECM to support the approval process.
Business value: Makes review cycles more efficient, especially for non-technical approvers, and helps teams focus on exceptions rather than routine reading.
Data flow: OpenText Extended ECM Platform ? ChatGPT ? User
Organizations can expose controlled policy and procedure content from Extended ECM to ChatGPT so employees can ask questions about HR policies, security procedures, travel rules, or operational standards. ChatGPT responds using the approved source content and can direct users to the official document stored in Extended ECM.
Business value: Reduces repetitive questions to HR, compliance, and operations teams while improving policy awareness and adherence.
Data flow: OpenText Extended ECM Platform ? ChatGPT ? OpenText Extended ECM Platform
During content migration, consolidation, or repository cleanup, ChatGPT can help analyze legacy documents in Extended ECM and identify duplicates, outdated versions, inconsistent naming, or missing metadata. It can also suggest standardized titles, summaries, and classification values before content is reorganized or archived.
Business value: Improves content quality, supports governance initiatives, and reduces manual effort in large-scale repository rationalization projects.