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Additionally, AI Assistant can generate caller intent for incoming calls (e.g., When on a call with client and that call needs to be transferred to another staff in the office, they will be able to see the content/summary which will help with saving time and better client experience as they don't want to ask client to start over again).", + "Validated Use of Model": null, + "Aligned PE Expiration Date": null, + "Downstream Model": null, + "Retirement reason": null, + "Model Developer Group": "Other", + "Compliance Requirements": null, + "User Category": "Internal", + "Model Attestation for inventory": "False", + "ELT": "Gerard Smyth", + "Model Sponsor support": null, + "Validation VP": null, + "FSV Anniversary date": null, + "Certification Completion Date": null, + "Model Use Flag": null, + "Related to insurance business": null, + "Model Owner": "Antony, Leemon 2", + "Model Attestation Status": "Pending", + "Model Category": [ + { + "label": "Quantities", + "value": "Quantities" + } + ], + "Lifecycle Status": "Model Identification & Risk Tiering", + "Model Usages": "Other", + "Actual Production Date": null, + "Planned Production Date": null, + "Vendor Model": null, + "AIML Model": "Yes", + "Date of Last Annual Review": null, + "Date of Independent Validation": null, + "Model Sponsor": "Doherty, Bryan P", + "Open Policy Exception": "No", + "Open Findings": null, + "Vendor Name": "CISCO", + "Vendor ID": null, + "Vendor Company": null, + "Date of Last Full Validation": null, + "Validation Owner": null, + "Validation Type": "Initial Validation (Full Scope Validation)", + "Date of Next Full Validation": null, + "Validation Director": null, + "Model Status": "In Use", + "Model Developer": "Antony, Leemon 2", + "Model Certification Status": "Pending", + "Final ModelTool Determination": null, + "AIML Technique Commentary": "Cisco uses GPT-4 mini via the Microsoft Azure OpenAI Services API", + "Generative AI Justification": "Generative AI is used to create call summaries", + "Vendor Developed": "Yes", + "Asset ID in CMDB": "A1606810", + "Active Policy Exception": "No", + "CDO": "Ellery Heineimi", + "Bright Idea ID": "AI-19142", + "Current Risk Tier": "Not Applicable", + "Business Unit": "Technology and Service", + "Attestation Completion Date": null, + "Governance Ownership": null, + "created_at": "2026-06-15", + "updated_at": "2026-07-09", + "created_by": "Sheridan.Vang", + "updated_by": "mrm_admin", + "status": "AI Risk Tier Assessment", + "description": "AI assistant in Webex calling", + "assignedUser": "leemon.2.antony", + "type": "AI Non Model Template", + "unique_id": "NAI-4495", + "entity_type": "ModelInventory", + "due_date": null, + "workflowName": "Non Model with AI Component", + "delegated_by": null, + "is_archived": false, + "workflowId": 92, + "currentVersion": 1, + "associated_system": null, + "entity_code": "4495", + "entity_alias": "AI assistant in Webex calling", + "model_name": "AI assistant in Webex calling", + "model_id": 4495, + "request_type": "Normal", + "priority": null, + "association_name": null, + "association_id": null, + "request_to_model_id": null, + "app_name": null, + "subassigned_users": [], + "Health": "Low", + "health_status": { + "label": null, + "color": null, + "fail_reason": null + }, + "due_at": null, + "tat_minutes": null, + "status_description": "AI Risk Tier Assessment", + "checklist_total": 0, + "checklist_completed": 0, + "checklist_status": "0/0", + "accesslevel": "Manage" + }, + { + "Platform": "This tool have following components : 1. 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Opportunity to increase efficiency translating UI/UX design to code. \ufeff Currently AI agents like github co-pilot using open AI models, can generate UI code but they lack the context of Ameriprise designs elements, styles, components etc. These agents, to an extent, can work from screen shots or do basic image analysis but often struggle to accurately interpret complex design elements, leading to inaccurate code generation. 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