Amazon Quick: Agentic Workflow Design & Implementation

The DXC Agentic Workflow Design & Implementation engagement is the premier enterprise AI transformation program within the Amazon Quick Practice portfolio. Designed for organizations committed to production-grade Amazon Quick deployment, Agentic Workflow Design & Implementation delivers tangible, measurable business outcomes through purpose-built custom AI agents, deep enterprise system integrations, and the establishment of a sustainable AI Operating Model capable of scaling across the enterprise.

DXC deployed Amazon Quick across 115,000 employees in 70 countries before offering it to customers, making us the first enterprise deployment globally. Every lesson from that rollout governance pattern, integration architecture, adoption frameworks is embedded in the Agentic Workflow Design & Implementation delivery model. You skip the trial-and-error. We’ve already done it.

How the Engagement Runs (Sprint Structure):

• Sprint Planning & Design (Weeks 1–2): Sprint backlog prioritization; solution architecture design; integration mapping; data connector configuration planning; agent persona and capability design
• Build & Integration (Weeks 2–6): Custom agent development; enterprise connector implementation; knowledge base construction and indexing; security and permission configuration; UAT environment provisioning
• Validation & Go-Live (Weeks 6–7): User acceptance testing with pilot cohort; performance benchmarking; defect remediation; production deployment; end-user training delivery
• Value Measurement & Planning (Weeks 7–8): Benefit realization measurement against KPIs; sprint retrospective; next sprint backlog preparation; stakeholder value report delivery

Custom Agent Development:

• Enterprise Knowledge Agents: Index and provide intelligent retrieval across your entire enterprise knowledge corpus — SharePoint, Confluence, ServiceNow Knowledge Base, SAP documentation, and internal policy repositories
• Operational Workflow Agents: Embedded within business processes to automate research, synthesis, and recommendation tasks — procurement research agents, HR policy advisory agents, compliance review agents
• IT Operations Agents: Integrated with ITSM platforms to enable intelligent ticket triage, automated resolution recommendation, incident root cause analysis, and proactive problem management
• Customer Experience Agents: Augment customer-facing support operations by providing service agents with real-time, contextually relevant information synthesis from enterprise knowledge sources

**Enterprise System Integration: **

• ERP Systems: SAP S/4HANA, Oracle ERP Cloud, Microsoft Dynamics 365 — enabling Amazon Quick agents to query operational data and provide contextual guidance within ERP workflows
• CRM Platforms: Salesforce, Microsoft Dynamics CRM — surfacing customer history, account intelligence, and recommended next-best actions within sales and service workflows
• ITSM Platforms: ServiceNow, Jira Service Management — intelligent ticket enrichment, automated knowledge article recommendations, and resolution pathway suggestions
• Collaboration Platforms: Microsoft Teams, Slack, SharePoint —Amazon Quick surfaced within the collaboration tools where knowledge workers operate

**AI Operating Model & AI Factory: **

• Governance Structure: Executive AI steering committee charter; AI program office establishment; policy and standards for responsible AI deployment
• Operating Procedures: Defined processes for use case intake, prioritization, development, deployment, and retirement; incident and escalation management
• AI Factory: Reusable component library, CI/CD pipeline for Amazon Quick agent development, quality assurance framework, and knowledge management system for repeatable delivery

**Key Deliverables: **

• Production-grade custom Amazon Quick agents deployed and operational in your environment
• Enterprise system integrations live across ERP, CRM, ITSM, collaboration, and data platforms
• AI Operating Model governance framework and operating procedures documentation
• AI Factory capability: reusable component library and CI/CD pipeline for ongoing development
• Executive value dashboard with KPI tracking and aggregate business impact metrics

Key AWS Services Used in this Solution:

• Amazon Quick
• AWS IAM Identity Center
• Amazon Bedrock
• AWS CloudTrail

Timeline: Minimum two sprints; typical Agentic Workflow Design & Implementation programs comprise four to six sprints over 8–12 months. Engagement commences within 10 business days of signed Statement of Work.

**Next Steps: **

• Request a private offer or send us an email to scope your engagement
• DXC will respond within one business day to confirm sprint scope and schedule a kickoff