Phase Duration Major Activities Key Deliverables Phase 1: Discovery, Readiness & Governance Design Month 1 Stakeholder discovery; current-state assessment; Microsoft 365 tenant and licensing review; security and privacy assessment; AI inventory discovery; governance gap assessment; operating-model design Readiness Assessment; Governance Gap Assessment; Architecture Blueprint; Draft AI Governance Operating Model Phase 2: Governance Build & Platform Configuration Months 2 Finalize governance roles and decision rights; configure Copilot environment; implement security and access controls; establish AI inventory; design intake, risk, and approval workflows Approved Governance Operating Model; Initial AI Inventory; Configured Copilot Environment; Draft Governance Workflows Phase 3: Controlled Pilot & Governance Validation Month 3-4 Launch targeted pilot; test governance workflows; conduct risk and compliance reviews; deliver initial training; collect user feedback; measure adoption and identify remediation needs Pilot Environment; Pilot Results Summary; Validated Governance Workflows; Training Materials; Remediation Plan Phase 4: Enterprise Rollout & Adoption Month 5 Phased production rollout; activate enterprise governance processes; expand training and communications; launch operational reporting and monitoring Production Deployment; Operational AI Governance Processes; Governance Dashboards; Adoption Reporting Phase 5: Stabilization, Knowledge Transfer & Handover Month 6 Stabilize production environment; finalize documentation; complete role-based training; conduct administrator knowledge transfer; transition operational ownership; close outstanding issues Final Governance Playbooks; Administration Guides; Knowledge-Transfer Package; Operational Support Handover; Final Acceptance . The objective of this engagement is to select a qualified Contractor (AI Governance Implementation Lead - Co-pilot Specialist) to provide professional consulting services to operationalizeEnterprise AI Governance program and support the implementation and adoption of Microsoft Copilot over an initial six (6) month period, with the possibility of an additional six (6) month extension.

About US:
Tryfacta is a leading, nationally renowned Workforce Management Solution provider for private &public sector firms across the US. We specialize in Healthcare, IT, Business Support, and Professional & Craft/Light Industrial ecosystems.

Founded in March 1996, we have a presence in all 50 States. Tryfacta has Ranked number 1 as one of the fastest-growing companies by Inc. Magazine (Inc. 5000)!

Tryfacta is certified by the Joint Commission for Healthcare Staffing Services & has numerous ISO Certifications that capture our commitment to continuous improvement.

Job Summary:
Tryfacta is seeking a AI Governance & MS Copilot consultant for our client in 1401 Pacific Avenue Dallas, TX 75202. This is a temporary contract assignment. If you meet the qualifications listed below and are interested, please Apply Now!

Job Diva ID: 26-05960
Position Title: AI Governance & MS Copilot consultant
Location: Dallas, TX 75202
Duration: 6 months
Work Schedule: M-F

Responsibilities for this position include, but are not limited to:

• 1Project Objectives

  Organizations are increasingly using AI to improve productivity, operational efficiency, and decision-making. At the same time, AI adoption introduces important considerations related to data privacy, cybersecurity, bias, transparency, regulatory compliance, human oversight, and integration with existing enterprise systems. AI Governance Directive establishes a balanced framework for the responsible adoption and use of AI across the Agency.
  The objective of this engagement is to select a qualified Contractor (AI Governance Implementation Lead - Co-pilot Specialist) to provide professional consulting services to operationalizeEnterprise AI Governance program and support the implementation and adoption of Microsoft Copilot over an initial six (6) month period, with the possibility of an additional six (6) month extension.
  Services shall include governance strategy, operating-model development, technology configuration, implementation, organizational change management, workforce enablement, and knowledge transfer. The selected Contractor shall partner with Technology, Information Security, Change Management, and other applicable business teams to establish a secure, sustainable, and adoption-focused AI capability.
  The Contractor shall provide all labor, project management, technical expertise, implementation support, training, and documentation required to deliver an operational enterprise AI Governance capability and support the successful rollout of Microsoft Copilot.

  2Scope

  2.1 AI Governance Strategy & Operating Model

  Develop and operationalize an enterprise AI governance framework aligned  approved AI Governance Directive. The scope shall include:
• Governance operating model
• Governance structure and oversight mechanisms
• Roles and responsibilities
  • AI System Owners
  • AI Risk Owners
  • Other governance stakeholders, as appropriate
• Decision rights and approval authorities
• Escalation procedures
• Governance forums and meeting cadence
• AI lifecycle oversight
• Governance documentation and recordkeeping requirements
• 
  The Contractor shall clearly define accountability across relevant business, Technology, Information Security, Legal, Human Resources, Procurement, and other applicable functions.

  2.2 AI Governance Platform Implementation

  Configure, secure, deploy, and optimize Microsoft Co-Pilot as enterprise AI platform. Services shall include:
• Readiness and tenant assessment
• Licensing and deployment planning
• Production configuration
• Security and privacy configuration
• Role-based access controls
• Identity and permissions review
• Data Loss Prevention and sensitivity-label configuration, where applicable
• Search, indexing, and content-access review
• Administrative and workflow configuration
• Usage monitoring and reporting
• Production deployment
• Technical and operational documentation
• The Contractor shall ensure that the Microsoft Copilot environment is implemented in accordance with security, privacy, data-governance, and technology standards.

  2.3 AI Governance Implementation

  Implement operational processes and controls supportingAI Governance Directive.

  2.3.1AI Inventory

  Establish and operationalize an enterprise inventory of AI assets, including:
• AI systems
• Machine Learning models
• Generative AI solutions
• AI Agents
• Third-party AI applications
• AI-enabled SaaS platforms
• 
  The inventory should capture relevant governance information, including business purpose, business owner, technical owner, risk classification, data used, vendor information, deployment status, review status, and lifecycle stage.

  2.3.2AI Risk Management

  Establish repeatable governance processes for:
• AI use-case intake and approval
• AI risk assessment
• Privacy and security reviews
• Human oversight requirements
• AI lifecycle management
• AI model and system documentation
• Periodic monitoring and review
• Retirement or decommissioning of AI systems
• 
  Risk-management processes should be proportionate to the nature, complexity, and potential impact of each AI use case.

  2.3.3AI Compliance

  Implement processes and controls supporting:
• Responsible AI
• Ethical AI
• Transparency
• Explainability
• Bias and fairness evaluation
• Privacy and security
• Human accountability
• Human-in-the-loop oversight
• Regulatory compliance
• 
  These requirements shall be integrated into the AI intake, assessment, approval, deployment, monitoring, and review lifecycle.

  2.4 Organizational Change Management

  Develop and execute a change management strategy supporting enterprise adoption. Activities shall include:
• Stakeholder identification and engagement
• Change-impact assessment
• Communications plan
• Adoption strategy and support
• Governance awareness campaign
• Executive briefings
• Department workshops
• Role-specific onboarding
• AI Governance awareness sessions
• AI champion or ambassador model, where appropriate

• 2.5 Training & Knowledge Transfer

  Develop and deliver role-based training and knowledge transfer for all applicable stakeholders. Target audiences shall include:
• AI System Owners
• AI Risk Owners
• Technical administrators
• Business users
• Governance stakeholders
• Technology and Information Security personnel
• Other designated employees
• 
  Training materials shall be specific to and shall include:
• Role-based training curriculum and training materials
• User guides
• Administrator guides
• Quick reference guides and Frequently Asked Questions (FAQs)
• Knowledge transfer documentation

• 3Deliverables

  3.1 Technical Deliverables

• Microsoft Copilot Readiness Assessment
• Architecture and Configuration Blueprint
• Configured Production Environment
• Security and Access-Control Configuration
• AI Inventory Repository
• Operational Dashboards
• Integration Documentation
• Technical Administration and Support Documentation

• 3.2 Governance Deliverables

• Enterprise AI Governance Operating Model
• AI Governance Roles and Responsibilities Matrix
• AI Ownership Matrix
• AI Intake and Approval Workflow
• AI Risk and Impact Assessment Framework
• AI Lifecycle Management Procedures
• Responsible AI Controls and Review Procedures
• AI Inventory Operating Procedures
• Governance Escalation Procedures

• 3.3 Adoption & Enablement Deliverables

• Organizational Change Management Plan
• Communications Plan
• Adoption Strategy
• Role-based Training Curriculum
• User Documentation
• Administrator Documentation
• Quick-Reference Guides and FAQs
• Knowledge-Transfer Sessions
• Microsoft Copilot Adoption Materials

• 4Project Governance

  
  The Contractor shall provide structured project governance and reporting throughout the engagement. At a minimum, the Contractor shall provide:
• Weekly project-status meetings and written reports
• Detailed project plan and milestone tracking
• Risk and issue log
• Action-item tracker
• Decision log
• Change request management
• Deliverable review sessions
• Monthly executive steering committee presentations

• 5Success Criteria

  
  The engagement shall be considered successful when the agreed deliverables have been completed and, at a minimum:
• Enterprise AI Governance operating model is established and operational.
• Governance roles and responsibilities are assigned and functioning.
• Enterprise AI inventory is established and operational.
• AI intake, risk-assessment, approval, and oversight workflows are implemented.
• Microsoft Copilot is configured and deployed in accordance with requirements.
• Required security, privacy, and access controls are implemented and validated.
• Governance reporting and monitoring capabilities are operational.
• Training is completed for designated stakeholder groups.
• User and administrator documentation is delivered and accepted.
• Knowledge transfer to personnel is completed.
• Operational support responsibilities are successfully transitioned
• All required project documentation is delivered and formally accepted..

• 8Project Timeline

  The engagement shall be completed over a six (6) month period, with the possibility of a six (6) months extension, using a phased implementation approach.

  Phase	Duration	Major Activities	Key Deliverables
  Phase 1: Discovery, Readiness & Governance Design	Month 1	Stakeholder discovery; current-state assessment; Microsoft 365 tenant and licensing review; security and privacy assessment; AI inventory discovery; governance gap assessment; operating-model design	Readiness Assessment; Governance Gap Assessment; Architecture Blueprint; Draft AI Governance Operating Model
  Phase 2: Governance Build & Platform Configuration	Months 2	Finalize governance roles and decision rights; configure Copilot environment; implement security and access controls; establish AI inventory; design intake, risk, and approval workflows	Approved Governance Operating Model; Initial AI Inventory; Configured Copilot Environment; Draft Governance Workflows
  Phase 3: Controlled Pilot & Governance Validation	Month 3-4	Launch targeted pilot; test governance workflows; conduct risk and compliance reviews; deliver initial training; collect user feedback; measure adoption and identify remediation needs	Pilot Environment; Pilot Results Summary; Validated Governance Workflows; Training Materials; Remediation Plan
  Phase 4: Enterprise Rollout & Adoption	Month 5	Phased production rollout; activate enterprise governance processes; expand training and communications; launch operational reporting and monitoring	Production Deployment; Operational AI Governance Processes; Governance Dashboards; Adoption Reporting
  Phase 5: Stabilization, Knowledge Transfer & Handover	Month 6	Stabilize production environment; finalize documentation; complete role-based training; conduct administrator knowledge transfer; transition operational ownership; close outstanding issues	Final Governance Playbooks; Administration Guides; Knowledge-Transfer Package; Operational Support Handover; Final Acceptance

Tryfacta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.