The Vendor is required to provide for applied AI and automation within agency, focused on outcomes that improve service quality, risk control, and delivery capacity.
- Without naming specific vendors or AI initiatives, proposals must be outcome-based and technology-neutral, with awareness of state technology ecosystem and responsible-AI direction.
- Primary Objectives
• Develop a Strategic AI Roadmap for Pension Services
o Identify how AI can enhance core functions like fraud detection, actuarial analysis, and member engagement.
o Align AI initiatives with long-term business goals, regulatory requirements, and fiduciary responsibilities.
• Build AI Literacy Across the Organization
o Educate staff—from executives to frontline teams—on AI fundamentals, use cases in financial and pension administration services, and ethical considerations.
o Promote understanding of how AI can support decision-making, improve service delivery, and manage risk.
• Assess AI Readiness and Infrastructure
o Evaluate current data systems, governance frameworks, and workforce capabilities.
o Identify gaps in technology, skills, and processes that need to be addressed before AI adoption.
• Ensure Responsible and Compliant AI Use
o Develop guidelines for ethical AI use, especially in areas involving personal financial data and retirement planning.
o Ensure compliance with state laws, for example, privacy legislation, pension legislation, the Federal Income Tax Act, and other industry standards.
• Support Change Management and Cultural Adoption
o Foster a culture of innovation and trust in AI technologies.
o Provide tools and strategies to manage resistance and encourage adoption across departments.
- AI Maturity Assessment and Literacy Uplift
o Conduct structured interviews and workshops to assess people, processes, and technology readiness.
o Produce a concise baseline report identifying gaps, risks, and opportunities.
o Develop a role-based literacy uplift plan aligned to agency principles and sector context.
o Ensure findings are actionable and support subsequent governance and prioritization activities.
- Baseline and literacy: conduct workshops and interviews to capture people, processes, and technology insights. Produce a concise baseline with gaps and an actionable literacy plan.
- Governance and controls: define control categories and decision rights for responsible AI. Document operating procedures for accuracy, oversight, security, and audit.
- Use-case identification and prioritization: apply a feasibility-impact lens to identify and stack-rank proponents. No proofs-of-concept.
- Governance, Risk, Security, and Responsible AI Controls
• Human-in-the-loop for benefit-impacting actions.
• Safe-output checks and guardrails.
• Prompt-injection and related input defenses.
• Dataset and configuration lineage.
• Model and change logs.
• Adversarial and red-team testing.
• Explain ability and audit evidence.
• Privacy support for act obligations.
- Contract Period/Term: 1 year
- Questions/Inquires Deadline: October 17, 2025
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