Build Trustworthy AI
With Confidence
Establish the governance, oversight, controls, and operating model needed to responsibly scale AI across your organization while reducing risk and maintaining compliance.
Governance Score
AI Portfolio Risk Rating
NIST AI RMF Aligned
Governed
Review
Compliance
AI Adoption Is Outpacing Governance
Organizations are rapidly adopting AI tools, models, and platforms — but most lack the governance structures, oversight processes, and accountability frameworks needed to manage risk and ensure responsible use across the enterprise.
Uncontrolled AI Adoption
Employees and teams adopt AI tools without formal oversight — creating shadow AI deployments, inconsistent usage, ungoverned data flows, and significant organizational risk that leadership can’t see.
AI Risk Exposure
Organizations lack the processes to identify, assess, and manage AI-related risks — including bias, explainability failures, data privacy violations, and model performance degradation that could undermine mission outcomes.
Compliance Requirements
Emerging regulations including OMB AI policies, EO 13960, the NIST AI RMF, and agency-specific requirements create compliance obligations that require systematic governance and documented accountability.
Limited Visibility
Leadership lacks visibility into what AI initiatives exist, which models are deployed, how they perform, and what risks they represent — making portfolio-level oversight and resource allocation decisions nearly impossible.
Workforce Readiness Gaps
Employees at every level need guidance on responsible AI usage, organizational policies, ethical considerations, and the boundaries of appropriate AI-assisted decision-making in their specific roles.
Lack of Governance Structures
Roles, responsibilities, decision-making processes, and accountability structures for AI initiatives are undefined — creating gaps where critical governance decisions fall through the cracks between functions.
A Complete AI Governance Program — Not Just a Policy Document
Synergistic Agility delivers a comprehensive AI Governance & Responsible AI solution that enables organizations to adopt AI with confidence — establishing the frameworks, oversight processes, accountability structures, and workforce capabilities needed to govern AI responsibly at scale.
We go beyond templates and toolkits. We assess your AI maturity, design governance operating models tailored to your organization, implement review and oversight processes, build executive visibility, and provide ongoing governance operations support.
Assess
AI maturity, governance gaps, risk exposure & compliance obligations evaluated
Govern
Frameworks, operating models, review boards & decision workflows established
Monitor
AI models, compliance, risk exposure & governance health tracked in real time
Enable
Leadership, governance boards & workforce trained on responsible AI use
Improve
Governance performance measured, reviewed, and continuously enhanced
Scale
Governance matures as AI adoption grows — enabling confident enterprise expansion
What Your Organization Achieves
Designed to enable responsible AI adoption, reduce risk exposure, improve compliance posture, and give leadership the visibility needed to govern AI with confidence.
Responsible AI Adoption
Promote safe, ethical, and trustworthy AI usage across the enterprise — with governance structures that enable innovation while protecting against bias, privacy violations, and accountability failures.
Reduced AI Risk
Systematically identify, assess, and manage AI-related risks before they become operational, regulatory, or reputational events — through model registries, risk scoring, and proactive monitoring.
Improved Compliance
Support evolving AI governance requirements — including OMB AI policy, NIST AI RMF, EO 13960, and agency-specific mandates — through documented controls, audit trails, and continuous compliance monitoring.
Increased Visibility
Provide leadership with real-time insight into the AI portfolio — what models are deployed, what risks they carry, what governance gaps exist, and how compliance posture is trending over time.
Faster AI Adoption
Enable innovation through structured governance — a clear intake, review, and approval process that gives teams a well-lit path to deploy AI responsibly, without the friction of undefined oversight.
Stronger Accountability
Define clear AI ownership, governance roles, decision rights, and accountability structures — so every AI initiative has a documented steward and no model operates without an accountable owner.
Four Integrated Components. One Governance Capability.
From initial assessment through managed governance operations — every component builds toward a sustained, enterprise-wide AI governance capability that outlasts the engagement.
Advisory Services
Strategic consulting to evaluate AI maturity, assess governance gaps, quantify risk exposure, and build a prioritized governance roadmap aligned to mission priorities.
- AI Readiness & Maturity Assessments
- AI Governance Strategy & Design
- AI Risk Assessments & Risk Scoring
- Governance Roadmap & Business Case
- Executive Workshops & Briefings
Governance Enablement
Implementation of governance frameworks, operating models, review boards, and decision workflows — the structural foundation that makes responsible AI adoption systematic and scalable.
- AI Governance Frameworks & Standards
- AI Operating Model Design
- Governance Board Establishment
- Use Case Intake & Review Processes
- AI Policy Development & Approval
Accelerators
Pre-built governance assets — NIST AI RMF mapped templates, risk assessment models, policy libraries, and governance dashboards — that compress implementation timelines significantly.
- AI Policy & Standard Templates
- NIST AI RMF Mapping Toolkit
- Risk Assessment Models & Scorecards
- AI Use Case Intake Workflows
- Governance Dashboards & Playbooks
Managed Support
Ongoing governance operations — running review boards, monitoring compliance, generating executive reports, and continuously improving governance as AI adoption scales.
- Governance Operations & Support
- AI Compliance Monitoring
- Executive AI Reporting
- Continuous Improvement Reviews
- Governance Board Facilitation
Best-Fit Technology for AI Governance
We are platform-agnostic. Technology is selected to fit your existing environment, security posture, and governance maturity — not the other way around.
IBM watsonx.governance
AI governance & compliance platform
IBM watsonx.ai
Enterprise AI model platform
IBM OpenPages
GRC & risk management
IBM Verify
Identity & access governance
Microsoft Purview
Data governance & compliance
Microsoft Copilot
AI governance integration
ServiceNow
Governance workflow management
Jira / Confluence
Intake tracking & documentation
OpenAI
GPT-4 & enterprise AI
Anthropic Claude
Responsible AI models
Enterprise AI Models
Agency & custom model governance
Built for Federal AI Governance
Every governance framework, policy template, and risk model we deliver is mapped to the requirements federal agencies actually face — not adapted from commercial frameworks after the fact.
NIST AI Risk Management Framework
Complete alignment to the NIST AI RMF’s four core functions — Govern, Map, Measure, and Manage — providing a federally recognized foundation for enterprise AI risk management and accountability.
Executive Orders & Federal Guidance
Designed to support evolving federal AI requirements — including EO 13960, OMB M-24-10, and agency-specific AI governance directives — with frameworks that adapt as requirements evolve.
Responsible AI Principles
Governance frameworks built around the five pillars of responsible AI — transparency, accountability, fairness, privacy, and security — embedding ethical considerations into every AI review process.
Agency Governance Requirements
Governance operating models designed to fit agency-specific organizational structures, mission requirements, IT governance frameworks, and existing oversight and compliance programs.
Where AI Governance Delivers Mission Impact
Purpose-designed governance programs for the highest-impact AI oversight challenges across federal agencies and enterprise organizations.
AI Governance Program Office
Establish an enterprise AI Governance Program Office — defining roles, authorities, and accountability structures that provide consistent oversight across all AI initiatives and business units.
AI Use Case Review Process
Implement a structured AI use case intake, evaluation, and approval process — ensuring every AI initiative is assessed for risk, bias, compliance, and mission alignment before deployment.
AI Risk Management Program
Deploy a systematic AI risk management program that identifies, scores, monitors, and mitigates risks across all deployed models — aligned to NIST AI RMF and agency risk tolerance frameworks.
AI Compliance Monitoring
Implement continuous AI compliance monitoring — tracking governance policy adherence, model performance drift, regulatory requirement changes, and documentation completeness across the portfolio.
Executive AI Dashboard
Deploy a real-time executive AI governance dashboard giving CIOs, CAIOs, and leadership current visibility into portfolio risk, compliance posture, governance health, and AI adoption metrics.
Responsible AI Workforce Program
Build a workforce-wide responsible AI program — delivering role-based AI literacy training, acceptable use guidance, ethical AI principles, and governance responsibilities across every level.
A Structured Approach to Governance Transformation
Every engagement follows our five-phase methodology — building governance capability incrementally, demonstrating value early, and establishing a sustained governance culture.
Assess
Evaluate AI maturity, governance gaps & risk exposure
Design
Develop governance frameworks & operating models
Implement
Deploy governance processes & supporting technology
Enable
Train leadership, boards & workforce on responsible AI
Support
Monitor & continuously improve governance operations
Start Where You Are. Scale as You Grow.
Four engagement packages designed to meet organizations wherever they are on their AI governance journey — from initial assessment through enterprise-wide governance transformation.
For organizations exploring AI governance
Key Deliverables
- AI Readiness Assessment
- Governance Maturity Review
- AI Risk Assessment
- Governance Roadmap & Recommendations
For organizations establishing governance
Key Deliverables
- AI Governance Framework Design
- AI Policy Development
- Governance Board Design & Charter
- Initial Training Program
For organizations deploying AI broadly
Key Deliverables
- Enterprise Governance Operating Model
- AI Risk Management Program
- Governance Dashboards
- Compliance Monitoring
- Executive Reporting Framework
For agencies scaling enterprise AI adoption
Key Deliverables
- Enterprise AI Governance Strategy
- NIST AI RMF Alignment Program
- AI Compliance Framework
- Workforce Enablement Program
- Managed Governance Services
Why Synergistic Agility
We combine AI governance expertise, federal agency experience, and the agility of a certified small business — delivering governance programs that improve mission outcomes, not just compliance scores.
SBA 8(a) Certified
Streamlined federal procurement for AI governance programs through SBA 8(a) certification — faster contracting, less administrative overhead, more focus on mission outcomes.
Federal Government Experience
Deep familiarity with federal AI governance requirements — OMB AI policy, EO 13960, NIST AI RMF, FISMA, and agency-specific oversight mandates that commercial firms often lack.
AI Governance Expertise
Practitioners who have designed and implemented enterprise AI governance programs — not just consultants who have read about them. Real governance, real experience, real outcomes.
Responsible AI Expertise
Certified practitioners across AI ethics, fairness, explainability, and responsible AI design — building governance that addresses the real sources of AI risk, not just compliance checklists.
AI Risk Management
Systematic risk assessment practitioners who build risk management programs that identify exposure before it becomes incident — aligned to NIST AI RMF and federal risk frameworks.
Agile Transformation Expertise
Governance programs delivered through Agile methodology — demonstrating value incrementally from sprint one rather than waiting for a multi-year governance transformation to complete.
Workforce Enablement
Change management and workforce development practitioners who ensure governance frameworks are adopted, understood, and sustained by the people who must follow and enforce them.
Mission-Focused Outcomes
Every governance program is designed around mission outcomes — not abstract best practices. We measure success by AI adoption velocity and risk reduction, not governance document count.
Products That Accelerate This Solution
Purpose-built AI governance tools from Synergistic Agility that complement and accelerate the AI Governance & Responsible AI solution delivery.
AI Governance Dashboard
Real-time executive visibility into the AI portfolio — risk scores, compliance posture, model inventory, and governance health indicators for leadership oversight.
AI Policy Assistant
An AI-powered assistant that supports policy development, answers governance questions, and guides teams through compliance requirements and organizational AI standards.
AI Use Case Generator
An AI-powered tool that helps teams identify, evaluate, and prioritize AI opportunities — scoring use cases against risk, feasibility, and mission value criteria.
AI Risk Assessment Portal
A structured risk assessment portal that guides teams through model evaluation, bias testing, documentation requirements, and risk tier determination for every AI initiative.
AI Knowledge Assistant
A conversational AI assistant providing instant answers to governance questions, policy guidance, acceptable use criteria, and NIST AI RMF framework guidance on demand.
Executive AI Reporting Portal
An executive reporting portal that automatically generates AI governance briefings, compliance status reports, and board-ready governance performance summaries.
The Impact Organizations Typically See
Results vary by organization and governance maturity. These reflect outcomes observed across comparable AI governance engagement programs in federal and enterprise environments.
Reduced AI Risk
Proactive identification and management of risks before they become incidents through systematic model oversight and monitoring
AI Adoption
Clear intake and review processes reduce approval uncertainty, enabling teams to deploy AI more quickly and confidently
Compliance Posture
Documented governance controls, audit trails, and compliance monitoring supporting NIST AI RMF and federal policy requirements
Executive Visibility
Real-time governance dashboards replacing lagging manual reports — leadership sees current AI portfolio risk and compliance status
Workforce Readiness
Role-based AI literacy and responsible AI training improving workforce confidence in appropriate AI tool usage
Governance Culture
Governance frameworks embedded into processes and culture — not dependent on individual champions to sustain
Ready to Govern AI With Confidence?
Discover how Synergistic Agility can help your organization establish responsible AI governance, reduce risk, improve compliance, and accelerate AI adoption — starting with your most pressing governance challenge.
(443) 826-6461 · sales@synergisticagility.com · Stevenson, MD 21153 · CAGE 84C72