Adopt AI with confidence - not risk
Symbatek helps regulated and risk-sensitive organizations implement AI safely, defensibly, and intentionally. We lead with governance, security, and cloud-native architecture — then deliver execution that holds up in audits, satisfies compliance teams, and earns board confidence.
Our AI practice is built on production experience — active AI and MLOps architecture at a major federal agency, agentic AI security and governance advisory for a global commercial enterprise, and more than two decades of compliance-first cloud architecture across government, healthcare, and financial services.
Symbatek is the right AI partner when:
You want to explore or adopt AI, but need governance guardrails in place first
Your organization lacks clear AI ownership, policy, or accountability structure
You operate in a regulated environment — public sector, healthcare, CJIS, FTI, PCI, or Gramm-Leach-Bliley
You need pilots designed to scale into production — not throwaway demos
You need a trusted advisor who will tell you what not to do, not just what you could do
You want AI leadership without the cost of a full-time Chief AI Officer
AI Compass™
AI Readiness, Governance & Roadmap
Establish clarity and control before investing in AI execution. AI Compass is not a generic assessment. It is a decision-grade AI control framework that gives your leadership team a clear, defensible position on where AI fits in your organization — and where it does not.
WHAT IT SOLVES
Unclear AI direction. Unmanaged compliance risk. Fragmented decision-making. Budget spent before governance is in place.
WHAT YOU GET
AI readiness and risk assessment across people, data, security, and governance
Cloud and data architecture review (AWS / Azure / GCP)
Compliance gap analysis aligned to your specific regulatory environment (CJIS, FTI, HIPAA, FedRAMP, NIST AI RMF)
GenAI, Copilot, and LLM suitability assessment for your use cases
Vendor and platform recommendations — unbiased, environment-specific
12 to 18 month AI roadmap: prioritized, budget-aware, and executive-ready
ENGAGEMENT STRUCTURE
Duration: Structured 4–6 week engagement. Fixed fee, defined deliverables. Scope varies by environment complexity, regulatory obligations, and number of stakeholders. Contact us to discuss your situation.
NATURAL NEXT STEP
Most AI Compass clients move into AI Steward™ for ongoing governance leadership, or into SecureAI Launchpad™ to execute a governed pilot on a high-priority use case.
AI Steward™
Fractional Chief AI Officer (Monthly Retainer)
Most organizations need someone accountable for AI decisions every month — not a one-time assessment, and not a full-time executive hire. AI Steward gives you ongoing AI governance leadership, decision support, and accountability without the overhead.
WHAT IT SOLVES
Lack of AI ownership and accountability. Governance drift after an initial assessment. Executive and board risk exposure. Vendor decisions made without qualified oversight.
WHAT YOU GET
Fractional Chief AI Officer (CAIO) leadership
AI governance and policy oversight — acceptable use, data boundaries, model lifecycle
Architecture and security reviews for AI initiatives
Vendor and model evaluation — LLMs, Copilot, SageMaker, Azure OpenAI, and others
Executive and board-level AI briefings
AI risk register maintenance and mitigation tracking
Ongoing compliance alignment as regulations evolve
ENGAGEMENT STRUCTURE
Engagement type: Monthly retainer engagement. Minimum 3-month commitment. Engagement depth scales to your governance program requirements, reporting cadence, and compliance environment. Contact us to discuss your situation.
NATURAL NEXT STEP
Light engagement (advisory only, 1-2 executive touchpoints/month)
Standard engagement (governance + reviews + monthly briefing)
Enterprise SMB (full governance program, board support)
SecureAI Launchpad™
Governed AI Pilot & Execution
When you're ready to pilot AI in a production-adjacent environment, Symbatek doesn't build throwaway proofs of concept. We design and deploy governed, secure, cloud-native AI pilots that are built to scale — with full audit trails, access controls, compliance documentation, and a clear go/no-go production recommendation at the end.
WHAT IT SOLVES
Risky, undocumented GenAI experiments. Insecure LLM integrations. PoCs that security and compliance teams cannot approve for production. Pilots that prove functionality but not deployability.
WHAT YOU GET
Use case selection, scoping, and risk assessment
Secure AI architecture design across AWS, Azure, or GCP
LLM, Copilot, or SageMaker environment setup with private endpoints and data isolation
Identity, access, and audit controls aligned to your compliance framework
Prompt versioning and governance documentation
Model monitoring, logging, and drift detection setup
Executive go/no-go production recommendation with full architecture documentation
ENGAGEMENT STRUCTURE
Duration: 8–12 week governed pilot engagement. Fixed fee, defined scope. FedRAMP, CJIS, and HIPAA-scoped engagements reflect additional compliance and documentation requirements. Contact us to discuss your situation.
NATURAL NEXT STEP
Talk with us about more customization needs.
How all three engagements work together
Our three AI service offerings are designed to progress naturally — each one building on the last, with no forced upsell and no artificial gate between them.
AI Compass™ → Gives leadership clarity and a defensible roadmap
AI Steward™ → Provides ongoing governance, accountability, and executive leadership
SecureAI Launchpad™ → Executes a specific use case safely and at production quality
Most clients begin with AI Compass™, then move into a retainer relationship through AI Steward™. SecureAI Launchpad™ is typically initiated when a specific high-priority use case has been identified and scoped through the Compass or Steward engagement.
If you are unsure which engagement is right for your organization, start with a 30-minute discovery call. We will tell you honestly which — if any — of our services fits your current situation.