Reduce Risk. Ship Faster.
Hands-on services and our proprietary AI-Q methodology turn AI risk into decisions, adoption, and impact — so teams deploy and scale AI faster, with confidence.
AI Readiness Assessment
Where should we start with AI? Structured discovery across leadership and function leads, ending in a prioritized, risk-classified backlog of where AI pays off first.
Shadow AI Assessment
What AI is already running, and how risky is it? A deduplicated tool inventory with a composite risk score and a clear decision for every tool: allow, monitor, or restrict.
AI Governance Framework Design
What must a tool meet before it touches our environment? Policy set, tool intake workflow, and go/no-go criteria you apply to any future tool without restarting the debate.
Tool Selection & Trust Scoring
Which tool, and can we defend the decision? AI-Q risk reports with vendor Trust Scores, head-to-head evaluations, and buy-vs-configure recommendations.
AI Implementation & Training
How does this team adopt it, and scale it? Hands-on workshops, prompt libraries, function-specific guardrails, and a 30/60/90-day adoption KPI framework, per function.
Custom AI Use Cases
Build the agent or workflow, and prove the ROI. Agents and automated workflows configured to your governance constraints, with human-approval gates and instrumented KPIs.
Frequently Asked Questions
Where should we start if we have no AI strategy yet?
With the AI Readiness Assessment. Structured discovery across leadership and function leads produces a prioritized, risk-classified backlog of where AI pays off first, plus an executive readout with a recommended sequence.
Do you work with companies that already use AI tools?
Yes — that's the entry point for most clients. The Shadow AI Assessment builds a deduplicated inventory of every AI tool already running, scores each one for risk, and ends with a clear decision per tool: allow, monitor with guardrails, or restrict with a sanctioned alternative.
What frameworks does the governance work align to?
Governance frameworks are aligned to NIST AI RMF, ISO 42001, HIPAA, SOC 2, and OWASP for LLMs, and right-sized to your actual regulatory exposure. The goal is go/no-go criteria you can apply to any future tool without restarting the debate.
Which industries do you serve?
Primarily regulated industries where AI risk isn't optional: financial services, healthcare, government and defense, and enterprise software. Engagements are PHI-aware and documentation-first by design.
How do you help us choose between competing AI tools?
Tool Selection & Trust Scoring uses the AI-Q engine to produce a risk report per candidate tool, drawn from a vetted directory of 100+ tools. You get head-to-head evaluation matrices against your stack and buy-vs-configure recommendations you can defend to the board.
Can you build custom AI agents or workflows for us?
Yes. The Custom AI Use Cases service configures agents and automated workflows to your governance constraints, with human-approval gates and instrumented KPIs so the ROI is proven, not assumed. Implementation and training engagements then drive adoption function by function with a 30/60/90-day KPI framework.