TUHAI helps enterprises govern autonomous AI workflows with pre-validation checks, live execution monitoring, semantic caching, and FinOps-driven LLM routing.
TUHAI is designed for high-risk AI automation where agents interact with users, data, tools, APIs, and LLMs during live business execution.
Validate AI workflows, prompts, tools, data access, model settings, and policy gaps before production release.
Monitor AI decisions, tool calls, user context, approvals, and escalations while agents are executing live workflows.
Reduce repeated LLM calls by safely reusing approved answers for similar requests with governance context.
Route requests to the right model based on cost, latency, risk level, token size, and business priority.
Before an AI workflow reaches live execution, TUHAI runs a hygiene framework across policy, tool access, autonomy, human approval, transparency, identity, data protection, monitoring, and auditability.
The count represents pre-validation checks grouped by governance pillar. These checks can be expanded per vertical and regulatory pack.
Validate regulatory, business, and internal policy alignment before deployment.
Check tool permissions, API scopes, action limits, and unsafe operation exposure.
Confirm what the agent can decide, recommend, execute, or escalate.
Validate approval gates for high-risk decisions and irreversible actions.
Ensure users know when AI is involved and what decision context is used.
Validate identity, access, sensitive-data handling, masking, and leakage controls.
Confirm runtime signals, alerts, thresholds, and operational observability.
Ensure events, decisions, approvals, and enforcement outcomes are defensible.
TUHAI sits in the agent execution path to evaluate policy, context, identity, cache eligibility, model routing, and evidence capture before an AI action is completed.
Loan agent, claims agent, care agent, underwriting agent.
Policy check · semantic cache · FinOps route · evidence log.
LLM · vector database · enterprise APIs · human approval.
TUHAI can start with regulated, high-risk workflows such as BFSI and healthcare, and expand to any business area where AI agents interact with users, tools, data, APIs, and decisions.
Control banking, lending, payments, insurance, KYC, AML, credit decisioning, and customer service agents.
Govern care support, clinical documentation, prior authorization, and patient service AI workflows.
Extend governance to HR, legal, procurement, sales, support, operations, and internal copilots.
TUHAI can map AI pipeline checks, runtime controls, approval evidence, and enforcement actions to AI governance, AI management systems, model-risk, cyber, privacy, AML, operational resilience, and healthcare frameworks. The numbers below are example TUHAI mapped AI control checks in the control library, not official article, clause, or legal requirement counts.
Initial regulatory packs are focused on BFSI and healthcare, with room to extend into any enterprise function.
Source basis: EU AI Act, ISO/IEC 42001, GDPR, NIST AI RMF, FFIEC BSA/AML Manual, Federal Reserve SR 11-7, Federal Reserve SR 26-2, DORA.
AI management system controls for responsible AI governance, lifecycle, accountability, and continual improvement.
Privacy-by-design, data minimization, lawful basis, transparency, security, and automated decision safeguards.
AI risk management guidance for risk identification, analysis, evaluation, treatment, and monitoring.
Information-security management controls relevant to agent access, data protection, and operational security.
Model governance, validation, implementation, use, monitoring, and policy controls.
Bank model-risk expectations aligned to development, validation, governance, and controls.
Technology-risk governance, cyber resilience, system availability, and third-party controls.
IT governance, risk, controls, assurance, vendor risk, and business continuity patterns.
Risk data aggregation, reporting accuracy, completeness, timeliness, and governance.
Administrative, technical, and physical safeguards for customer information security.
Cybersecurity program, governance, audit trails, access control, risk assessment, and incident controls.
Administrative, physical, and technical safeguards for healthcare AI workflows.
Additional source basis: ISO/IEC 42001, ISO/IEC 23894, ISO/IEC 27001, GDPR, OCC model-risk guidance, FDIC model-risk adoption, FTC GLBA Safeguards Rule, NYDFS 23 NYCRR 500, BCBS 239, MAS TRM, RBI IT Governance, HIPAA Security Rule.
Instead of sending every agent request to the most expensive model, TUHAI can choose the right path: cache reuse, small model, premium model, tool execution, or human review.
Start with pre-validation, then extend into live execution monitoring, semantic caching, FinOps-driven model routing, and domain-specific controls for any enterprise function.