Policy as code
CTGT converts SOPs, regulations, and internal guidelines into machine-readable policy graphs that AI outputs are checked against automatically.
CTGT
ClaimCTGT is an enterprise AI governance platform for regulated teams, with policy graphs, deterministic checks, audit trails, remediation, and model-agnostic control.
Overview
CTGT is an enterprise AI governance platform focused on accuracy, speed, and compliance in high-stakes environments. It presents itself as a deterministic layer for frontier intelligence, designed to control what AI systems do after they generate an output.
The product turns policies, SOPs, and regulations into machine-readable rules, then checks AI responses against those rules in real time. The result is a control layer with audit trails, policy enforcement, and remediation options for organizations that need governed AI rather than prompt-only guardrails.
CTGT says it is built for regulated and mission-critical workflows where teams want to deploy AI with more predictable behavior across changing business rules and policy requirements. The site also positions the platform as model agnostic, so governance can stay in place when underlying models change.
Core capabilities
Deterministic output validation
Every output is evaluated through deterministic logic, with traceable decision paths and audit trails that map to an organization’s structure.
Model-agnostic governance
The platform is described as model agnostic, so governance can persist across different model choices without rebuilding the control layer.
Human-in-the-loop and automated remediation
CTGT supports a range of remediation styles, from human review on flagged outputs to automated logic-level fixes before content is released.
Behavior control without retraining
The company says it can govern behavior without retraining, prompt hacks, or heavy fine-tuning, reducing the amount of model-specific tuning work required.
Where it fits
Regulated finance workflows
Financial institutions can apply policy graphs to customer communications, summaries, and assistant responses so outputs remain aligned with compliance rules and internal policies.
AI review automation
Teams replacing manual review with governed automation can use CTGT to flag or remediate outputs in real time instead of checking every response by hand.
Model migration and standardization
Organizations that change models over time can keep a consistent governance layer in place while swapping underlying model providers or versions.
Audit-ready AI operations
Teams that need auditable outputs can use CTGT to create traceable decision paths and logs for later review by compliance, legal, or operations stakeholders.
Policy enforcement across workflows
Enterprises that want policy-driven behavior control can encode business rules once and apply them across multiple workflows rather than managing separate prompt rules for each use case.
Pros and Cons
Pros
- Translates policies and regulations into enforceable rules for AI outputs.
- Provides traceable, deterministic decision paths and audit trails.
- Works without retraining the underlying model.
- Supports both human review and automated remediation workflows.
- Designed to stay in place across model changes.
Cons
- The site does not publish public pricing or package details.
- The source does not list integrations or deployment environments in detail.
- The offering is positioned for regulated and enterprise use, so it may be less relevant for casual or self-serve experimentation.
FAQ
Does CTGT require retraining the model?
CTGT sits on top of an existing AI deployment and enforces policies at inference time. The source describes it as model agnostic and suitable for organizations that want governance without retraining or prompt-only controls.
How does access work?
The application form asks for a work email, organization, current model stack, governance objective, and technical context. That suggests the company is qualifying partnership requests and tailoring deployments to the customer’s environment.
What kind of teams is CTGT built for?
The site positions CTGT for high-risk and regulated environments, including finance, insurance, media, and CPG. It emphasizes audit trails, policy enforcement, and deterministic remediation for outputs that need compliance review.
Is pricing listed publicly?
The site does not publish self-serve pricing. It references deployment with Fortune 500 partners and regulated institutions, which suggests a sales-led process rather than a public pricing page.
Quick Facts
- Category
- Enterprise AI governance
- Primary users
- Regulated enterprises and high-stakes teams
- Deployment style
- Layer on top of existing AI deployments
- Primary workflow
- Policy evaluation and remediation of AI outputs
- Source domain
- ctgt.ai
- Pricing
- Not publicly listed