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Four Cornerstones: A Buyer's Framework for AI Governance Tooling

Most enterprises have an AI policy. Far fewer can say what their AI costs, who approved it, or what it touched. This framework covers the four control layers that have to exist before agents reach production, the evaluation question that separates products in each one, and how to test the answer in a POC instead of trusting a datasheet. Written for CIOs, Chief AI Officers, Platform Architects, and Security Leaders on the buying side of the table.

You have an AI policy. Can it tell you how many models you run in production, and what they cost?

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  • Find out whether an AI gateway is a real control point or a suggestion, starting with one question: can a developer bypass it?
  • Scope agent and tool permissions so that a successful prompt injection has nothing important within reach
  • Trace a multi-step agent run end to end, retries included, and attribute cost by team, application, and task
  • Sequence the four layers in the order that actually works, and know which one to fund last and contract loosest

Real Outcomes at TrueFoundry

Why Enterprises Choose TrueFoundry

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3x

faster time to value with autonomous LLM agents

80%

higher GPU‑cluster utilization after automated agent optimization

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Aaron Erickson

Founder, Applied AI Lab

TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.

5x

faster time to productionize internal AI/ML platform

50%

lower cloud spend after migrating workloads to TrueFoundry

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Pratik Agrawal

Sr. Director, Data Science & AI Innovation

TrueFoundry helped us move from experimentation to production in record time. What would've taken over a year was done in months - with better dev adoption.

80%

reduction in time-to-production for models

35%

cloud cost savings compared to the previous SageMaker setup

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Vibhas Gejji

Staff ML Engineer

We cut DevOps burden and simplified production rollouts across teams. TrueFoundry accelerated ML delivery with infra that scales from experiments to robust services.

50%

faster RAG/Agent stack deployment

60%

reduction in maintenance overhead for RAG/agent pipelines

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Indroneel G.

Intelligent Process Leader

TrueFoundry helped us deploy a full RAG stack - including pipelines, vector DBs, APIs, and UI—twice as fast with full control over self-hosted infrastructure.

60%

faster AI deployments

~40-50%

Effective Cost reduction of across dev environments

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Nilav Ghosh

Senior Director, AI

With TrueFoundry, we reduced deployment timelines by over half and lowered infrastructure overhead through a unified MLOps interface—accelerating value delivery.

<2

weeks to migrate all production models

75%

reduction in data‑science coordination time, accelerating model updates and feature rollouts

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Rajat Bansal

CTO

We saved big on infra costs and cut DS coordination time by 75%. TrueFoundry boosted our model deployment velocity across teams.

Enterprise-Ready

Your data and models are securely housed within your cloud / on-prem infrastructure.

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    Fully Modular Systems

    Integrates with and complements your existing stack
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    True Compliance

    SOC 2, HIPAA, and GDPR standards to ensure robust data protection
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    Secure By Design

    Flexible Role based access control and audit trails
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    Industry-standard Auth

    SSO Integration via OIDC or SAML
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