Private AI for Regulated SMBs

AiTLLM — enterprise AI with a hard guarantee your data never trains a public model.

A private LLM gateway that routes your prompts to Claude, GPT, or Llama under your own compliance controls — with full audit logging, cost caps, and zero data-retention on the model provider side.

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What it does

What AiTLLM does.

  1. Data never leaves your compliance boundaryEvery model call is routed through AiTLLM's private proxy. Zero-retention API agreements with upstream providers mean your prompts and completions are not stored, logged, or used for training on the vendor side — and we contractually enforce it.
  2. Full audit trailEvery LLM call is logged with user identity, timestamp, model used, token count, and a hash of the input — giving your compliance team the evidence trail they need for SOC 2, HIPAA, and internal policy reviews.
  3. Cost controls and budget enforcementPer-user and per-department spend caps prevent runaway API costs. Hard limits cut off access at threshold; soft limits alert your admin. No surprise invoices at the end of the month.
  4. Multi-model routing without re-integrationRoute workloads to the right model for the job — Claude for long-context analysis, GPT-4o for code, Llama for on-premise-sensitive workloads — without rebuilding your integration each time a better model ships.
data used for model training
Zero
audit-logged LLM calls
100%
Claude, GPT, Llama in one gateway
Multi-model

Inside AiTLLM

The problem with “just use ChatGPT”

Telling employees to use public AI tools is not an AI strategy — it is a compliance liability waiting to surface. Prompts sent to consumer AI products may be used for model training, are stored by the provider, and are outside your audit perimeter. For any organization subject to HIPAA, SOC 2, financial services regulations, or basic data-handling obligations, “just use ChatGPT” is an answer that breaks under scrutiny.

The alternative is not to ban AI entirely. It is to route AI through a boundary you control.

What AiTLLM does

AiTLLM sits between your users and the model providers. Every prompt goes through the gateway — logged, controlled, and governed — before it reaches any upstream API:

  • Zero-retention routing — API calls use zero-data-retention agreements with Anthropic, OpenAI, and other providers. The model processes the prompt; nothing persists on the vendor side.
  • Audit logging — full call log with user attribution, model, token counts, and hashed input/output. Exportable for compliance reviews.
  • Budget enforcement — per-user, per-team, and per-project spend caps with hard and soft thresholds.
  • Model flexibility — Claude, GPT-4o, Llama, and others available under the same gateway. Switch or blend models per use case without a new integration.

Built for the CISO conversation

AiTLLM is designed to pass the question a CISO or compliance lead asks the moment AI comes up: “Where does our data go, who can see it, and how do we prove it?” The answer is the gateway log, the zero-retention contract, and the per-user audit trail — all available without a lengthy vendor review.

Deployed and managed by Intelligent Group

AiTLLM is deployed as part of your managed-IT environment. Intelligent Group handles model contract management, gateway patching, log retention, and quarterly usage reporting. Your team gets compliant AI access; you get an audit-ready paper trail.

Book a walkthrough to see how AiTLLM maps to your current AI policy — or lack of one.

Who it's for

Who AiTLLM is for.

  • Regulated SMBs

    Organizations subject to HIPAA, SOC 2, financial services regulations, or basic data-handling obligations that want AI without the compliance liability.

  • CISOs and compliance leads

    A clear answer to where your data goes, who can see it, and how to prove it: the gateway log, the zero-retention contract, and the per-user audit trail.

  • IT and finance admins

    Per-user, per-team, and per-project spend caps with hard and soft thresholds. No surprise invoices at the end of the month.

FAQ

Questions about AiTLLM.

Is our data used to train public models?

No. API calls use zero-data-retention agreements with Anthropic, OpenAI, and other providers. Your prompts and completions are not stored, logged, or used for training on the vendor side.

What does AiTLLM log?

Every LLM call, with user identity, timestamp, model used, token count, and a hash of the input. The log is exportable for compliance reviews.

Which models can we use?

Claude, GPT-4o, Llama, and others under the same gateway. You can switch or blend models per use case without a new integration.

Who manages AiTLLM?

Intelligent Group deploys it as part of your managed-IT environment and handles model contract management, gateway patching, log retention, and quarterly usage reporting.

See AiTLLM in action

Book a walkthrough to see how AiTLLM maps to your current AI policy, or lack of one.

Book a Call