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Home/IT & AI Automation/AI Governance & Cost
IT & AI Automation · AI Governance & Cost

AI Governance & Cost

Audit model spend, lower token costs, and secure LLM inputs.

We optimize LLM API spend using prompt caching, routing pipelines, semantic gateways, and model pruning. Simultaneously, we implement security guardrails to scan for prompt injections, PII leaks, and hallucination metrics.

Get an Estimate← IT & AI Automation

40%+

Token Cost Reductions

100%

Input Scan Integrity

50ms

Gateway Overhead

SLA

Compliance Guarantees

What's Included

Governance & Cost Capabilities

LLM Token Cost Auditing

Analyze API logs across OpenAI, Claude, and Gemini to identify redundancy, unused tokens, and billing leakage.

Semantic Prompt Caching

Integrate semantic caches to return cached inputs for semantically similar prompts, reducing active model usage fees.

Dynamic Routing Gateways

Route simple text formatting queries to lightweight models, and escalate complex reasoning queries to Pro tiers.

PII Filtering & Masking

Automatically detect, mask, or scrub personally identifiable information (PII) before sending data to external APIs.

Prompt Injection Defense

Scan user prompt variables for indirect injection strings, prompt overrides, and malicious system instruction modifications.

Model Hallucination Audits

Deploy real-time assertion validators to score output accuracy and flag inconsistent model summaries.

How It Works

Our Delivery Process

01

Spend & Risk Audit

Analyze API logs and review current prompt designs.

We audit your existing application token billing details to identify redundant model requests, suboptimal prompts, and data leak vectors.

02

Gateway Proxy Setup

Integrate secure semantic caching proxy gateways.

Our squads deploy a proxy layer (e.g. using Cloudflare or Portkey) between your frontend code and model servers to intercept, cache, and audit traffic.

03

Guardrail Calibration

Deploy filters scanning for PII, injections, and drifts.

We configure scanning parameters (like LlamaGuard or custom regex) to block unauthorized outputs and log injection anomalies.

04

Optimizer Dashboard

Launch metrics panels tracking savings and safety.

We present a centralized dashboard showcasing cost delta savings, cache hits ratios, model response latency, and safety triggers.

What You Receive

Project
Deliverables

Every engagement comes with a clearly defined set of deliverables. No surprises, no scope creep — just high-quality output on time.

Secure semantic proxy gateway config files (Terraform/Cloudflare)
Model cost and performance audit reports documentation
PII masking and prompt injection scanning rules guide
Visual cost optimization tracking dashboard page
Refactored caching-friendly system prompt templates
Consolidated model routing rules configuration maps
PII logs audits tracking blocked input entries
Developer guide for local gateway testing integrations
SLA-guaranteed security guardrail deployment code
60-day gateway monitoring and support warranty
Interactive Estimator

Estimate Your AI Savings & Governance Setup

Define your average model volume and spend to outline setup and optimization costs.

Estimated Current Monthly LLM API Spend

Daily Active User Requests

500 requests5000 requests20000 requests

Guardrail Requirements

Request Custom Quote

Enter your contact details below. We will calculate the customized investment quote and timeline based on your selections and email it to you.

  • •Projected monthly savings: ~$1,750/mo (35% reduction).
  • •Semantic cache configurations included.
  • •Model safety guardrail scans integrated.
FAQ

Common Questions

Instead of querying the LLM for identical or highly similar user prompts (e.g. "Write a pitch letter" vs. "Write a sales pitch"), the semantic gateway returns the cached answer instantly, costing zero API tokens.
No. The gateway proxy checks add under 50ms of overhead, but when a cache hit occurs, it responds under 100ms (compared to standard LLM generation times of 2-5 seconds).
We deploy an input gateway scanning for adversarial instructions, delimiters overrides, and prompt leak attempts using advanced guardrail models.
No. The configurations, gateway rules, and semantic caches are fully open-source (built on Cloudflare Workers, Redis, or LiteLLM) and belong entirely to you.
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Remote-first team

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