AI Audit, Rescue & Optimization
A previous agency or rushed prototype shipped something that looked great in a demo but falls over in production—burning tokens, leaking data, or failing silently. We audit the system, find the root cause, deliver a prioritized developer-ready roadmap, and execute the refactor.
What We Deliver
- Comprehensive system audit: latency, token spend, security risks, and failure modes
- Root-cause architectural diagnosis with a prioritized developer-ready fix list
- Token-cost and prompt efficiency overhaul
- Full hands-on codebase refactor and stabilization
How we build and deploy.
Structured engagement from initial process audit to live production monitoring.
Architecture & Codebase Inspection
We examine the codebase, trace the request lifecycle, map external API calls, and uncover undocumented dependencies.
Token Profiling & Cost Analysis
We instrument token consumption by feature, identifying prompt bloat, redundant LLM calls, and missing cache opportunities.
Failure Mode & Guardrail Scan
We catalog silent failures, unhandled API timeouts, and security vectors (prompt injection, PII leakage).
Prioritized Roadmap Delivery
We deliver an actionable engineering document: ranked findings, estimated refactor effort, and projected cost savings.
Hands-On Refactor Execution
We execute the architectural refactor, stabilize dependencies, implement caching, and benchmark improvements.
Operational challenges we eliminate.
Your monthly OpenAI / Anthropic bill is 5x higher than budgeted
We audit prompts, eliminate duplicate queries, implement caching, and right-size model tiers.
Responses take too long and users think the application is broken
We implement streaming responses, parallelize independent calls, and enforce strict latency budgets.
You are terrified to touch the codebase because it has no tests
We add regression tests and evaluation datasets around critical paths before touching production logic.
Under the hood.
Deep architectural rigor built for software engineers and technical decision-makers.
Prompt Distillation & Compression
Reduces token consumption by trimming redundant system prompt instructions without sacrificing reasoning accuracy.
Semantic Caching Implementation
Intercepts repeat or similar queries at the Redis layer, eliminating redundant external model calls.
Model Routing & Tiering
Routes straightforward extraction tasks to lightweight models (GPT-4o-mini) and reserves premium models for complex reasoning.
Structured Observability Dashboards
Sets up LangSmith or Phoenix monitoring dashboards tracking per-request cost, latency, and error rates.
Where this applies.
Runaway LLM Token Bills
AI features burning thousands in monthly API fees due to unoptimized prompts and redundant calls.
Silent Production Failures
AI agents hanging, timing out, or failing silently without surfacing errors to administrators.
Unpredictable Latency Bottlenecks
Users waiting 15–30 seconds for responses due to synchronous chaining and oversized contexts.
Inherited Brittle Codebases
Stabilizing software built by a previous developer who left no documentation or tests.
Related business use cases.
Verified delivery standards.
Underwriting Acceleration
Finject MCA brokerage CRM with AI statement parsing
Brand-Compliant Social Reach
PostAutoPilot distributed social automation platform
Client Value Delivered
Over 200+ projects shipped across SaaS, AI, and workflow automation
Intellectual Property Guarantee
Clients own 100% of all custom code, prompt pipelines, and databases upon launch
Common questions about ai audit, rescue & optimization.
Q.How long does an audit take?
A standard audit takes 1 to 2 weeks. We deliver a detailed report with ranked findings, cost impact estimates, and a developer-ready roadmap.
Q.Do you also execute the fixes?
Yes. Most clients have us execute the refactor based on the roadmap we deliver. We can also partner with your existing developers to implement the recommendations.
Q.What access do you need to conduct the audit?
We require repository read access, sample production logs (sanitized of PII), and a brief walkthrough with your technical stakeholder.
Real software we have shipped.
Have a process that should work better?
Bring us the bottleneck, the brittle build, or the idea. We'll give you a direct read on what to do next.