Before spending on AI builds.
Inspect the structural foundation.
We conduct multi-layer diagnostic stress tests across your vector embeddings, API token economics, security perimeters, and business ROI—giving you an unbiased pre-flight report before you invest.
Unstructured PDF tables and fragmented chunking causing 26% retrieval inaccuracies and hallucinated responses.
Implement hybrid BM25 + dense vector indexing with dynamic semantic chunking and automated metadata tags.
How much operational waste is hiding in your AI stack?
Unoptimized model routing, redundant token calls, and manual triage errors drain six figures annually. Adjust the sliders below to estimate your potential audit savings.
The 10-Day Diagnostic Sprint Lifecycle
A rigorous, structured engineering sprint designed to uncover architectural vulnerabilities with minimal internal team disruption.
Confidential Architecture & Data Ingestion
Under strict NDA, we inspect codebases, database schemas, API latency, vector chunking strategies, and token cost accounts.
Diagnostic Stress-Testing & Vulnerability Probing
We stress-test prompt injection resilience, benchmark RAG recall accuracy, evaluate token over-expenditure, and isolate edge-case failure modes.
Model Routing & Financial ROI Modeling
We construct a quantified cost-benefit model, benchmark open-source vs. frontier models, and engineer a prioritized 12-month roadmap.
Executive C-Suite Briefing & Engineering Spec
We deliver a vendor-agnostic technical specification and executive briefing deck with immediate 30/60/90-day execution milestones.
The 4 blindspots that sink enterprise AI initiatives.
Most failures aren’t caused by the underlying foundation models—they are caused by brittle chunking, missing guardrails, and uncontrolled compute spend.
The Silent Token Bleed
Calling expensive frontier LLMs ($0.03/1k tokens) for routine classification and deterministic data routing.
Specialized Small Language Model (SLM) routing + semantic caching layer.
The Unindexed Vector RAG Trap
Fragmented chunking and missing metadata causing 25%+ hallucination rates on complex PDF contracts.
Hybrid BM25 + dense embeddings with automated document restructuring.
The Shadow PII Exposure
Transmitting unmasked customer identifiers and proprietary data across external public APIs.
Local air-gapped scrubbing proxy with deterministic schema guardrails.
The Stalled Staging Experiment
80% of internal AI proof-of-concepts stall in staging due to unbounded edge cases and missing human handoffs.
Deterministic exception routing and human-in-the-loop operational portals.
Zero Data Retention. Zero Vendor Bias. 100% Client Ownership.
We do not resell vendor licenses, take platform commissions, or push pre-selected proprietary frameworks. Our audit findings and engineering specifications are 100% vendor-agnostic and owned by your organization.
All technical evaluations are conducted under strict bilateral NDAs with air-gapped zero-retention inspection protocols. Your customer records and codebases are never stored, logged, or used for model training.
Select the diagnostic depth tailored to your stack.
From rapid 3-day feasibility checks to full-scale enterprise systems audits, choose the engagement that delivers actionable clarity.
Comprehensive AI Systems Audit
Complete end-to-end evaluation spanning infrastructure, data hygiene, security boundaries, model economics, and prioritized ROI roadmaps.
Targeted Workflow Feasibility Scan
A focused evaluation of a single mission-critical manual workflow or dataset before committing capital to full-scale development.
Quarterly Security & Cost Governance
Continuous oversight of live AI systems to eliminate prompt injection risks, enforce PII masking, and prevent token spend creep.
Audit Details & Confidentiality
Key details regarding timeline requirements, security NDAs, stakeholder time commitments, and deliverable ownership.
Our standard comprehensive AI systems audit is completed in exactly 10 business days. It is engineered to require minimal time commitment (2–3 hours total across key stakeholder interviews) from your internal engineering and executive leadership.
Ready to validate your enterprise AI roadmap with zero risk?
Schedule a 20-minute executive briefing with our principal AI architects. We will discuss your technology stack, identify immediate diagnostic vectors, and outline a fixed-scope audit sprint.