Most AI systems look great in demos and fall apart with real data. Our audit uses 25 standardized retrieval tests, workflow evaluation, and hallucination risk scoring to find the failures before your customers do.
Book a Free Discovery Call30 minutes. No pitch. Just diagnosis.
The Problem
You shipped the agent. Leadership is excited. But support tickets are climbing, users are losing trust, and nobody can pinpoint why. These are the four failure modes we see over and over.
Your RAG pipeline returns confident, well-formatted answers that are completely wrong. The retriever pulls the wrong chunks, the LLM fills in gaps, and your users can't tell the difference.
Multi-step agent workflows fail silently. A tool call returns bad data, the next step processes it anyway, and the final output looks plausible but is built on a broken foundation.
When your agent doesn't know the answer, it should say so. Instead, it guesses. There's no clear handoff to a human, no confidence threshold, no graceful failure path.
Your system prompt started at 200 tokens and now it's 4,000. Every edge case got patched with another rule. The instructions contradict each other, and the model picks whichever one it finds first.
What You Get
Every audit follows our proprietary ATB/ATRD evaluation methodology, built from hundreds of production AI deployments across the Salesforce ecosystem and beyond.
We run your retrieval system through 25 tests using BEIR and RAGAS frameworks. You get precision, recall, faithfulness, and answer relevancy scores, not opinions. We test with your actual data, not synthetic examples.
We trace every step of your agent workflows, identifying where data degrades, where tool calls return unexpected results, and where the chain of reasoning breaks. Every failure point gets documented with reproduction steps.
We map every path your agent can take and identify where it should escalate to a human but doesn't. You get a complete escalation matrix with recommended confidence thresholds and handoff triggers.
Every response category in your system gets a hallucination risk score based on retrieval quality, prompt specificity, and domain complexity. You'll know exactly where your system is most likely to make things up.
We don't just hand you a report. We build a working demo showing the improvements, so you can see the difference side by side and show leadership exactly what's changing and why.
Investment
Priced by system complexity, not by the hour. You're paying for outcomes: a complete diagnosis and a clear remediation path.
Startup / Small Team
$5,000
For teams with a single AI agent or RAG pipeline that needs a reliability check before scaling.
Enterprise
$10,000 to $20K
For organizations running multiple agents, complex workflows, or customer-facing AI systems in production.
After the audit, we can build the fix. Our Custom Retriever and Workflow Remediation engagement takes the findings and implements them: rebuilt retrieval pipelines, re-architected prompts, proper escalation paths, and production-grade monitoring.
Custom Retriever + Workflow Fix: $10,000 to $30,000 depending on scope
Why Velza
Common Questions
Book a free 30-minute discovery call. We'll diagnose the problem together and tell you if the audit is the right next step.
Book Your Discovery CallOr email mike@velza.com directly.