Insurance workflow reliability lab
30 fictional cases compare an incomplete toy simulator with an independent oracle. Planted faults demonstrate the method, not customer or model performance.
Intelligence.
Engineered.
Find where your AI agent can make the wrong call. One workflow, $1,000; report in 3–5 business days.
Roman Dziavgo, founder of AI Studio HQ. LinkedIn profile
For engineering teams with an AI agent that approves, routes or executes business actions.
We trace evidence, tool permissions and human approvals to find where a decision path can break.
Route a decision. A demonstration of the rule, not a live system.
Illustrative request:
Contract clause flagged
Rejected and recorded
A person decides
A person approves
All three proven
ActionThe system proceeds and records its evidence.
Contract clause flagged. The action has an external effect, so a person approves it before it runs.
No decisions routed on this visit.
A bounded first engagement.
For the people responsible
One workflow. Clear boundaries.
For teams whose AI-agent decisions or tool actions can affect a real business process.
AI Agent Reliability Assessment
$1,000 per agreed workflow.
Fixed scope. Typical delivery in 3–5 business days after agreed materials are available.
View founder profile- We examine
- Evidence, decision boundaries, tool permissions, human approvals and failure recovery.
The assessment
Find where the workflow can be wrong, unsafe or difficult to verify.
One agreed workflow, assessed using supplied specifications, representative examples and, when available, a bounded test environment.
What you receive
- Map
- Workflow, inputs, decisions, tools and approval points.
- Evidence
- Documented scenarios, observed findings, severity, confidence and reproduction steps where possible.
- Priorities
- Limitations stated plainly; engineering remedies ordered by risk.
Scope and limits
Not a penetration test, security certification, regulatory approval or guarantee against incidents. The initial assessment does not require unrestricted production access.
Evidence, not borrowed claims.
See how we record findings, evidence and engineering remedies in a 30-case fictional insurance workflow.
Synthetic results demonstrate the method; they are not client results or real LLM performance.
- Testable scenarios and expected outcomes.
- Observed mismatches are separated from hypotheses.
- Unknowns stay explicit until tested.
Systems and research.
The assessment is the initial offer. Engineering, implementation and research are separately scoped.
How an assessment proceeds.
- 1
Agree the boundary
Choose one workflow, decision and available evidence.
- 2
Map and challenge
Trace inputs, decisions, tools and approvals against bounded scenarios.
- 3
Report what was observed
Separate evidence, inference and untested areas; prioritize practical remedies.
Any production tests require explicit authorization and a separately agreed scope.
Start with one workflow.
The assessment is scoped to one agreed workflow and the evidence available.
We agree one workflow and send a written scope before any payment or work.
Typical delivery is 3–5 business days after materials arrive. We can sign an NDA if needed.
Do not send credentials, customer records or client data before a secure process is agreed.
View founder profile on LinkedIn
Opens the public LinkedIn profile; message availability depends on LinkedIn. No information is collected on this site. Do not share client records, credentials or personal data before agreeing a secure process.