01
Security that exists only in the interface
Client-side checks, missing ownership validation, exposed secrets and overpowered admin paths remain invisible during a happy-path demo.
AI production rescue
Turn an AI-Built App into a Production-Ready Product
A fixed-scope technical audit for founders who have a working application but do not yet trust it under real users, real data, real payments or real failures.
No forced rewrite. No vague architecture theatre. You get a risk-ranked decision and a practical 30-day plan.
600+developers supported through platform engineering
100+external entities integrated in national-scale systems
Fixedscope, price and deliverables
30 daysprioritized remediation roadmap
The hidden gap
A convincing demo can still be an unsafe production system.
Rapid AI-assisted development compresses build time. It does not remove the need to prove identity, data integrity, recovery, failure handling and operational control.
02
Retries that duplicate real-world actions
Repeated webhooks, partial writes and provider retries can create duplicate charges, messages, orders or tool actions.
03
AI workflows without hard boundaries
Prompt injection, malformed output, unsafe tool calls and runaway cost require deterministic controls and approval gates.
04
Deployments with no safe reversal
A release is not controlled when rollback, configuration, migrations and environment separation depend on improvisation.
05
Backups that have never restored
A backup file is not a recovery capability until the team can restore the required data within an accepted time.
06
Incidents no one can reconstruct
Without structured logs, meaningful metrics and clear ownership, the team learns about failure from customers.
Audit scope
The system is reviewed as an operating product, not only as code.
The focus is the smallest set of risks that can block launch, damage customer trust or create emergency engineering work.
Architecture and critical flows
Boundaries, state changes, concurrency, queues, integrations and cascading failure.
Identity and authorization
Authentication, roles, ownership, tenant isolation, admin access and service identity.
Data and recovery
Integrity, transactions, idempotency, sensitive data, retention, backup and restore.
AI and automation controls
Input/output validation, tool permissions, approval gates, cost, latency and fallback.
Deployment and operations
Build, configuration, rollback, observability, alerts and incident ownership.
Capacity and dependencies
Load, resource limits, provider failure, continuity and customer-impact protection.
Process
Fast enough to support a decision. Rigorous enough to be useful.
Qualify and establish the boundary
A 20-minute fit call confirms the business event, the risk, the evidence available and whether this audit is the right service.
Review code, configuration and operations
Read-only evidence is reviewed around the critical flows most likely to affect customers, revenue, data or trust.
Decide, prioritize and verify
You receive the scorecard, findings, 30-day plan and a recorded walkthrough. Implementation is optional and separately scoped.
The entry offer
Production Readiness Audit
Designed to replace uncertainty with a clear technical and commercial decision.
Fixed scope and deliverables
- Executive risk summary and readiness scorecard
- Evidence-based findings with severity and business impact
- Recommended fix and verification test for each priority issue
- 30-day roadmap and recorded 60-minute walkthrough
Engineering assessment only. Not a penetration test, compliance attestation, legal opinion or guarantee that no defect exists.
Your reviewer
Ilan Melki
Distributed Systems Architect, Backend and AI Engineer
The review combines architecture, software delivery and operating-risk judgment across modern backend, cloud, event-driven and AI systems.
Contact IlanSenior technical judgment without a full-time CTO hire.
Ilan led national-scale backend modernization and developer-platform work supporting 600+ engineers, with integrations serving 100+ external entities. His applied projects span tool-using AI assistants, memory systems, content automation, event-driven services and trading infrastructure.
✓
Distributed systems and backend architecture
.NET, Node/Nest, Python, databases, queues, caching and event-driven design.
.NET, Node/Nest, Python, databases, queues, caching and event-driven design.
✓
Cloud and production operations
Containers, Kubernetes, CI/CD, configuration, observability and failure recovery.
Containers, Kubernetes, CI/CD, configuration, observability and failure recovery.
✓
Applied AI automation
Tool permissions, approval gates, memory, orchestration, cost and operational boundaries.
Tool permissions, approval gates, memory, orchestration, cost and operational boundaries.
Free diagnostic
The 27-Point AI App Production Readiness Checklist
Score the controls that matter before real customers expose the gaps. The useful signal is not only the total; it is whether a critical flow has a zero.
Questions
What the audit is - and what it is not.
Will you tell us to rewrite the application?
Not by default. The goal is to identify the smallest reliable actions that protect the next business step. A rewrite recommendation must be justified by evidence and compared with less disruptive options.
Can our current developer implement the findings?
Yes. The report is designed to be actionable by an existing team. A separately priced Rescue Sprint is available when you need implementation help.
Do you need production access?
Read-only evidence is preferred. A test environment, source snapshot, logs, dashboards and targeted interviews may be sufficient. No destructive or production-mutating action occurs without explicit approval.
Is this a penetration test or compliance audit?
No. It is an engineering production-readiness assessment. Formal security testing, legal opinions and regulated compliance attestations require the appropriate specialist engagement.
When does the 72-hour clock begin?
After payment and all required access are complete and tested. Missing evidence pauses the delivery window rather than producing false certainty.
Know what must be fixed before customers find it for you.
Start with a 20-minute fit call. The audit is offered only when the scope and evidence make it useful.