01
You’re about to launch
The demo works, but you do not know what happens when users retry, data is incomplete, or a provider times out.
AI-built app rescue starts here
Your AI-built app works. Is it ready for real users?
A senior engineer pressure-tests one critical journey across the deployed product, relevant code and configuration, security boundaries, integrations, release controls, deployment, and failure paths. You leave with a clear GO, CONDITIONAL GO, or NO-GO decision in 48 hours.
- 48h
- Decision turnaround
- $1k
- Entry price
- 1
- Critical journey
AI app rescue brief
Customer Support Agent
Failure paths
03identified
Critical risk
Duplicate action after timeout
Missing controls
- Idempotency boundary
- Recovery state
- Human approval boundary
You’re probably here because
The demo works. The release is still a question.
AI helped you move quickly. Now the risk is in the edges: permissions, data, retries, integrations, deployment, and the gaps a happy-path demo cannot prove.
02
Something is breaking
A bug, permission gap, duplicate action, or brittle integration needs evidence and an owner—not another patch.
03
Your team needs a decision
Engineering or leadership needs to know what blocks release, what can wait, and who should fix it.
04
The platform is becoming a constraint
The app works, but lock-in, technical debt, or an unclear handoff makes the next change risky.
The core three
Review first. Rescue the right layer.
Start with independent evidence, then fix the finite bugs, systemic reliability gaps, or cross-system boundaries that actually block production.
Start here
01AI App Rescue
48-hour Launch Readiness Review
Your AI-built app works. You need an independent senior review before real users find the gaps.
$1,000 to $1,500 · 48-hour launch decision
See AI App Rescue scopeCore engagement
02Reliability Sprint
AI Reliability Sprint
The review found a systemic reliability gap that needs evaluations, controls, or recovery work.
$4,500 sprint · Focused sprint, then optional retainer
See Reliability Sprint scopeExpansion
03Workflow Integration
Custom AI Workflow Integration
The rescue crosses APIs, business systems, or a platform boundary that needs a production build.
$10,000 to $35,000 · Milestone-based project
See Workflow Integration scopeHow the review works
A small boundary. A usable release decision.
One named journey, one senior engineer, and a 48-hour evidence trail your team can use to fix the right layer.
01
Map
Trace one critical journey from user intent through the app, model, tools, and external effects.
02
Break
Exercise the auth, data, integration, retry, mobile, and failure paths a demo rarely proves.
03
Control
Separate launch blockers from later work and identify controls, owners, and recovery paths.
04
Prove
Receive a GO, CONDITIONAL GO, or NO-GO decision, evidence register, ranked backlog, and readout.
Evidence before commitment
See what a senior review leaves behind.
A trustworthy rescue path comes with evidence, owners, and a next step your team can act on.
Synthetic sample
Conditional go
Seven gates checked. One high-impact boundary contained. Conditions and next owner recorded.
01
Case study · 01Conversational AI
Operating system
AI operations
01 · Multi-tenant organisation and role controls02 · Reusable AI employee personas and working rules
01 · Conversational AI
Omnichannel AI operations platform
One workspace to create, control, and run AI assistants across six messaging channels.
Read case study02
Case study · 02Mobility operations
Operating system
Fleet operations
01 · Rental booking and monthly lease lifecycles02 · Vehicle availability and conflict checking
02 · Mobility operations
Connected fleet and rental operations
One system for bookings, vehicle availability, payments, GPS events, owner earnings, and reconciliation.
Read case study03
Case study · 03Hospitality technology
Operating system
Conversational commerce
01 · QR-to-WhatsApp customer entry02 · Natural-language menu and quantity parsing
03 · Hospitality technology
Conversational ordering and kitchen control
A WhatsApp ordering flow connected to menus, kitchen queues, staff actions, customer updates, and feedback.
Read case studyQuestions before you book
What happens after the prototype works?
The short answers to the questions founders, agencies, and small teams ask before handing over an AI-built app for review.
The next useful move
Before you ship it, know how it fails.
Give us one critical journey. We’ll map the production failure paths, identify the controls that matter, and give your team a clear release-readiness decision.
$1,000–$1,500 · 48 hours · one critical journey