Your Lovable, Cursor, or Bolt prototype works in demo — we fix auth, RLS, secrets, edge cases, and QA gaps before you point paying customers at it.
Lovable · Cursor · Bolt · Supabase RLS · QA sign-off
30 minutes · Senior engineer · No commitment
What AI builders skip — and hackers exploit.
Fix broken auth flows, session leaks, and password reset edge cases.
Supabase/Postgres policies that actually isolate tenant data.
API keys out of client bundles, env separation, and rotation plan.
Stripe webhooks, trial edge cases, and failed payment flows tested.
N+1 queries, unbounded lists, and mobile perf fixes.
Regression on critical paths with documented go/no-go.
Founders and teams at the production cliff.
Investors and customers incoming — need confidence in security.
Data leak discovered — emergency hardening and audit.
Apple/Google rejection for stability or privacy issues.
Prospect security questionnaire blocking the contract.
Teams evaluating harden ai-generated apps typically hit these blockers before finding a reliable partner.
Hiring more support staff doesn't fix broken workflows or missing automation.
SaaS subscriptions pile up without measured impact on the target metric.
Internal teams stuck on maintenance can't ship the fix that moves KPIs.
Without before/after data, stakeholders can't justify continued investment.
150+ products shipped · US/UK/AU clients · Engineer-led delivery with QA sign-off.
We design for monitoring, escalation, and maintainability — not demo-day screenshots.
Laravel, React, Node, Flutter, n8n, and LLM integrations from one accountable team.
KPIs defined upfront — deflection rate, lead speed, defect escape, or time-to-market.
Fixed milestones with weekly demos so scope surprises don't appear at invoice time.
Typical harden ai-generated apps engagement from baseline metrics to measurable ROI.
Stack chosen for your constraints — we don't force a template that fights your team's skills or compliance needs.
Scoped API keys and service accounts — never full admin unless required and approved.
PII redaction, audit logs, and NDAs before production credentials.
“What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.”
Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.
Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.
Harden AI-generated apps is a focused engagement that audits and fixes security, authentication, database access control, payment flows, and quality gaps in applications built with Lovable, Cursor, Bolt, or similar AI coding tools — delivering production readiness with QA sign-off.
Typical timeline: Diagnostic: 1–2 weeks. Implementation: 4–12 weeks. Dedicated squad: monthly retainer.
GreeLogix pricing tiers: Diagnostic Sprint: $2,500 – $6,500 — Map the problem, quantify ROI, and deliver a fixed-scope implementation plan. Implementation: $8,500 – $35,000 — Build and deploy the automation or product fix with measurable outcomes. Outcome Retainer: $5,500 – $14,000/mo — Continuous optimization against KPIs — deflection rate, lead speed, or release velocity.
Diagnostic: 1–2 weeks. Implementation: 4–12 weeks. Dedicated squad: monthly retainer. Phases: Diagnose (Week 1); Pilot build (Weeks 2–5); Production rollout (Week 6); Optimize (Days 30–90).
Compared to alternatives — In-house hire: choose when 12+ month roadmap with budget for recruiting and management; Offshore body shop: choose when Well-defined tasks with internal tech lead and QA; DIY no-code tools: choose when Simple workflows under 500 monthly actions with no compliance needs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
Answers to the buyer questions we hear most before a project starts.
Map goals, stack, timeline, and success metrics.
Fixed milestones, pricing, and delivery plan.
Iterative delivery with staging reviews each week.
Production deploy, docs, and optional retainer.
Share your stack and launch date — start with our free AI audit.
Validate AI-generated code, ship with confidence, and catch issues before launch.
Case studies, guides, and free tools from the same engineering team.
We start with the business metric — then reverse-engineer the smallest reliable fix.
Baseline metrics: ticket volume, lead response time, error rate, or release defects.
Compare build, buy, and hybrid options with ROI and risk for each.
Ship a narrow slice that proves value before scaling scope.
Track KPI movement weekly; adjust prompts, workflows, or code based on data.
Expand coverage or transfer runbooks to your internal team.
Tangible artifacts your engineering and product teams can act on — not vague pass/fail notes.
Transparent ranges based on app complexity, platform count, and engagement depth. Final quotes follow a scoping call.
$2,500 – $6,500
Map the problem, quantify ROI, and deliver a fixed-scope implementation plan.
$8,500 – $35,000
Build and deploy the automation or product fix with measurable outcomes.
$5,500 – $14,000/mo
Continuous optimization against KPIs — deflection rate, lead speed, or release velocity.
Prices in USD. Retainers and multi-platform engagements quoted after scope review. QA as a Service available for ongoing coverage.
Outcome-led engagements for support costs, lead qualification, legacy rescue, and launch velocity.
Browse the full business solutions cluster from our Business Solutions.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.