AI App Modernization
Your team built it with AI. We connect it to Salesforce and keep it running.
People across your organization are building internal tools with Lovable, Claude, Cursor, Replit, and other AI platforms. Dashboards, intake forms, customer portals, reporting tools, onboarding workflows — built in hours, solving real problems.
But none of them talk to Salesforce.
The data lives in spreadsheets, personal databases, and free-tier accounts. It's disconnected from your CRM, invisible to your pipeline, and outside your security perimeter. Your team solved the right problem on the wrong foundation.
This is shadow AI — the new shadow IT. Employees are vibe coding tools that work for their team but create data silos, security gaps, and integration debt across your Salesforce org.
We take what your team built, connect it to Salesforce as the system of record, move it to production infrastructure, and manage it so it stays up, stays secure, and stays in sync.
The Problem
The Salesforce Disconnect
These AI-built apps exist for a reason — someone needed data that lives in Salesforce but couldn't get to it the way they needed.
A sales manager wanted a visual pipeline tracker that Salesforce reports couldn't do. An ops lead needed a customer onboarding checklist that crossed multiple objects. A partner manager needed an external portal but couldn't wait six months for Experience Cloud.
So they built it themselves with AI. And it works — except:
The data is a copy, not a connection
They exported a CSV from Salesforce last Tuesday. Every decision since then has been made on stale data. New opportunities, updated stages, closed deals — none of it reflected in the tool people are actually using.
Nothing writes back
The onboarding tracker captures information that should be on the Account or Contact record in Salesforce. Instead it lives in a spreadsheet. Your reps don't see it. Your reports don't include it. Your automation doesn't trigger from it.
There's no single source of truth
Now you have two versions of the data — one in Salesforce and one in the app. They diverge immediately. Which one is right? Depends on who you ask.
We fix this by making Salesforce the backbone of every app your team builds.
Our Process
How We Do It
Assessment — Find what's been built and map the data flows
We inventory every AI-built app in your org — every vibe-coded dashboard, every Lovable prototype, every Replit tool accessing Salesforce data. For each one we answer:
- What Salesforce data does it need?
- What data should it write back to Salesforce?
- Who uses it and what access should they have?
- Where does it live today and what's the security posture?
You get a prioritized roadmap: which apps to connect, what to rebuild, and what to retire.
What you get
- Complete inventory of AI-built apps and their Salesforce data dependencies
- Security and compliance risk assessment for each app
- Data flow mapping showing what reads from and writes to Salesforce
- Prioritized roadmap: connect, rebuild, or retire
Architecture — Design the Salesforce integration
Every app gets an integration architecture that keeps Salesforce as the source of truth.
Real-time sync
Platform Events and Change Data Capture for apps that need to reflect Salesforce changes instantly. When a deal closes in Salesforce, the external dashboard updates in seconds.
REST API integration
Secure, authenticated connections from external apps to Salesforce data using Named Credentials and connected apps. Proper OAuth flows, not hardcoded credentials.
Bidirectional data flow
The app doesn't just read from Salesforce, it writes back. Form submissions create Leads. Status updates change Opportunity stages. Activity gets logged. Salesforce stays complete.
Salesforce-native where it makes sense
Some apps don't need external infrastructure at all. A custom LWC dashboard, a Screen Flow, or an Experience Cloud portal might do exactly what the AI-built app does — but natively inside Salesforce with no integration to maintain.
Migration — Move to real infrastructure
For apps that need to live outside Salesforce, we move them to production-grade platforms.
Most apps end up as a combination — a Vercel frontend, a Supabase or Railway backend, and Salesforce as the system of record underneath. We architect the full stack and build the integrations between all of them.
Vercel
Frontends, customer-facing tools, and apps that need fast global delivery. Connected to Salesforce via secure API routes.
Railway
Backend services, API middleware, cron jobs, and sync workers that keep external databases aligned with Salesforce data.
Supabase
Apps that need a real database with authentication, row-level security, and real-time subscriptions. Replaces the spreadsheets and Airtable bases with a governed Postgres database that syncs to Salesforce.
Managed services — We keep it running and connected
After migration, we manage the infrastructure and the Salesforce integration on an ongoing basis.
Salesforce sync monitoring
Integrations break. APIs change. Salesforce releases three times a year. We maintain the connections between your external apps and Salesforce so data keeps flowing and nothing silently stops syncing.
Uptime & availability
We monitor every deployed app and service. If something goes down, we handle it — not your team.
Security & patching
Dependency updates, credential rotation, SSL management, vulnerability monitoring. Regular reviews of API keys, OAuth tokens, and access controls across both Salesforce and external infrastructure.
Backups & recovery
Automated database backups, point-in-time recovery, Salesforce data exports. Tested restore procedures, not just hope.
Scaling
When the tool built for 10 people suddenly has 500 users, we handle it. Database connection pooling, CDN configuration, service scaling, Salesforce API limit management.
Cost management
Monthly reporting on infrastructure spend. We right-size your plans so you're not burning money on over-provisioned services.
Shadow AI Governance
Help your teams keep building the right way
We don't just fix what's already been built. We give your teams a governance framework to keep building with AI tools in a way that connects to Salesforce from day one.
Platform guidelines
Which tools are approved, how to connect to Salesforce data, what every app needs before it goes live. Not bureaucracy — a recipe for doing it right the first time.
Review pipeline
When someone builds something worth keeping, they bring it to us. We review the architecture, design the Salesforce integration, migrate it to managed infrastructure, and add it to our monitoring.
Quarterly health checks
We audit every managed app and its Salesforce integration for security, performance, sync integrity, and cost optimization.
Why Cumulus Vision
Salesforce depth is what makes this different
We've been building Salesforce solutions for 13 years — custom Apex, complex integrations, LWC components, and API architectures for mid-market and enterprise B2B organizations. We understand the Salesforce data model, the API limits, the security model, and the three-times-a-year release cycle that breaks things.
That Salesforce depth is what makes this service different from a generic DevOps shop. Anyone can deploy an app to Vercel. We deploy it to Vercel and connect it to your Salesforce org with proper authentication, field-level security, real-time sync, and an integration architecture that doesn't fall over when Salesforce pushes a release.
We also build apps that don't touch Salesforce. If your team built something that connects to other systems — ERPs, data warehouses, third-party APIs — we handle that too. But Salesforce integration is where we go deepest and where most of our clients' data lives.
If it touches Salesforce — or should — we're your people.
FAQ
Common Questions About Shadow AI and Vibe-Coded Apps
What is shadow AI and why is it a problem for Salesforce orgs?
Shadow AI refers to AI-built tools and applications created by employees outside of IT oversight — using platforms like Lovable, Cursor, Replit, and Bolt. These tools often rely on exported Salesforce data (CSV files, manual copies) rather than live connections. The data quickly becomes stale, nothing writes back to Salesforce, and you end up with two conflicting versions of your business data. This creates security risks, compliance gaps, and unreliable reporting.
Are AI-built apps from Lovable, Cursor, or Replit secure enough for enterprise use?
Not out of the box. AI-built apps often launch on free-tier hosting with no authentication, no encryption at rest, and no access controls. They may store sensitive business data in personal databases outside your security perimeter. With proper migration to production infrastructure and secure Salesforce integration using OAuth and Named Credentials, these apps can meet enterprise security standards — but they need architectural review and hardening first.
How do you connect a vibe-coded app to Salesforce?
We design integration architectures using Salesforce REST APIs with proper OAuth authentication, Platform Events and Change Data Capture for real-time sync, and bidirectional data flows so the app both reads from and writes back to Salesforce. Some apps are better rebuilt natively in Salesforce using LWC or Experience Cloud. We assess each app and recommend the right approach.
What happens to the AI-built apps my team already created?
We start with a discovery audit — inventorying every AI-built app, mapping its data flows to and from Salesforce, assessing its security posture, and identifying who uses it. You get a prioritized roadmap: which apps to connect to Salesforce, which to rebuild natively, and which to retire. Apps worth keeping get migrated to managed infrastructure with proper Salesforce integration and ongoing monitoring.
How do you prevent AI app sprawl from happening again?
We establish a governance framework that includes platform guidelines (approved tools, Salesforce connection requirements, go-live checklists), a review pipeline for new apps, and quarterly health checks across all managed applications. The goal is not to stop teams from building — it's to give them a path from prototype to production that connects to Salesforce from day one.
What is vibe coding and why should enterprise Salesforce teams care?
Vibe coding is the practice of building applications through conversational AI tools like Cursor, Lovable, Replit, and Bolt — often without traditional programming expertise. Enterprise teams should care because employees are using these tools to build internal apps that access or replicate Salesforce data without IT oversight. These apps solve real problems but create data silos, security gaps, and integration debt that compounds over time.
Get Started
How to Start
Discovery
We audit what's been built, map the Salesforce data flows, and flag the risks. Fixed fee engagement.
Migration plan
Where each app goes, how it connects to Salesforce, what the ongoing management looks like, and what it costs.
Migration & go-live
Apps move to managed infrastructure, Salesforce integrations go live, monitoring starts. Your team keeps building — now with a path from prototype to production.
Ready to connect what your team built?
Let's audit your AI-built apps and create a plan to connect them to Salesforce.