SaaS Product Development
Turn your installed software into a hosted SaaS product
If your software is installed at each customer or runs one copy per client, we help you turn it into a hosted product that serves everyone from one place.
The problem
The problem this solves
Plenty of successful software was built before the cloud became the default. It is installed on customer computers or servers, each copy slightly different, updated by hand or not at all. Support means remote sessions. New features take months to reach everyone.
Customers now expect to log in from a browser, get updates automatically and pay monthly. Competitors built as SaaS move faster. Meanwhile, the old codebase carries years of technical debt and knowledge that lives in a few people's heads.
Moving to SaaS is not a lift-and-shift. It changes how data is stored, how customers are separated, how you bill and how you release. We plan it as a series of safe steps: understand what the current software really does, decide what to keep, build the hosted version around the core workflows, and move customers over in groups while the old version keeps running. Many of the same techniques apply to legacy modernization.
The business side matters as much as the technical side. Pricing, contracts, data ownership and support all change when software becomes a service, so we plan those conversations alongside the build.
What you get
What you get
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Current system analysis
A map of features, data, integrations and customizations in the existing software.
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Migration plan
What to rebuild, what to retire and in which order, with risks and milestones.
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Multi-tenant platform
A hosted product where each customer's data is separate and every customer runs the same version.
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Cloud hosting
Reliable cloud hosting with backups, monitoring and automatic deployments.
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Subscription billing
Plans and billing that fit a service model instead of one-off licenses.
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Data migration tools
Scripts that move each customer's data safely, with checks and rollback.
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Customer rollout
Groups of customers moved in stages, with support and communication plans.
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Documentation
The knowledge in people's heads written down for your team.
How we build it
How we build it
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1
Understand
We study the code, data and customer setups, with help from AI to read large codebases quickly.
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2
Plan
We agree what the hosted product must do on day one and what comes later.
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3
Build the core
The hosted platform built around the most-used workflows.
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4
Pilot migration
A few friendly customers moved first, with close support.
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5
Roll out
Remaining customers moved in groups, and the old version retired on a clear date.
AI and people
Where AI helps, where people decide
AI makes the repetitive parts faster. The decisions that shape your product stay with experienced people.
Where AI speeds things up
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Reading and summarizing a large, old codebase quickly.
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Documenting features and business rules nobody wrote down.
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Generating tests that capture how the old system behaves.
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Drafting data migration scripts and validation checks.
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Producing customer-facing migration guides.
Where people decide
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Which features customers really use, and which can go.
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The target architecture and hosting.
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The new pricing and licensing model.
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Which customers move first, and when.
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When the old version is retired.
Is this right for you?
When this is the right choice
A good fit when
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Your software is installed at each customer today.
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Updates take months to reach every customer.
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Customers ask for browser access and monthly pricing.
Consider something else when
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Customers require the software to run inside their own network. A managed private deployment may fit better.
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The product is near the end of its life and will not be sold for much longer.
Timeline and cost
What affects the timeline and cost
SaaS migrations are measured in months rather than weeks, because the old system keeps running while the new one takes over. The first customers usually move within the first few milestones, and the rest follow in groups.
We do not publish fixed prices because scope drives cost. How we estimate.
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Size of the existing system
More features and modules mean more to understand and rebuild.
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Customer customizations
Custom versions per customer must be reconciled into one product.
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Data volume and quality
Large or inconsistent data needs more migration and cleanup work.
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Integrations
Connections to customer systems must be rebuilt for a hosted model.
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Security and compliance
Hosting customer data centrally brings new security obligations.
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Number of customers
More customers mean more migration waves and support.
Keep exploring
Related services, solutions and reading
Related services
View all related services- SaaS Product Development MVPs, subscription platforms, admin panels and multi-tenant products, planned to grow past the first launch.
- Multi-tenant architecture One product serving many customer accounts, with each account's data kept separate and secure.
- Internal tools Custom software for your own team: trackers, approval flows and back-office systems that replace spreadsheets.
- MVP development A first version with just enough features to put in front of real users and learn what to build next.
- Product scaling Keep a growing product fast and stable as users, data and features increase.
- App backend and APIs The servers, databases and APIs behind your app: accounts, data sync, notifications and payments.
Solutions
View all solutions- AI automation and integrations Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.
- Compliance tracking Track filing deadlines, licenses and obligations in one place, with reminders and AI summaries of relevant rule changes.
- Automated quoting Draft accurate quotes and proposals from a request, your price rules and past work, for a person to approve.
- Approval workflows Requests, approvals and reminders in one place, with clear owners and deadlines instead of long email threads.
- Internal help desk assistant An assistant in Slack or Teams that answers policy and how-to questions from your handbooks and opens tickets when needed.
- Payroll automation Turn pay rules, attendance and leave into tested software so the monthly run becomes a review and payslips go out in one batch.
Industries
View all industries- Professional services Client portals, proposal drafting, knowledge assistants and internal tools for consultancies, agencies and firms.
- Manufacturing Quality inspection, production dashboards, quoting tools, knowledge assistants and legacy system modernization for manufacturers.
- Tax and compliance services Client portals, document checklists, case queues and deadline tracking for tax preparers and compliance firms.
Case studies
View all case studiesGuides and articles
View all guides and articles- How we review AI-generated code The checks we apply to every AI-assisted change, from tests and security to readability and business rules.
- Multi-tenant SaaS architecture explained How SaaS products serve many customers from one system, the main design options and how to choose.
- How to migrate a legacy application Replace an old system step by step without stopping the business, with tests, data checks and a way back.
MCP servers
View all mcp servers- Cloud and infrastructure Servers that connect AI to cloud platforms and hosting, for documentation, resources, deployments and logs.
- Coolify Coolify's official MCP server lets AI see self-hosted infrastructure, find unhealthy resources, review deployments and deploy with the right token.
- AWS The AWS API MCP server from AWS Labs lets AI run AWS CLI commands, suggest commands and plan changes, with read-only and consent modes.
- Azure Microsoft's Azure MCP server lets AI work with many Azure services, from storage and Key Vault to SQL, monitoring and AKS, with a read-only mode.
- Cloudflare Cloudflare's Code Mode MCP server lets AI search Cloudflare docs and the API and execute API calls, within the scopes you grant.
- DigitalOcean DigitalOcean's MCP server lets AI list and inspect resources and create, update and delete apps and infrastructure.
Glossary terms
View all glossary terms- SaaS SaaS, or software as a service, is software delivered over the internet on a subscription, rather than installed and owned by each customer.
- Cloud hosting Cloud hosting runs websites and applications on servers rented from a provider, which can grow or shrink with demand.
- Technical debt Technical debt is the future cost of shortcuts taken in software, such as quick fixes or missing tests, which make later changes slower and riskier.
- VPS A VPS, or virtual private server, is a rented virtual machine with its own resources, on which you can install and run your own software.
- Deployment Deployment is the process of releasing a new version of software to the servers where users can reach it.
- MVP An MVP, or minimum viable product, is the smallest version of a product that real users can use and pay for, built to learn quickly what works.
FAQ
Questions about SaaS migration
Have a question that is not here? Ask us directly.
Not always at once. We usually rebuild the core workflows first, keep some parts running as they are, and replace them over time. The plan depends on the state of the current code.
In stages. A few friendly customers go first, the old and new versions run side by side, data is moved with checks, and each group gets support and clear communication.
Options include a managed private deployment of the new product or a fixed end-of-support date for the old one. We help you decide based on contracts and revenue.
Most SaaS products move from one-off licenses to subscriptions. See subscription platforms and our guide on migrating a legacy application.