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Service
SaaS products built to be sold, not just shipped
Turning software into a product means solving problems a bespoke build never faces: signing up strangers without a human, isolating tenants safely, and knowing which customers are about to churn.
Resultater
- A first paying tenant inside one release cycle
- Self-service signup, billing and upgrades
- Tenant isolation that survives due diligence
- Usage data you can price and forecast against
Service
Bruksområder
Vertical SaaS
A tool for one industry that knows its vocabulary and its compliance.
Productising an internal system
The system you built for yourself, turned into something you can sell.
Platform with partner tiers
Resellers, agencies and white-label tenants under one codebase.
Dette leverer vi
- Multi-tenant architecture and data isolation
- Subscription billing and metering
- Self-service onboarding and trials
- Admin tooling, impersonation and support workflows
- Feature flags and staged releases
- Uptime, backup and incident process
Who this is for
- Companies productising an internal system that other firms in their sector keep asking about
- Founders building a multi-tenant product with subscription billing from the start
- Teams replacing a per-client custom codebase with one configurable platform
When this is the wrong choice
- Single-tenant internal tools — multi-tenancy adds cost you will never recover
- Products where each client genuinely needs different core logic rather than configuration
Problems this solves
One codebase per client does not scale
Every fix must be applied five times. Multi-tenancy with per-tenant configuration ends that.
Billing built by hand
Proration, upgrades, dunning and tax are far harder than they look and are a common source of revenue leakage.
Onboarding needs a human every time
If a new customer cannot reach value without a call, growth is capped by headcount.
Architecture and integration
- Tenant isolation enforced in the data layer, not in application code where a missing filter leaks another customer's records.
- Billing through an established provider with webhooks reconciled against your own subscription state.
- Usage metering recorded as immutable events so invoices can be explained line by line.
- Per-tenant configuration and feature flags instead of forks of the codebase.
How delivery runs
- 01
Tenancy decision
Shared schema, schema-per-tenant or database-per-tenant, chosen against your data isolation and enterprise sales requirements — and documented.
- 02
Plan and entitlement model
Plans, limits and feature flags are designed as data so commercial changes do not require a release.
- 03
Core build
Product surface, admin surface and tenant provisioning built together; the back office is not an afterthought.
- 04
Launch readiness
Usage metering, subscription lifecycle, support tooling and status monitoring in place before the first paying customer.
Realistic timeline
Weeks 1–3
Tenancy, plan model, architecture.
Weeks 4–16
Product and admin build.
Weeks 16–22
Billing, metering, onboarding, hardening, first customers.
What moves the price
Isolation level
Database-per-tenant satisfies strict enterprise buyers and costs more in build and operations than a shared schema.
Billing complexity
Flat monthly plans are straightforward; seat-plus-usage with annual commitments and mid-cycle changes is not.
Admin and support tooling
Impersonation, audit, refunds and tenant migration are real features with real cost.
Where projects go wrong
Tenancy changed late
Moving isolation models after launch is close to a rewrite. It is the one decision worth slowing down for.
Self-service ignored
Trial, signup and in-product onboarding are revenue features, not marketing polish.
No usage visibility
Without per-tenant metrics you cannot price, support or spot churn before it happens.
Veiledende budsjett
Billing, tenancy and compliance drive the range more than screen count.
FAQ
Vanlige spørsmål
Should we start with an MVP?+
Almost always. We scope the one loop that proves customers will pay, then expand against real usage rather than assumptions.
How is pricing supported?+
We build metering in from the start so per-seat, per-usage or tiered pricing can change without an engineering project.
You already have the idea. Let's define what comes next.
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