Software development for SaaS and technology companies.
SaaS companies rarely have a shortage of ideas. They have a shortage of people to build them, and a platform that gets less attention than the roadmap because the roadmap is what customers see.
Feature velocity when the roadmap outpaces the team.
Assigned specialists work on both. Feature delivery against your backlog, and the reliability work underneath that nobody schedules until something breaks.
Where the constraint is release confidence rather than build capacity, QA outsourcing is usually the more useful first assignment.
The pattern we see most often in SaaS is a roadmap sized for a team that has not been hired yet. Feature commitments made to customers, a platform quietly accruing debt, and an engineering lead spending more time recruiting than building.
Assigned capacity addresses the third problem as much as the first two. Because we handle selection and management, your lead stops running a hiring process and goes back to engineering. Where the scope spans several disciplines at once, that capacity is normally set up as a dedicated software development team under one agreement.
We don't fix this with a workshop. We fix it by adding the specialist your roadmap is actually missing.
Mapped to what actually slows a SaaS roadmap down.
Each of these ties to a specific service line, so scoping starts from the bottleneck you actually have rather than a generic brief. Most partners end up combining two or three of them under one agreement rather than picking a single discipline in isolation, and the broadest of the four is software development outsourcing.
Day-one fluency in how SaaS products are actually built.
Specialists are matched to your exact stack at scoping. These are the ones we see most often in SaaS codebases. If your product runs on something else entirely, that's fine — the list reflects what's common, not a limit on what we can staff for.
Most SaaS teams call us at one of four points.
There's no wrong stage to start a conversation. Knowing which of these describes you helps us scope the right specialist and level from the first call, instead of guessing at the brief. Some partners move straight from stage one to a full assigned team; others add one specialist to close a single gap and stop there.
The product works, but one or two people are the entire engineering team.
Customer issues and new features compete for the same small team's time.
Technical debt and test gaps start showing up in every sprint estimate.
A specialist or two, assigned under one agreement, working inside your existing team.
Questions SaaS teams ask us first.
Most of these come up before a contract is even discussed, because architecture and compliance concerns tend to surface before commercial ones. If your question isn't answered here, ask directly at scoping — we'd rather address it before you sign than after.
Can a specialist work inside our existing multi-tenant architecture?
Yes. Architecture and scope are reviewed before assignment, so the specialist is productive inside your existing patterns from the first sprint. That review covers how tenants are isolated, how data is partitioned, and where the boundaries between shared and tenant-specific code already sit in your codebase — so the first sprint is spent shipping, not relearning the model from scratch. If the architecture is mid-migration or has known rough edges, we'd rather hear that at scoping than discover it in a pull request.
Can you work within our security and compliance requirements?
Yes. Specialists work inside the access controls, audit requirements and review processes your compliance programme already sets — we adapt to them, not the other way round. That includes signing your access agreements, working through whatever identity and permissions setup you require, and keeping any evidence your auditors expect (code review trails, deployment logs, ticket history) exactly where you already keep it. We don't run a separate process alongside yours — the specialist becomes one more person operating inside the controls you've already built.
We want to ship one AI feature, not build an AI team. Does that work?
Yes. An AI engineer can be assigned for exactly that scope — one feature, evaluated and shipped — without committing to a standing AI team. Scoping starts with the outcome you actually want (a support deflection rate, a search relevance improvement, a summarisation feature customers will use daily), not a generic "add AI" brief. The specialist picks the model, retrieval and evaluation approach to fit that outcome and your existing infrastructure, and the capacity can be scaled down once the feature has shipped and stabilised — it doesn't have to become a permanent line item if you don't need it to.
Our roadmap shifts monthly. Can capacity move with it?
Yes. Capacity can move up or down at the next monthly cycle, so the roadmap isn't locked to the scope you started with. If a launch pulls forward and you need a second specialist for a quarter, that's a conversation with your service delivery manager, not a new procurement process. The same applies in reverse — if a priority gets cut or a feature ships ahead of schedule, capacity can step back down rather than sitting idle on a roadmap that's already moved on.
Tell us where your roadmap is stretched.
Thirty minutes with a service delivery manager. You will hear what we would deliver, what capacity it takes and what we would not take on.