Evaluate a SaaS development company by asking it to explain its design against your requirements, show how it reviews and tests code, demonstrate how it deploys and operates services, and put code access and intellectual-property terms in writing. Compare candidates using the same evidence—not claims such as “secure,” “scalable,” or “enterprise-grade.” The right level of scrutiny depends on the product’s risk, data sensitivity, scale, and operating model.
Start with evidence, not technology buzzwords
Ask each candidate to walk through concrete artifacts: an architecture diagram, representative repository and code-review workflow, test results, security-finding process, release and rollback procedure, monitoring or runbook examples, and the proposed handoff. For work that has not started, request samples from comparable projects and a clear account of what the team will produce and when.
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Use consistent questions across firms. A persuasive presentation is not proof that the people assigned to your project use the described practices. Ask who will do the work, who provides senior technical oversight, which work may be subcontracted, and how you will see progress and risks. Validate experience through references for projects with comparable technical and operational demands; ask about predictability, defect response, documentation, handoff, and post-launch support.
How to assess the proposed architecture
Ask the team to draw the system and trace both a typical user request and a failure case. The explanation should cover the components that matter to your service, not merely name a cloud provider or programming language.
- Major services, data stores, dependencies, external services, and deployment environments.
- Data flows and trust boundaries, including authentication, authorization, and tenant isolation where relevant.
- Assumptions about concurrency, data volume, latency, availability, and expected growth.
- Failure modes, recovery expectations, and the conditions that would trigger a redesign.
For each consequential choice, ask what alternatives were considered, what constraint drove the decision, what risks remain, and how the choice affects reliability, security, performance, and cost. A credible team can justify a simple design when it fits, as well as a more distributed one when the requirements warrant it.
A useful discussion guide is the AWS Well-Architected Framework, which organizes questions around operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. AWS describes an architecture review as a constructive conversation, not an audit. Treat the pillars as lenses to tailor to your product—not as a certification or pass/fail guarantee.
How to evaluate code quality and security practice
Ask where the source code lives, who can access it, whether you can inspect it during delivery, how changes are reviewed, and how a change moves from development to release. Request a walkthrough of the actual workflow rather than a list of tools.
The Tool Desk
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- Business Architecture: Collecting, Connecting, and Correcting the Dots
- Technics Publications
- ABIS BOOK
- Pull-request review: who reviews changes, and how are review decisions recorded?
- Testing: which regression, functional, performance, reliability, and security checks run, and at what points in development and release?
- Security: how are secrets handled, dependencies updated, and authorization and tenant boundaries checked?
- Findings: who owns each issue, which severity levels block release, how are exceptions approved, and how is remediation verified?
- Evidence: can the team show representative test cases and outcomes, plus an example of a finding being fixed?
AWS guidance on automating testing throughout development and release recommends combining functional tests with non-functional checks, including reliability, performance, and security testing. It describes static application security testing (SAST) and dynamic application security testing (DAST) as complementary approaches. Testing only just before release and not communicating test cases or results are warning signs.
NIST’s recommended minimum standards for vendor or developer software verification provide a reference for discussing methods such as code-review tools, static and dynamic analysis, software composition analysis, and penetration testing. Tools do not by themselves establish that software is secure; the methods and rigor should match the product and its criticality.
How to judge production readiness
Launch is the start of operating the service, not the end of development. Ask the vendor to walk through a release from code change to production, including approvals, automated checks, deployment strategy, environment separation, and rollback. Then trace what happens when the service degrades or an incident affects customers.
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- What signals reveal degraded behavior, and who receives alerts?
- Who leads incident response, how are issues escalated, and who communicates with customers?
- What are the capacity and recovery assumptions, and how will they be validated?
- Can the team show relevant dashboards, runbooks, incident reviews, and deployment or rollback examples?
Google’s Production Readiness Review is an example of assessing a service already running in production for design, implementation, and operational deficiencies that could impede SRE takeover. It is a Google practice, not a universal certification. NIST’s software supply-chain vendor-risk guidance describes practices such as automated build deployments, pre-production testing, automatic rollbacks, and staggered production deployments. Ask which controls fit your service and how the team will demonstrate them.
Make handoff part of the plan
Agree who will document the architecture, infrastructure, deployment, and operating procedures; train your team; provide access to cloud accounts and observability tools; and support a transition if the engagement ends. If only the original vendor can maintain the service, that is a continuity risk to understand before signing.
Set delivery expectations and acceptance criteria
Before work begins, define acceptance criteria tied to observable outcomes. Depending on the project, milestones might require an approved architecture, working increments, test evidence, security review, deployment rehearsal, or operational handover. Specify how scope changes are estimated and approved, and require risks and dependencies to be raised with owners and mitigation plans.
Ask which named people will make technical decisions, how much senior oversight they provide, and whether subcontractors may be used. Establish how you will review progress, access working software and project artifacts, and resolve disagreements about whether a milestone is complete.
Clarify source-code access, ownership, and licenses
Put the mechanics in the agreement and statement of work. Address each of these separately:
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- Vendor background IP: which pre-existing tools or reusable components may be embedded, and what license you receive to use, maintain, and modify them.
- Third-party and open-source software: what components are included, which licenses apply, and how disclosures and approvals work.
- Practical access: where repositories and build or deployment artifacts live, who has access, and how the client can continue work.
- Contributors and exit: whether subcontractors and other contributors are bound by terms that support the agreed transfer or license, and what transition support is available.
Google’s published contractor terms provide a company-specific example of explicit ownership language: “Title to the Deliverables will transfer to Google upon delivery.” Google’s partner terms also address third-party and open-source materials. These are examples of Google’s own agreements, not universal legal requirements. Google’s outsourced software development requirements for partners likewise illustrate making repository, security, application, and deployment expectations explicit; Google-specific requirements do not automatically apply to another engagement. Have counsel review governing law, background IP, open-source obligations, confidentiality, warranties, liability, data processing, and exit rights for your agreement.
Best Value
Compare credible candidates on the same dimensions
Use a shared comparison sheet and record the artifacts behind each answer. Weight the dimensions according to the product’s stakes rather than assigning universal scores.
| Dimension | Evidence to compare |
|---|---|
| Architecture fit | How clearly the design maps to your requirements and explains tradeoffs, risks, and likely evolution. |
| Code assurance | How reviews, automated tests, security checks, dependency management, and remediation work in practice. |
| Operational readiness | Deployment and rollback, observability, incident response, reliability assumptions, documentation, and handoff. |
| Delivery transparency | Repository access, working software, named decision-makers, risk reporting, and acceptance criteria. |
| Continuity and rights | Ownership and license clarity, client access to accounts and artifacts, subcontractor controls, and exit support. |
| Evidence quality | Whether explanations are supported by inspectable artifacts and references from comparable work. |
For a service handling sensitive data or facing regulatory obligations, probe security, data handling, access controls, and independent assurance more deeply. For an early prototype, speed and learning may matter more, while preserving a maintainable path to production. NIST’s verification guidance ties the type and rigor of methods to product or service criticality; a low-risk internal tool and a customer-facing sensitive-data service need not receive identical diligence.
Quick Recap
Questions to take into vendor interviews
- “Walk us through the architecture you would propose for our requirements. Which decisions are uncertain, and what would change your design?”
- “Show us how a code change is reviewed, tested, and released. Can we see representative test results and how a finding was resolved?”
- “How do you handle dependencies, secrets, authorization, tenant boundaries, and security findings?”
- “What does a failed deployment or customer-impacting incident look like in your process? Who is on point, and how do you roll back?”
- “What must be true before you recommend production launch, and what operational risks would remain?”
- “Where will the source code and deployment artifacts live, who has access, and how will we take over?”
- “Which parts of the deliverable are pre-existing vendor IP or third-party software, and what rights and license obligations apply?”
- “Which comparable client can speak about the project after handoff, and what would they say needed improvement?”
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