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Evaluate a SaaS development company by asking it to explain your product’s architecture, 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, then scale your diligence to your product’s risk, data sensitivity, and operating needs. Labels such as “secure,” “scalable,” or “enterprise-grade” are claims to investigate—not proof.

Start with evidence, not promises

A capable partner should be able to connect its proposed work to your requirements and show how it will deliver, secure, launch, and hand over the service. Ask for artifacts you can inspect rather than relying on a pitch deck or a list of technologies.

  • An architecture walkthrough based on your product requirements, including tradeoffs and failure cases.
  • A demonstration of code review, automated tests, security checks, and how findings are resolved.
  • A release and operations walkthrough covering deployment, rollback, monitoring, incident ownership, and recovery assumptions.
  • Practical access to repositories and delivery artifacts, plus written terms for ownership, licenses, and exit support.
  • References from projects with comparable technical and operational demands.

Use a consistent set of questions across candidates. The appropriate level of assurance depends on what the product does: a prototype or internal tool does not carry the same consequences as a customer-facing service handling sensitive data. NIST recommends that verification methods and their rigor be commensurate with the criticality of the product or service (NIST software verification guidance).

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How well does the architecture fit your product?

Ask the team to draw the system and trace both a typical user request and a failure. The discussion should cover the services and data stores involved, data flows, trust boundaries, tenant isolation, authentication and authorization, deployment environments, and external services the product relies on.

Test the assumptions behind the design

Ask what the design assumes about concurrent users, data volume, latency, availability, and growth. Find out which assumptions are uncertain, what evidence would confirm them, and what would trigger a redesign. For important design choices, ask what alternatives were considered, which constraints drove the decision, what failure modes remain, and how the choice affects reliability, security, performance, and cost.

A convincing answer is not necessarily the most elaborate architecture. A simpler design may be appropriate for an early product; a more distributed design may be justified by specific requirements. Neither a particular cloud provider, programming language, nor fashionable architecture proves that a team can build a sound service.

Use a framework as a discussion guide

AWS’s Well-Architected Framework organizes architectural questions around operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability (AWS Well-Architected Framework). Use the pillars to structure a conversation around your needs, not as a pass/fail certificate. AWS describes an architecture review as a constructive conversation about decisions, not an audit.

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How does the company assure code quality and security?

Ask where the code lives, who can access it, how changes are reviewed, and whether you can inspect the repository during delivery. Have the team walk you through a representative change from review through testing and release. Useful evidence includes pull-request reviews, regression tests, security checks, dependency updates, secret-handling practices, and a real example of how a finding was triaged, fixed, and verified.

Look for checks throughout development

AWS recommends automating tests throughout development and the release lifecycle, using functional tests alongside non-functional checks for areas such as reliability, performance, and security. Static application security testing (SAST) and dynamic application security testing (DAST) are complementary approaches, not substitutes for one another (AWS guidance on automating testing).

Two warning signs are postponing testing until immediately before release and failing to share test cases and results. Ask what runs automatically, when it runs, who can see outcomes, and how the team responds to failed checks.

Ask how findings are handled

NIST’s verification guidance discusses techniques including code review, static and dynamic analysis, software composition analysis, and penetration testing. Ask which techniques are appropriate for this product, who owns findings, what severity thresholds block a release, how exceptions are approved, and how fixes are verified. Running tools is not, by itself, proof that code is secure.

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Can the team launch and operate the service?

Production readiness means more than a successful deployment: the service must be observable, recoverable, and supportable after launch. Ask the vendor to walk through a code change reaching production, including approvals, automated checks, environment separation, deployment strategy, and rollback.

Inspect the operating plan

Ask how the team detects degraded behavior, where alerts go, who responds, how incidents are escalated, and who communicates with customers. When the project is mature enough, request sample runbooks, dashboards, incident reviews, and recovery assumptions. Find out what capacity assumptions support the launch plan and which risks remain unresolved.

Google describes its Production Readiness Review, also called an SRE entrance review, as an assessment of a service already running in production to identify design, implementation, and operational deficiencies that could impede SRE takeover (Google’s account of its Production Readiness Review). This is an example of Google’s practice, not a universal certification. NIST’s vendor-risk guidance describes practices such as automated build deployments, pre-production testing, automatic rollbacks, and staggered production deployments (NIST software supply-chain risk guidance). Ask which controls fit your service’s risk and how the team will demonstrate them.

Make handoff part of the plan

Clarify whether the vendor will document the architecture, infrastructure, deployment, and operating procedures; train your team; and provide access to the cloud accounts and observability tools needed to run the product. Agree on how the client can take over if the relationship ends. If only the original vendor can maintain the service, that is a continuity risk to understand before signing.

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Will the relationship support dependable delivery?

Find out who will do the work, how much senior technical oversight is available, and what work may be subcontracted. Ask how you will see progress and raise concerns. References should come from projects with similar technical and operational demands; ask those clients about predictability, defect response, documentation, handoff, and support after launch.

Agree on acceptance criteria before work starts. Tie milestones to observable outcomes—such as an approved architecture, working increments, test evidence, a security review, a deployment rehearsal, and an operational handover. Define how scope changes are estimated and approved, and require risks and dependencies to be raised with an owner and mitigation plan.

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Clarify source-code access, ownership, and licenses

Put the mechanics in the agreement and statement of work. Identify who owns new deliverables, which tools or reusable components the vendor already owns, and what license you receive for any vendor material embedded in the product. Require disclosure of third-party and open-source components and applicable licenses. Confirm that contributors and subcontractors are covered by terms consistent with the agreed transfer or license, and ensure you have practical repository and build access.

Published Google contractor terms provide an example of explicit ownership language: “Title to the Deliverables will transfer to Google upon delivery.” Google’s terms also address intellectual-property assignment; its partner supplier terms address approval for third-party intellectual property and open-source materials (Google contractor terms). These are Google-specific examples, not universal legal rules. Have counsel review the agreement under the applicable law, including background IP, open-source obligations, confidentiality, warranties, liability, data processing, and exit rights.

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Google’s outsourced software development requirements also illustrate making repository and technical requirements explicit for its partners (Google partner software development requirements). Those requirements apply to Google engagements; another buyer should define requirements suited to its own service and agreement.

Compare candidates against the same evidence

Use these dimensions to structure a comparison. Weight them according to the product’s stakes rather than treating every dimension as equally important.

Dimension What to evaluate
Architecture fit How clearly the proposal maps to 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, access to accounts and artifacts, subcontractor controls, and exit support.
Evidence quality Whether explanations are backed by inspectable artifacts and references from comparable work.

For a regulated or sensitive-data service, scrutinize security, data handling, access controls, and independent assurance more closely. For an early prototype, speed and learning may matter more, while still preserving a maintainable path to production. Avoid numeric scores unless you define and validate how the scoring works.

Questions to ask in a vendor interview

  • “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 happens in a failed deployment or customer-impacting incident? 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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