For a CIO, build versus buy is not a choice between writing every line of code and purchasing a finished product. It is a decision about which capabilities the organization needs to own, which it can rely on a vendor to provide, and how it will pay for and operate the result over time. A sound default is to buy mature commodity capabilities, build the parts that create meaningful differentiation, and use a hybrid approach when the boundary is unclear.
Start with the capability, not the product label
A request such as “we need a CRM” can hide several separate needs: customer records, sales workflows, forecasting, communications, automation, reporting, and a customer portal. Those needs may not deserve the same answer. Define the business capability and its users before comparing products or estimating development.
- Scope: Identify the users, expected volume, business units, geography, and whether the system is internal, customer-facing, revenue-generating, or safety-critical.
- Workflow: Map the work users must complete, including exceptions and handoffs.
- Technology: List required integrations, systems of record, data sensitivity, and expected service levels.
- Obligations: Record regulatory, audit, retention, residency, and recovery requirements.
- Time horizon: Estimate useful life, growth, and the likelihood that requirements or vendors will change.
Also write down why a decision is needed now: a growth constraint, renewal, regulatory deadline, cost target, customer-experience problem, end-of-life platform, or resilience gap. Without a defined problem, both the build estimate and the vendor comparison will be unreliable.
Choose among five paths, not just two
“Build” and “buy” are shorthand for a spectrum of ownership choices. A practical decision may combine several of them:
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- Buy and configure: Use a packaged SaaS product with supported settings for a standardized workflow.
- Buy and extend: Keep the vendor product but add integrations, APIs, or custom modules around it.
- Build on a platform: Create an application using a low-code or internal-app platform. This can speed delivery, but the platform itself is a vendor dependency.
- Build the differentiating core: Own the proprietary workflow or logic while buying commodity components such as identity, storage, messaging, or payments.
- Outsource or co-develop: Use a partner where internal capability is insufficient, while retaining clear ownership of architecture, knowledge, and ongoing operations.
The strategic question is usually not whether the organization can build the entire product. It is which layer it must control. A hybrid boundary can preserve the distinctive part of a process without recreating mature commodity services, though integration work can make a hybrid more complex than either a single product or a focused custom system. TechTarget’s CIO decision matrix also frames the decision as broader than a binary choice.
Test whether the capability differentiates the business
Build becomes more defensible when a capability embodies proprietary know-how, data, customer experience, or decision logic that materially affects revenue, margin, customer choice, or risk. Ask:
- Does this capability influence why customers choose the organization?
- Would competitors get essentially the same capability by buying the same product?
- Does control of the workflow or data create an advantage that can persist?
- Is the capability central to the future business model?
- Would adopting a standard process erase an advantage the business deliberately wants?
If the capability is necessary but ordinary—such as payroll, calendaring, identity, document storage, standard accounting, or routine service management—buying is often the stronger default. CIO’s discussion of reopening the build-versus-buy question argues that mature SaaS often makes sense for commodity workflows because owning them delivers little differentiation while leaving maintenance obligations intact: Why CIOs should reopen the build vs. buy question.
Do not confuse a product category with the capability being evaluated. “ERP,” “CRM,” and “AI platform” are market labels; the decision should follow the actual process and the value the organization needs to control.
Check market fit beyond the vendor demo
A vendor’s demonstration establishes that a feature exists, not that the product supports the organization’s end-to-end workflow. Assess how requirements are met and what users must do when the product falls short.
- Record the percentage of must-haves met natively, through supported configuration, or through custom code.
- Count critical manual workarounds, duplicate data entry, shadow spreadsheets, and systems that would become systems of record.
- Check whether APIs and integrations are documented, supported, and adequate for expected volumes.
- Determine whether the vendor’s roadmap aligns with requirements the organization cannot reasonably change.
A product that meets 80% of requirements may be preferable to a custom system that meets all of them, unless the remaining 20% includes differentiating logic or a legal or operational necessity. Distinguish configuration from a supported extension and from unsupported customization: the last can raise upgrade, testing, security, support, and exit costs.
Compare total cost over the same period
Use an equivalent three- to five-year planning horizon for each option, and make assumptions about users, growth, adoption, service levels, and replacement risk explicit. A subscription price is not the total cost of buying, just as developer salaries are not the total cost of building. Microsoft’s Azure Well-Architected cost guidance calls for including development resources, infrastructure, maintenance, support, and surrounding engineering and security components in cost comparisons: Microsoft’s cost-optimization guidance.
| Build costs to include | Buy costs to include |
|---|---|
| Discovery, requirements, product management, UX, architecture, development, testing, and quality engineering | Subscription or license fees, minimum commitments, implementation, migration, and configuration |
| Security design and review, compliance work, hosting, cloud services, storage, networking, and observability | Custom development, integration middleware, API and data-usage charges, and premium support |
| Release engineering, documentation, training, incident response, on-call, bug fixes, and technical debt | Internal administrators and platform owners, vendor-risk and compliance reviews, security tooling, and identity integration |
| Feature requests, integrations, recruiting, retention, knowledge transfer, and modernization | Training, change management, parallel operations during transition, unused seats, and low adoption |
| Business disruption, opportunity cost of scarce engineers, and expected failure or risk cost | Contractual price increases, export and termination, migration, switching, and expected vendor-risk cost |
A useful model is:
- Build TCO: initial delivery + product and engineering labor + infrastructure + security and compliance + maintenance + support and operations + modernization + opportunity cost + expected failure or risk cost.
- Buy TCO: subscription or license + implementation + configuration and customization + integrations + internal administration + support and training + migration + price-increase scenario + switching and exit + expected vendor-risk cost.
Do not count engineering labor without considering what that team would otherwise deliver. If scarce engineers could be working on customer-facing or revenue-generating capabilities, their opportunity cost belongs in the build case. Likewise, a buy estimate should include internal ownership and the cost of operating parallel systems during transition.
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The cost of delay depends on the capability. A back-office convenience may tolerate a long build; a regulatory deadline may not. A customer-facing launch can defer revenue or lose share, while a safety or operational system may need a controlled rollout rather than a hurried one.
Estimate revenue or savings delayed per month, the cost of the current process, the cost of launching a limited version, and whether a temporary purchase could reduce risk. “Buy now, learn, and build later” can be a useful option if the contract, data model, APIs, and exit rights leave replacement practical. Separate a learning investment that reduces uncertainty from a production investment that creates a long-term service obligation.
Verify security, compliance, resilience, and ownership
Building provides more control over implementation and data flows, but it also transfers responsibility for defects, access controls, compliance evidence, upgrades, and operational reliability to the organization. Buying from a mature provider may bring dedicated security staff, established controls, audit reports, and identity integrations; it does not make every deployment compliant or remove the customer’s responsibility for configuration and use.
- For a build: Assign owners for vulnerabilities, dependency upgrades, data quality, recovery, compliance evidence, user support, incident response, documentation, and end-of-life decisions.
- For a buy: Review data residency, subcontractors, breach response, business continuity, access and audit controls, API and log coverage, and whether exports meet the organization’s needs.
- For either path: Define service-level objectives, recovery requirements, support coverage, and accountability before launch.
A vendor’s certification is evidence about the vendor’s program, not proof that a particular configuration or use complies with the organization’s obligations. Conversely, an internally built system is not inherently more secure: the organization must fund and operate its controls consistently.
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Make the exit plan part of the choice
Before signing a contract or committing to a proprietary architecture, assess how the organization would leave. Check:
- Whether data exports are complete, usable, and automatable, and how often they can be taken.
- API limits, versioning, deprecation policy, and portability of workflows or business rules.
- Migration of identity, permissions, reporting, and integrations.
- Termination assistance, deletion and retention commitments, pricing protections, and service-level remedies.
- What happens if the vendor is acquired, discontinues the product, or changes its roadmap.
Technical replaceability is not the same as an affordable exit. Training, embedded workflows, reports, and integrations can make a system difficult to replace even when its data is exportable. Treat a limited pilot as relatively reversible, a standard platform with portable data as partly reversible, and a deeply customized system of record as difficult to reverse. Irreversible decisions deserve more governance than a small, noncritical experiment.
Rank #4
Use a scorecard to expose assumptions
Agree on criteria and weights before selecting a vendor or approving a build. The following weights are a starting example, not a universal formula:
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| Criterion | Example weight | Question |
|---|---|---|
| Strategic differentiation | 20% | Does ownership create an advantage? |
| Workflow fit | 15% | Can users complete work without damaging workarounds? |
| Time-to-value | 15% | What is the cost of delay? |
| Three- to five-year TCO | 15% | Are direct and indirect costs included? |
| Security and compliance | 10% | Who owns controls and evidence? |
| Integration and architecture | 10% | Can the option fit without brittle coupling? |
| Organizational capability | 5% | Can the organization sustain the choice? |
| Flexibility and exit | 5% | Can the vendor or requirements change? |
| Reliability and resilience | 5% | Can the service meet recovery objectives? |
Score options on a consistent scale, then vary assumptions likely to change the result: engineering cost, delivery time, adoption, user growth, vendor price increases, integration effort, availability requirements, staff turnover, cost of delay, and failure impact. A build that wins only if delivery is on time, requirements never change, and no engineer leaves is not a robust choice. Treat the score as a way to reveal assumptions, not as a substitute for executive judgment.
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For a buy candidate, configure the hardest workflow, test the most difficult integration, demonstrate data export and re-import, validate permissions and audit trails, and measure administrator effort. Ask for references from organizations with comparable scale and regulation, security and compliance documentation, roadmap and deprecation information, implementation estimates, pricing assumptions, service levels, and exit terms.
For a build candidate, create the riskiest production-like vertical slice—not just a polished prototype. Use the intended security and deployment controls, test operational ownership, estimate the next ten features, and demonstrate that the architecture can evolve. This helps reveal whether the organization is funding a sustainable product or only a launch.
Recognize when a decision is going wrong
Buying turns into an expensive custom build
Warning signs include extensive custom code for basic requirements, upgrades that trigger bespoke regression work, spreadsheets maintained outside the product, undocumented one-off integrations, and critical knowledge held by an implementation partner. Reconsider the workflow or product fit, test a more extensible alternative, or isolate the differentiating requirement in a narrower layer.
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Building creates an unsupported internal vendor
If the project team moves on, no product owner remains, support is informal, there are no service objectives, or only one person understands deployment and recovery, the organization has not achieved durable control. Fund product and service ownership, reduce scope, or move to a supported product.
A low-code application becomes critical without controls
Low-code can accelerate delivery, but platform lock-in, licensing, data models, governance, and internal ownership remain. An application used for a critical workflow needs the same explicit security, support, recovery, and change controls as other production software.
Account for AI without assuming it settles the choice
AI-assisted development can make prototypes and boilerplate faster to produce. It does not remove requirements ambiguity, architecture decisions, testing, security review, data governance, reliability engineering, licensing review, or long-term maintenance. AI is a reason to revisit build assumptions, not proof that custom software is automatically cheaper or safer; CIO’s market analysis discusses the pressure AI may place on SaaS economics without establishing a universal price outcome: CIO on AI and enterprise software pricing.
Retool reported that 35% of surveyed enterprises had replaced at least one SaaS tool with custom software in its 2026 Build vs. Buy report. The survey covered 817 Retool customers and builders, so it is directional evidence from a vendor-associated sample, not a neutral estimate for all enterprises: Retool’s 2026 report.
Write the decision memo before implementation
A useful memo should make the recommendation and its conditions reviewable:
Quick Recap
- Problem and scope: State the trigger, capability, users, workflows, data, and non-negotiable requirements.
- Recommendation: Name the chosen path and explain which layers the organization will own.
- Alternatives: Record the options rejected and why.
- Economics: Show the time horizon, TCO assumptions, opportunity cost, cost of delay, and sensitivity cases.
- Risks: Identify security, compliance, integration, adoption, resilience, staffing, and vendor risks with mitigations.
- Accountability: Name the accountable executive, product owner, technical owner, and operational team.
- Exit and review: Define replacement conditions, review date, and metrics that would invalidate the decision.
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