Should You Build, Buy or Partner for an AI Solution?

Separate the business capability from the product

Define what the business must be able to do before comparing vendors or internal development. The capability includes workflow, evidence, integrations, user experience, controls, support and measurement. A product may supply one or several components without delivering the complete operating change.

Buy when the requirement is common and the fit is strong

Buying can reduce time and engineering effort where many organisations perform similar work and the product fits required systems, controls and service conditions. Examine configuration limits, data handling, performance evidence, support, change frequency, exit options and what remains for the business to implement.

Build when the capability is distinctive or the constraints are unusual

Building may be justified when the use case creates strategic differentiation, depends on proprietary evidence, requires unusual integration or cannot be served within acceptable control boundaries. Internal development gives more design control but creates responsibility for evaluation, security, reliability, monitoring and improvement.

Partner when the business needs design or capability it should not create alone

A partner can support opportunity assessment, workflow design, data work, model development, evaluation, integration or managed operation. Define ownership of code, data, prompts, models, documentation, incidents and later changes. Partnership should transfer useful understanding to the organisation rather than obscure the system.

Use a hybrid approach deliberately

Many solutions combine a commercial platform with internal data, workflow, integrations and controls. The organisation may buy a model service, build the retrieval and business logic, and use a partner for initial architecture or evaluation. Name each component and its accountable owner.

Compare total cost and dependency

Include licence or development cost, usage, integration, data preparation, evaluation, security, process change, training, supervision, support, monitoring and exit. Test how cost changes with volume. Examine dependency on one vendor's model, data format or proprietary workflow.

Evaluate products against representative work

Use the same set of realistic cases, acceptance measures and operating constraints for every option. Include difficult inputs, required languages, privacy conditions and failure scenarios. A polished demonstration is not evidence of performance in the intended environment.

Contract for operation and change

Specify service levels, data rights, model or product changes, incident notification, audit evidence, subcontractors, security, continuity and termination. Determine who must re-evaluate the system when the vendor changes a model or feature.

NIST treats third-party software and data as part of AI risk management because outsourced components do not outsource business accountability.

Make the decision in the business case

Business Feasibility Study compares the operating model, capacity, costs, financing, risks and investment conditions. Business Systems Design and Architecture defines how the chosen components work together.