Build or buy your AI agents? The decision is more nuanced than it looks
Build or buy AI agents? Explore the strategic, technical and commercial considerations to help your organisation decide where to build, where to buy and how to create measurable business value.
Should your organisation build or buy its AI agents? We explore the strategic, technical and commercial questions leaders should consider before making the decision.
At our latest On the Way Home event in London, we brought together business and technology leaders to discuss a question facing almost every organisation exploring agentic AI: should you build your AI agents - or buy them?
The attraction of building is understandable. AI-assisted development has dramatically reduced the time and technical effort required to create new applications. Organisations can prototype agents quickly, tailor them to specific workflows and retain greater control over the experience.
At the same time, enterprise platforms are making ready-made agents increasingly capable, configurable and easier to connect with existing systems. However, the real decision is rarely as simple as build versus buy. The more useful question is: where should we build differentiation, where should we buy proven capability, and how do we connect everything safely?
Start with the outcome, not the technology
It is tempting to begin with the agent itself: what model to use, which platform to select and whether the organisation has the technical capability to build it. That is often the wrong starting point.
The first questions should be:
- What business problem are we solving?
- Who currently performs the work?
- How much time and money does the process consume?
- What information is required to complete it?
- What would a successful outcome look like?
- How will the organisation measure whether value has actually been delivered?
Without an agreed baseline, an AI project can produce an impressive demonstration without creating a measurable business result. A strong use case might reduce the time required to respond to an RFP, help employees find trusted organisational knowledge, resolve routine service requests or coordinate work across several teams. Each outcome requires a different combination of data, workflow, governance and human involvement. The agent is only one component.
When building makes sense
Building can be the right choice when the use case is genuinely distinctive to the organisation. This may include a proprietary process, specialist intellectual property, a unique customer experience or a capability that directly contributes to competitive advantage.
Building can offer:
- Greater control over functionality and user experience
- Closer alignment with specialist processes
- Flexibility over models, data and infrastructure
- Ownership of valuable intellectual property
- Freedom to evolve the capability independently
But the ease of creating a prototype can disguise the effort required to operate it in production. The organisation still needs to address security, permissions, integration, testing, monitoring, model changes, regulatory requirements, user adoption and ongoing support. It must also determine who remains accountable when an agent makes a mistake. The cost of building an agent is not simply the cost of writing the code. It is the lifetime cost of operating, governing and improving it.
When buying makes sense
Buying is often the stronger option when the required capability is important but not unique. Established platforms can provide proven infrastructure, security controls, connectors, monitoring and support. They can also reduce the time between identifying an opportunity and delivering something employees or customers can use.
Buying can provide:
- Faster deployment
- Lower initial technical risk
- Established security and governance
- Product support and ongoing development
- Access to pre-built integrations
- More predictable operating costs
However, buying does not remove the need for implementation. A platform still needs to understand the organisation’s terminology, permissions, processes and sources of truth. It must be integrated into the places where people already work. Employees need to trust it, understand its limitations and know when human judgement is required. Purchasing technology without addressing these conditions is likely to produce another underused system.
The answer will usually be hybrid
For many organisations, the best approach will combine purchased platforms with custom workflows, integrations and specialist agents. The underlying technology does not need to be unique. The differentiation can come from how it is applied. An organisation might buy the secure platform, identity controls, connectors and orchestration layer, while building the specialist workflow that reflects its processes and expertise.
This approach avoids recreating commodity infrastructure while preserving the ability to differentiate where it matters. The important architectural question becomes: Which capabilities should we own, and which should we consume? That decision should be based on strategic value, risk, cost and the organisation’s ability to maintain the capability—not on the excitement surrounding a new technology.
Five questions to answer before deciding
Before committing to build or buy, leadership teams should be able to answer five questions:
1. Is this use case genuinely differentiating?
If the capability is common across many organisations, an established platform may already solve much of the problem.
2. Is the necessary data accessible and trustworthy?
An agent cannot produce reliable outcomes if the underlying information is fragmented, outdated or inaccessible.
3. What systems and people must be involved?
Most valuable use cases cross departmental and technological boundaries. Integration and collaboration should be designed from the beginning.
4. How will risk and accountability be managed?
Organisations need clear rules covering permissions, sensitive data, human approval, monitoring and responsibility for decisions.
5. How will value be measured?
Agree the baseline before implementation. Measure time saved, costs avoided, quality improved, revenue influenced or risk reduced.
Move from experimentation to measurable value
The organisations that benefit most from agentic AI will not necessarily be those that build the most agents. They will be the organisations that select the right problems, connect AI with trusted data and existing workflows, and measure whether the technology produces a meaningful result. The build-or-buy debate is therefore not purely a technical decision. It is a business, operating-model and investment decision. Most importantly, start with a clearly defined outcome.
Continue the conversation
Gen25 helps organisations identify high-value AI opportunities, assess the data and operating environment, select the right technology approach and move from discovery through to implementation and measurable outcomes. If your organisation is deciding whether to build, buy or combine both approaches, we would be happy to continue the conversation. Contact Gen25 to arrange an AI opportunity and value-assessment session by clicking here.
