Complex technology projects: contractual framework and allocation of business risk

ERP systems, cloud platforms, SaaS solutions, software development projects and artificial intelligence-based technologies are increasingly becoming integral components of business operations. Their availability and performance may affect data accessibility, relationships with customers and suppliers and, in certain cases, the continuity of core business functions.

Against this background, the contractual relationship with the technology provider assumes a significance that goes well beyond the mere performance of the relevant technical services.

Complexity becomes particularly apparent in projects involving multiple parties in the development, integration, hosting, operation or management of the relevant solution. A fragmented technology architecture may not, however, be matched by an equally clear contractual allocation of obligations, responsibilities and operational risk.

Delays, service failures, system incompatibilities or deliverables that fail to meet agreed requirements may therefore give rise not only to technical issues, but also to questions as to the attribution of responsibility and the allocation of the resulting consequences.

A further area of concern is the potential mismatch between the economic value of the contract and the undertaking’s actual risk exposure. Platform unavailability, loss of access to data, migration failures or dependence on technologies that cannot readily be replaced may generate consequences that bear little or no relation to the value of the individual supply or service contract.

The more deeply technology is embedded within business processes, the more significant issues such as data availability and control, ownership of deliverables and results, interoperability, service continuity, exit arrangements and technological dependence on the provider become.

This may result in a material asymmetry between the economic importance of the relevant technology and the legal structure governing the contractual relationship. The party controlling a particular technological component, the party contractually responsible for a specific obligation and the party ultimately bearing the economic consequences of a failure may, in fact, be different parties.

Artificial intelligence-based solutions further accentuate this complexity. Datasets, models, outputs, third-party components and differing levels of system autonomy introduce additional layers of risk that may make it more difficult to attribute a particular outcome to a specific contractual performance and, consequently, to determine the corresponding allocation of liability.

In complex technology projects, therefore, legal risk does not arise solely from the possibility that the technology may fail to perform as intended. More broadly, it derives from the relationship between the project’s technical architecture, the contractual allocation of obligations, the distribution of responsibilities and the parties’ respective economic exposure.

It is precisely where the technological architecture, the contractual framework, the allocation of responsibilities and the parties’ economic exposure do not align that the contract assumes a central role in identifying, qualifying and allocating the risks associated with the project.