Eliminate vendor lock-in by defining the exact business problem first and matching the right AI tool to the specific job.
Many organisations make the critical error of selecting a single, all-encompassing AI provider for the entire enterprise. This is a vendor decision, not a strategic one. Locking your business into a multi-year contract with one closed ecosystem creates dependency risk. If that provider alters their model, changes their pricing structure or has an outage, your operational continuity is entirely out of your hands.
To build resilient architecture, the technology has to serve the business, not the other way around.
The future of enterprise architecture relies on agility rather than singular loyalty. Instead of forcing every business function into one generic tool, successful organisations organise their data so that intelligent models can be swapped as better options emerge.
A customer service function and an infrastructure auditing team do not need the same foundational model. By keeping control of your application layer, you can route specific tasks to the endpoints that handle them best, whether that is a frontier commercial model, a self-hosted open-source alternative or a narrow domain-specific tool.
This track equips technology buyers and architects to build resilient, vendor-agnostic systems. I run the workshops that hold a team to that discipline, on the decisions actually in front of them.
Making teams state the exact requirements of the work first, so a tool is judged against a defined job rather than against whatever the vendor chose to show.
Application layers that use more than one provider, with fallback endpoints, so a price change, a model revision or an outage is an inconvenience rather than a stoppage.
Assessing where a self-hosted open model is commercially the better answer, and where paying for closed API access still is.
Organising what you hold so the systems processing it can be swapped as better options arrive, without rebuilding everything around them.
Honest comparisons and verdicts on the tools themselves, and the buying decisions that sit behind them.
A workshop puts your team through that order on your own problems, so the next tool decision is made against a defined job rather than against a demo.