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Every technology decision your company has made over the years shapes what is possible today. Some of those decisions were deliberate, others were inherited, and many were made when the market looked very different. A technology evaluation gives you a clear, honest picture of where you stand: what is working, what carries risk, and where the real opportunities lie.

We start by mapping your current stack in detail: the software, the integrations, the data flows, and the contracts behind them. We look at where you depend on proprietary vendors and what that dependency actually costs you. The cost goes well beyond licence fees: it includes lost flexibility, reduced autonomy, and exposure to unilateral changes. We also examine how well your current tools support modern AI workflows, since open-source software gives AI systems direct access to code, APIs, and documentation in ways that closed platforms often restrict.

From there, we find specific alternatives and assess their maturity, community support, and fit for your requirements. Not everything needs to change, and not every open-source option is the right one. The goal is to separate real risks from perceived ones and to identify the areas where a transition would deliver the most value.

The result is a structured set of recommendations: prioritised, realistic, and tied to your actual business context. You get a document your leadership and technical teams can use to make decisions with confidence, whether that means acting now or planning for the right moment.