AI Strategy and Discovery for Bristol Businesses
Most AI projects that go wrong go wrong before a single model gets trained, in the gap between what a Bristol business wants and what its actual data can support. This starts with a straightforward, sometimes uncomfortable look at data readiness, not a plan dressed up to sound more settled than it is.
- Data readiness and quality assessment before any commitment is made
- Use-case prioritisation based on real business impact, not novelty
- Build-versus-buy analysis for off-the-shelf APIs versus custom models
- A scoped technical roadmap with realistic milestones































