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One day on-site, your team, your data environment — and a written report at the end telling you exactly what AI can do for your organisation. No hardware specified and no budget committed until you've seen it in writing.
Most AI projects fail not because the technology doesn't work, but because organisations commit to a solution before understanding the problem. The FSAS AI Workshop exists to fix that.
We spend a day with your team — mapping your data environment, identifying your highest-value use cases, assessing your compliance position, and understanding the workflows where AI would make a genuine difference. At the end, you receive a written report and a clear recommendation. No obligation to proceed.
Fill in the form below and we will be in touch within one business day to confirm your date and answer any questions.
Trusted by UK IT leaders since 1994 · IBM Partner · FSAS Technologies Reseller
We map where your data lives — documents, systems, knowledge bases — and assess how accessible and well-governed it currently is. This is the foundation everything else builds on.
Working with your team, we identify the workflows that would benefit most from AI — the tasks that take too long, happen too often, or rely on institutional knowledge that lives in people's heads.
We assess your current AI exposure — are your staff already using public AI tools with company data? — and map your regulatory position under UK GDPR and any sector-specific obligations.
We look at your existing infrastructure and assess what an on-premise AI deployment would require — hardware, network, integration points — and what is already in place.
You receive a written report covering your AI readiness, the use cases with the strongest ROI, the right solution for your organisation, and the expected timeline and investment. No obligation to proceed.
We come to you — your team, your environment, your context.
Clear recommendation you can share with your board.
The workshop stands alone. The report is yours regardless.
Fortuna Data has been doing enterprise infrastructure since 1994.
