"They fixed our data first.
Not sold us their product."
For CTOs, CDOs, VPs of Data, VPs of Engineering, and Heads of AI. Independent industry research indicates that twelve percent of mid-market companies have data in shape to support AI at scale. The other eighty-eight percent watch their pilots stall not because the model fails, but because the data layer underneath was not engineered for agent-driven workloads. XSparks engagements begin where the failure originates.
Four destinations on the technology buyer's path.
Outcomes from peer architecture-buyer deployments.
"We didn't realize how broken our data was until they tried to put an agent on it. The agent failed for a week. They rebuilt the layer underneath. The agent now runs the workflow."
Talk to a Forward-Deployed Engineer.
A working architecture conversation. We walk your current AIOM state, Layers 1–2, orchestration, governance, name what we'd rebuild first, and scope the next 1–2 weeks of diagnostic work.
Or email hello@xsparks.ai