We are an enterprise AI consultancy specializing in operational architecture for multi-location and operationally complex organizations.
Most organizations know they need AI. Few know how to adopt it without creating technical debt, governance risk, or disconnected point solutions that never scale. We exist to solve that problem.
Sparkle AI was founded on a simple premise: AI adoption should be architectural, not experimental. Our team brings deep experience in enterprise operations, systems architecture, and organizational change management to deliver AI capabilities that actually work at scale.
Founder & Principal Architect
With a background spanning enterprise operations, AI systems design, and organizational transformation, Kermie founded Sparkle AI to bring architectural discipline to a market flooded with disconnected AI tools and overpromised results.
Her approach is rooted in operational reality: understanding how organizations actually work before designing how AI should fit. This systems-first methodology has guided successful engagements across healthcare, logistics, financial services, and multi-location service organizations.
We do not recommend products. We design systems. Every engagement starts with your operational reality, not a vendor's feature list.
Responsible AI deployment means compliance, auditability, and transparency built in from the first day -- not bolted on after launch.
We measure success by operational impact: cost reduction, throughput improvement, error elimination, and revenue acceleration. Not by number of automations deployed.
We select and integrate the right tools for your environment. No vendor lock-in, no proprietary dependencies, no conflicts of interest.
Complex problems require clear thinking. We distill operational complexity into structured, actionable architecture.
Rigorous methodology, defined deliverables, and measurable milestones at every phase of engagement.
We embed with your teams, transfer knowledge continuously, and build systems your people can own and evolve.