Most enterprise AI stalls at the pilot. We scope the AI use case, build it into the systems you already run, and measure what changed for retail, financial services, and healthcare organizations. Delivered by teams that stay.
AI consulting that starts with the business requirement, not the model. Together we choose the use case worth building, agree on how success will be measured, and shape a proof of concept your team can evaluate in weeks.
See AI strategy & consultingWe build AI into the applications, data pipelines, and cloud platforms you already run. That includes the integration and QA work that decides whether a model survives production.
See AI application developmentAgentic AI that carries out multi-step work across your systems, built with defined permissions, human review points, and logging your technical team can audit.
See agentic AI solutionsAI agents and intelligent automation for high-volume work such as document intake, ticket triage, and data reconciliation, including AI use cases delivered on Appian. Each one is measured against the manual baseline.
See AI agents & automationAI models rarely fail in the demo. They fail on integration, data quality, and testing. We do that work every day, so it is in the plan from day one and does not arrive as a surprise in month three.
We agree on the metric before we build, whether that is hours saved, error rate, or cycle time. You get a measurable AI ROI you can take to your leadership.
The engineers who build your AI system also support it. They keep the context, so tuning and extending it never starts from zero.
Bring it to us. We’ll scope it, shape an AI proof of concept, and tell you plainly whether it can reach production in your environment.
Scope an AI proof of concept