Do you offer AI consulting before development starts?
Yes. Our AI consulting engagements cover use-case discovery, feasibility assessment, model selection, data readiness, and a practical roadmap for AI development and enterprise automation.
Can you build AI voice agents for customer support?
Yes. We design and deploy AI voice agents and AI customer support systems that handle inbound calls, route requests, answer FAQs, and escalate to human agents when needed.
How do you approach AI document processing?
We build AI document processing pipelines that classify, extract, validate, and route documents — integrating with ERP, CRM, and workflow systems for enterprise automation.
Can AI orchestration connect multiple tools in our digital workplace?
Yes. We implement AI orchestration layers that coordinate models, APIs, and business rules across your digital workplace — enabling reliable enterprise AI at scale on cloud-native infrastructure.
Build vs buy for enterprise AI — how do you decide?
Buy (or subscribe to) a model and a vendor when the use case is generic. Build the orchestration, retrieval, evaluation, and workflow layer when the advantage is your data, your approvals, and your systems of record. Reorigin almost always composes existing models rather than training a foundation model from scratch.
Do you train custom models or use existing LLMs?
Default is existing LLMs plus retrieval, tools, and guardrails. Fine-tuning or smaller task models appear only when evaluation shows a clear gap. Data stays in the boundaries you specify.
How do you handle data privacy with AI?
We design data flows first: what leaves the tenant, what is logged, what is retained, and which provider/region is allowed. Enterprise AI at Reorigin includes access control, redaction where required, and human escalation — not an unmonitored prompt box.