Enterprise AI development and consulting for the digital workplace.
Reorigin Technology delivers AI development, AI consulting, and AI automation for B2B teams — from AI orchestration and business process automation to AI voice agents, AI customer support, and AI document processing. We build enterprise AI systems on cloud-native infrastructure that integrate with your existing tools and workflows.
Enterprise AI at Reorigin is automation wired into systems you already run: retrieval, tools, voice or support agents, and document workflows, with a written rule for what data may leave the tenant. It is not an unmonitored chat box.
We buy a model when the task is generic and build the orchestration when the advantage is your data, your approvals, and your system of record. The default is an existing LLM plus retrieval, tools, and guardrails. Fine-tuning shows up only when an evaluation on your own examples shows a gap. We do not train a foundation model from scratch, and we do not send a tenant’s documents to a provider you have not named.
A useful first release is one workflow with a human still in it: document intake that drafts a structured record, a support reply that a person sends, or a voice agent that books a known intent and escalates the rest. Data flow is designed first — what leaves, what is logged, what is retained, which region is allowed. Access control and redaction are part of the build. The evaluation set is part of the handover, because a demo that cannot be re-scored will drift.
The first slice is one workflow with an evaluation set. A second use case is a later phase, reusing the same boundaries.
| Phase | Duration | Planning band | What ships |
|---|---|---|---|
| Data-flow and eval set | 2–3 weeks | Inside the first slice | What the model may see, and how you will know it is wrong |
| First workflow | 8–14 weeks | Scoped after discovery | Retrieval or tools, human escalation, logging |
| Next use case | Phased | Separate slice | Same boundaries, a new task |
The provider, the region, and the fields that may leave are decided before anyone writes a clever prompt.
If the answer lives in your ERP, the model calls a tool. It does not memorize a stale export.
We keep a set of real cases and a score. Changing the model without re-scoring is how quality silently drops.
Every automated step has an escalation. Unattended actions on customer data are a separate, explicit scope.
Related
The governed data an assistant is allowed to retrieve.
What we design before personal data meets a model provider.
Scoped delivery, not a rented bench of prompt writers.
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.
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.
We build AI document processing pipelines that classify, extract, validate, and route documents — integrating with ERP, CRM, and workflow systems for enterprise automation.
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.
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.
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.
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.
