DataAigis AI Agents
Turn enterprise knowledge, workflows, and expert experience into private, traceable AI applications. Build RAG retrieval, workflow assistants, permissions, audit trails, and operating loops without sending data outside your domain.
Years of data security & compliance consulting: we know the regulations, we own the methodology (four-stage framework / three-tier policy system), and we have deep relationships with regulated industries. Pure tech teams can't match this layer.
'Data never leaves your domain' is baked into the architecture — retrieval, vectors, and re-ranking all run locally. If the local stack isn't ready, the system errors out instead of silently phoning home (fail-closed). Answers cite their source; if nothing is found, it says so rather than making things up. RBAC + full audit trails. Consulting firms can't build this layer.
Proven on-premise deployment, air-gapped installation, MLPS coordination, and self-healing operations. SaaS startups can't deliver this. Competitors can copy features — they can't copy the combination of all three.
Upload enterprise documents into a local library; organize by folders, batch upload, visualize chunks and indexing.
Local embedding + vector search + re-ranking; strict isolation between libraries — querying Library A never hits Library B.
No code: pick a knowledge base, write a role prompt, choose a model, set retrieval scope, test in the debug console.
Supports multiple local models and customer-owned internal models — unified config, switching, and management in your domain.
Draft → publish → rollback; full change history (SOE audit requirement).
Access control by workspace / knowledge base; full operation audit logs.
Golden-question evaluation scoring + human review queue + output validation.
Unified view of document processing, data-source sync, and agent evaluation progress — with failure reasons and dead-letter replay.
Verify knowledge, models, evaluations, permissions, live operation, and task health per released version; freeze an immutable acceptance record on pass.
Web console and customer intranet application entry points.
Integrates external regulations, internal policies, and SOPs — delivering cited Q&A, policy lookup, and training support.
Value
Let employees find the right authority fast, reducing repetitive inquiries and execution drift.
Based on product terms, underwriting rules, claims workflows, and service scripts — provides step-by-step business guidance for frontline staff.
Value
Shorten training and lookup time, unify service responses, reduce human error in critical processes.
Combines classification & grading results, regulatory checklists, and remediation knowledge to support risk queries, task handling, and evidence organization.
Value
Turn data security expertise into reusable daily operations — supporting inspections, remediation, and continuous governance.
Not hypotheticals. These are the points real projects stalled on, and how each one cleared.
Where the customer was stuck
Drawings and technical files sat in PLM, knowledge documents in OA, with more scattered across local directories. Worse, the org structures and accounts in those systems did not line up — the knowledge base got built and nobody could see it under their own permissions.
How it was solved
Outcome
Nobody has to change where they put things; the knowledge base follows. Permissions match the source systems, so nothing needs reassigning.
Where the customer was stuck
To get one answer, front-line staff first guess which system holds it, then dig through slides and spreadsheets — and once they find something, they still have to judge whether it is the current version. So the common shortcut is to skip the systems and ask a colleague. A handful of experienced people spend much of their day answering the same questions again, and none of that experience is ever captured. When they leave, it leaves with them.
How it was solved
Outcome
Front-line staff get cited answers themselves instead of queuing for someone to reply, and the experienced people are freed from repeat questions — with their knowledge retained in searchable form by the company rather than by one individual.
Where the customer was stuck
A large share of incoming calls are the same few questions. People are consumed by those while the complex cases — the ones that genuinely need judgement — sit in the queue. Meanwhile service quality is sampled by hand, covering only a small fraction: problems surface largely by luck, and usually well after the fact.
How it was solved
Outcome
Headcount shifts from repeat questions to the work that actually needs a person, and QA moves from sampling a fraction and finding out at month end to reviewing everything and following up the same day.
Knowledge base management holds your own knowledge assets, the agent builder lets you create and run your own agents, and out-of-the-box agents put compliance expertise into daily work. With channel integration and human-in-the-loop review, they support reusable, auditable AI applications that improve in operation.
Book an AI implementation consultationFor finance, insurance, government, healthcare, and any industry where data must stay in-house. We don't compete on price — we compete on passing internal audits and regulatory checks.
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