Knowledge ingestion
Bring in policies, contracts, reports, tickets, email exports, and structured records without forcing every team into a new content model.
RAGPlus for production enterprise AI
Enterprise AI search and agents, grounded in your knowledge.
Vita Kawah helps teams turn private documents, processes, and tools into reliable AI workflows. Ask questions, verify sources, route actions, and measure outcomes from one secure platform.
Managed SaaS
Web UI and API
Audit-ready
RAGPlus workspace
Question
Which policy applies to this customer renewal?
Grounded answer
4 sources
Apply the enterprise renewal path. The contract is eligible for assisted review because usage increased and the region requires finance approval.
Policy handbook.pdf
Finance SOP v4
Action
Draft reply
Route
Finance review
Trace
Logged
Production-ready after corporate beta programs
Single workspace for search, agents, and audit
Multilingual documents and business context
API-first for existing systems
Platform
A practical layer between enterprise knowledge and AI execution.
RAGPlus keeps the interface simple while handling the operational details teams need: ingestion, retrieval, permissions, actions, and observability.
Grounded retrieval
Combine semantic search, keywords, metadata, and source citations so answers can be checked by users instead of simply trusted.
Agent workflows
Let agents draft, classify, route, compare, and call approved tools while keeping human review where the business requires it.
Permission-aware
Respect team, role, and document boundaries so employees see only the knowledge and tools that match their access level.
Operational visibility
Track prompts, sources, decisions, actions, latency, and cost so teams can tune quality without guessing.
Integration-ready
Use the dashboard for teams and APIs for products, internal portals, service desks, and automation pipelines.
Governance
Built for teams that cannot treat AI as a black box.
Enterprise AI needs more than a chat window. RAGPlus is designed around traceability, least-privilege access, secure operations, and clear handoff between AI output and business ownership.
Source-level traceability
Every grounded answer can point back to supporting materials and intermediate reasoning context.
Controlled tool access
Agents call approved tools through governed workflows, not unrestricted prompts.
Audit logs
Review user requests, retrieved context, model responses, and automated actions when quality or compliance questions arise.
Deployment flexibility
Choose a managed SaaS experience or a dedicated setup aligned with your organization's security process.
Use cases
Start with knowledge. Expand into workflows.
The highest-value deployments usually begin with one painful knowledge workflow, then add routing, approvals, and system actions.
Service
Customer and employee copilots
Answer policy, product, and support questions with citations and escalation paths.
Operations
AI operations hub
Route tickets, summarize incidents, retrieve SOPs, and keep cross-team work moving.
Legal
Legal and contract knowledge
Search precedents, clauses, templates, and internal playbooks with verifiable references.
Finance
Reconciliation and review
Compare records, flag exceptions, draft review notes, and route approvals.
Field notes
Measured where teams already work.
Across early corporate design partners, the pattern is consistent: fewer manual handoffs, faster preparation, and clearer knowledge reuse.
70%
Reported reduction in manual data errors for a multi-channel customer data workflow.
30%
Average case preparation time reduction reported in legal knowledge work.
60%
Response speed improvement targeted by AI scheduling and route planning workflows.
FAQ
Common questions
Does RAGPlus replace our existing systems?
No. It connects knowledge and workflows around the systems teams already use, then exposes AI through a dashboard or API.
Can answers include citations?
Yes. Grounded answers can show source materials, metadata, and supporting snippets so users can verify important claims.
What interfaces are available?
Teams can use a web dashboard for daily work and REST APIs for embedding RAGPlus into internal tools or products.
How do projects usually start?
We usually begin with a focused workflow, connect the relevant knowledge, validate answer quality, then add actions and integrations.
Contact
Build your first reliable AI workflow.
Tell us where enterprise knowledge slows down a team. We will help map the data, workflow, security requirements, and first measurable rollout.
Email: contact@vitakawah.com
Address: 807A, 8/F, TWO HARBOURFRONT, 22 Tak Fung Street, Hung Hom, Hong Kong