SOLUTION

Private AI, RAG & Secure Enterprise AI

Private RAG, internal knowledge, data isolation, local models, enterprise APIs and AI agents, with access control and auditability in your VPC, cloud or on-prem.

Private RAGData isolationLocal modelsAccess controlAuditabilityCRM · ERP · PBX

The competitive advantage is often already inside internal data, processes and years of domain practice. That information should not automatically be sent to a third-party AI service.

2026 buying brief

Who this is for

Teams that cannot paste contracts, call audio or patient notes into a public chatbot and still need retrieval and agents.

What you get

A data map, a retrieval design with ACL, an agent contract and a deploy path you can name in a review (VPC, on-prem or named API).

Searches this page answers

Private AI, on-prem RAG, VPC LLM, domain-specific AI, self-hosted agents.

2026 search & AI-search context

Private AI is the outcome. AI Architect is the service that designs the planes. If the next action is a CRM write, add n8n or automation, do not hide that write inside the model.

How the outcome is assembled

Outcome → planes
Business jobAnswer · decide · draft · route
Data planeWhat stays in-house
ReasoningRAG · tools · model
Action planeCRM · PBX · tickets
If you cannot say where a document goes at inference time, you do not have a private AI.

What you get

A written data map

Sources, classification and the models allowed to see each class.

A retrieval design

Not “dump PDFs in a vector DB.” Chunking, ACL and refresh.

An agent contract

Tools, side effects and the human path.

A deploy path

Customer cloud, VPC, on-prem or named commercial APIs.

Start from the workflow, not the model card. If the process is still profitable as a manual operation, the first sprint is to automate the slice that is accurate enough to trust.

FAQ

Questions buyers ask before hiring

Direct answers on scope, stack, rescue vs build, and how to start, structured for search and AI summaries.

Direct answers on scope, stack, rescue vs build, and how to start, structured for search and AI summaries.

Production agents need barge-in, latency budgets, tool-calling into CRM/ERP, policy gates and observability. The LLM sits outside call control; Asterisk/FreeSWITCH still owns media and failover.

It depends on tenancy, data residency and whether voice is the product or a channel. We compare build vs buy in the first reply; see Vapi vs Retell framing.

Yes. Warm transfer with CDR, transcript summary and CRM pop is a standard pattern in CCaaS and insurance workflows we document on case studies.

Yes. Tenancy, RBAC, billing hooks, admin consoles and APIs are first-class, whether or not FreeSWITCH/Asterisk is in the stack.

Laravel, NestJS, Go, PostgreSQL, React/Next.js and Kubernetes appear across case studies. We match the stack to ops skills and compliance, not fashion.

Yes. Prepaid wallets, PayPal/Sofort-style top-ups and consultant payouts appear in marketplace and ERP case studies.

Share the current stack (PBX, CRM, cloud), the failure or goal in one paragraph, peak call volume, carriers, and any deadline. Screenshots, a pcap, or a short Loom beat a 40-page RFP. Use the project brief or email hello@unifiedpbx.in.

Yes. Delivery is remote-first from Delhi with scheduled overlap for EU, UK, US and APAC stand-ups. Production changes use written runbooks, rollback steps and agreed maintenance windows.

Yes. Many engagements begin with a 1–2 week SIP trace review, tenant-isolation audit, or architecture assessment. If the fit is good, scope expands from evidence, not from a generic sales deck.

Founders, CTOs, telecom leads, MSPs and product teams building or fixing UCaaS, CCaaS, CRM+voice, AI voice, or vertical SaaS, not buyers who only need seats on a mass-market suite.

Need this built?

Send the current architecture, call volume, carriers and the workflow you need to automate or productize. Discovery can start from a broken PBX or a blank product brief.

Discuss Your Project hello@unifiedpbx.in
Related
Case study: AI Legal Assistant (India) →AI architect service →AI agents & automation →RAG & data engineering →Fractional CTO & Architect →Cloud & DevOps →

Architecture first. Then production.

A practical technical discussion focused on SIP, media, tenants, AI and the delivery path, not a generic sales deck.