Custom Development

Enterprise AI Custom Development: Production-Ready Private AI Systems

ZhenheAI specializes in RAG, agent workflows, legacy system integration, eval, and deployment governance.

Advanced RAG

ZhenheAI improves retrieval accuracy with hybrid search, reranking, citations, and eval datasets, then designs chunking and indexing for proprietary enterprise data.

Agentic Workflow

ZhenheAI designs agent workflows that call APIs, execute multi-step work, and preserve audit trails, with tool use, function calling, and fail-safe handoff.

Deployment & SLA

ZhenheAI delivers more than a repo: observability, alerts, runbooks, documentation, and maintenance process. SLAs cover latency, availability, and incident response.

Lifecycle / Delivery Flow

SOW → prototype → eval → launch → SLA

Every custom system moves through verifiable delivery checkpoints so technical decisions, acceptance criteria, and maintenance ownership are aligned before launch.

SOW

Define scope, data sources, integration boundaries, KPIs, and ownership.

prototype

Build a testable prototype to validate retrieval, workflow, and user task paths.

eval

Create eval datasets, rubrics, precision/recall targets, and human UAT gates.

launch

Complete deployment, permissions, monitoring, documentation, and go-live cutover.

SLA

Deliver runbooks, alerts, incident response, and maintenance cadence.

Capability Matrix / Measurable KPIs

latency (response time)
availability (SLA)
retrieval precision/recall
MRR/NDCG
UAT pass rate

Pricing

One-time system development quote by SOW plus first-year maintenance / SLA

Deposit, Alpha, Beta, production launch, and operations billed by milestone

Request Technical Specification Discussion

Turn AI from a demo into a system the enterprise can truly rely on.