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Core Advisory Practice

Enterprise AI Enablement

Private RAG pipelines, autonomous agent workflows, custom fine-tuning, and production LLMOps evaluation.

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Tangible Advisory Deliverables

Actionable frameworks and engineering specifications, not theoretical slide decks.

01

Enterprise Private RAG Architecture

Multi-tenant vector search with hybrid BM25 retrieval, semantic reranking, and enterprise document security filtering.

02

Autonomous Agent Workflow Design

Multi-agent orchestration architectures with deterministic tool-calling, memory persistence, and Human-in-the-Loop gates.

03

Domain Fine-Tuning & Small Language Models (SLMs)

Cost-effective open-weights model adaptation (Llama, Mistral) on proprietary enterprise data with LoRA.

04

LLMOps Evaluation & Guardrails

Automated red-teaming, hallucination metrics, latency monitoring, prompt versioning, and cost tracking.

Measurable Business Impact

< 1%
Hallucination Rate via Grounded RAG
70%
Lower Inference Cost via Hybrid SLM / LLM
100%
Data Privacy with On-Prem / VPC Isolation
Audited
Deterministic Guardrails on Agent Actions

Structured Engagement Blueprint

Phase 01

Executive Discovery & Audit

Current state assessment of architecture, team velocity, data pipelines, and business friction.

Phase 02

Target Blueprint & Trade-offs

Design of future-state architecture, build vs. buy evaluations, and vendor RFP reviews.

Phase 03

Operating Model & Roadmap

Establishing governance cadence, cross-functional data contracts, and quarterly milestones.

Phase 04

Supervision & ROI Realization

Advisory oversight of engineering execution, steering committee reviews, and metric tracking.

Discuss Your Architecture or Strategy

Schedule a confidential executive sparring session with Tri Truong to evaluate trade-offs.

Schedule Advisory Discussion