What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post → What We Deliver
Custom RAG Systems service offerings.
The major engagement types we run on Custom RAG Systems — each with dedicated playbooks, accelerators, and experienced practitioners.
01
RAG Architecture & Design
End-to-end RAG architecture covering ingestion strategy, chunking approach, embedding model selection, retrieval pipeline, and evaluation framework.
02
Vector Database Implementation
Pinecone, Weaviate, pgvector, Qdrant, and Vertex AI Search deployments — chosen for fit, not vendor relationship.
03
Multimodal RAG
Retrieval over documents, images, audio, and structured data with appropriate embedding and retrieval strategies for each modality.
04
Agentic Retrieval
Agent-driven retrieval where the agent decides what to retrieve and when — beyond simple semantic search.
05
RAG Evaluation Framework
Golden datasets, retrieval quality metrics, end-to-end response evaluation, and continuous monitoring at production scale.
06
RAG-on-Salesforce
RAG architectures that ground Salesforce Agentforce and Einstein in enterprise knowledge bases beyond the standard CRM data.
Outcomes We Deliver
The metrics we actually move with Custom RAG Systems.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
01
Retrieval relevance
Reach 85%+ top-3 hits
02
End-to-end response accuracy
Reach 95%+ for production
03
Time to answer (knowledge work)
Reduce from hours to seconds
How We Work
The engagement model.
Predictable phases. Clear deliverables. No surprises.
01
Discovery
One to two working sessions to map your current state, business goals, and gaps. We come out with a written scope and recommendation.
02
Design
Documented architecture, realistic timeline, and transparent commercial proposal. No surprises and no hidden scope.
03
Build
Configuration, development, integrations, data migration, and QA — with weekly demos and on-the-fly adjustments.
04
Launch & Optimize
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live.
Featured Insight
Insights on Custom RAG Systems.
Practitioner-level analysis from the consultants delivering the work.
AI Implementation
What it actually takes to ship a production AI agent in 2026
AI Implementation
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