Canton, Michigan • Metro Detroit • Nationwide

AI & RAG Development for Delivering Fast Answers and Productivity

We design and build retrieval-augmented AI solutions that power your team: faster answers, fewer clicks, and measurable wins for support, operations, and knowledge work.

Discuss your AI use case See how we build software

Overview

Practical AI that stays grounded in your data

We build AI assistants and search that cite sources, respect permissions, and plug into your tech stack. Our focus is creating business value: reduced search time, self-service, fewer escalations, and faster project cycles.

Core stack: vector or hybrid retrieval (Elasticsearch/Opensearch + embeddings), document pipelines (OCR & parsing), prompt/response testing, and cloud first hosting. We work in PHP, Python, and JavaScript alongside your existing systems.

Capabilities

What we deliver with AI & RAG

Chat & Knowledge Assistants

Q&A over company information, SOPs, tickets, and docs - with citations as needed.

Semantic Search

Vector + keyword search through PDFs, HTML, spreadsheets, and email threads.

Document AI

OCR, table extraction, redaction, summarization, and structured exports.

Agents & Automations

Guardrailed actions: create tickets, update orders, draft replies - always with approvals & logs.

Multi-tenant & SSO

Organization/user aware retrieval, SSO integration.

Observability & Analytics

Quality dashboards: response accuracy, deflection, latency, & cost per interaction.

Our DevOps approach

How it works

Right-sized RAG architecture

We design for accuracy and maintainability. That means clean ingestion, normalization, and prompts that cite sources.

Ingestion from drives, EHR/ERP/CRM, documents, and email
Chunking & metadata (owners, dates, labels, PII flags)
Hybrid indexes (keyword + vector) with per-doc permissions
Prompt routing, function calling enhance workflows
Evidence-first responses with links & confidence signals

Architect my use case About MortonTech

Use cases

Where AI & RAG move the needle

Support agents

Suggests answers with citations, drafts replies, and plans follow-ups.

Policy & document Q&A

Ask questions across PDFs, spreadsheets, emails, and any unstructured data. Get answers you can trust.

Agent actions

Automated tools to create tickets, update orders, generate drafts, and more.

Healthcare Finance eCommerce

Engagement

How we work with your team

Discovery Sprint

1–2 weeks to validate a use case, map data sources, plan architecture, and define success metrics.

Pilot to Production

Fast, iterative development gets you productive quickly as your RAG enviroment is built.

Operate & Improve

Dashboards, user evaluation, prompt/response improvements.

See our DevOps approach

FAQ

AI & RAG questions we get a lot

Yes. We use retrieval-first prompts, citations, and guardrails that prefer your content. We can also block unsupported answers or require human approval for actions.

Not without your direction to do so. We can keep data on your cloud and apply strict access restrictions. We document usage for your security team.

We agree on KPIs up front and create dashboards to track progress and success.

Sure! Please visit our website at ragdevelopment.com for more details on our approach to RAG development.

Ready to pilot AI and RAG with your data?

Give us a sample of your content. We’ll propose a low-risk pilot with clear success metrics.