Applied Open Source, LLC

Affordable AI and Open Source Automation for Small and Mid-Size Businesses

Applied Open Source designs, builds, and operates practical AI solutions that increase revenue, reduce manual work, and modernize operations. Over 30 years of engineering and business experience, now focused on applied AI for real-world results.

Business Evolution Starts with Applied AI

The AI landscape changes every month. Small and mid-size companies need solutions that are practical, affordable, and maintainable not experiments.

Applied Open Source combines modern AI platforms with proven open-source technologies to deliver:

AI copilots for customer support, sales, and operations
Automations that connect CRMs, email, ERP, and back-office tools
Voice and chat agents that qualify leads and book appointments
Analytics and reporting copilots that turn raw data into clear decisions

Each engagement focuses on measurable business outcomes: more revenue, less manual work, and better customer experiences.

Optimize Operations Without Enterprise-Level Budgets

Small and mid-size organizations deserve the same caliber of AI capabilities as large enterprises, without enterprise pricing. Applied Open Source designs systems that:

Use a mix of low-cost SaaS and open-source components
Avoid vendor lock-in and unnecessary long-term commitments
Can be maintained by internal teams after hand-off, if desired

Result: a modern AI-enabled architecture that pays for itself in saved time, higher close rates, and better customer retention.

AI opportunity assessment for existing systems

Use-case prioritization by ROI and complexity

Architecture and tooling recommendations (hosted vs. open-source)

Implementation roadmap that fits budget and risk profile

AI chatbots for websites, portals, and help centers

Internal knowledge copilots for SOPs, wikis, and policy documents

Sales and customer success copilots that summarize calls and suggest next steps

Multi-channel assistants (web, email, Slack/Teams, WhatsApp)

Lead capture → qualification → CRM updates → follow-up email sequences

Ticket triage and routing across helpdesk, email, and chat

Document ingestion, tagging, and routing workflows

Integration with existing CRM, ERP, HR, and finance platforms

Self-hosted AI stacks for data-sensitive environments

Open-source vector search and RAG (retrieval-augmented generation) setups

Cloud or on-prem deployment and hardening

Ongoing support, monitoring, and optimization

Committed to Practical, Applied AI

Every project is scoped to minimize risk and maximize visible value in the first 60–90 days. Engagements favor:

Small initial pilots with clear success criteria
Transparent pricing and fixed-scope statements of work
Full access to configurations, workflows, and code

The goal is long-term partnership, not long-term dependency.

Ready-to-Deploy AI Solutions

Always-on support and pre-sales agent trained on existing FAQs, policies, and product information.

Voice agent that answers calls, qualifies callers, books appointments, and sends confirmations.

Search and ask questions across SOPs, policies, contracts, and documentation with source-linked answers.

Campaign ideas, email sequences, social posts, and landing page drafts that stay on brand and on message.

Each solution is built on a small, well-understood stack so cost and support remain predictable.