Pillar · AI Systems
Custom AI Systems for Tennessee Businesses
Most agencies bolt a chatbot widget onto your site and call it AI. We build the actual systems that run on top of Claude, GPT, and your own data — chatbots, agents, automations, and internal tools that do real work.
An AI system isn’t a single feature — it’s a working piece of software that uses large language models to do something specific for your business: triage tickets, answer customer questions with your real product data, draft contracts from a template, route leads to the right rep, summarize PDFs your team gets every day. We build five flavors of this for businesses across Nashville and Jackson, Tennessee.
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Our AI Systems services
AI Chatbots & Assistants
Not a generic Chatbase widget. A real assistant that knows your products, your pricing, your hours, and your tone — answering customers around the clock and routing the ones who want to talk to a human.
AI Workflow Automation
Stop pasting between tools. We build workflows that watch your inboxes, your forms, your CRMs — and use AI to summarize, classify, route, draft, and act on what comes in.
AI Agents
An agent isn't a chatbot. It's an AI worker — given a goal, it plans, takes actions across your tools, and reports back. We build agents for sales triage, recruiting, research, and operations.
Document & PDF AI
Every business gets buried in PDFs, scanned forms, contracts, and invoices. We build AI systems that read them, pull out what matters, and put the data where you actually need it.
Internal AI Tools
Your team has tools they wish existed — a proposal drafter, a contract reviewer, a competitive-research dashboard. We build them. Fast.
FREQUENTLY ASKED
Frequently asked questions
What's the difference between an AI system and a chatbot?
A chatbot is one type of AI system — a conversational interface. AI systems can also be silent: an agent that watches your inbox and routes leads, a workflow that processes every PDF you receive, an internal tool your team uses to draft proposals. Both rely on the same underlying LLMs (Claude, GPT-4, etc.); the difference is whether there’s a chat window or not.
How long does an AI system take to build?
A focused chatbot or single-task automation: 2-3 weeks. A multi-step agent or internal tool: 4-8 weeks. Larger document-processing systems with custom integrations: 6-12 weeks. We scope every project before we start so you know the timeline up front.
What does it cost to build a custom AI system?
Most projects fall between $4,000 and $25,000 depending on complexity. Ongoing API costs (the LLM calls themselves) are usually $20-$200/month for small businesses, $500+/month for high-volume systems. We price the build separately from the run-cost so you can budget both.
What happens if Claude or GPT changes their API?
We architect every system to be model-agnostic — switching from GPT-4 to Claude Opus or Gemini takes hours, not weeks. The prompt logic, your business rules, and the integrations all live in our code, not in a vendor’s walled garden.
Do you maintain it after launch?
Yes. We offer monthly retainers that cover model upgrades, prompt tuning, monitoring, and feature additions. Most clients spend $300-$1,200/month on retainer for a system that would cost a full-time engineer $8,000+/month to maintain in-house.
Free · 5 minutes · No card required
BEFORE WE TALK
Before we talk, find out where you stand.
Run your own free AEO Scorecard. We test 3 of your real customer queries against ChatGPT and Claude, score your visibility, and email you a personalized report — including the businesses getting cited instead of you.
NEXT STEP
Ready to talk?
30-minute discovery call. We’ll help you figure out where in the AI Systems stack to start, and whether it’s worth the investment.