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AI ENGINEERING · AGENT SYSTEMS

We design, build, and run AI agent systems in production.

IgnitivIO is an AI engineering firm. We build custom automation and agent integrations — inbox agents, MCP servers, multi-tenant platforms — and run them for businesses that have outgrown off-the-shelf tools.

AGENT SYSTEMS IN PRODUCTION· 6 LIVE INBOX AGENTS· MCP SERVERS SHIPPED· HUMANS APPROVE EVERY SEND· AGENT SYSTEMS IN PRODUCTION· 6 LIVE INBOX AGENTS· MCP SERVERS SHIPPED· HUMANS APPROVE EVERY SEND· AGENT SYSTEMS IN PRODUCTION· 6 LIVE INBOX AGENTS· MCP SERVERS SHIPPED· HUMANS APPROVE EVERY SEND· AGENT SYSTEMS IN PRODUCTION· 6 LIVE INBOX AGENTS· MCP SERVERS SHIPPED· HUMANS APPROVE EVERY SEND·
THE PROBLEM

The demo was real. The system around it was never built.

01
The chatbot improvised with a customer. Nobody gave it guardrails, so it guessed — and guessed wrong, in public.
02
The "AI automation" was a chain of no-code triggers. One field changed upstream and it's been failing silently for three weeks.
03
The vendor who sold it can't explain how it works — because they didn't build it either. They configured it.

None of that is an AI problem. It's an engineering problem.

The model was never the weak link — the missing guardrails, error handling, and human checkpoints were. Building that part is the actual work, and it's the part we do. Here's what it looks like when the system is built ↓

SHIPPED

We run what we sell.

Agent Systems · In Production

Agentic Inbox

Six live mailboxes. AI-drafted, human-approved.

Email agents handling real inbound across three brands, running on Cloudflare Workers. Every outbound send passes a human-approval gate — by design, not as a workaround.

Flagship Case Study · Agency Systems

806 Growth

A working agency, built end to end.

Our own local-agency brand: site, lead API, CRM automation, and audit funnel — designed, built, and operated by IgnitivIO. The systems we sell are the systems it runs on.

Shipped Product · Chrome Extension

FreeMyGHL

Defensive engineering against a moving target.

A browser extension that exports complete websites out of an AI site builder — built on intercepted APIs that change underneath it, engineered to fail loud and recover.

One engineer. Six brands. That's the point.

IgnitivIO is founder-led: the person who scopes your system is the person who builds it — and the person who answers when it breaks. No account managers, no handoffs. How does one engineer run all of this? The same agent systems we sell you.

See everything we've shipped
THE DIFFERENCE

AI doesn't fail. Unengineered AI does.

The gap between a demo and a system you can trust with customers is engineering.

Off-the-Shelf AI

  • Generic prompts guessing at your business
  • Breaks silently when anything changes
  • No one accountable when it's wrong

Engineered Systems

  • Built against your actual data and workflows
  • Failure modes designed for — errors loud, humans in the loop
  • Run and maintained by the people who built them
How we work
FAQ

Fair questions. Straight answers.

An AI engineering firm builds and operates AI systems rather than reselling tools. We build custom AI agents, MCP servers, and automation pipelines — and we run the same kind of systems for our own brands: inbox agents across six live mailboxes, a multi-tenant platform, and shipped products.
A fixed-fee engagement that produces three things before any build begins: a system architecture, a build plan, and a real cost estimate. If you go ahead with the build, the discovery fee is credited toward it. You leave with a plan you could hand to any competent builder — including us.
Some can. Most shouldn't. Reliable agent systems put human-approval gates at the decisions that matter — our own outreach agents never send a message without human sign-off. Anyone promising fully autonomous AI for every workflow is selling past what the technology reliably does today.
Model-agnostic by engineering, opinionated by experience. We work across Claude, GPT, and Gemini and route each job to the model that's best at it — our own platform's LLM router does exactly that in production, so nothing locks you to one vendor's roadmap. Infrastructure: MCP, Cloudflare Workers and Pages, Supabase, GoHighLevel, and custom APIs. We integrate with what you already run before proposing to replace anything.
Usually no. Most engagements connect and extend what you already have. We propose a replacement only when integration would cost more than rebuilding — and we show that math in the discovery, not after the invoice.
A growing share of buying decisions now start with someone asking ChatGPT, Perplexity, or Gemini who to hire — not Google. Those engines cite sites with structured data, direct answers, and machine-readable signals like llms.txt. Every site we build ships with that engineering included. Most agencies haven't started.
Custom builds are project-priced from the discovery's build plan, so the quote reflects actual scope instead of a guess. Productized automation runs on flat monthly pricing. Discovery is the fixed-fee entry point for both — and the honest answer to "what will it cost" is "let's scope it."

Start with a scoped discovery.

Fixed fee. We map your workflows, design the architecture, and hand you a build plan with real costs — credited toward the build if we do it together.

Book a Discovery Call

One thing before you go

See how your business reads to Google and to AI answer engines. Send a URL; we send back a hand-reviewed written report. No sales call attached.

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