One engineer. Six production brands. No account managers.
You're going to look us up. So let's save you the trip: IgnitivIO is founder-led. There is no floor of junior developers, no sales team, no offshore delivery arm. There's an engineer who builds systems, and the agent systems he built to run six brands at once.
For custom AI work, that's the arrangement you want — and the one most firms charge more to give you less of.
The person who scopes it builds it.
Here's how custom AI work usually goes wrong. A senior person scopes the project and wins the deal. The build gets handed to whoever is available. Six weeks later you're explaining your own business back to a third person, and the thing that ships resembles the proposal about as much as a stock photo resembles your office.
Nobody lied to you. The information just died in the handoffs.
That failure mode doesn't exist here, because there are no handoffs. The conversation where you describe the problem, the architecture decisions, the code, and the 11pm message when something breaks in production — all the same person. What you lose in headcount you gain in the thing that actually determines whether custom software works: continuous context.
The honest tradeoff: we take on fewer engagements than an agency with a bench, and we'll tell you when we can't take yours. That's the cost of the arrangement, and it's a real one.
How does one engineer run six brands?
The same way we'd build it for you. That's not a clever line — it's the entire reason this firm is credible.
Inbound email across six mailboxes is read, drafted, and routed by agents. Outreach research runs as an automated pipeline. Reporting, monitoring, and content generation happen without anyone opening a spreadsheet. A multi-tenant platform runs the dashboards. Every one of those is a system we designed, built, shipped, and now depend on daily.
So when we tell you an agent should have a human-approval gate before it sends anything — that's not a policy from a slide. It's what we do to protect our own reputation, every day, on our own mail.
Most AI vendors demo a product. We're running the reference implementation in production, in public, and you can go look at it.
Four commitments.
We'll talk you out of it
If an off-the-shelf tool solves your problem for $40/month, we'll say so on the first call — and we won't quote you $30,000 to rebuild it. Custom work is expensive and should be the last resort, not the first pitch.
Humans stay in the loop
Agents draft; people approve the decisions that carry risk. Anyone promising fully autonomous AI for every workflow is selling past what the technology reliably does. We build the checkpoint in rather than apologize for it later.
Errors fail loud
The worst automation failure isn't a crash — it's a system that quietly stopped working three weeks ago and nobody noticed. Everything we build is instrumented to complain immediately when it breaks.
You own it
Documented, handover-ready, running on your infrastructure. You can take what we built and operate it without us, or hire someone else to. Lock-in is the problem we exist to solve, not a business model we'd adopt.
The questions diligence usually asks.
Talk to the person who'd build it.
Thirty minutes, no pitch. You describe the problem; you get an honest read on whether it's worth building and whether we're the right people for it.
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