Ignited Business
We build AI systems that run in production
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About Ignited Business
We build AI systems that run in production — not pilots that stall after the demo. Most AI projects don't fail on the model. They fail at integration: connecting a model to a CRM, a document store, an approval workflow and an audit log, then keeping it running when the API rate-limits at 4pm on a Friday. That integration layer is what we do. What we build AI workflow automation — enquiry triage, lead routing, data movement between systems, recurring reports. Typically 3–12 workflows live in two to four weeks. Document intelligence — extraction, validation and routing for invoices, contracts, claims and forms. We write the accuracy benchmark into the contract, so "working" is a number both sides agreed to, not an opinion. RAG and conversational systems — retrieval over your own documents, with permissions, citations and a defined human hand-off. Including WhatsApp Business API assistants. AI-native products — full builds where AI is the core of the product, not a feature bolted on afterwards. Web, mobile and integrations — Next.js, React Native, Node and Python, delivered by the same team. Why clients choose us We built and operate FlowReach AI, our own WhatsApp automation platform with paying customers. It's a live system we maintain under load, not a case study. It means we quote timelines that hold and know what production AI actually costs to run per conversation. Every engagement ships with monitoring, error handling, a graceful degradation path for when a model or API fails, and a documented rollback. We name the likely failure modes in the proposal, before you sign. How we work Fixed scope, fixed price, fixed date — overruns are our problem. Weekly demos, even in the weeks that went badly. You own the repository from day one, with full source, documentation and a runbook at handover. Most engagements start with a short paid audit: we map your process, quantify where the time goes, and tell you honestly what's worth automating.
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