IgniteTech, the AI-first enterprise software company, today detailed how it is bringing AI-run software development to enterprise customers, changing the relationship people have with their software. AI does not just assist developers. Working around clock, it takes customer's bug report, finds and fixes cause, tests fix, deploys update and tells customer it is done, all automatically and within guardrails company has spent years building. CEO Eric Vaughan presented it at Financial Times Future of AI Summit in London.
The report button and what happens next: user reports problem in own words from inside product. AI reproduces it, writes fix, ships it through automated checks and writes back when live. Completion notices for three reports each naming version fix went live in. Two began as feature requests and one as defect report.
Every step is checked. Before writing fix, system interviews person who reported problem until understands it, then reproduces problem itself. Fix goes live only after passing automated tests, and system then repeats customer's original steps on live product to confirm it works before notifying them issue resolved. Feature requests follow same path.
Two internal IgniteTech systems used daily by dozens of employees already fix and improve themselves this way: KnowledgeWell internal knowledge base and Anvil account management system for one of company's largest product programs.
Vaughan, software developer by background, wrote both systems himself in under two months on purpose. "You cannot hand change this size to organization as slide deck," he said. "I needed to set table: prove it in real production software, then build harness that makes it repeatable. It is not my project anymore. It is how we build."
In early September Vaughan spent four days on Texas jury with phone off. While he was out Anvil kept fixing and improving itself shipping four releases and seventeen changes requested by five colleagues.
That harness is what IgniteTech is taking across portfolio. Every product has clear blueprint of its purpose and where headed and every request checked against blueprint before anything built. Requests that fit become features for every customer and those that don't fit go to person to decide. Each product stays one product for every customer with no custom versions to maintain. People still control logins and access, payments, deleting data and anything sent outside company.
"The guardrails are product," said Vaughan. "Anyone can let AI write code. Hard part is harness that decides what gets built, proves it works and keeps product true to what it is for. We spent nearly four years building it on top of decades of building enterprise software the hard way."
"When software breaks, you wait," said Vaughan, who also leads Khoros and GFI Software. "You report problem and told it is in backlog, line of fixes waiting turn. Backlog is word industry invented as defense. This is new age of software. If you report something broken today, it should be fixed by tomorrow morning."
"People have experienced software same way for decades: roadmaps measured in quarters and bugs that age in backlog," said Vaughan. "Anthropic and OpenAI have shown AI can write most of own code. We are bringing that to enterprise software, where customers feel it: software that works around clock, fixes reason bug happened and not just bug, and builds what you ask for."
About IgniteTech
IgniteTech is global, build-to-customer, AI-first enterprise software company helping organizations grow revenue, optimize expenses and transform through advanced AI-driven solutions. Backed by over 30 years experience in mission-critical software, IgniteTech has built track record of successful company and technology acquisitions driven by rapid innovation. Since retooling company in 2023 to become AI-First innovation organization, IgniteTech created three brand new patent-pending AI-powered innovations Eloquens AI, MyPersonas and Adminio AI along with AI capabilities across entire portfolio.
