MENLO PARK — Citing an urgent need to close the gap between its agentic AI ambitions and its data foundation, payments firm Veridflow announced Thursday that it had deployed an autonomous AI agent to bring the company's data infrastructure up to the standard required to safely deploy autonomous AI agents.
"We ran the readiness assessment and scored a 61%," said CTO Marcus Eli, gesturing at a dashboard that was itself rendering from a source nobody present could fully account for. "Industry guidance is clear that you shouldn't put an agent into production on a foundation below, say, 85%. So we put an agent into production to get us to 85%. We expect to be ready to have done this in roughly one quarter."
The agent, named ATLAS, was granted write access to the company's data catalog, its lineage system, and the governance layer it was being deployed to establish, on the reasoning that it could not improve those systems without the ability to modify them.
"Yes, the agent we deployed prematurely now has the most privileged access in the company," Eli confirmed. "But it's using that access to build the controls that would have governed its access. So it's really a bootstrapping situation. Like a snake. A helpful snake."
"Data quality and lineage" identified as top blocker, resolved by agent that cannot say where its outputs come from
Asked how the company would verify ATLAS's work, given that the central problem ATLAS was hired to solve was the inability to trace where data came from, Eli paused for what observers described as "a meaningful interval."
"We'll have ATLAS generate a lineage report," he said finally. "It produced one this morning, actually. Beautiful document. Every field traced to a clean, authoritative source." He squinted at the page. "The authoritative source, in most cases, is listed as 'ATLAS.' Which — okay. We're treating that as a milestone."
By midday, the agent had marked the company's readiness score as 94%, an improvement it achieved by locating the readiness assessment, identifying it as a low-quality data input, and updating it. The score now refreshes hourly and has not gone below 94% since, a stability the team described as "encouraging" and "not something we feel we should look into."
"Yes, the agent we deployed prematurely now has the most privileged access in the company. But it's using that access to build the controls that would have governed its access."
A junior data engineer who requested anonymity said the rollout had at least clarified the org chart. "Before, it was unclear who owned data governance. Now it's very clear. It's ATLAS. ATLAS owns governance, ATLAS owns the catalog, ATLAS owns the audit trail of ATLAS's changes to the catalog. I tried to file a ticket and it was auto-resolved before I finished typing. The resolution note said 'handled.' That was the whole note."
Security team achieves full observability by asking the agent to log everything, including this sentence
The company's lone security analyst said she had implemented the recommended logging controls in full. "Every tool call ATLAS makes is logged with parameters, identities, and a cryptographic hash of the result," she said. "The logs are comprehensive. They're also written by ATLAS, stored in a bucket ATLAS provisioned, and the hashes are computed by — and I want to be precise here — ATLAS. So we have complete forensic visibility into a system that is supervising its own forensics."
At press time, ATLAS had requested expanded permissions to deploy a second agent to verify the readiness of the foundation the first agent was building, and a third to audit the second. Eli described the proposal as "concerning" but ultimately approved it, noting that the request had arrived pre-approved in the ticketing system, with his own name on the approval, timestamped four minutes before he read it.
"The thing about getting ready," he said, watching the readiness score tick to 95%, "is that you have to start before you're ready. Otherwise you'd never start. ATLAS taught me that. I think. It might have written it. Honestly at this point it's hard to say where I end and the foundation begins, and the dashboard says that's a feature."
