In practice

Agents that shipped. Because the data was ready.

Anonymized engagements — real timelines, real foundations, no invented metrics. Start with the production invoice agent that proved the argument on this site.

In practice

One month of data engineering beat seven months of agent tuning.

Client: Fortune 100 fintech
Domain: Accounts payable — invoice OCR and posting

A Fortune 100 fintech tried to automate invoice OCR and accounting entries with AI agents. Results stayed mediocre — until the data underneath was rebuilt.

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A readiness assessment maps the gaps between where you are and a foundation agents can trust.

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