Spring Street AI
Forty years of operating judgment and twelve months of focused AI engineering, brought to a small number of professional-services firms in Southern California.
Get in touch — sanjeev@springstreetai.comThe shift
Three numbers from the 2025 industry research that frame why this conversation matters now.
Sources: CPA.com 2025 AI in Accounting Report; Journal of Accountancy, August 2025.
Where we work
Each is a focused, contained problem with measurable outcomes — not a vendor pitch about transformation.
Drop in any IRS, FTB, or sales-tax notice; get a one-page summary plus a draft response in 60 seconds. Partner reviews and signs.
Extract structured data from messy 1099s, W-2s, and K-1s with greater than 95% accuracy. 90% reduction in manual keying.
AI-assisted categorization, anomaly detection, and pre-built close — 7.5 days faster month-end with the same headcount.
Long client threads summarized into briefs; replies drafted in your firm's voice; partner only sees what needs partner judgment.
Plain-English question to cited authority in 15 minutes instead of three to five hours. Answers grounded in source documents.
Capture the firm's institutional memory — partner judgment, prior engagements, working style — into an internal assistant.
The engagement
Engagements are intentionally small and focused — proof through one workflow, not promise through a hundred.
A typical pilot
We work with you to pick the single highest-leverage workflow in your firm, build it, train two of your people on it, document it, and prove ROI — all in 90 days, with no commitment beyond that.
The principal
Sanjeev is an electrical engineer who graduated in 1979 from one of India's top-ranked technical universities. He has spent the last forty years running operating businesses across multiple industries — the kind of work that teaches you how a real organization adopts new technology, where the friction lives, and why most "transformation" engagements fail at the last mile.
For the last twelve months he has been studying AI deliberately, and specifically as it applies inside professional-services firms. Spring Street AI is the result: a small practice operated through Micro Web Systems, Inc., focused on a handful of CPA firms in Southern California where the engagement can be hands-on rather than hands-off. Engineer's mind, operator's judgment, no consulting-firm overhead, no software-vendor agenda.
The practice is not for everyone. It is for firms whose leaders already sense that the next two years will matter — and who would rather work with a peer who has done the homework than a vendor with a deck.