AI Sales Squad exists because enterprise AI has a delivery problem: the consultants leave decks, the vendors leave licenses, and almost nobody leaves running systems with measurable ROI. We do.
We don't sell strategy decks. Every engagement ends in something running.
We don't drop software on your team and wish you luck. We deploy it, operate it, and answer for it.
The product we sell is the product our founder runs every day inside a NASDAQ-listed public company. We sell what we operate.
Two decades of enterprise technology leadership at Fortune 100 scale. Jyoti led data-platform integration through four major M&A events — including the $7.2B merger that created TD SYNNEX (#64 on the Fortune 500) — building unified global platforms serving 10,000+ users and 100TB+ of data, and leading global teams of 150+.
Today, as Chief AI Officer and CIO of a NASDAQ-listed manufacturer, she built and operates the production AI estate behind this product — including the AI sales platform whose morning brief the CEO reads every day. She architects the systems, builds them, and runs them in production. Strategy and software — not one or the other.
Board Director, Chandler Cultural Foundation · Technology Advisor, Fresh Start Women's Foundation · Snowflake Data SuperHero · OnCon Data & Analytics Professional of the Year · MS Information Science & Technology, Missouri S&T · Certificate (Big Data), MIT · BS Mathematics & Statistics, Banaras Hindu University
Most AI implementations fail at adoption, not deployment. Cindy has spent 30 years solving exactly that problem — inside the Federal Reserve Bank of Richmond, with clients like Microsoft and Yahoo!, and across hundreds of organizations of every size. She built and scaled an e-learning company from $1M to $4M+ in revenue and 12 to 50 staff as President/CEO, delivered organizational strategy to middle-market C-suites at Insperity — including M&A integrations for PE-acquired companies — and serves as a professor of practice and published researcher in organizational change.
Her role here is the one every other AI firm skips: she maps how work actually flows through your organization, identifies where people will resist and why, designs the transition, coaches your leaders through it — and makes sure the ROI is real, not just on paper.
Ed.D. Human Resource Development, The George Washington University · Former Director of Training & Development, Federal Reserve Bank of Richmond · Former President/CEO, Spectrum Pacific Learning · Adjunct Professor, University of San Diego · Published researcher in organizational learning and change
Together, the founders cover the whole problem: one builds the systems, one makes them take root.
We shield our clients from the two biggest risks in enterprise AI: deploying without governance, and spending millions without production results.
Every engagement ends with production systems, not recommendations.
Audit trails, human-in-the-loop controls, and access discipline built into the foundation — not bolted on.
If the CFO can't verify it, it doesn't count. Every number we use is one the CFO has verified.
AI gets exactly as much independence as it has earned — per workflow, with a human holding the dial.
Our founder audited her own AI portfolio and killed the systems that weren't earning. Expect the same honesty about ours — and yours.
No vendor kickbacks, no reseller margins, no platform allegiances. We recommend what works.
No SDRs, no discovery-call gauntlet. Your first conversation is with the person who builds and runs the product.
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