our take
outcome driven
real results from real engagements.
built a custom ai harness so a finance team could query reporting metrics instead of digging through spreadsheets, with a clear audit trail and exports to spreadsheets or presentations
codified supply chain, manufacturing, and sales reporting, cutting a 10-hour process to minutes and surfacing data issues behind seven-figure discrepancies
replaced spreadsheet pricing and manual invoicing with an invoice generator and lightweight crm, built on a new data foundation with custom pricing by customer group and a full audit trail
connected jira, monday.com, pricing tables, and project templates to end double-entry, built ai workflows for case studies and figma-to-shopify handoff, and trained the team on cursor
built a pricing model and optimized delivery scheduling algorithm across hospital locations and delivery windows, supporting the signing of a large medical device supplier
built an internal app that joins and normalizes accounting, crm, and trucking data for live quote-to-cash visibility, spotting bottlenecks and cash flow volatility earlier
replaced legacy saas tooling with custom claude code instances, cut tool spend and accelerated execution across the stack
automated go/no-go underwriting so analysts focused on high-potential deals
rolled out cursor across dev and design teams, compressing build cycles and shipping more product with the same headcount
built an ai video pipeline for a cpg brand and turned it into a repeatable content engine
built market intelligence reports for executives using ai simulations of buyer behavior to expose messaging gaps, sharpen positioning, and find where gtm was leaking
deployed research agents to run outbound sourcing and sequence prioritization
transformed raw transcripts into publish-ready posts with brand-tone alignment
automated bom processing with live inventory and cost visibility for ops
surfaced major inventory gaps and order-vs-usage discrepancies for finance to reconcile
shipped a real-time freight pricing gauge that flags at-risk lanes for quoting
built a content-transformation mvp and handed it off with clear runbooks
ran an aeo program: what-to-publish plan, citation/content gap map, and an ai assistant prompting next actions
organized outreach with ai-driven research to lift pipeline quality and meeting flow
automated pricing/quoting checks so sales could issue confident same-day quotes
built decision dashboards that cut time-to-answer across ops and leadership
ingested knowledge bases (docs, faqs, reviews) to improve answer accuracy and coverage
advised start-up on icp, positioning, and a tighter strategic sales motion
implemented claude as a founder's working layer, offloading execution so leadership stayed focused on what actually moves the company
the trajectory
knowledge transfer,person to machine
downloadingdomain knowledge
the brainas archive
expertise madeexecutable
what could AI recover for your team?
conservative estimates based on peer-reviewed studies from Stanford, MIT, Harvard, and BCG.
At industry-average rates, that's approximately $0 in recovered capacity per year.
who we are
we operate as your 10x (maybe 100x) engineering team
ctos, founders, and senior engineers who combine strategic thinking with hands-on execution
ctos
Strategic technology leaders who've scaled companies from zero to millions
founders
Entrepreneurs who understand business complexity and operational excellence
senior engineers
Technical experts who've built and shipped production systems at scale