Proprietary AI playbooks, stress-tested in PE-backed environments to move real EBITDA.
We offer enablement + 3 engagement types, sold standalone or in phases, leaving every team more AI-native than it found them.
Set the foundations so non-technical staff, engineers, and leadership all speak the same AI language. Most of our work lands harder when these are already in place.
Most AI firms are technical but don’t understand value creation. Most consultants understand value creation but lack AI expertise. We bring both, with proven playbooks for AI deployments tied to value creation.
Our co-founders come from J.P. Morgan, where they led trading, credit research, and asset management, and from Aurelius, a leading buy-and-build PE fund. We model EBITDA levers the way a finance team would, not the way an AI lab would.
Our co-founders are recognised AI thought leaders with 200k+ followers and a best-selling book, Building LLMs for Production, used as a reference inside enterprise AI teams. 10,000+ copies sold.
Our Towards AI Deployment practice ships custom systems through engineering pods, with strategists and leaders from Palantir, BCG, UBS, J.P. Morgan, Aurelius Growth Capital, and MILA. We know how AI lands in real organisations because we have been the people landing it.
Saved hours are capacity, not EBITDA. We count impact only when the operating plan changes.
Workers logged material costs per job on paper. Backoffice manually re-typed from paper into Excel. Backlog piled up increasing Sales Outstanding, while monthly cost reporting was unstructured, leading to weaker audit trails.
Hours of finance team time saved per week. Audit-ready reports available instantly, not at month-end.
Multiple team members spent hours daily scanning fragmented tender sites across many geographies. Easy to miss high-value tenders and impossible to quickly prioritise the ones worth pursuing most.
Many hours of analyst time recovered per week. Pipeline focused on the tenders the group is structurally most likely to win.
Special agents needed to apply state-of-the-art AI tools to mission-critical intelligence workflows, but lacked technical confidence with modern LLM pipelines.
Special agents trained and ready to deploy AI tools across operational intelligence workflows.
Build an agentic engine that reproduces banker reasoning to identify what to pitch, to whom, and when, for an agentic B2B financial-technology platform founded by a former banking partner.
Banker reasoning reproduced at scale across client-cloud, API-only and locally hosted configurations, in live demonstrations with global banks.
A 30-minute call with the Towards AI leadership team. We’ll discuss the value-creation priorities on your desk, where AI can move the number, and the shape of an engagement.
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