A top-tier US bank wanted to grow its loan book without growing headcount in proportion. We designed a credit-intelligence layer that drafts the 22 sections of a Credit Approval Memo from systems of record and flags where executed loan terms diverge from what was approved — extending the bank's process, not replacing it. The hard part was the boundary: risk rating and relationship judgment stay human, respected in the data model, not just the UI.

A high-end watch and jewelry boutique wanted to extend the showroom concierge to every channel without diluting it. We designed a phased AI concierge — web chat in the brand's voice, then live inventory and CRM, then proactive outbound — with a two-agent split between the customer-facing concierge and internal admin tooling. Luxury is a tone problem before a technology problem: measured, knowledgeable, never pushy.

A global leadership-development firm had a proven methodology at real scale — thousands of participants, 100+ workshops, four continents, eight languages — prototyped as ~24 disconnected apps plus an ERP. We designed one multi-tenant platform organized around the firm's method: content and user management as the spine, framework and trainer tooling on top, connectors over bespoke agents, migrated in phases so the firm kept running underneath.

A multi-generational family-enterprise advisory needed a private, secure home for each family's governance — one the advisory could maintain without an engineer in the loop. We built a multi-tenant governance OS: MFA, role-based access, and a CMS layer so non-technical advisors build each family's pages without code. Trust is the entire product — multi-tenant isolation had to be provably right, while the surface stayed soft enough to actually use.

A corporate-training company wanted to turn the front of its funnel into a product: assess an organization's skills, find the gaps, and map them onto its own course catalog with a hire-versus-train recommendation. We built a two-surface MVP in ~30 days — AI-led skills interviews feeding an executive analytics dashboard — white-label and multilingual from the start. The challenge was an interview that feels natural yet yields structured, analyzable signal.

An IP-licensing company read a constant stream of scripts — ~10 hours of expert analysis each, a body of proprietary method that lived only in people's heads. We built a platform that runs customizable analysis modules, refines conversationally, and learns the company's own way of reading. Underneath: an evaluation corpus and content hashing so every analysis is versioned and reproducible, not a vibe. A one-off engagement became a recurring product.

Leaders at a Fortune 500 manufacturer face crises no slide deck prepares them for. We built an AI crisis-simulation pilot: a chat-based simulator with an AI 'crisis-master' that drives a developing situation and adapts to the team's decisions, roles assigned across participants, structured as a recurring program. The craft was a crisis-master that escalates believably without railroading — pedagogically deliberate, genuinely uncertain in the moment.

An FP&A consultancy wanted to automate finance work without the all-or-nothing rewrite that sinks most such efforts. Instead of a document, we delivered an interactive thesis: each workflow is a graph where every node has a swappable Human / AI / Program implementation. Flip a node, run the workflow, and watch it block on a human step or flow through. The argument is the artifact — the client reasons about their own processes node by node.