A selection of the technology challenges we've solved for our clients — from AI automation to healthcare infrastructure. Full case studies with client permission are being documented; below are representative examples of the work we do.
A B2B software company was spending 4+ hours per day manually qualifying inbound leads — reviewing LinkedIn profiles, cross-referencing CRM data, and drafting personalised outreach emails. The process was inconsistent and didn't scale.
We designed a multi-step AI agent pipeline using Claude SDK and their existing CRM via a custom MCP server. The agent automatically researches each lead, scores fit against defined criteria, drafts a personalised email, and flags only high-priority leads for human review.
A retail brand with 3,000+ SKUs was running on an off-the-shelf Shopify theme that couldn't handle their complex product configuration logic or their warehouse's fulfilment workflow. Every custom order required manual intervention.
We rebuilt the storefront as a headless Next.js application on Shopify's Storefront API, with a custom-built inventory and fulfilment system behind it. Product configuration rules and bundle logic were handled in a dedicated service rather than shoehorned into Shopify.
A healthcare provider was managing patient appointments, clinical notes, and referrals across three disconnected systems — a spreadsheet, a legacy scheduling tool, and a third-party EHR. Staff were duplicating data entry and the referral tracking had no audit trail.
We built a unified patient management portal that integrated with their existing EHR via HL7/FHIR APIs, replaced the scheduling system, and added a full audit trail for all clinical actions. Role-based access control ensured clinical staff only saw what was relevant to their role.
Describe the problem you're trying to solve. We'll tell you honestly how we'd approach it and whether we're the right team.