Names anonymized - the work isn't. Numbers measured, not modeled. If a case study sounds relevant, we'll send you the named version under NDA after a discovery call.
A D2C services brand was buried under repetitive WhatsApp + email queries: order status, shipping windows, refund policies. Their 6-person support team was drowning, and queries grew faster than headcount.
14 hours of operator time per week, every week, answering the same 80% of questions. Customers waited 6–9 hours for a response. NPS was sliding.
FDE spent 5 days on-site reading actual conversations. We shipped a RAG agent trained on FAQs, policies, order data, and 18 months of past chats - with hard rules for escalation. Human handoff on anything ambiguous.
Anthropic Claude + pgvector RAG + WhatsApp Cloud API + Zendesk handoff. Audit log on every reply, daily review meeting for the first 30 days.
L1 tickets stopped landing in human queues. Support team moved to higher-value retention work. Customer-side latency went from hours to seconds.
A growing logistics company was running operations on Google Sheets, two WhatsApp groups, three SaaS tools, and a lot of phone calls. Nobody could see the same number. SLA breaches were guesswork.
Dispatchers updated 6 spreadsheets manually after every shipment. The COO couldn't get a real number for "shipments at risk" without calling someone. Finance reconciled at end-of-month - too late.
FDE shadowed dispatchers for 8 days, then we built a real-time operations dashboard. Role-based access (driver / dispatcher / COO / CFO), SLA alerts, automated client notifications, full audit trail.
Next.js + Postgres + Supabase Realtime + Twilio + an event bus syncing to existing TMS via webhooks. Hosted on the client's GCP.
Manual updates collapsed. SLA breaches dropped 61% in the first quarter. They cancelled 3 SaaS subscriptions in month two. The CFO got real-time visibility into receivables for the first time.
A solo founder had validated demand for a niche property-management SaaS in the Indian market. No technical team. Investor demos booked in 8 weeks.
Founder couldn't hire engineers fast enough to ship a demo. Most agencies quoted 4 months, twice his budget. He needed working software in his hands - not a Figma file.
We scoped the MVP down to 3 jobs-to-be-done. Designed and built a multi-tenant SaaS with auth, role-based access, billing-ready architecture, admin panel, and an analytics dashboard.
Next.js + Prisma + Postgres + Clerk auth + Stripe-ready billing + Vercel deploy. Multi-tenant via tenant_id row scoping, clean schema for future scale.
Demo-ready in week 6. Founder showed real software to investors, not a slide deck. Closed his seed round end of Q1 with 4 pilot customers already paying.
A mid-sized accounting firm received 600+ vendor invoices per week across email, WhatsApp, and physical scans. Three full-time staff did nothing but data entry.
Manual data entry from invoices into Tally was the bottleneck of their accounting practice. Errors compounded. Junior staff burned out. They couldn't take on new clients without hiring.
Built an invoice ingestion pipeline: email + WhatsApp + dropbox → multimodal LLM extracts structured data → human-review queue for low-confidence rows → auto-post to Tally via API.
Gemini multimodal for extraction (per-page confidence scoring), n8n for the workflow, Supabase as queue + audit log, a small web UI for the review step.
Three accounts assistants moved to client-advisory work. The firm took on 14 new clients in the next quarter without hiring. Cost: $1.4k one-time + $50/mo in API costs.
A multi-clinic chain had a patient bottleneck at the front desk. Three different EMR systems across locations, paper intake forms, manual insurance verification. Wait times: 22 minutes.
You can't fix this from a Zoom call. Every clinic ran slightly differently. The previous "digital transformation" vendor failed because they shipped a generic check-in app that ignored real workflows.
Two FDEs deployed for 4 weeks - one week at each of the top-4 clinics. They watched check-ins, talked to receptionists, found 11 distinct workflows where there should have been 1. Then built it.
React Native staff app + patient self-check-in tablet + insurance API integration + HL7 bridge to the 3 EMRs. Offline-first. Designed around the actual reception desk geometry.
Wait time dropped from 22 to 7 minutes. Staff adoption was 94% in week one - because the FDE had already gotten buy-in face-to-face. Rolling out to 14 more locations in Q3.
Cut return-processing time from 4 days to 14 hours for a 200-SKU brand.
Adaptive math tutor for grades 6–10. Built in 6 weeks, 3,400 weekly users.
RAG-based clause review for an in-house team. 22 hours/lawyer/week saved.
FDE in 4 retail stores for 2 weeks. Built the inventory app store managers actually want.
Custom CMS for a digital publication. 12 editors, 6× faster than their old tool.
Real-time defect tracking across 3 lines. Replaced clipboards with iPads.
Multimodal KYC verification - drivers' license + selfie + GST cross-check.
Offline-first survey app for 140 community health workers across 6 districts.
Tell us what's broken. We'll come back in 48 hours with a recommended shape and a starting budget.
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