Recover
Engineers + AI analysisMap every rule, screen, integration and data flow in your application, with evidence your team can review.
BEFORE → AFTER · SCROLL TO TRANSFORM
01 Dense forms → Guided workflow Insurance
From ten tabs of required fields to a quote that prices itself as you answer.
BEFORE
- 10 tabs and 37 required fields before you see a price
- Validation errors only appear when you press Rate
- Agents re-type data that public records already have
AFTER
- Six short steps; only questions that change price
- Known data filled from public records and verified
- Live premium and underwriting notes as you go
What we did Mapped which inputs actually drive rating, reused the existing rating engine behind an API, and redesigned the flow with real users.
→ Faster quotes, fewer abandoned applications, and a product that demos well against newer competitors.
02 Green screen → Modern web Distribution
From F-keys and codes only veterans remember to a screen anyone can use on day one.
BEFORE
- Training takes weeks: options, F-keys and screen codes
- One item, one warehouse, one screen at a time
- Reorder risk shows up as *BELOW* — if you notice it
AFTER
- Plain-language item page with live stock by location
- Forecast shows when you run out and what is arriving
- Assistant spots fixes, like stock waiting in receiving
What we did Wrapped the proven inventory logic in an API, then designed a new web front end and a scanner view on top of it — no big-bang rewrite of the core.
→ New hires are productive in a day, and the system finally looks like the product you sell.
03 Static reports → Embedded analytics Retail
From 47-page store reports and Excel exports to answers inside your product.
BEFORE
- Data as of last night; exports truncate at 65,536 rows
- “Store Sales v3” vs “v2 (OLD)” — which is right?
- New report requests take four to six weeks
AFTER
- Live dashboards embedded where customers already work
- One definition per metric, reused everywhere
- Ask a question in plain English and see the evidence
What we did Inventoried every report, reconciled metric definitions, built a governed data layer, and embedded self-service analytics with an AI analyst.
→ Reporting becomes a feature customers pay for — not a backlog of report requests.
04 Manual review → AI agent in your product Banking & lending
From retyping tax returns into Excel to an agent that prepares the credit memo.
BEFORE
- Financials retyped from PDFs into a spreading sheet
- Deposits in a terminal, bureau data in another PDF
- Applications wait 11 days in the queue
AFTER
- Agent spreads the returns and links every number to its page
- Checks DSCR, deposits and guarantors against credit policy
- Drafts the memo and flags exceptions; the committee decides
What we did Connected a scoped agent to core banking, documents and bureau data through controlled tools, encoded the credit policy checks, and kept the human decision.
→ Ship real AI features in your product — useful, permissioned, and auditable.
05 Legacy web portal → Modern web Healthcare
From “we will call you within two business days” to booked in under a minute.
BEFORE
- Request a slot, then wait for a phone call
- Existing patients only; new patients must call
- Session expires in 10 minutes
AFTER
- Real-time availability across clinicians and video visits
- Insurance verified and forms pre-filled
- Check-in assistant collects symptoms before arrival
What we did Kept the scheduling and eligibility rules, exposed them through a secure API, and designed a booking flow that works on any device.
→ Fewer phone calls, more bookings, and a portal patients actually use.
06 Exposed logic → Protected server boundary Manufacturing
From a quoting engine anyone can decompile to one that stays on your servers.
BEFORE
- Machine rates, scrap factors and margin floor readable in minutes
- Material tables and quoting rules ship as plain files
- Every installer you ship is a copy of your know-how
AFTER
- The client only sends part specs and shows the quote
- Costing engine, rates and tables run behind an authenticated API
- Quotas and monitoring watch for extraction patterns
What we did Assessed what the shipped app revealed, moved the valuable engine behind a server boundary, and re-tested exposure against the original.
→ Modernize without handing competitors your playbook. (Visible behavior can still be observed — we tell you what remains.)
