Document intake and data extraction
PDFs, scans, and photographed paperwork arrive by email and come out the other side as validated structured records in your system.
One base runs projects, capacity, and client visibility, with interfaces so nobody has to understand the underlying tables.
The problem
Projects live across a spreadsheet, a chat thread, and somebody's memory. Status questions cost an hour a day in interruptions.
Project created from a won deal, plus continuous updates from delivery.
The build
Projects, phases, tasks, people, and time as related tables rather than one wide sheet that nobody trusts.
Delivery leads, team members, and clients each get a purpose built interface exposing only what they need to see and edit.
Phase and project status computed from task state, so status is never a stale manual field.
Allocated hours against available hours per person per week, which is the view that prevents overcommitment.
A read only shared view showing milestones and blockers, which removes most status emails.
Any task past due or any phase trending late raises a flag before the client notices.
The guard rails
This is the part that separates an automation that runs for years from one that quietly corrupts your data for a month.
Honest limits
You need real relational integrity, row level security, or more than about fifty thousand records per table. That is a database, and we will build you one.
Related builds
PDFs, scans, and photographed paperwork arrive by email and come out the other side as validated structured records in your system.
Contract signed to kickoff call booked with no human touching a checklist: accounts created, folders built, welcome sequence running.
Idea to published, with every piece visible in its stage and nothing sitting in a draft folder for six weeks.
Send the form and we come back within 24 hours with a fixed price, a scope, and a date.