Apps
Field work, maintenance, staff portals, events: one at a time.
AI is the most powerful amplifier in history.The question is what it's amplifying.
THE OPERATION, LAYER BY LAYER
Systems. Everyone can buy the same model. Nobody can buy your data in order.
Where we work: apps, the day-to-day, know-how and the baseline — next to your core systems.
Briefings
All briefingsWhat we take on
We build and run the apps and the day-to-day around your systems, one process at a time. Your core systems stay the source of truth.
- One process at a time
- Your systems stay
- Run from inside
Operations
We run them with you, day to day.
Knowledge
What your people know, written down and searchable.
Work we do
Maintenance in a manufacturing plant
Equipment, plans and work done, on the team's phones. We run it with them.
Field work for a services company
Forms, sign-offs and a staff portal on Android; their clients get the reports.
Reports from the data they already have
Exports from their core system, turned into the reports management reads every month.
How we start
With one process, through the manager who owns the problem. No transformation program.
One process
Where the problem is, not a plan for the whole company.
The manager who owns it
Through the person with the problem, alongside the people who do the work.
No transformation program
When that process runs on its own, we take the next one.
AI, with judgment
Deployed into a capable system, it accelerates. Deployed into an incapable one, it scales the incapacity.
AI amplifies what it finds.
Customer support agents with AI resolved 14% more issues per hour; the least experienced, 34% more.
Source: Brynjolfsson, Li & Raymond, Generative AI at Work, NBER w31161
Gains show up later than spending.
The productivity J-curve: the payoff comes after the reorganization, not with the purchase.
Source: Brynjolfsson, Rock & Syverson, The Productivity J-Curve, NBER w25148
And the other side.
Executives report AI has added about 0.2% a year to labor productivity so far, and expect 0.6% a year next. Big claims deserve a baseline.
Source: Firm Data on AI, NBER w34836
Two ways to work
Monthly operation
We run what we agreed on from inside, as if we were on your team.
Doesn't include: New builds outside the agreed scope.
Custom development, by the hour
Whatever falls outside the operation's scope.
Doesn't include: Maintenance afterward: it goes into the operation, or is billed apart.
What should technology be amplifying in your organization?
Tell us about one process and who owns it. We'll take it from there.
Or email ushello@workbigly.com