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Every other AIwaits to be asked.AUGMTD gets ahead of work.
It catches what was promised, what is due, and what still needs a reply. Then it finds the background and gets the next step ready for you.
Your day goes to reconnecting dots that should never have come apart.
Every tool holds one piece. Someone still has to rebuild the picture and decide what happens next.
New work arrives. AUGMTD starts putting it together.
A message, meeting, deadline, or schedule can start the process.
AUGMTDunderstands · preparesThe inbox, meetings, files, and recurring work share the same context.
Each part of the product can use the work that came before it, within the sources and permissions you choose.
Give recurring work to a coworker.



Start from a trigger or a schedule.
CONTEXT
Keep the context together.
Review important work before it goes out.
Use the tools you already have.
One place to see the work, its context, and the next move.
Choose a view to see how each part of AUGMTD handles the same connected work.

What customers used AUGMTD to do.
AI USE-CASE DISCOVERYSCB turned employee-described work into a structured AI opportunity map.
Seventy-five employees described their daily work. AUGMTD structured the result into workflows, recurring patterns, and candidates for AI-supported work. The study measured scope, not deployed savings.
Read the SCB field studyA regulated bank defined an approved route for sensitive AI work.
The engagement set out which sources could be used, how processing would work, and where a person remained responsible.
Read the private AI field studyA chamber of commerce is turning market signals into work its team can use.
One workflow prepares sourced leadership briefings. Another turns public tenders into reviewed member matches, so staff can start with prepared work.
Read the chamber field noteSet the boundary before AUGMTD starts work.
Hosting, model providers, connected sources, and approval rules are defined for each deployment.
Choose an EU setup
Eligible deployments can use EU application and selected model regions. The complete provider and integration path is agreed for each setup.
Controls for personal data
Users can manage connected accounts and request access, correction, or deletion. Retention and processor terms depend on the deployment.
Define where models run
Selected deployments can route model work through AWS Bedrock or a customer-specified compatible endpoint. The processing path is defined for the deployment.
Start with the work people already have to chase.
Show us one workflow that depends on searching, copying, reminding, or following up.