EMBR

We start on the floor, not in the system.

Most automation fails because it was designed from the process document, not from the work. We watch the work first, find what the workaround is covering for, and build the smallest thing people will choose over it. Then we measure again at ninety days.

Three people at desks surrounded by open drawers and stacks of reports, while dark coils weave between the cabinets holding up charts.

What do you actually do?

Three kinds of evidence, read together.

  • What people say. Conversations from the floor to the leadership team, where the work happens.
  • What people do. Days sitting beside the people doing it, watching how a job really moves.
  • What the systems show. Read-only exports, mailbox and drive patterns, the logs your software already keeps.

When the three disagree, we say so, and we report the conservative figure and the range.

What do you need from us?

Three things.

  • Read-only exports from the systems involved.
  • Your standard operating procedures, if you have them.
  • Two people on the floor who can open doors.

We don't log into your systems during a diagnostic.

What do you get?

The Findings: three to five findings, ranked, each with an estimated hours-per-week figure and its range, the cause underneath it, a build path, and an honest answer on whether AI belongs in it at all. It's written to be acted on, not filed.

Illustrative example · Order entry

Observed
Orders arrive by email and are typed into a spreadsheet, then into the operating system. Three people, every order, every day.
Evidence
Twelve orders followed end to end over two days; each touched three times before it was in the system.
Assumption
Volumes and the exception rate hold for a normal month.
Intervention
Capture at the inbox, validate required fields, route exceptions to one person.
Measure
Handling time per order, corrections per week, exception rate, and whether the inbox capture is still the way orders come in at ninety days.

Fully integrated. Built as a solution you own.

How is this different from an AI readiness assessment?

A readiness assessment asks people how ready they are. We watch the work. The retyping is a symptom; we find the gap it's covering for. Sometimes the answer is a process change and no software at all.

What happens after a build?

Every build ships with Upkeep attached, because automation dies of neglect. Ninety days after launch we take the same measurement as the baseline, the same way. The test is simple: did the spreadsheet come back?

/ How we work

What you can hold us to.

Five commitments, the same on every engagement.

  1. Fixed fee, fixed scope. You know the number before we start.
  2. We start with the systems you already run. The fix is usually the gap between them.
  3. During the diagnostic we work from exports and observation. We don't log into your systems.
  4. A person stays in the loop. The system handles the routine; your people make the calls that matter, and can see why.
  5. Sometimes the answer isn't AI. That's how you know you can trust us when it is.

Show us one process.

Describe the one that frustrates your team most: who does it, how often, what it touches. We'll reply within two working days with whether it's worth looking at and what we'd do first. No diagnostic happens from a form; this is a conversation.