BlockTXM Inc

BlockTXM Inc We believe that by utilizing hybrid DAOs , AI, and the Metaverse, we can create revolutionary experiences for our talent and clients alike.

Our vision is to becoming a leading web 3.0 IT Services and IT Staffing company

Something is changing at TalentXM!Not the team. Not the work. Not the promise.How we show up.November 9.  Save the date.
10/30/2026

Something is changing at TalentXM!

Not the team. Not the work. Not the promise.
How we show up.

November 9. Save the date.

10/23/2026

Three things that break a healthcare integration, none of them the integration.

A downstream system nobody documented, still reading the old feed. Message volumes measured on a Tuesday and never on a Monday morning. And a rollback plan that has never actually been run.

All three are findable in week one if someone looks. All three are found at two in the morning if nobody does.

Follow for the rest of the series

Workato

10/20/2026

We usually propose less than the client asked for. Here is why.

One line for eight weeks gives you a real number. Plant wide for a year gives you a steering committee and a status report.

One line also fails cheaply. If the data is not there, or the operators route around it, you find out for the cost of a pilot rather than a programme.

The number from one line is what funds the rest. It is a slower first sentence and a faster second year.

Book a scoping conversation.



Workato

10/19/2026

Your year-end change freeze doesn’t have to put January on hold.

Finish what has to go out before the freeze. Prepare what policy allows. Schedule the rest for January, with an owner and a start date.

Prepare in December. Start strong in January.

Freeze the changes, not the progress.

10/14/2026

OEE is three numbers. Most plants measure two of them properly.

Availability has a live board. Performance has a live board. Quality has a spreadsheet somebody updates on Friday from memory.

So the improvement work goes where the data is rather than where the loss is. In a lot of plants the biggest recoverable number is the one on the spreadsheet.

Instrument quality first. It usually changes what you work on next.



Workato

10/13/2026

The riskiest moment in an AI project isn't the build.

It's the Tuesday three weeks after the build team left. Something behaves unexpectedly, and the person who understands why is no longer on the account.

Almost nobody budgets for that Tuesday. It gets called knowledge transfer, squeezed into the last two days, and delivered as a slide deck nobody opens.

A handover that works looks different. The receiving team runs the system in production while the build team is still there. Not a walkthrough. Custody, with the previous owner in the room.

If an engagement ends and your team can't operate what was built, the job was done badly, however well it performs.

A vision system is good at consistent. Humans are good at unfamiliar.Automate passes and rejections when validated crite...
10/13/2026

A vision system is good at consistent. Humans are good at unfamiliar.

Automate passes and rejections when validated criteria are met. Route borderline results, unfamiliar features, and insufficient evidence to an inspector with the flagged image and reason for review attached.

The mistake is chasing a higher automation rate. That can push uncertain parts into automatic decisions, when those are exactly the parts worth a closer look.

The inspector owns that decision. They are not the fallback.

Measure defect escapes, not just automation. Track escapes per thousand units against your current baseline.

Swipe through to see where to draw the line. ➡️
Follow the build series for more on physical AI on the plant floor.

Workato

Three ways to control access to clinical data, and when each is right.By role, which is simple and gets coarse fast. By ...
10/12/2026

Three ways to control access to clinical data, and when each is right.

By role, which is simple and gets coarse fast. By relationship, which is what care teams actually need, because a nurse should see their patients and not every patient. By purpose, which is what research and analytics need, and which is the one most systems handle worst.

Most health systems run the first, need the second, and get asked for the third at audit.

These are the patterns we apply across clinical data pipelines, including the ones we build with Workato

10/07/2026

Predictive maintenance projects rarely fail because the model is weak. They fail because the failure history is three years of free text that says bearing again, and because the sensors were sampled every five minutes for a monitoring dashboard rather than every second for prediction.

The model needs examples of the failure. If nobody recorded them in a consistent form, there is nothing to learn from, however good the algorithm is.

Start with one asset class and six months of honest logging. That is a cheaper way to find out whether the signal exists at all.


Workato

Five questions worth asking any automation vendor before signing. Including us.Who owns the integration code when this e...
10/05/2026

Five questions worth asking any automation vendor before signing. Including us.

Who owns the integration code when this ends. What happens to the field mappings. How is a change request priced after go live. Who is reachable in the week between Christmas and New Year. And what do you need from us that is not written in the statement of work.

The last one catches more projects than the other four combined.

Address

3400 Cottage Way, Ste G2 #8399
Columbus, OH
95825

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Tuesday 8am - 6pm
Wednesday 8am - 6pm
Thursday 8am - 6pm
Friday 8am - 6pm

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+16172036860

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