Show us the broken workflow. We will fix it with AI, automation or both.
A focused assessment of the one workflow costing your team time, money or control. We find where the work actually breaks, then define the right fix before anyone builds the wrong thing.
What is most complained about
What is actually broken
This is for a workflow that has already become a business problem.
If the workflow is merely annoying rather than costly, this is the wrong starting point. The assessment is built around a failure you can already point at.
Customer response is slow
Requests sit in a queue, or between two queues, and the delay is now something customers mention.
The same manual work returns every week
Someone re-keys, re-checks or re-sends the same information, and the volume grows with the business.
Systems do not talk to each other
Information is complete in two places and reconciled by a person in the middle.
The same errors keep coming back
Not one bad day, but a class of mistake the process reliably produces.
One real workflow. Not a department, and not the whole company.
We look at one workflow that is slow, manual or repeatedly handed back. Keeping it to one is the point: a broad review produces a document, one workflow produces a decision.
Where work stops, repeats or falls between teams.
What is actually broken, rather than what is most complained about.
The people, systems and information involved.
What the fix has to connect to, and where human control needs to stay.
The business impact of the failure.
What should be fixed first, and how you will know it worked.
Four things, and none of them is a document written for us.
You do not need to prepare a brief, map the process in advance, or have a solution in mind. If you already knew the fix, you would not need the assessment.
The workflow itself, as it really runs
Including the workarounds. The workarounds are usually the most honest description of a process in the building.
The people who actually do the work
Not only the person who owns it. The gap between how a process is described and how it is performed is normally where the problem lives.
Whatever you already measure
Volumes, delays, error counts, ticket counts. If none of it exists, say so; that is itself a finding.
What you have already tried
Including the thing that did not work. It saves us proposing it again.
Three things, in plain terms.
Most processes have several breaks and one that matters.
A clear picture of the broken workflow and its failure points
Where the work stops, and which of those stops actually costs you something.
The first fix worth making, using AI, automation or both
One fix, named, with the reason it comes first. Not a ranked list of everything conceivable.
A practical build path
The systems it has to touch, the measure that will tell you it worked, and where human control stays in the loop.
Two outcomes, and we are equally willing to reach either.
What this is not: a generic AI pitch or a promise that every workflow needs AI. If the problem is a product or staffing decision, that is what we will tell you.
There is a fix worth building
Viithiisys scopes and delivers it with the same senior people who did the assessment. You are not handed to a different team once the work is won.
There is not
We say so. That is a real outcome of this process, not a polite formula. A workflow that is working acceptably does not need AI put through it.
Because the expensive mistake is building the right thing in the wrong place.
Most automation fails quietly. The build is competent, it goes live, and nothing changes, because it was applied to the easiest task rather than the costly handoff.
Buying a service first assumes you know the diagnosis
If you already know the fix is document processing, go straight to it. Most teams are less certain than that, and the uncertainty is reasonable.
Automating the wrong step makes things worse
It adds a system to maintain without removing the delay, and it spends the credibility you needed for the next attempt.
The fix is often smaller than expected
A single handoff, not a platform. That is a good outcome and a cheap one, but only if you look before you build.
If you would rather look at what we build, the services pages set out the work directly.
Or see what we buildQuestions we are actually asked
Pick a topic, or ask us directly. We answer every inbound within one business day.
Still have questions?
Talk to a senior engineer, not a bot.
Show us what is broken.
Tell us which workflow is costing you time, money or control. If it is the right thing to assess we will say so, and if the problem is elsewhere we will say that.