Summary
- A document store keeps files. It does not run work - SharePoint, Google Drive, and any DMS are built for storage, versioning, permissions, and governance. None of that answers who does the next step, by when, or who is on the hook when it slips.
- Why do automations bolted onto SharePoint keep breaking? Because the folder is the wrong host for a process. Microsoft retired SharePoint 2010 workflows in November 2020 and SharePoint 2013 workflows fully retire on April 2, 2026, which is the platform itself telling you to move the logic out.
- The durable pattern is two layers, connected - files stay in the DMS, the process runs in a real workflow layer, and AI cleans up years of document sprawl so the link between them is sane. See how Tallyfy handles this
Tallyfy is the only product available that does Process Documentation and Process Tracking in one
Open SharePoint and ask it a simple question. Where is the contract right now, and who is supposed to sign it by Friday?
It can’t answer. It’ll show you a file, three older versions of that file, and a “modified by” timestamp. What it won’t show you is the state of the work. That gap is the whole subject of this post, and most teams don’t notice it until a deal slips through it.
Here’s the confusion at the root.
A document management system is where files live. A workflow engine is where work runs. Those are two separate machines doing two separate jobs, and almost every operations team we talk to has quietly fused them in their head into one. The fusion feels efficient, and it’s the source of an astonishing amount of grief.
What the folder was actually built to do
A document management system is built for storage, versioning, permissions, retention, and governance. That’s its job, and the good ones do it brilliantly. SharePoint will hold a billion files, keep every revision, lock down who sees what, apply a retention label, and survive an audit. Google Drive does the lighter version of the same thing. You want a proper home for documents, with real access control and a full history, and these tools are excellent at exactly that.
None of this is a knock.
What none of them do is tell you the state of a piece of work. A library knows a file exists. It doesn’t know that the file is “the renewal that legal hasn’t reviewed and the customer is waiting on.” The first is a fact about a stored object. The second is a fact about a process, and processes are made of people, order, deadlines, and accountability.
Files just sit there, patient as stones.
We learned this distinction the slow way. One operations lead we worked with had years of SharePoint behind them: dozens of sites, libraries nobody had opened since two reorgs ago, and the same policy living in four places under five different names. The mess wasn’t the actual problem. The actual problem was that they kept trying to run the work out of those folders, and the folder kept refusing to behave like a process.
Which brings us to the part where it breaks.
Why do your Power Automate flows keep dying?
The telling symptom sounds like this: an automation that worked for months “just stops,” and nobody on the team changed a thing. We’ve heard that exact sentence more than once. The user isn’t lying, and the flow didn’t get sabotaged. The automation broke because it was stapled to a document store that was never meant to host it, and the host shifted underneath it.
That same operations lead had Power Automate jobs doing metadata tagging across the sprawl, and the jobs kept timing out at scale. Nothing “changed” on their side. The library just grew, an API throttled, a column got renamed in one of the four copies, and the flow that depended on all of it quietly fell over. When your process logic is a thin layer glued to the side of your filing cabinet, every change to the filing cabinet is a chance for the process to die. And filing cabinets change constantly.
This isn’t a Microsoft failure, by the way. It’s a category error, and Microsoft has been signaling it for years. The dates are on the record. SharePoint 2010 workflows were retired in November 2020. SharePoint 2013 workflows were deprecated since April 2023, turned off for new tenants in April 2024, and on the same Microsoft page, “removed from existing tenants and will be fully retired as of April 2, 2026.” Microsoft’s own guidance is to migrate that logic out to Power Automate. Read that as the platform admitting the document tool was the wrong place to run the process all along.
But moving from one bolted-on engine to another bolted-on engine inherits the same gravity. Power Automate is a capable tool, and for a lot of jobs it is the right answer inside the Microsoft estate. It also ships with limits that bite the moment you treat it as your operations backbone. Microsoft’s migration guide is refreshingly blunt about them: flows have a 30-day run limit where classic workflows could run endlessly, reusable “master” flows can need a Premium license, and the run history only sticks around for 28 days unless you build your own logging into a list. All of it is the sound of a process being asked to live somewhere it does not fit, and the workarounds are how you hear it.
None of that is fatal on its own.
Storage and process are two layers, so treat them that way
The fix is not to pick a better folder. It is to stop asking the folder to be a process at all. Keep the files where files belong, run the work where work belongs, and connect the two on purpose.
In practice that means the DMS stays your system of record for documents. SharePoint, Google Drive, a dedicated DMS, whatever you already trust for storage and access and retention, keep it. Then the process layer becomes a separate thing whose entire job is to track who does what, in what order, by when, and who’s accountable when a step runs late. That layer routes a step to a person, waits for them, escalates if they go quiet, and shows everyone the live status. A folder can’t do any of that. It shouldn’t have to.
What surprised us when we dug into how this plays out: the connection between the two sides is the easy part once you stop conflating them. A workflow step can hold a file-request link, so a guest drops a signed PDF straight into the right library with no login and no “which folder again” email. An API call can move a document from the running process into the DMS the moment a step completes, so the record of work and the record of the file stay in sync without anyone copying anything by hand. The work runs in the process layer with live status for everyone, the file lands in the store, and neither tool is pretending to be the other. This is roughly how we built Tallyfy, and it’s why the process doesn’t collapse every time the document library has a bad day.
How does this work when your SharePoint is already a swamp? Fair question, and it is where the AI part earns its keep.
AI cleans the sprawl. It does not justify the folder
This is the corner where we have to correct ourselves, because the easy version of this argument is wrong. The tempting pitch in 2026 is that AI finally makes the document-folder-as-operations-platform work: point a model at your SharePoint, let it auto-tag everything, and the chaos sorts itself. Half of that is true. The conclusion doesn’t follow.
AI is brilliant at the cleanup. Years of document sprawl, duplicate libraries, six revisions of one policy under different names, the metadata nobody ever filled in: a model can read all of it, deduplicate it, classify it, and propose a single clean library faster than any human team could grind through it. That operations lead wanted exactly one tidy library and a safe place to actually run the process, and the “one tidy library” half is now a tractable problem.
AI is the best cleaning crew document management has ever had.
But a clean folder is still a folder. A perfectly organized, AI-tagged, deduplicated SharePoint with one canonical copy of every document is a better library, not a process engine. It still can’t tell you the renewal is stuck on legal. We got this wrong at first ourselves, assuming better organization would reduce the demand for a process layer.
It does the opposite. Once the documents are clean, the gap where the work should be tracked is suddenly obvious, because the mess was hiding it. AI cleans the sprawl, sure. The sprawl was never the reason to run operations out of a folder tree, though, and tidying it doesn’t make the folder a good place to run them.
A spotless filing cabinet is still a filing cabinet.
There’s a second, better use of AI here, and it lives in the process layer, not the document store. Once a process is defined as concrete steps with named owners, an AI agent can run the boring steps one task at a time against a live interface, and you can automate the routing and escalations with plain if-this-then-that rules instead of hand-coded flows. That only works because there’s a defined process for the AI to follow. Take that away and the smartest model in the world has nowhere to put its hands.
An agent pointed at a folder has nothing to act on. An agent pointed at a tracked workflow has a map.
AI amplifies whatever process it’s given, so the move is to give it a good one, not a tidier pile of files.
So the real sequence is: let AI clean the document sprawl, keep the clean files in the DMS, and put the process in a layer built to run it. If you want the how-to companions to this argument, we’ve written up the practical pieces: how to document workflows that actually get used, how to convert a Word SOP into a live workflow without re-typing it, and the tool-by-tool view of Confluence versus SharePoint if storage choice is what you’re actually weighing. Each of those assumes the split this post argues for: files in the store, process in the engine.
Processes that should never have lived in a folder
One more time, because it’s the entire point. Your document management system isn’t failing you when it can’t chase a late approval. It’s doing its job, which is to hold files. The chasing, the ordering, the deadlines, the accountability, that’s a separate job for a separate tool. Storage holds the document and its history. The process engine holds the work and its status. AI keeps both clean and connected.
The teams that stop blaming the folder and start running the work somewhere built for it are the ones who stop losing things in the gap, and they tend to wonder why they waited. Keep the cabinet. Just stop expecting it to run the office.
