Tiller
By Richard Rost
73 minutes ago
Why Tiller Did Not Fit My Microsoft Access Workflow
In today's Captain's Log, I discuss my eight-month experience using Tiller to import financial data into a Microsoft Access database. We'll cover the difficulties with add-in sign-ins, account reconnections, stale balances, and the lack of a public API, along with why the Excel workflow did not save enough time for my daily financial tracking routine.
Automation is only useful when it actually reduces the amount of work you have to do. If an automated system repeatedly asks you to sign in, reconnect accounts, respond to security prompts, fix errors, or verify outdated information, it can become more time-consuming than simply doing the task manually.
This is especially important when working with financial data. A common goal is to bring bank account, credit card, and investment information into a Microsoft Access database so you can track balances, transactions, upcoming bills, and recent activity in one place. A spreadsheet service such as Tiller can appear to be a good solution because it gathers data from supported financial institutions and places it into Microsoft Excel or Google Sheets. From there, you can import the information into Access.
The importing portion is usually straightforward. Access can read spreadsheet data, append new transactions to tables, and update account balances. You can build buttons or routines that open the spreadsheet, read the latest rows, match accounts, avoid duplicate transactions, and store everything in your database. The difficult part is making sure the spreadsheet always contains current, reliable data before Access imports it.
A spreadsheet-based financial aggregation service may require frequent manual interaction. The Excel add-in may not load properly, may require a new sign-in after the workbook has been closed for a while, or may trigger authentication prompts through your Google account. You may also need to reconnect individual financial accounts regularly. This can involve signing into the institution, completing a security challenge, receiving a text message, or approving a multi-factor authentication request.
Those steps are understandable from a security perspective. Financial institutions need to protect accounts, and data aggregation services must follow the security rules imposed by banks and their data providers. However, even when there is a valid reason for the interruption, the practical result is still the same: the workflow is no longer hands-off.
You can attempt to automate portions of the process. For example, an Access routine could open Excel, load the workbook, wait for the add-in, and then import data once the spreadsheet has been refreshed. In some cases, people use keyboard automation or screen-reading techniques to interact with software that does not provide a proper automation interface. The code would need to launch the spreadsheet, detect whether the add-in is available, recognize sign-in or error screens, wait for updates to complete, and then import the resulting data into Access.
That approach can work for limited tasks, but it is fragile. Screen layouts change, sign-in prompts appear unexpectedly, network delays vary, and a security prompt can stop the entire process. If the routine requires you to sit nearby and rescue it every few days, it is not truly saving time.
Freshness of the data is just as important as the ability to retrieve it. If you check your finances daily, a balance that is several days old may not be useful. You should not have to visit the financial institution's website just to confirm whether the imported balance is current. Once you have manually checked the bank's website, much of the benefit of the aggregation service has already disappeared.
Before adopting a financial automation tool, define exactly what you need it to do. If your goal is occasional budgeting, expense categorization, or long-term reporting, a spreadsheet-based service may work well even if updates are delayed or require occasional maintenance. If your goal is a daily operational dashboard with current balances and transactions, reliability and update frequency matter much more.
The ideal solution for an Access database would be a supported, secure API that allows your database to request account data directly. A proper API would let your code authenticate through an approved method, retrieve transactions and balances in a structured format, identify updated records, and store the results in Access without opening a spreadsheet or controlling an add-in interface. Unfortunately, not every financial aggregation service offers a general-purpose public API for individual database projects.
Google Sheets may offer a different workflow because some services can fill a sheet automatically. That can reduce the need to open an Excel add-in manually. However, it still creates another integration layer. You would need a dependable method for getting data from Google Sheets into Access, verifying that it has updated successfully, and handling failures. That may be worthwhile for some users, but it is still more complex than a direct database connection.
A practical alternative is to keep the process simple. If you already visit your primary financial institution websites once or twice a week, it may be faster to collect the information directly from those sites and then import or enter it into Access. You might use light automation to copy transaction text or account balances from a webpage, then use a tool to standardize the data into a format your database can import. The important part is that you remain in control of the process and can quickly see whether the information is current.
For year-end accounting, tax preparation, reconciliation, and recordkeeping, it is still wise to download official statements and transaction files directly from each financial institution. An aggregation service can be useful for daily convenience, but it should not necessarily replace your official financial records.
The main lesson is simple: measure automation by the time it actually saves. A tool may have impressive features, but if it regularly requires reconnecting accounts, resolving login prompts, repairing broken add-ins, and verifying stale balances, it may not be the right tool for your workflow. Sometimes a smaller, more direct process is more reliable and less frustrating than a sophisticated system that requires constant attention.
Keywords
Captain's Log, Tiller Money review, Tiller Excel add-in, Tiller account reconnection, Tiller stale balances, Tiller API, financial data import, Excel to Access import, bank transaction automation, financial account aggregation, Google Sheets direct fill
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More InformationTranscript What happens when the automation you pay for needs so much babysitting that it stops saving you time?
I wanted a dependable way to feed financial data into my Access database, and here's what happened when I tried Tiller.
Welcome to another Captain's Log brought to you by Computer Learning Zone. I'm your instructor, Richard Rost.
For this Captain's Log, I want to talk about a service that I really wanted to like. I've always wanted a nice, easy way to get my financial data into my Microsoft Access database. Connect my accounts, click a button, and bring in the latest transactions and balances. That was the goal when I discovered Tiller.
After about eight months of using it from February through October of this year, 2026, I've decided it takes too much babysitting for the way I work.
I was genuinely excited at first. Tiller brings financial data from supported bank, credit card, and investment accounts into a spreadsheet. Instead of visiting a bunch of websites and collecting everything separately, I could have the data gathered in one place.
My Access database already handles most of what I need. I mainly wanted a dependable way to feed it.
I built my account balance database because I like knowing where things stand. I check my finances almost daily. I want to see balances, what's pending, what's coming up, and the transactions since my last check. That's my desired goal.
Most days, I spend about 15-20 minutes going through three or four main accounts where most of my transactions happen. There are some other accounts and credit cards with occasional activity, too. If I could eliminate even five or ten minutes of that routine, I'd be happy to pay for it.
My plan was to use Excel as a staging area, then import that data into Access. I hooked that up into my account balance database, and initially, it worked well enough that I thought I might even make a video about it.
I even signed up as a Tiller affiliate. But since I never recommend something to you guys unless I love it myself, I wanted to spend several months using it before recommending it to you guys, and I'm glad I waited.
The problem wasn't importing rows from Excel into Access. That part's easy. That's familiar territory. The trouble was reliably getting fresh data into Excel from Tiller without having to stop and deal with their add-in.
I built an Open Tiller Sheet button that launched Excel and opened the Tiller add-in. I used Excel automation, macros, and, yes, even some SendKeys to move around their interface. I even programmed a little OCR because sometimes you have to look at what they put on the screen in order to know how to deal with it.
They don't offer any way to automate their add-in, and yes, I could automate parts of it by going around and about, but what I couldn't get was a dependable, hands-off routine from beginning to end.
Sometimes, their add-in didn't load correctly. Other times, it wanted me to sign in again. Mondays were especially annoying after I hadn't used it over the weekend. I'd click my button, expecting an update, and end up dealing with yet another Google authentication prompt.
Tiller's own Excel documentation says you may need to sign in again after the workbook has been closed for a while. Yeah, that's an understatement. And that helps explain the behavior, but it doesn't make for a good fit for the workflow that I wanted.
And then there were the endless account reconnections. I had roughly 13 accounts set up, and in a typical week, I'd have to reconnect two or three of them. Open the connection, sign in, answer whatever security prompt appears, wait, try again, answer an SMS, do the Google authentication again.
That's a lot of intervention for something I bought to reduce intervention.
Now, I understand that banks have security requirements. I get that. Tiller also depends on its data providers and the financial institutions involved. And I'm not asking anyone to weaken security.
I can't tell you which company caused every interruption, but I can tell you what the experience was like from my desk, and it was frustrating.
Plus, the stale balances bothered me more than the extra logins. I had accounts where I knew I paid the balance off days ago. The institution's own website showed a zero balance, but Tiller was still showing the old information. Some of those balances hadn't updated for four or five days.
And when I'm checking daily, that's just not good enough. I shouldn't have to wait or have to visit the bank's website to find out whether the number that I just imported is current. Once I'm already there checking it, much of that time-saving benefit from Tiller has disappeared.
I couldn't consistently rely on the information being fresh when I needed it.
Now, I still download my statements directly from the institutions for my year-end accounting and tax preparation. Tiller wasn't replacing that job. It was just supposed to make my daily routine shorter for my routine checking of my balances and transactions.
Now, what I really want is a supported API, a secure way for my database to request my data directly without opening a spreadsheet and driving an add-in interface and trying to program some automation and all that stuff.
In fact, Tiller did a webinar in July of 2026, and the company said it didn't offer a general-purpose public API for pulling data into your own tools. And that is the kind of access that I'm looking for.
And yes, Tiller also supports Google Sheets, including direct fills that can populate a sheet automatically. That's a different workflow from the Excel one that I tested. And I'm not dismissing it.
But I don't want yet another integration project just to get the data into Access. I could explore ways to bridge a Google Sheet into my database, but I'd rather have a supported route designed just for that job.
And of course, when I went to cancel, like every other service out there, they offered me a discount to stay. A discount doesn't solve this for me. I would pay more for something that reliably did what I wanted.
I'm paying to eliminate work, not babysit another system.
For me personally, after eight months of setup workarounds, reconnecting accounts, and all that, I think it's probably cost me more time than it saved. I've decided not to keep paying for it, and I'm glad I held off recommending it to other Access users until I'd lived with it for a while.
I wish it had worked better for my situation. I liked the idea, and I still want that easy connection between my financial data and my database.
For now, grabbing the transactions from the sites I already visit is less frustrating than maintaining extra systems that were supposed to save me those visits.
I've actually worked up a pretty easy solution where I'm visiting these pages once or twice a week anyway. I use a little bit of automation and some SendKeys to grab the text off the page. Then I have AI format it for me because every financial institution is different.
If you guys want to see a video on how I did that, post a comment down below.
If you guys want to check out my Account Balances Database, I've got a multi-part TechHelp series on how I built it, and it's free and it's on my website. There you go. There's the link. I'll put a link down below that you can click on.
It doesn't offer Tiller automation, but it's pretty good if you like to check your balances on a regular basis.
For me, automation should save time in my workflow, not add to it, and if maintaining it becomes another chore, that defeats the point.
All right, if you'd like more stories about computers, technology, science, and whatever else gets my brain going, check out my Captain's Log. You can visit my website, my YouTube channel, or scan that QR code on the screen.
As always, thanks for watching, and live long and prosper. Intro In today's Captain's Log, I discuss my eight-month experience using Tiller to import financial data into a Microsoft Access database. We'll cover the difficulties with add-in sign-ins, account reconnections, stale balances, and the lack of a public API, along with why the Excel workflow did not save enough time for my daily financial tracking routine. Quiz No quiz available. Summary In this Captain's Log, I explain why I decided to stop using Tiller after about eight months.
I wanted a reliable way to bring financial information from my bank accounts, credit cards, and investment accounts into my Microsoft Access database. My ideal setup was simple: connect the accounts, retrieve the latest balances and transactions, and import that information into Access with minimal effort.
Tiller seemed like it might provide that solution. It gathers data from supported financial institutions and sends it to a spreadsheet, either Microsoft Excel or Google Sheets. Since I already maintain an Account Balances Database in Access, I planned to use Excel as a staging area and then import the updated data into my database.
At first, I was optimistic. Importing spreadsheet data into Access is straightforward, and I built automation to open the Tiller workbook and work with the Tiller add-in. I used Excel automation, macros, SendKeys, and even a little OCR to deal with parts of the add-in interface that could not be controlled directly.
The real problem was not getting data from Excel into Access. The problem was getting current data into Excel reliably without having to intervene constantly.
Tiller does not provide a supported method for automating its Excel add-in. I could automate portions of the process, but I could not create a dependable hands-off routine from start to finish. Sometimes the add-in did not load correctly. Sometimes it required me to sign in again. After the workbook had been closed for a while, especially after a weekend, I often had to deal with another Google authentication prompt before I could update the spreadsheet.
Tiller's own documentation explains that users may need to sign in again after the workbook has been closed for some time. That may explain the behavior, but it does not make the service a good fit for the workflow I wanted.
The account reconnection issues were another major problem. I had roughly 13 accounts connected. During a typical week, two or three of those accounts would need to be reconnected. That meant opening the connection, signing into the financial institution, answering security prompts, dealing with text-message verification, and sometimes authenticating through Google again.
I understand that financial institutions have legitimate security requirements. Tiller also depends on third-party data providers and the banks themselves. I am not suggesting that anyone should reduce security protections. However, from my perspective as the customer, the result was too much maintenance for a service that I was paying to reduce maintenance.
The bigger issue for me was stale information. There were times when I knew I had paid off a balance several days earlier, and the financial institution's own website showed a zero balance. Tiller, however, continued showing the old balance. In some cases, balances had not updated for four or five days.
I check my financial information almost every day. I want to see current balances, pending charges, upcoming activity, and transactions since my last review. If I have to visit the bank's website anyway to verify whether Tiller's information is accurate, then much of the time-saving benefit is gone.
I still download statements directly from the financial institutions for year-end accounting and tax preparation. Tiller was never meant to replace that process. It was only supposed to make my day-to-day balance and transaction checks faster. Unfortunately, it did not do that consistently enough.
What I would really like is a supported API that allows my database to securely request financial data directly. I do not want to open a spreadsheet, launch an add-in, work around interface limitations, and maintain automation just to retrieve account information.
Tiller stated during a webinar in July 2026 that it does not offer a general-purpose public API for retrieving financial data into your own tools. That is exactly the type of feature I need.
Tiller also supports Google Sheets, including automatic direct fills that can populate a spreadsheet. That is a different workflow from the Excel setup I tested, and I am not dismissing it. However, I do not want to build another integration project just to move data from Google Sheets into Access. I would prefer a supported connection designed specifically for getting financial data into my database.
When I went to cancel, I was offered a discount to remain subscribed. But a lower price would not solve the problem. I would be willing to pay more for a service that reliably saved me time. I am paying for automation to eliminate work, not to create another system that requires regular babysitting.
After eight months of setup, workarounds, repeated account reconnections, outdated balances, and authentication prompts, I concluded that Tiller was costing me more time than it was saving. I am glad I waited before recommending it to other Access users.
For now, I have found a simpler approach. Since I visit the financial institution websites once or twice a week anyway, I use a small amount of automation and SendKeys to capture the relevant page text. I then use AI to help format the information because each financial institution presents its data differently.
My Account Balances Database does not provide Tiller automation, but it is still useful for anyone who likes to monitor balances, transactions, pending charges, and other daily financial activity in Microsoft Access.
The lesson here is simple: automation should save time in your particular workflow. If maintaining the automation becomes another regular chore, then it defeats the purpose.
You can find a complete video tutorial with step-by-step instructions on everything discussed here on my website at the link below. Live long and prosper, my friends. Topic List A Captain's Log commentary on why Tiller's Excel-based financial-data workflow required too much manual maintenance to save time. Article Automation is only useful when it actually reduces the amount of work you have to do. If an automated system repeatedly asks you to sign in, reconnect accounts, respond to security prompts, fix errors, or verify outdated information, it can become more time-consuming than simply doing the task manually.
This is especially important when working with financial data. A common goal is to bring bank account, credit card, and investment information into a Microsoft Access database so you can track balances, transactions, upcoming bills, and recent activity in one place. A spreadsheet service such as Tiller can appear to be a good solution because it gathers data from supported financial institutions and places it into Microsoft Excel or Google Sheets. From there, you can import the information into Access.
The importing portion is usually straightforward. Access can read spreadsheet data, append new transactions to tables, and update account balances. You can build buttons or routines that open the spreadsheet, read the latest rows, match accounts, avoid duplicate transactions, and store everything in your database. The difficult part is making sure the spreadsheet always contains current, reliable data before Access imports it.
A spreadsheet-based financial aggregation service may require frequent manual interaction. The Excel add-in may not load properly, may require a new sign-in after the workbook has been closed for a while, or may trigger authentication prompts through your Google account. You may also need to reconnect individual financial accounts regularly. This can involve signing into the institution, completing a security challenge, receiving a text message, or approving a multi-factor authentication request.
Those steps are understandable from a security perspective. Financial institutions need to protect accounts, and data aggregation services must follow the security rules imposed by banks and their data providers. However, even when there is a valid reason for the interruption, the practical result is still the same: the workflow is no longer hands-off.
You can attempt to automate portions of the process. For example, an Access routine could open Excel, load the workbook, wait for the add-in, and then import data once the spreadsheet has been refreshed. In some cases, people use keyboard automation or screen-reading techniques to interact with software that does not provide a proper automation interface. The code would need to launch the spreadsheet, detect whether the add-in is available, recognize sign-in or error screens, wait for updates to complete, and then import the resulting data into Access.
That approach can work for limited tasks, but it is fragile. Screen layouts change, sign-in prompts appear unexpectedly, network delays vary, and a security prompt can stop the entire process. If the routine requires you to sit nearby and rescue it every few days, it is not truly saving time.
Freshness of the data is just as important as the ability to retrieve it. If you check your finances daily, a balance that is several days old may not be useful. You should not have to visit the financial institution's website just to confirm whether the imported balance is current. Once you have manually checked the bank's website, much of the benefit of the aggregation service has already disappeared.
Before adopting a financial automation tool, define exactly what you need it to do. If your goal is occasional budgeting, expense categorization, or long-term reporting, a spreadsheet-based service may work well even if updates are delayed or require occasional maintenance. If your goal is a daily operational dashboard with current balances and transactions, reliability and update frequency matter much more.
The ideal solution for an Access database would be a supported, secure API that allows your database to request account data directly. A proper API would let your code authenticate through an approved method, retrieve transactions and balances in a structured format, identify updated records, and store the results in Access without opening a spreadsheet or controlling an add-in interface. Unfortunately, not every financial aggregation service offers a general-purpose public API for individual database projects.
Google Sheets may offer a different workflow because some services can fill a sheet automatically. That can reduce the need to open an Excel add-in manually. However, it still creates another integration layer. You would need a dependable method for getting data from Google Sheets into Access, verifying that it has updated successfully, and handling failures. That may be worthwhile for some users, but it is still more complex than a direct database connection.
A practical alternative is to keep the process simple. If you already visit your primary financial institution websites once or twice a week, it may be faster to collect the information directly from those sites and then import or enter it into Access. You might use light automation to copy transaction text or account balances from a webpage, then use a tool to standardize the data into a format your database can import. The important part is that you remain in control of the process and can quickly see whether the information is current.
For year-end accounting, tax preparation, reconciliation, and recordkeeping, it is still wise to download official statements and transaction files directly from each financial institution. An aggregation service can be useful for daily convenience, but it should not necessarily replace your official financial records.
The main lesson is simple: measure automation by the time it actually saves. A tool may have impressive features, but if it regularly requires reconnecting accounts, resolving login prompts, repairing broken add-ins, and verifying stale balances, it may not be the right tool for your workflow. Sometimes a smaller, more direct process is more reliable and less frustrating than a sophisticated system that requires constant attention. Primary Topics Tiller financial-data service, importing financial data into Access, Excel staging workflow, add-in automation limitations, repeated authentication, bank account reconnections, stale account balances, automation cost versus time saved Secondary Topics Google Sheets direct fills, public API availability, financial institution security prompts, direct website data collection, AI-assisted text formatting |
