Management-Support, Bookkeeping, and Accounting Teams Buried in Repetitive Work — Ease the Burden with AI: 4 Success Cases
Management-support teams' repetitive work — can this be automated too?
The management-support team is the department that holds up the backbone of company operations. But most are made up of one or a few people, so it's not easy to handle the documents and data work that pour in every month. In particular, when your time is taken up by simple but repetitive tasks, you often miss the reviews that really matter or make mistakes.
✅ You open tax invoices that come in a different format from each vendor and enter the data into the system. Because the formats vary — scans, photos, PDFs — errors easily occur during entry.
✅ Gathering materials submitted by each department and reconciling the figures to write expense-approval forms or financial reports, the whole day flies by. Completed reports are often revised several times before final approval.
✅ Inquiries like 'Where do I get an employment certificate?' or 'When does this month's salary come in?' pile up dozens of times a day. Because of these requests, it's hard to focus on important work.
✅ Checking corporate-card and account-usage records one by one and manually matching account categories. Even though it's repetitive work, the rules are tricky, so errors happen often.
But these tasks are highly simple and repetitive with clear rules, so there's great room to automate them with AI. Recently, many companies are also adopting custom AI solutions for management-support work to solve this problem.
This article introduces 4 custom AI solutions for management-support teams that real companies adopted with results, along with actual cases.
4 AI solutions for management-support teams
📄 Solution 1: Document-data auto-processing AI
Repetitive document-data entry — are you still doing it by hand?
For various reasons — 'because of processing tax invoices that come in a different format from each vendor,' 'because you have to reconcile expense-approval-form data one by one' — management-support teams have to do repetitive document-data entry.
It looks like simple work, but actually opening documents in varied formats like scans, photos, and PDFs and extracting meaningful data one by one isn't easy. Even when you think you've organized everything, if a human error occurs, you have to review from the start again right before the deadline.
What if AI extracted and refined the needed content from all these documents and entered it into your ERP automatically?
AI handles document-data entry automatically
AI learns documents that come in a different format from each vendor and automatically extracts and refines the data. Now you don't need to open tax invoices, expense-approval forms, receipts, etc. one by one and transcribe them. AI enters the needed information into the ERP automatically, and the staff member only needs to do a final check.
📝 Recognizes text even from scanned images and PDFs, removing manual work
📊 Refines and classifies data by item for standardization → improves data quality
Custom AI points
- AI learns even each company's document formats and accounting rules for tailored processing
- Integrates with your ERP to automate entry too → you can keep using your existing system
- Can handle even multilingual documents and overseas-subsidiary materials
- Consistently extracts the data you want (output) even from various document types (input)
Real DALPHA case 1: Material purchase-order data auto-processing AI
Before
Practitioners at building-material maker Company Y processed an average of 500 client order forms a day. They had to open purchase orders that came in different formats (Excel, Word, image, KakaoTalk message, etc.) and enter the data one by one into an internal program. Because the formats varied, each one took an average of 3–5 minutes, and 3 team members had to be devoted to this work all day. When a mistake occurred, they had to recheck from the start, so overtime was frequent.
After
After adopting Dalpha's document-data auto-processing AI, you just upload the various forms of material purchase orders and the AI automatically extracts and refines the predefined values. Now a single staff member only needs to review the draft in the morning, and manual-work time was cut by over 70%.
Real DALPHA case 2: Receipt/slip and other finance-data auto-processing AI
Before
Company M's finance team was spending a lot of time re-verifying various finance materials like card receipts, transaction statements, and tax invoices. When other departments entered data by hand, the finance staff had to re-inspect it — a repetitive task that took an average of 3–4 hours a day. Especially at times when materials piled up, like quarter-end, this often led to overtime.
After
After adopting Dalpha's document-data auto-processing AI, various finance materials are automatically analyzed and refined the moment they're uploaded. As a result, the staff member could handle the inspection work that used to take several hours every day with just a short review 2–3 times a week, and total time spent was cut by over 60%. Human errors also dropped sharply, improving both the accuracy and speed of material inspection.
💰 Solution 2: Account-classification automation AI
Corporate-card records — are you still classifying them one by one?
The corporate-card records and account-usage records a management-support team handles each month are not few.
Mulling over things like 'Which account category should this item go into?' or 'Did I maybe enter it wrong?' and matching them by hand one by one takes a long time and easily causes human error.
In particular, because each company's account-classification rules differ slightly, new employees find it hard to adapt, and even experienced staff burn resources on repetitive work.
What if AI automatically recommended and entered the account categories?
AI automates account-category entry
AI analyzes tax-invoice and card-record data and automatically recommends and enters the appropriate account category. Now the staff member doesn't have to apply the rules one by one. As data accumulates, the AI learns more precisely and accuracy steadily rises.
📝 Auto-analyzes card/account record data → matches account categories
📊 Learns repetitive rules so new staff can adapt quickly too
Custom AI points
- Can implement each company's different account-classification method and accounting rules in a tailored way
- Provides the classification reason for each item too → secures reliability during inspection
- Handles various input formats (image, Excel, Word, etc.) without trouble
Real DALPHA case: Account-classification automation AI
Before
Company T's finance team checked hundreds of bank-transfer records and corporate-card usage records each month, designating one by one which account category each transaction belonged to. Especially for new vendors or irregular expense slips, the purpose was hard to tell from receipt information alone — 'Is this transaction welfare expense? Entertainment expense?' — so the staff had to recall each company's classification rules and judge the account category one by one. This work was significant enough that 2 team members had to invest a large part of their day, and when human error occurred, they often had to review from the start.
After
After adopting Dalpha's account-classification automation AI, card/account records are automatically analyzed and classified the moment they're entered. In particular, even new vendors or irregular expense slips that the staff used to spend time judging are analyzed by AI from receipt and transaction information to recommend the appropriate account category. As a result, the workload that 3 staff used to handle shifted to a structure where 1 person only inspects, cutting total processing time by over 60%. Also, because results matched to each company's classification criteria and the recommendation reason for each item are provided together, the efficiency and reliability of the inspection process rose greatly.
📊 Solution 3: Report-draft auto-generation AI
Expense-approval forms, financial reports, and other reports — are you still writing and revising them every time?
'Organizing the Excel sheets downloaded from the card company and the paper receipt scans one by one, and making approval forms for each department, takes my whole day.'
Management-support teams spend a lot of time on such repetitive work every month. Classifying materials by team, reconciling figures, and making report drafts is simple but vast. Once an error occurs, you have to review from the start right before the deadline, and it's common for a written draft to be revised several times during the approval process.
What if you just uploaded the card-company Excel sheets and receipt scans by folder, and AI automatically generated each team's expense-approval form, providing usage-distribution graphs and per-team comparison analysis as well?
AI auto-generates report drafts
AI analyzes the uploaded materials, automatically generates expense-approval forms and financial reports, and completes drafts as Excel or HWP files in each company's format. It also provides usage-distribution graphs and per-department comparison charts, so it's useful for report writing and analysis work.
Custom AI points
- Upload card-company Excel sheets, receipt scans, etc. as-is → auto-generate expense-approval forms and financial reports
- When uploading by folder, reports are auto-classified by department → handled without repetitive entry
- Auto-generates usage-distribution graphs and per-department comparison materials → improves report usability
- Auto-checks even spelling and sentence flow → improves draft completeness
- Integrates with existing systems like ERP → finish the work with just a final review
Real DALPHA case 1: Internal-report auto-generation AI for expense-approval forms, trip reports, etc.
Before
Company I's management-support team wrote various internal reports — expense-approval forms, trip reports, etc. — based on source data received from each department: receipts, card statements, department-collected materials, and more. Because material formats differed by department, organizing the data by hand took a long time, and there were often days spent entirely just making tables and charts. Written drafts were routinely revised several times during the approval process, so staff couldn't avoid overtime at every deadline. In particular, the process of checking and organizing materials one by one was repetitive and error-prone.
After
After adopting Dalpha's report auto-generation AI, Company I's management-support team just needs to upload the source data (receipts, card statements, department-collected materials, etc.) required to write expense-approval forms, trip reports, and so on. Based on the uploaded materials, a report draft in each company's format is auto-generated, and key points are highlighted so approvers can review quickly. In particular, when drafting, AI automatically checks even spelling and sentence flow, so staff no longer need to fix minor document errors one by one. Thanks to this, draft completeness rose a notch, and the work can be finished with just a final review. The time spent on repetitive work and revisions was also cut by over 70%.
Real DALPHA case 2: Auto-generation AI for interim reports submitted to the government
Before
Company K's management-support team wrote interim reports for government submission based on baseline assessment data received from care managers. Because this report had to include a narrative overall opinion based on the baseline data, staff had to pour resources into reviewing huge amounts of data and organizing content. The repetitive work and human errors arising from processing up to 30,000 reports a year were also a problem.
After
After adopting Dalpha's government-submission interim-report auto-generation AI, this process was effectively shortened. The staff member only needs to upload the baseline assessment data to the report auto-generation AI. The AI learns social workers' writing rules and the report template and automatically generates a draft including the narrative overall opinion. Thanks to this, tens of thousands of documents a year can be processed far faster and more accurately.
💬 Solution 4: HR-support AI chatbot
Repetitive internal inquiries — are you still answering them yourself?
'Where do I get an employment certificate?' 'When is this month's payday?'
Management-support teams often can't focus on their main work because they're handling dozens of repetitive internal inquiries a day. Most of these questions follow simple patterns, so it costs too much time and resources for staff to respond directly.
What if AI answered these questions quickly and automatically handled the follow-up work too?
An AI chatbot auto-responds to repetitive inquiries
The AI chatbot learns internal policies, HR data, and work manuals and responds to employees' repetitive questions in real time. Simple requests like certificate issuance are handled by the chatbot too, so staff can focus on important work.
📝 Auto-responds to frequently asked questions (FAQ) → cuts simple-inquiry handling time
📂 Automates certificate issuance and HR-policy guidance → staff only do inspection
Custom AI points
- Shows even the folder structure when searching internal documents → grasp document location and context at a glance
- Learns employees' frequently asked-question data to continuously improve response accuracy
- Integrates with HR document-management systems like groupware and internal wikis → auto-handles certificate issuance, payday guidance, etc.
Real DALPHA case: Internal-guideline response AI chatbot
Before
Company E's employees handled work by referencing various types of internal documents — internal software manuals, item-usage guides, marketing-insight materials, and so on. But to find the information they needed, they often had to search vast materials one by one or ask the responsible department directly, causing delays, and as simple inquiries repeated, the management-support team's workload was also rising. In particular, with everything from repetitive FAQ-type questions to requests to find the location of a specific document to access-permission issues about marketing progress, an efficient way to respond was needed.
After
After adopting Dalpha's internal-search chatbot solution, Company E greatly raised work efficiency. When employees enter a question into the chatbot, it quickly searches the relevant guidelines and materials and returns an accurate answer. Per-department permission settings were also applied, so security-sensitive information is managed to be inaccessible from other departments. With this, employees can instantly find the information they need without repetitive inquiries, and the management-support team can break free from simple response work and focus on core tasks.
Now it's time for the management-support team to immerse themselves in core work
So far, we've looked at 4 cases that solved the representative simple, repetitive work management-support teams face with AI solutions.
The management-support team is a core department that holds up company operations. When they break free from repetitive work and focus on more important tasks, the whole company's efficiency and competitiveness rise together.
Curious whether your company's work can be automated with AI too?
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