DEEP Ops
Change the rules, not the system.
When laws or forms change, you don't rebuild. The person in charge edits the extraction rules directly, validates them on the same documents, and only the approved version goes live.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate. I was informed that I may request a rate reduction if my credit standing improves after the loan is disbursed.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate. I was informed that I may request a rate reduction if my credit standing improves after the loan is disbursed.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate. I was informed that I may request a rate reduction if my credit standing improves after the loan is disbursed.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate. I was informed that I may request a rate reduction if my credit standing improves after the loan is disbursed.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate. I was informed that I may request a rate reduction if my credit standing improves after the loan is disbursed.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate. I was informed that I may request a rate reduction if my credit standing improves after the loan is disbursed.
I confirm that I have reviewed the above, and that the loan may be cancelled if the information entered is not accurate. I was informed that I may request a rate reduction if my credit standing improves after the loan is disbursed.
Why document AI stalls
Accuracy wasn't the problem. Change was.
Law or regulation revisions, changed review criteria, new supplier forms
2yr
Time until a document AI that worked well stalls at one new field
A document AI that ran smoothly for nearly two years stops at a new item once a notice revision adds it. Accuracy didn't drop. It was never taught to read that item.
If one new field is added the old way
5steps
While work bounces between the client and the developer, the business team handles it by hand
Collect documents in the changed form and mark the answers, ask the developer for work, go through quoting and approval, then fix the model and redeploy. Until then, people enter that field by hand.
Until one new field is in production
8wk
Several weeks to two months
A deployment delivers its results once, but the cost of change comes back every time the work changes.
How DEEP Ops works
Operate it. Don't rebuild it.
DEEP Ops does three things: it changes, compares, and keeps records. The person who revises the criteria is not the vendor but the business owner who knows the work best.
- 01
Dashboard
See evaluation results and processing trends for each template on one screen. Start with the templates whose match rate dropped in the latest evaluation.
- 02
Templates
Set the items to extract and the conditions for each document type in plain language. Instead of writing a development request, the owner edits the criteria sentences directly, and each change is saved as a new version.
- 03
Version compare
Run the previous and changed versions on the same document and compare the results side by side. Before deployment, check that new items come out correctly and existing items have not broken.
- 04
Audit log
A new version is created only when the schema actually changes, and previous versions are kept rather than overwritten. The log records when, who, what, and why something changed, and you can roll back to an earlier version if a problem occurs.
In production
Straight-through, in production.
Straight-through rates for work running in production.
92%
Life insurer
Retirement pension payouts
Retirement pension payout review, 15,000 cases a month. The full re-check that took more than 12 minutes per case now reviews only the 8% of exceptions, cutting re-checking by 92% and lead time by 66%.
89%
Financial group, overseas unit
Loan document review
Local-language credit document review, 18,000 cases a month. Reviews that took more than 21 minutes per case now have people look only at the 11% of exceptions.
94%
Metropolitan government
Administrative documents for generative AI
Administrative documents converted into structured data that generative AI can use. All 302 structural elements were detected, and text similarity is 98.8%.
90%
Government agency
Tax correction claims
Extracted 361 items from 33 tax correction claim documents at 95%+ accuracy.
88%
Public investment institution
Portfolio company records
Structured 9,410 corporate registry transcripts to build a post-investment management database for portfolio companies.
Workflow
Your process, run block by block.
Connect the steps your team already follows as blocks. Decide block by block which steps a person checks, and rearrange the workflow as much as needed.
- Human step
- In useHuman step
Reuse
Prove it once. Reuse it across teams.
Save a combination verified in one workflow as an asset and reuse it in other departments and other tasks. Field evaluation results and review feedback feed back into quality improvement.
01
Model
Which VLM is used
02
Prompt
What it was told to read, and how
03
Extraction schema
Which fields are extracted, and in what format
04
Quality bar
What counts as a pass
Works alongside your MLOps
MLOps manages the model, while in document AI what changes is the business standard. Existing pipelines handle model training and serving, and DEEP Ops handles the schema, prompts, and quality criteria, working alongside them.
| Practice | Manages | Changed by |
|---|---|---|
| DevOps | Code | Developers |
| MLOps | Models and training data | ML engineers |
| LLMOps | Prompts and context | AI engineers |
| VLM Ops | Extraction schema and business rules | Business owners |
What would you hand off first?
Tell us the work you'd like help with. Send an inquiry and an engineer in charge will review it and contact you directly.