DocumentGrounded in your own work material, AI writes in the formats you already use. What the material does not say, it asks you instead of inventing. Every document turns your work into knowledge, and AI becomes a truly personal assistant of your own.
Why general-purpose AI alone falls short
The difference starts with whether your company’s own materials are used as evidence. Harness Document uses those materials to reflect both the content and format in each draft.
Written for you, right away
You can check which meeting or which task a passage came from.
No need to reformat documents in HWPX, Word, PowerPoint or Excel.
If evidence is insufficient, it is marked “Needs checking,” and the final judgement stays with your team.
Revenue, headcount, track record: values not in your material are not invented but marked “needs confirmation”. Filling them in is the owner's job.
Each item is tagged with the meeting note, policy or conversation it came from. When approval or review asks, you can answer on the spot.
Drafting takes less time. Your team keeps the judgement and final review.
[2 meeting notes and the work log attached] Draft this week's report, please.
I read both meeting notes and the work log. I compared them with last week's report. Last week listed three items as “done this week”, but this week's log shows only two done. The third, sending the quotation, has no record.
Was the quotation sent, or postponed? With no record I will mark it “needs confirmation” and list it as delayed.
Sent on Thursday. I forgot to log it.
Marked done, with this conversation as the source. Tuesday's note, page 3, changes next week's schedule, so I will reflect it under next week's plan. Writing the draft.
A document written by AI can look right and still be unusable over one invented number. So what it does not know, it asks, like this.
Before · Staff manually searched daily construction bids on public procurement sites and relied on personal experience to compare eligibility and track record.
After · The AI automatically collects and filters bids and creates a review draft after analyzing the full source material.
80% higher bid accuracy
We used to choose opportunities by intuition. Now we choose with evidence and focus on the bids we can win.
Before · People monitored notices across channels and started every proposal from a blank page, making headcount the ceiling on revenue.
After · An AI that knows the company automatically judges opportunities and expands proposal capacity through batch analysis.
48% revenue growth
The specialist agent takes opportunities from discovery through the first draft, while we focus on strategy. We can pursue more business with the same team.
Adoption results from construction and SI companies · measured by customers · names undisclosed under confidentiality agreements
Automatically collect, assess, and prepare proposals for public procurement notices.
Operate on a fully air-gapped, on-premise environment without sending originals outside.
Enter customer RFPs and requirements to analyze them and create drafts using the same criteria.
We go over which notices we can gather for you, and how far your own material can carry a proposal.
Lite
Individuals or businesses with fewer than five employees
per month100,000KRW
VAT included · per user
Who it’s for Individuals or businesses with fewer than five employees
Pro
Team plans · custom quote
Custom quote
Pricing is based on users, support scope, contract term and requirements.
Who it’s for No company-size limit
Request a custom quote| Included | Lite | Pro |
|---|---|---|
| AI neural analysis · 6 AI design outputs | ||
| Document drafting | ||
| HWPX / Word / PowerPoint / Excel files | ||
| Users | 1 user | By agreement |
| Dedicated environment and support | ||
| On-premises server installation | By agreement | |
| Admin console · consolidated billing · shared team knowledge | ||
| External AI cost | Paid by the user | Set in the quote |
If you need system building beyond documents
When you want to build and run it yourself, expand to Builder. Keep document drafting while adding Harness Coding.
Explore BuilderDocument work
Knowledge captured with it
You create a report
Work progress and key decisions
You create a plan
The decision criteria your company uses
You organise meeting notes
Owners, actions, and deadlines
You add policies and templates
Your company's vocabulary and document formats
Final document
It is clear which document is the final version.
Creation process
The conversation and reasoning behind each decision remain.
Source material
Each document stays linked to the internal material it was based on.
These records become the evidence AI uses to create the next document faster and in line with your company.
Adopt AI while keeping control of your data
Review cloud, on-premises, or hybrid deployment for your environment, then apply system controls alongside internal operating rules.
Data controls built into the system
Operating rules set by your company
Define which materials may be uploaded and which are restricted, then reinforce those rules through employee training and regular reviews.
| When an individual uses AI directly | When using Harness Document | |
|---|---|---|
| Usage records | No usage record remains with the company | User, source, and activity details are recorded |
| Original materials | They may be scattered across personal PCs and accounts | They are indexed only within designated servers |
| AI evidence scope | The user selects the materials directly | Only company-approved materials are used as evidence |
| Output management | The individual must store outputs and manage access separately | Company storage locations and team-level permissions are applied |
| Basis of the result | It is difficult to verify whether company materials were used | The internal sources used can be traced |
The difference is not whether AI is used, but whether usage records and control remain with the company.
Under the default settings for the enterprise account, inputs and outputs are not used for model training.
If conversation rating is used, that conversation may be used for training, so we disable the feature in the organisation settings when service starts.
Only necessary information is available to administrators
Administrators can review users, times, and activity records, but cannot view conversation content by default. Separate permission is required for a legitimate review such as an audit, and every access is logged.
Records required for operational control are retained, while individual work content is protected to the extent necessary.
The base capacity is 10 GB per person, and company-wide capacity is headcount × 10 GB. A user can continue working above their individual allowance while the company remains within its total capacity. To prevent account sharing, each seat can be signed in on up to two PC or app devices at the same time.
Avoiding external AI entirely requires an on-premises setup using internal servers and GPUs. Build costs and operating scope are determined through consultation. The standard setup is a hybrid of an internal Harness and external AI inference.
At first the AI asks a lot. It does not know your company yet.
From the second document it asks less. It remembers what you decided last time.
Use it long enough and it hardly asks. Like someone who has worked with you.
A tool that does everything for you is easiest on day one and disappoints from there. Harness Document is the opposite.