Small business owner
Opens the work overview in the morning, checks what was finished overnight, and approves only what needs a decision
Work overview · Approvals
The company AI that takes over repeat questions That daily question,
That daily question,
stops reaching you.
Schift answers the questions your team used to ask you, grounded in company documents. No source, no answer — it escalates to a person instead. And the more it answers, the fewer questions come back.
- No source, no answer
- Every answer cited
- Role & branch isolation
- On-prem · BYOK
Branch inquiry example2 sources
Sources used2 docs
Product manualsIngredient disclosuresHygiene rulesHR policyPrice sheets
The answerer's day
You answered that same question again today
-
Questions come from people who skip the docs
The manual, the policy, the price sheet — all written down. People still ask you directly.
-
The same person always ends up answering
Allergens, policies, leave days, pricing — already documented, looked up and re-answered every time.
-
ChatGPT can't take responsibility for your company
Company files end up in personal accounts and nobody verifies the answers. When one is wrong, the liability is yours.
Before / After
The days of “just check our docs” are over.
Before
The site or a rep just points to a document
"Where is our data stored?"
Rep
Please see our Privacy Policy for details.
The customer has to go dig through the docs
After
Answer and sources in one place
"Where is our data stored?"
Korean workspaces are stored in the Seoul region. Per the Privacy Policy and Trust Center, you can review the storage location, access scope, and the deletion-request process.
Privacy Policy Retention & deletion · Policy Trust Center Data residency · Current
Evidence ready for security review
Who uses Schift
Different roles hand off different work
What each role opens and finishes in the console
Operations lead
Puts weekly cleanup and reporting on recurring runs, then checks the results in run history
Recurring runs · Run history
Support agent
The email assistant drafts answers to repeat questions from company sources; you just review before sending
Email assistant · Collections
Marketer
Drafts social content grounded in company materials, then picks what's worth publishing
Social content
HR & admin
Handles leave requests and attendance in one screen, and keeps people records in employee profiles
Attendance / leave · Employee profiles
Developer
Uploads documents into collections, verifies them with search, and pulls workflow packs from the marketplace
Collections · Marketplace
Not headcount. Actual usage.
Shared Starter is $200/month. Usage, retention, support, or SLA needs beyond Starter move to an Instance service; dedicated deployment remains a separate isolation option.
See full pricingAI Governance
You govern the model.
Who governs the data it reads?
88% adopted AI. 7% proved ROI. The gap isn't the model — it's everything the model reads.
50% Employees using unapproved AI AI at Work Index 2026
23% Executives with actual visibility Gartner 2024
Measured in-house
Before selling it, we run our own company on it
Room821's actual record of automating its own operations with Schift. Direct queries against the production ledger — including what could not be measured and what did not work.
Daily bid and grant notice collection
1-2 hours daily → 84 seconds
From collection to briefing the owner. Seven jobs have run 50 times so far; the slowest took 84 seconds. That frees 20-40 hours a month.
Finding a clause in internal policy or contracts
20 min each → seconds
It used to mean digging through folders and asking whoever knew. Now the answer comes back with the clause location and source text.
Issuing tax invoices
10 min each → review only
Entered one by one into the billing system before. A mistake here is a tax problem, so we kept the human approval step.
Website inquiry handling
owner answered each time → 0.02 cents per answer
If it cannot find supporting documents it declines to answer and routes to a person. Not fabricating is the base design, not a feature.
What did not work, also stated
- Workflow run failure rate
- 13.6%
- Document job failure rate
- 19.4%
- Total LLM operating cost (month)
- USD 0.85
Failed runs recover on retry, but we will not claim everything works first time. Documents that arrive unorganized make retrieval useless, and files heavy with tables or drawings still need a person.
As of July 30, 2026. LLM cost is the actual charge for 578 calls over the last 30 days; server and storage costs are separate. Prior task durations are the founder's own estimates.
What you already have
You already have Notion and ChatGPT. So why hasn't the question volume dropped?
We keep everything in Notion.
Someone has to put it there. The reason your team still answers by hand is that nobody has the time to write it down. And Notion waits to be opened — the questions arrive in chat and email.
Can't we just ask ChatGPT?
Your teammate is still the one pasting the context in. Thirty minutes becomes twenty-five. And when it can't find the answer, it writes a confident one — your company owns that answer the moment it reaches a customer.
The files are all in Google Drive.
The files exist. The problem is that one person knows which file, and which line. When that person is out, the company can't answer.
Why not hire one more person?
In three months that person also needs someone to ask. When answers live in people instead of documents, every hire costs the same three months again.
Why not have an agency build it?
The system you receive in six months answers from six-month-old documents. If every change means another request ticket, you replaced your teammate with a vendor.
If you already have them, they're an asset
Schift isn't a tool you switch to. Keep what you use — we only take over the answering.
What you have What happens to it
Notion · internal wiki Your wiki becomes the source. Nothing gets re-typed.
Google Drive · Gmail We read the folders as they are. Unsorted is fine.
Slack Answers go out where they already go out. No new app to install.
Scanned PDFs · legacy formats No conversion needed. We read photographed paper too.
Your live-chat channel Keep it. We work behind it — we take the questions that fall outside the script and get handed to a human.
The person answering today They stop answering and start approving. The role moves up, not out.
The person who stops answering, starts here
Connect one document. In week one the bot answers for you; three months in, the questions themselves have thinned out.