The questions your team answers every day — hand them to a bot that cites its sources See setup guide
Company data

The analyst that actually
knows your company files

Drop a file, or keep the place you already use. Ask from there.

From attached files

Is this contract term right?

Same questions this morning

See it tomorrow

What this answer uses

  • ERP
  • Contract sheet
  • Company policy
Company question Today From
Is this contract term right? Clear Contract, policy
Is this the latest price? Clear ERP, price sheet
Does this hit our policy? Hold Policy, item rule
Next Join this week’s repeated questions too?

How it attaches

Attach what you have, then analyze

Drop a file, or keep the place you already use. New arrivals land in the same place.

  • Files

    Drop a spreadsheet, PDF, or document. Ask from the same place you uploaded.

  • What you already use

    Keep Drive, Notion, mail, or ERP connected. New items attach to the same place.

  • Ask now

    Write the job you want done. It shows you from the files that are already there. The same question runs again tomorrow.

Open intake
What's actually happening

The answer the company needs lives in one person

  • What you need sits in ERP, a sheet, and a PDF

    Every decision opens three places. Finding the files takes longer than the decision.

  • Someone gets asked, then work continues

    Whether the answer was right lives in that person's head. Tomorrow the company needs the same answer again.

  • Yesterday's answer is gone from the company today

    The data keeps arriving. The question sinks into chat, and the company starts the check over.

What it does

Attach the files,
hand off the work, see the spend.

Drop a file or keep the place you already use. Hand the repeated work to an agent. See who used what on one screen.

Materials

01

Drop a file, or keep the place you use

New arrivals attach to the same place.

Sheets, documents, Drive, mail. Ask from where the files already are.

From

FileDriveNotionSlackMail

How

What you want

TableContentFrom
ContractsNotice is due 30 days before expiry.Drive
ContractsAuto-renewal needs a written agreement.File

WHAT YOU GET

  • Drop a file
  • Keep the place you use
  • New items in the same place
  • Ask right away

Agents

02

The same job, from those tables, through to the end

The next run follows the same order.

Bid review, contract drafts — work that reads source material and returns a result. Every step stays on the record.

Contract draftRunning 4m 12s
StepStatusNote
Search similar contractsDone8 sources
Compare to our standardDone5 differences
Write the draftRunning
Legal approvalWaitingNeeds approval

WHAT YOU GET

  • Agents per job
  • Every step recorded
  • Stops where approval is required
  • Results to Slack or mail

Governance

03

Who used what, on one screen

Work that already went well becomes a proposal.

See usage first. Repeated work surfaces next. A proposal can be test-run, then chat or an artifact.

AI use this monthAug 1 – 23
WhoOn whatSpend
SalesProposal drafts$412
SupportCustomer replies$268
LegalContract review$121

Next Repeated work to a proposal

WHAT YOU GET

  • Usage for people and agents
  • Repeated work in view
  • Promote it as a proposal
  • Test run, then chat or artifact
Before / After

The days of “just check our docs” are over.

Customer question "Where is our data stored?"
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 it

Three people use it, each for a different reason

The one who finds the way, the one who hands it out, the one who watches the cost — each opens a different screen

AI champion

Packages what they've found into a work pack and publishes it. The team next door uses it as-is — no need to subscribe to three separate tools

Marketplace · Lineage

Team lead

Sets a spending cap for the team and sees which task drove the AI use. What works gets handed to the whole team

Team spend · Cap settings

CEO · CFO

Sees which team and which task drove this month's AI spend. The good approach sticks around, so next month costs less

Spend overview · Company-wide caps

Set the limits, pay only for what gets used

AI costs run through the subscriptions and API keys you already pay for. What we get is Context and Runtime. A dedicated instance, a specific region, or on-premises is scoped in consultation.

See full pricing

AI 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
AI Cost Governance →

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. Declining is the base design.

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.

Objections we've heard before

So what happens to what we already use?

We already bought Copilot or ChatGPT Enterprise.

Those are tools. You'll buy the next one when something better ships next year. Schift sits underneath them — whatever you use on top, execution runs in our isolated runtime, on tokens your company already owns.

Doesn't the vendor just swap in the latest model for us?

They do. Whether your actual workflows still work afterward is the part you find out yourself. Schift locks your workflows into an evaluation set, and when a model changes, it reruns that set to confirm before the switch goes live.

Isn't Schift just another vendor, then?

It's a vendor, yes. What it sells is the runtime and the tokens, so there's nothing to swap out. Change the tools on top as often as you like — what you build stays on your side either way.

If employees don't use it, aren't we just burning money?

You pay for what runs. The contract carries your search and ingest limits — 100 people searching 100 times a day and 200 people searching 50 times a day cost the same. AI costs run through the subscriptions and API keys you already pay for, and you can set spending caps by team or by person in advance — it stops when the cap's hit.

Does our data leave our control?

Each organization gets its own isolated runtime, and if you need it, we deploy a dedicated instance inside your own network. Your data stays in the region you choose.

If you already have it, that's an asset

Schift sits underneath what you already use. Keep your tools — we lay the foundation below them.

What you already have Here's what happens
The ChatGPT or Copilot seats you already bought Keep them. We don't replace them. Once execution runs through our isolated runtime, who spent what — and how much — shows up on one screen.
The n8n workflows you built last year No need to rebuild them. Just route execution through our runtime. Change tools later, and the record still stays with the company.
Internal groupware, ERP, and internal APIs Connect them through MCP. Nothing gets rebuilt, and every call is logged — which account called what.
Notion, Google Drive, your internal wiki Nothing gets re-typed. As-is, unsorted, it becomes a source in Context.
Scanned PDFs and legacy file formats No conversion needed. We read photographed paper too.
The model you're using today It's fine if it changes. We lock your workflows into an evaluation set, and when the model changes, we rerun that set to confirm before the switch.

The person who's good at this is already on your team. We spread their way of doing it across the company

It starts with Context. Set the limits and the whole company is in. Keep the tools you use today — we lay the foundation underneath them.