AllocateThe back office that runs itself,
and reports before you ask.
Document intake, scheduling, and reporting agents wired into the tools your team already lives in: email, Slack, WhatsApp, and your systems of record.
Document intake
Read everything that lands, extract every field, and file into your systems with exceptions routed to a person.
Scheduled reporting
The Friday report, written in your team’s voice, sent at 08:00 without anyone compiling it.
Internal answers
One agent that knows your procedures and answers your team in Slack, grounded in your own documents.
An intake pipeline filing 99.2% of documents without help, and 13 of 13 weekly reports sent on time.
Models teams route here.
Start on frontier, fine-tune the open ones on your own data.
Common questions
What can document intake actually handle?
Anything that lands repeatedly: invoices, forms, referrals, contracts. The agent reads, extracts into your schema, files into your systems, and routes exceptions to a person instead of guessing.
Which tools do the agents work in?
The ones your team already uses: email, Slack, WhatsApp, and your systems of record through governed tool grants. No new interface to adopt.
How accurate does extraction need to be before this is useful?
The design assumes imperfection: high-confidence documents file automatically, low-confidence ones go to review. The threshold is yours to set, and the review decisions become training signal that raises it over time.
What does a back-office agent cost to run?
Extraction and classification are cheap per token and run well on low-cost models; the price comparison tool prices your document volumes across the catalog. Billing is metered usage with hard caps.