Alem Control layer
Give AI agents authority.
Keep control.
The control layer for company spending and AI-initiated actions.
Upload a bank statement. See AI and SaaS spend, recurring charges, and operations without documents — then save the report and review the registry.
No signup until you want to save the report. Empty fields stay unknown.
Spend snapshot
Upload a CSV or XLSX statement
Columns are detected automatically. If not, you map date, description, amount, and currency.
No signup yet. You see the snapshot first. The file stays private.
Company spending is already fragmented.
AI agents make control even harder.
Documents everywhere
Invoices and receipts arrive through email, Telegram, Slack and other channels.
Approvals everywhere
Founders and finance teams chase people manually and lose visibility over what has been approved.
Agents are getting authority
AI agents increasingly access tools, data and financial workflows — but companies lack a single layer defining what they are allowed to do.
Alem brings these workflows into one control layer.
One control layer.
Two immediate use cases.
Expense Management
Stop chasing invoices and receipts.
Alem collects financial documents from the tools your team already uses, matches them against transactions and gives finance teams a real-time view of company spending.
Collect
Gmail, Telegram, Slack, manual upload.
Reconcile
Bank transactions, corporate cards, subscriptions.
Control
Missing documents, duplicates, unpaid invoices, items that need review.
Report
Accountant-ready records and export into finance systems such as Zoho Books.
AI Agent Control Tower
Give agents permissions — not unlimited access.
Alem defines and enforces what AI agents are allowed to access, approve, spend and execute.
Limits, merchants, APIs, accounts, geography, time, human thresholds, frequency, expiration, data scope.
Intent → Policy → Approval → Action → Audit
A person or AI agent requests an action. Example: Pay invoice #492.
Alem checks identity, authority, amount, vendor, context and company rules.
Low-risk actions can proceed automatically. High-risk actions go to a human.
Approved actions are sent to existing company tools and financial rails.
Every decision and action gets an audit trail.
Alem sits above the systems companies already use.
Try Alem free for one month.
Stop chasing invoices, receipts and approvals manually. Join our early access program and get your first month of Alem free.
- Invoice and receipt collection
- Transaction reconciliation
- Missing document tracking
- Expense visibility
- Approval workflows
- Access to new AI Agent Control features as they launch
Limited early-access availability.
Works with the tools your company already uses.
Communication
GmailAvailable
TelegramPilot
SlackComing soon
Accounting
Zoho BooksComing soon
XeroComing soon
QuickBooksComing soon
Financial infrastructure
BanksComing soon
Corporate cardsComing soon
Payment APIsPilot
Stablecoin railsPilot
Developers / AI agents
APIPilot
MCPComing soon
AI agentsPilot
Built for companies where software increasingly takes action.
Finance teams
Reduce manual reconciliation, approvals and missing financial documents.
AI companies
Define what autonomous agents can access and execute.
Enterprises
Create company-wide policies for AI-initiated actions.
Developers
Give agents controlled permissions without unrestricted credentials.
AI is moving from answering questions to taking actions.
Once software can purchase, transfer, approve, modify, access and execute, companies need infrastructure for identity, authority, policy, approval and audit.
Every AI agent with authority needs a control layer.
Deploying AI agents inside your company?
We are working with early design partners to understand how enterprises delegate authority to AI agents and where human approval should remain mandatory.
Building infrastructure for the autonomous enterprise.
Alem starts with financial operations — one of the highest-consequence workflows inside a company. The long-term vision is the control and authorization layer governing how AI agents take consequential actions across enterprise systems.
Today
Expense collection, reconciliation and approval.
Next
Policy and authorization for AI-initiated financial actions.
Vision
The governance layer between AI intent and enterprise execution.
Built by operators who have scaled real businesses.
Alem is building the control infrastructure companies need as financial operations and AI agents become increasingly autonomous.