Invoices and documents, read
Invoices, POs, and forms read and entered into your systems automatically, with no manual typing.
AI Operations
AI Operations
AI agents for business operations: document processing, workflow automation, finance and back-office work, internal copilots, and forecasting your planning team can defend. Built into the ERP, accounting, and internal tools you already run. This is AI for the operations behind your P&L, not AIOps server monitoring.
Running today
Operations systems working in production
01
akollo
Billing & revenue operations
02
pulseboard
Live ops analytics suite
03
bestdent team
Clinic back-office app
04
insight hub
Internal intelligence digest
05
growth.ai
Forecasting & planning board
80%Routine steps automated
2-4 wkFirst workflow live
100%Actions logged & auditable
The operating loop
One loop from raw documents to next quarter's plan
Manual back office
4 min / document
ENGINE
8 sec / document
Capture
Every document becomes clean data
Invoices, orders, contracts, and forms land as structured records, not attachments. The agent reads each document, matches it against your master data, and scores its own confidence. Anything uncertain goes to a review queue; everything else flows straight into your systems.
Live extraction
akollo.app
What the engine runs
Business process automation, measured in hours returned
Six lanes, one engine. Everything plugs into the systems you already run, every action lands in the same audit trail, and nothing depends on a tool your team has to learn from scratch.
Document processing & data extraction
Invoices, contracts, delivery notes, and forms read into structured data with confidence scores. Tuned on your real documents before go-live; low-confidence cases route to a human queue instead of into your ledger.
Workflow & process automation
Agent workflows and RPA for the work between systems: approvals, postings, handoffs, re-keying. Guardrails, limits, and rollbacks are defined with you before anything runs on its own.
Finance & back-office operations
AP and AR processing, bank reconciliation, expense handling, and reporting packs that build themselves. The month-end close shrinks from days of copying to hours of review.
Internal copilots & knowledge agents
Assistants that answer from your own policies, contracts, and wikis, and draft the routine work: replies, summaries, briefs. Scoped to what each team is allowed to see.
Forecasting & planning
Demand, cash, and capacity models trained on your history and backtested against it. Driver-based plans that update weekly, with confidence ranges instead of one hopeful number.
Decision dashboards & alerting
Live dashboards across your connected systems with variance alerts that find you, not the other way round. Every metric traces back to the source record behind it.
What you can offload
What's possible
Agents for the work behind your P&L: documents, back-office tasks, and forecasts, built into the systems you already run, with audit trails.
Back-office on autopilot
Repetitive finance, HR, and admin steps run on their own, with a human approving the exceptions.
Internal copilots
Staff ask a question in plain words and get the answer from your policies, data, and tools instantly.
Forecasts you can defend
Demand, cash, and revenue projections built from your numbers, with the reasoning shown, not a black box.
Built into your ERP
Works inside the accounting, ERP, and internal tools you already use; no rip-and-replace.
Audit trails by default
Every automated action is logged and reviewable, so finance and compliance stay comfortable.
What ops automation costs
Three packages, priced for your market
No configurator, no haggling. Pick the lane that matches where your operations are; prices adjust to your market automatically, the same way the site picks your language. A single workflow agent starts around $2,000.
Entry
One workflow, automated end to end.
from
$2,000
What's included
- One process, scoped with you
- Document capture or one workflow agent
- Wired into one system you already run
- Human review queue and audit log
- Live in two to four weeks
Growth
Most popularYour core back office, automated and measured.
from
$10,000
What's included
- Three to five workflow agents across ops and finance
- Document processing tuned on your samples
- Live ops dashboard with alerting
- ERP, accounting, and helpdesk integrations
- 30 days of post-launch tuning
Enterprise
Dedicated ops and forecasting, scoped together.
Talk to us
What's included
- A dedicated ops automation squad
- Forecasting and planning models, backtested
- Internal copilots on your knowledge base
- Compliance, audit, and EU hosting support
- SLA and a shared automation roadmap
Prices follow your market automatically and are indicative. Final pricing is fixed scope after a short call, built from country-blended rates.
Book an ops reviewStraight answers
What ops leaders ask before automating
Accuracy, guardrails, integrations, and what happens when things change. The questions every operations buyer asks us; answered without a sales call.
Document-heavy and rule-based work first: invoice and order processing, data entry between systems, approvals, reconciliation, reporting, and internal questions answered from your own documents. In most back offices, 60 to 80 percent of routine steps can run automatically, with people reviewing exceptions instead of handling every case by hand.
On typical invoices, orders, and forms we see field-level accuracy above 95 percent after tuning on your documents. Every extraction carries a confidence score; anything below the threshold you set routes to a human review queue. Accuracy is measured on your real samples before go-live, not quoted from a brochure.
Every agent runs with guardrails: confidence thresholds, allowed actions, and posting or spending limits you define. Low-confidence cases route to a review queue, and every action is logged so you can audit what ran and why. Wrong outputs become new test cases, so the system improves instead of repeating the mistake.
Yes. We build on your existing stack: ERPs like SAP, Odoo, or NetSuite, accounting tools, helpdesks, spreadsheets, and internal databases. Agents connect through official APIs where they exist and controlled RPA where they do not. Nothing gets replaced; the AI works inside the systems your team already uses.
Better in most cases, because they retrain on fresh data instead of waiting for someone to update a sheet. We backtest every forecast model against your own history and report the error rate before you rely on it. You see cash, demand, or capacity projections with confidence ranges, not a single hopeful number.
An Entry build ships a single working workflow in about two to four weeks: scoped in week one, wired into your systems, then run in shadow mode against real cases before it takes over. Larger automation programs roll out workflow by workflow, so value lands monthly rather than after a year.
Your data stays in your accounts and your region. Agents get scoped, least-privilege access, every action is logged, and nothing you process is used to train models. We work under a DPA, support EU hosting, and can run extraction and copilots on private or self-hosted models where policy requires it.
It removes tasks, not people: teams move from typing and copying to reviewing exceptions and making decisions. When your processes change, the workflows are yours to update; we document everything and can train your team or maintain it under a support plan. No black boxes and no lock-in.
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