Are your staff still manually checking portals, prices or statuses?
We build AI monitoring agents that automatically watch changes in systems, portals, emails or data sources and turn them into action.
No manual checking. No missed changes. No more "someone will check it eventually".
Source → change → action
Sources
Sources
Supplier portal
B2B login
Price sheet
competitor
Order status
API / portal
Email feed
inquiries
AI monitoring agent
watches · detects · evaluates
Automated actions
Automated actions
Slack / Teams
alert
CRM task
HubSpot / Pipedrive
Record update
ERP / DB
Report
weekly digest
Source → change → AI evaluation → automated action. No more manual checking.
This solution fits if your team regularly:
If someone on your team opens the same systems daily just to check "if anything changed" — that can be automated.
An AI monitoring agent can:
The agent doesn't just see the change — it triggers the next step of the process.
Four typical monitoring scenarios
Price monitoring
An AI agent tracks supplier, competitor or market price changes and notifies the right team before margins are affected.
Status monitoring
The agent checks order, shipment, document or request statuses and triggers an action if something changed or stalled.
Portal monitoring
If staff manually check client, supplier or public portals, the agent does it automatically — even without an API, via a browser agent.
Lead & opportunity monitoring
The agent tracks new entries, requests, tenders or public procurements and forwards them to the team with full context.
How many hours you can save per month
AI value calculator
Estimate how many manual hours and how much budget you can free up monthly and yearly.
Estimates are indicative. We refine the exact ROI after a free consultation.
How it works?
From source inventory to an automated action with human control.
We define what to watch
A portal, system, price, status, document, email or other source.
We define what counts as a meaningful change
Not every change should trigger noise. We agree which changes actually matter to the business.
We build the automated action
Alert, task, CRM record, report, escalation or another process step.
We add human control
Ambiguous cases are escalated to a responsible person for review with full change context.
What the team gets
We integrate with your existing tools
We send alerts, tasks and records to where your team already works.
From diagnostics to production use
AI process diagnostics
1–2 weeks
- Assessment of how much manual checking happens today
- Inventory of sources, systems and required actions
- Clear recommendation whether to start a PoC and from which scenario
AI PoC
2–6 weeks
- Monitoring agent prototype on a real source
- Change detection rules and evaluation logic
- First automated action (alert, task or CRM record)
Pilot process
4–8 weeks
- Rollout in a limited real process
- Human review for ambiguous changes
- Result tracking and iterations
Production use
6–12 weeks
- Full coverage of monitored sources
- Escalation rules, audit trail, documentation
- Support and SLA
We work on hourly rates. Concrete scope and budget are agreed after the AI process diagnostics.
Is your team still manually checking whether anything changed?
We'll show which monitoring processes can be automated and which PoC is worth starting from.
Frequently asked
How quickly is a change detected?+
Depends on the source: API changes are detected within seconds, portal and web sources within minutes based on the configured polling cadence.
Does it work with systems that have no API?+
Yes. We use browser agents, web scraping, RPA tools and email parsers — so we can monitor even legacy systems or public portals.
What happens if a change is ambiguous?+
The agent escalates to a responsible person with full context — what changed, where, when and the suggested action. A human makes the final call.