Our approach to AI
Most AI is trapped in the application it ships with - it only sees that system's data. Even with integrations, every assistant works on an island. We invert it: JobRouter® integrates your systems into one layer that sits between them, and the agents run inside it, reading, matching and cross-checking across all of them. Automation and analysis at full scope - not another chatbot.
JobRouter sits between your systems. The AI agents run inside it, reading, matching and cross-checking the data that flows across all of them - your core systems stay untouched and remain the source of truth.
The difference
The road there
Enter where you are: spreadsheet-based processes start at 01 - free. Already integrated? Start at 03.
What the agents actually do
Each agent is configured for one well-defined responsibility, operating on structured workflow data - which is why they improve fast and hallucinate far less than general-purpose tools.
And the part that doesn't change: humans decide. Approvals, exceptions and outcomes stay with your team - supported by prepared context instead of buried in raw data.
FAQ - expanded
Use AI agents embedded into business workflows rather than standalone AI tools. An orchestration layer combines data from ERP, CRM, databases and manual user input, letting agents operate where the work actually happens - without rebuilding systems or forcing users into new tools.
Agents are built for specialised tasks, not generic answers. Each one handles a narrow, well-defined responsibility - data matching, validation, case comparison - on structured data inside workflows. Less guesswork, fewer hallucinations. They prepare information and suggest actions; humans keep decisions and outcomes.
Agents take supporting roles: retrieving information from multiple systems, reconciling data, highlighting inconsistencies, suggesting next steps from previous cases. Employees stay responsible for decisions, approvals and exceptions - supported by prepared context rather than buried in raw data.
In most cases, no. Integration is implemented as a separate orchestration layer that connects existing systems rather than modifying them. Your ERPs, CRMs and databases remain the source of truth, while workflows coordinate how data is used across departments.
A workflow platform that orchestrates data and actions across sources - via APIs, connectors or controlled database access. The goal is not to merge systems but to unify how work flows between them, transparently and under control.
Primarily process capacity and quality: teams handle more customers, orders and cases without added headcount, and gain time to remove bottlenecks. The value comes not only from doing work faster, but from using people's skills more effectively.
Benefits appear once the first workflows are in daily use - clearer ownership, less manual handling, better visibility. The approach is incremental: processes improve and AI support arrives step by step, without disruptive changes.
Agents operate on the data the workflow gives them, case by case - governed by the same access rules as the users in the process. What they may read, match or write is defined in the workflow design, and every action is logged in the audit trail.
At step 01. AI agents shouldn't run on spreadsheets - they need structured workflows underneath. The free 3-day Proof of Concept turns one of your Excel- or email-driven processes into exactly that. Workflows first, agents next - on the same platform, with no rebuild in between.
7 questions carried over from the live FAQ + 2 new. The deep-dive guide (AI agents & system integration) stays as-is and is linked from the hero.
Start at 01: a working version of one of your processes, on the JobRouter® platform, in 3 days. Free of charge, no commitment.