Tijara Tech designs AI-assisted workflows that help classify information, route requests, prepare responses, trigger operational actions and support reporting—with human review where the process requires judgement or approval.
Automation earns its place only where the process is understood. These are the questions we work through before proposing anything.
Not every workflow is appropriate for AI. Scope is confirmed after the process and data assessment.
The exact process, deliverables and timeline depend on the project scope.
Automating an existing operational workflow, with review kept where judgement belongs.
Discuss an Automation Workflow →The behaviour you need belongs inside Odoo as approved custom functionality.
Explore Odoo Development →The workflow needs its own application, not an automation layer over existing tools.
Explore Custom Software →There is no single system of record yet — start with the ERP.
Explore Odoo Implementation →Workflows run against representative examples and known exceptions before they touch live operations.
Review points are defined as part of the specification — who reviews, what they see, and what they can change.
Where confidence is low or an exception is met, the item is routed to a person rather than actioned automatically.
Failures, timeouts and rejected outputs have a defined route and an owner.
An agreed monitoring approach covers volumes, exceptions and failed steps — scope-dependent.
Feedback on outputs and exceptions is reviewed and prioritised; rules are adjusted with approval.
Workflows with a clear input, a repeatable decision and a defined output are the strongest candidates — enquiry routing, document handling, notifications and reporting preparation. Suitability is assessed per workflow.
No. Many workflows are better served by rules and integrations alone. We use AI-assisted steps only where classification or extraction genuinely needs them.
Wherever the process requires judgement, an approval, or carries risk. Review points are specified before build and remain visible in the workflow.
In many cases yes, through Odoo APIs or approved modules. The connection is confirmed during discovery and technical validation.
Where those systems expose usable APIs or webhooks. Provider capability determines what is feasible, so each connection is assessed.
Data handling restrictions are agreed in the assessment, including what must never leave your environment or be sent to an external service.
Yes — test scenarios and representative examples are part of the delivery, with acceptance recorded before operational use.
It routes the item to a person instead of acting. Uncertainty and exception behaviour is defined in the specification.
A monitoring approach and support scope are agreed in writing. Neither is open-ended or automatically included.
Tijara Tech designs AI-assisted workflows that help classify information, route requests, prepare responses, trigger operational actions and support reporting—with human review where the process requires judgement or approval.
Discuss an Automation Workflow See How AI Automation Works →Automation earns its place only where the process is understood. These are the questions we work through before proposing anything.
Not every workflow is appropriate for AI. Scope is confirmed after the process and data assessment.
The exact process, deliverables and timeline depend on the project scope.
Automating an existing operational workflow, with review kept where judgement belongs.
Discuss an Automation Workflow →The behaviour you need belongs inside Odoo as approved custom functionality.
Explore Odoo Development →The workflow needs its own application, not an automation layer over existing tools.
Explore Custom Software →There is no single system of record yet — start with the ERP.
Explore Odoo Implementation →Workflows run against representative examples and known exceptions before they touch live operations.
Review points are defined as part of the specification — who reviews, what they see, and what they can change.
Where confidence is low or an exception is met, the item is routed to a person rather than actioned automatically.
Failures, timeouts and rejected outputs have a defined route and an owner.
An agreed monitoring approach covers volumes, exceptions and failed steps — scope-dependent.
Feedback on outputs and exceptions is reviewed and prioritised; rules are adjusted with approval.