Speaks your organization’s language
Botify can be tailored to understand your business terminology, policies and the way you communicate with employees and customers, delivering an experience that reflects your identity.
Botify is designed to become part of how your organization works, not just a chat window. It reaches knowledge, interacts with systems, executes actions, and evolves with your business needs.
Botify can be tailored to understand your business terminology, policies and the way you communicate with employees and customers, delivering an experience that reflects your identity.
Whether information sits in documents, knowledge bases, internal sites or business systems, Botify reaches it and surfaces it at the right moment.
Beyond providing information, Botify executes actions, submits requests, creates tickets and triggers workflows, all within the permissions you define.
Botify connects easily with the applications and platforms your organization relies on, without changing your current technology stack.
Deliver a unified experience across your website, messaging apps, work platforms and internal channels, with the same knowledge and the same capabilities.
When a case needs a human, Botify passes the conversation or request with full detail and context, so the user never starts over.
Track usage, the most common requests, service levels and improvement opportunities through an interactive dashboard.
Granular permission management, audit logs, data encryption, and support for governance and compliance requirements, fit for enterprise data.
The capabilities above describe what it does. These explain how, because the difference between an agent a team relies on and one abandoned after a fortnight lives in exactly these details.
Every answer is built from your documents, retrieved at question time. With no adequate support it says it does not know rather than inventing. That constraint is the line between an asset and a liability: an ungrounded model will compose a returns policy you never wrote, in fluent prose and with complete confidence.
A customer writes "ابغى ارجع الطلب", "أريد إرجاع الطلب" and "i want to return my order" in one conversation. Semantic vector search puts all three in the same place, so you need neither hand-written synonym lists nor a model trained on your dialect.
Connected to Odoo, every operation runs as the employee who is asking rather than as a shared service account. Odoo itself applies access rights, record rules and multi-company scoping, and rows they may not see are never fetched, so they never reach the model.
Handing off is a feature, not an admission of failure. Sharp complaints, anything touching money, and any question misunderstood twice all reach a human, carrying the full transcript, so the customer never restarts from zero.
Twenty to thirty pages covering your most repeated questions is enough for a useful launch (days rather than months). Precise coverage of the common questions matters far more than volume.
Usually not. Modern multilingual models answer in fluent Arabic, and the higher-return investment is retrieval quality rather than a bespoke model.
Every answer is attributable to the document it came from, so correcting it means editing that document, no retraining, no waiting for a release. Quality alerts surface weakly-grounded answers so you review them before a customer complains.
A short session with your documents and systems, and you will know within the hour whether this fits.