Business Brain
A shared layer of business context: your offers, customers, activity, goals, permissions, and the relationships between them.
Not a separate database. Not a replacement for your judgment.
YOUR BUSINESS ARENAMidan AI is being designed to turn business signals into reviewable actions inside your workspace: prepare a page, create a follow-up task, or update a record. After approval—or within a permission you set—it executes and logs the result. This experience is not available yet.
AI should make the connected system more useful without turning the business into a black box. Midan AI is being designed to make context visible, decisions reviewable, and action proportional to permission.
Talk through your offer, customers, and goals. Click to Business is planned to prepare a connected first draft across funnels, websites, forms, surveys, store, products, and automations. You review and adjust every part before launch.
Start with the offer, audience, and outcome you have in mind.
Give the first draft a place in your offers, customers, and goals.
It can prepare funnels, websites, forms, surveys, a store, products, and automations.
You edit what needs changing and decide what is ready before launch.
Midan AI will transcribe voice notes in Egyptian, Gulf, and Levantine Arabic and prepare a reply in the customer’s dialect for review.
«مساء الخير، هو الكورس ده للمبتدئين؟ وبكام؟»
A shared layer of business context: your offers, customers, activity, goals, permissions, and the relationships between them.
Not a separate database. Not a replacement for your judgment.A working understanding of how your business sounds, who it serves, and what it should never promise.
You can inspect, edit, and reset the source of that voice.Useful support inside the place where work happens: a next-step suggestion, a clearer summary, or a draft grounded in the record.
The recommendation stays attached to its source and its reason.Every meaningful action should arrive with enough context to make a real decision: what was noticed, what would change, who or what it affects, and what it may cost.
The system identifies a pattern across the work you have connected.
It shows the sources, reasoning, proposed change, and expected cost before execution.
The owner or a named role chooses the permission level and boundary.
The result, actor, inputs, and outcome stay in the activity log.
A suggestion can stay a thought, become a reviewed change, or run only within a boundary the owner defines.
Shows a recommendation and the context behind it.
Prepares the exact change, recipient, or workflow for your review.
Runs a narrow, pre-approved action inside a defined boundary.
Owners set roles and accessible records; show any cost before a paid action; and can narrow, pause, or revoke access at any time.
The point is not to add another place to chat. It is to reduce the distance between a signal and a considered next move.
Midan AI can point to the conversation, the offer page, and the unanswered detail. It can draft a reply for review; it does not send one just because it noticed a pattern.
Grounded example · review firstSee the connected signals behind the suggestion: campaign visits, the booking page, and recent opportunity stages. The useful output is a clearer next question, not a confident guess.
Grounded example · review firstSummarise what has happened, show the record it came from, and propose an assignment that respects workspace roles. The owner can edit, approve, or leave it alone.
Grounded example · review firstMidan AI is still being shaped. We will expand in measured stages, using real outcomes to decide when a capability is ready.
Connected business modules, permissions, activity, records, and owner-controlled workflows are the foundation AI is being shaped around.
Business Brain, grounded suggestions, reviewable drafts, narrow authorised actions, and transparent AI credits are product direction—not promises of availability today.
Midan AI should earn its place through useful outcomes, not a launch announcement. Each stage is observed before the next one expands the boundary.
Measure relevance, source quality, owner edits, and time saved before anything acts.
Measure approval confidence, reversals, permission clarity, and whether the explanation was enough.
Expand only where outcomes, costs, safety, and owner control remain visible.
The page describes the direction and the product principles. Midan AI is coming soon; the examples are read-only product thinking, not a claim that every capability is shipped.
Only where a workspace owner explicitly authorises a narrow action. The intended experience starts with suggestions and review, with permissions, limits, and a pause control visible.
Only the Midan work that the workspace makes available to it: records, activity, offers, conversations, and connected signals. The source and scope should be visible before a meaningful action.
Each useful suggestion is designed to show the relevant sources, the proposed change, affected records, and any estimated cost before you decide.