01
We find where it helps most
The one workflow where AI clearly saves time or money, found through diagnosis, not assumed.
For small businesses in Egypt · clinics, shops, services
A WhatsApp assistantthat answers your customers.
Your customers ask the same questions every day: appointments, prices, address, availability. We build a WhatsApp assistant that answers them from your own material and your own prices, then we run it, secure it and send you a report every month. If your problem is something else, we diagnose it first and tell you honestly.
- Diagnosis first
- Built and run by HumAI
- Arabic + English
HumAI discovery agent
Online · replies in real time
- Problem
- Impact
- Workflow
- Constraints
- Pilot
What is slowing your business down?
Try an example
Find the real constraint
Establish the baseline
Choose the smallest credible test
Keep people accountable
Your AI team, without hiring one
Instead of hiring an AI team, use ours.
You do not need AI engineers. You need customers answered and work done faster. HumAI finds the one workflow where AI helps, builds it (often a WhatsApp assistant that answers repeated questions from your own material), runs it and keeps it secure, and sends you the numbers every month.
02
We build it around your team
The smallest useful system that fits how your people already work, tested against your baseline.
03
We run it for you, monthly
Hosting, updates, fixes, security and human review points stay on our side, for a fixed monthly fee.
04
You see the results
A monthly report on what it handled and what it cost you, and one named person accountable. We do not hand over and disappear.
Diagnosis still comes first. If the honest answer is no build yet, we say so.
Start from the symptom
What is the business struggling to do well?
Choose the closest situation. Each page explains what may sit beneath the symptom, what evidence matters, and how to test a response without assuming AI is the answer.
01
Common signal · Time disappears into repetition
Too much work is still manual
Diagnose this problem02
Common signal · Demand outruns the response process
Customers wait for answers
Diagnose this problem03
Common signal · Knowledge exists but cannot be used reliably
Nobody can find the trusted answer
Diagnose this problem04
Common signal · Information exists but action comes late
Decisions arrive after the moment has passed
Diagnose this problem05
Common signal · AI ambition has no decision framework
We know AI matters—but not where to start
Diagnose this problemFrom complaint to decision
A structured conversation—not a disguised sales form.
The discovery agent asks one question at a time. It traces the current process, impact, people, systems, data and constraints before it discusses a possible response.
Problem
What is happening now, and where does it begin?
Impact
How often, how costly, and what is the consequence?
Workflow
Who acts, which rules apply, and where do cases wait?
Constraints
What must stay private, accurate, reviewable or connected?
Pilot
What is the smallest safe test that creates a decision?
Illustrative diagnosis
“Our team spends hours reading supplier PDFs.”
An example of the reasoning path—not a client result or promised outcome.
01 · Symptom
Staff retype fields and check documents manually.
02 · Evidence
Volume, handling time, document variation, error and exception rate.
03 · Decision
Separate deterministic validation from ambiguous review.
04 · Pilot
Shadow one document type and compare extraction plus review against the baseline.
Technology comes later
The right answer might not be generative AI.
Stable rules may need ordinary automation. A broken handoff may need process redesign. Sensitive or high-volume work may justify private infrastructure. Ambiguous language or documents may benefit from AI with evidence and human review.
Process changeRules and integrationAnalytics and alertsAI-assisted workflowControlled agentNo build yet
Read the decision guidesStraight answers
Before we work together.
Do I need an AI specification before contacting HumAI?
No. A clear business pain is a better starting point. We turn the current workflow, impact, users, data and constraints into a scoped solution brief.
Can you work with Arabic and English?
Yes. We design bilingual interfaces and conversations, then evaluate them in each language instead of assuming an English system will transfer perfectly.
When should we use a local model?
When privacy, residency, offline operation or predictable high-volume economics justify the added infrastructure—and when a local model meets the required quality. Otherwise, an API or hybrid system may be better.
How do we start?
Usually with a short discovery, followed by a focused prototype or pilot that tests the riskiest assumption. We define success measures before scaling, then, if it works, we run it for you monthly.
What happens after it goes live?
HumAI keeps running it: hosting, updates, fixes, security and a monthly report on what it handled. You do not hire anyone. If you want to stop, you stop.
Can you integrate with our existing systems?
Yes, when the systems expose a safe integration path. We map permissions, data movement, failure cases and human approval before connecting production workflows.
Your problem is enough to start
Let’s find the AI opportunity worth building.
Describe the friction. We’ll help you frame it, challenge the assumptions, and choose the smallest useful next step.
Start with the discovery agent