Custom AI-powered analytics dashboards
Dashboards built around your own KPIs, with plain-language explanations of what changed and why it may matter.
AI and data
AI-Powered Business Intelligence & Automation
We build custom analytics dashboards, reporting and natural-language assistants on top of your own business data — with human review, data minimisation and clear limits built in.
Weekly business summary
Illustrative · sample data
Inquiries
24 +18%
Qualified
9 +2
Open proposals
$48k
Service interest this week
Alerts
2 new leads have no owner
Integration interest up 32%
Which service gained the most interest this week?
Observation: Integration services, up 32% on last week.
Suggestion: Add an integration case study to the services page.
The problem
Business problems we solve
- Data sits in separate tools — store, CRM, spreadsheets, accounting — so nobody sees the whole picture.
- Management reports are assembled by hand every week and arrive late.
- Leads and customer requests go unanswered because no one notices them in time.
- Decisions rely on impressions because questions like “which service is growing?” take hours to answer.
Who it is for
- Small and medium-sized businesses with data in several systems
- Sales and operations managers who need regular, reliable reporting
- Teams that receive many inquiries or requests and need to prioritise them
Capabilities
What we can build for you
Each solution is scoped to your data, your questions and your approval rules.
Business data integration
Connecting your store, CRM, accounting and spreadsheets into one consistent, well-structured data source.
Sales and customer behaviour analysis
Demand by service, market and channel; conversion between stages; changes over time — measured with privacy in mind.
Automated management reporting
Daily or weekly summaries generated from your data, with the reporting period and sources stated.
Natural-language business assistants
Ask questions in Arabic or English and get answers grounded in your data — separating facts from suggestions.
Workflow automation
Repetitive steps — data entry, routing, reminders — handled automatically, with every action logged.
Intelligent alerts and decision support
Alerts for unusual changes or items needing attention, based on documented rules you control; recommendations stay advisory.
Examples
Illustrative use cases
These examples show what is possible. They are not client projects and no results are claimed.
Weekly sales summary for a trading company
Orders from the online store and the accounting system are combined; every Monday management receives a summary of revenue by product line, slow-moving items and open invoices.
Inquiry triage for a service business
New inquiries are categorised, missing information is highlighted and follow-up questions are suggested; a staff member reviews and decides.
Bookings assistant for a clinic group
Managers ask “which branch had the most cancellations this month?” in Arabic and receive an answer from aggregated booking data, without patient details leaving the system.
Stock and demand alerts for an online store
Configurable rules flag unusual drops in sales or fast-moving stock, with a short explanation for the purchasing team.
Deliverables
- Data-readiness assessment and a written scope
- Data integration and a documented data model
- Dashboards, reports or assistant, in Arabic and/or English
- Configured alert rules with documented thresholds
- Access controls, usage logging and privacy documentation
- Handover session and administrator guide
How an engagement works
- Discuss your goals and the decisions you want to support.
- Data and privacy review — which data exists, where it lives and what may be processed.
- Prototype on sample or anonymised data.
- Build, connect and test with your team.
- Validate results against known figures before relying on them.
- Handover, training and optional ongoing maintenance.
How we handle data and AI
- Human review: AI output is advisory; people make decisions and take actions.
- Data minimisation: only the data needed is processed, aggregated or anonymised where possible.
- Your approval first: personal data is not sent to an external AI provider without your documented approval and suitable agreements.
- Transparency: reports state their period and data sources and separate facts from suggestions.
Scope limitations
- AI can be wrong. Outputs are suggestions to review, not guaranteed facts or decisions.
- Results depend on the quality and completeness of your data; a data-readiness review comes first.
- We do not build systems that take financial, legal, medical or employment decisions without human approval.
- We do not train large foundation models; we use established providers or models within agreed limits.
- Third-party AI provider and hosting costs are separate and depend on usage.
- Regulatory requirements for your sector and country must be confirmed with your advisers.
Discuss your AI or analytics project
Tell us which decisions you want to support and where your data lives. We start with a data and privacy review — no account needed and nothing is charged for an inquiry.
