Demo · Journey A
Client Report Copilot
This demo shows how a client could chat with their AI & data readiness report. In the real product, this Copilot would read from the full diagnostic document and answer questions in Arabic and English, powered by Attar Insight's report fabric.
1) Explore a sample report view (simulated)
Sample client profile
In production, each client would see their own report here, generated from the full AI & data readiness assessment.
Choose a report section to preview
In the real system, this would be an actual slide or section of the diagnostic report rendered on screen.
Sample report slide
Executive summary – ABC Group
Where you are today and the main pains blocking progress.
- •Overall AI & data readiness around 2.8 / 4: a real foundation, but still fragmented.
- •Multiple tools and reports exist, but decision-makers still rely on manual summaries.
- •Key pain points cluster around slow approvals, reactive CX, and hard-to-find policies.
- •Phase 1 focuses on turning existing data and documents into something you can chat with.
The Report Copilot on the right is designed to sit on top of this full diagnostic. Instead of reading all the slides, your client can simply ask questions in Arabic or English.
2) Chat with your AI & data readiness report
Click a question below to see how the Copilot could respond based on the ABC Group diagnostic.
Short answer: you already have a meaningful digital and data foundation, but there are still important gaps in data, processes, and knowledge that slow you down. In practice, for an organisation like ABC Group this usually means: • Reporting is still fragmented and relies heavily on Excel and manual pulls. • Policies, SOPs, and documents exist but are hard to find or not fully trusted. • Key workflows (approvals, complaints, internal requests) depend on manual follow-up and individual heroics. Phase 1 in your report focuses exactly on these foundations: a Knowledge Copilot over your core policies and SOPs, a light unified data blueprint, and a handful of workflow pilots so later AI investments land on solid ground.
Try these example prompts:
In the full product, this Copilot would call Attar Insight's backend, read the latest diagnostic for this client, and answer based only on the trusted report content.