AI solution blueprints

Picture the workflow.
Plan the business impact.

Explore how AI could help a property team qualify enquiries, a hotel handle guest requests or employees find reliable company knowledge.

Explore the blueprints

Choose the challenge closest to yours

The scenarios are designed for discovery conversations with Middle East businesses. Language support, integrations and deployment requirements would be confirmed against your environment.

01 / Real estate

Proposed solution · Not yet built

Turn property enquiries into sales-ready conversations

A proposed assistant that captures buyer requirements, finds relevant approved listings and prepares a useful handover for your sales team.

The business challenge

A property agency receives enquiries while agents are in viewings or outside office hours. Messages arrive with missing details, and the team repeats the same questions before it can suggest a property.

The intended outcome

Help your team spend more time on relevant conversations, with each enquiry accompanied by the buyer’s requirements and a clear next step.

How the proposed solution would work

  1. Step 1

    Understand the request

    Ask about location, budget, property type and purchase or rental timing. Offer an agreed English or Arabic journey, with language quality reviewed during the pilot.

  2. Step 2

    Find relevant options

    Retrieve listings from the approved catalogue. Show only supplied prices and availability; route uncertain or outdated details to an agent.

  3. Step 3

    Prepare the handover

    With the prospect’s permission, save their details and preferences in the CRM and request a viewing or callback. Confirm appointments only when the booking system accepts them.

A focused first pilot

One website chat journey, one property catalogue and one CRM handover. Begin with enquiry capture and agent review before adding scheduling or further channels.

What we would need from you

An approved listing feed, CRM access, qualification rules, contact-consent wording and representative English/Arabic enquiries.

How we would measure success

  • Time from enquiry to a useful first response
  • Share of enquiries with complete qualification details
  • Agent-reviewed relevance of suggested listings
  • Viewing requests accepted by the sales team

Establish the current baseline first, then agree acceptance criteria and compare pilot performance. These are evaluation measures, not achieved results or guarantees.

Implementation boundaries

The assistant would not negotiate prices, promise availability or make commitments on an agent’s behalf. Contact preferences and access to lead records would be part of the implementation scope.

Discuss a pilot like this

02 / Hospitality & customer service

Proposed solution · Not yet built

Give guests a helpful first response, even when the desk is busy

A proposed chat and voice assistant for routine guest questions, service requests and smooth handover to your staff.

The business challenge

A hotel’s front desk handles recurring questions about check-in, amenities and transfers while also supporting guests in person. Requests can lose context when they move between channels or shifts.

The intended outcome

Make routine information easier to access and give staff structured service requests, while keeping people available for exceptions and sensitive conversations.

How the proposed solution would work

  1. Step 1

    Answer from approved information

    Use the property’s reviewed policies and service catalogue to answer questions. Ask for clarification when the request or language is unclear.

  2. Step 2

    Capture a service request

    Collect the details needed by staff and create a ticket through an authorised integration. Access to booking-specific information would require an agreed identity check.

  3. Step 3

    Hand over with context

    Escalate complaints, uncertain answers and unsupported requests with a concise summary. A later voice phase could add inbound calling after speech and transfer testing.

A focused first pilot

Start with one property, website chat, approved FAQs and a staff ticket queue. Add an inbound voice pilot only after checking the telephone setup, target dialects and human-transfer path.

What we would need from you

Reviewed guest information, service-request rules, escalation contacts, ticket-system access and representative conversations. Voice would also require suitable test recordings and telephony access.

How we would measure success

  • Correctness of answers against approved policies
  • Routine requests completed without re-entering information
  • Successful transfers to a staff member
  • Guest feedback and staff correction rate

Establish the current baseline first, then agree acceptance criteria and compare pilot performance. These are evaluation measures, not achieved results or guarantees.

Implementation boundaries

Refunds, booking changes and payment actions would remain outside the initial pilot. Arabic variants, background noise and English/Arabic code-switching would be evaluated before a voice launch.

Discuss a pilot like this

03 / Internal operations & professional services

Proposed solution · Not yet built

Find the right company answer, with the source attached

A proposed internal knowledge assistant that helps employees search approved procedures and documents while respecting existing access boundaries.

The business challenge

Employees search folders, message colleagues and compare document versions to answer routine process questions. A plausible answer is not enough: they need the current policy and the document that supports it.

The intended outcome

Reduce time spent looking for information and make answers easier to verify through source references and explicit handling of missing evidence.

How the proposed solution would work

  1. Step 1

    Connect a controlled collection

    Ingest an approved document set with ownership, version information and access rules. Define how changes and deletions reach the search index.

  2. Step 2

    Retrieve relevant evidence

    Search only material the signed-in employee is permitted to access. Combine relevant passages into a draft answer with links back to the sources.

  3. Step 3

    Make review easy

    Say when the sources do not support an answer, collect feedback and route gaps to the document owner. Evaluate access controls and answer quality before expanding the collection.

A focused first pilot

One department, one approved document collection and a signed-in web interface. Evaluate representative questions and access-control cases before connecting more sources.

What we would need from you

Document-owner approval, representative questions with reviewed answers, user/group permissions, update rules and hosting requirements.

How we would measure success

  • Time to find and verify an answer
  • Answers supported by the correct source passage
  • Handling of questions with insufficient evidence
  • Permission checks and document-update propagation

Establish the current baseline first, then agree acceptance criteria and compare pilot performance. These are evaluation measures, not achieved results or guarantees.

Implementation boundaries

This pilot would provide knowledge assistance, not automatically approve purchases or change records. Retrieved content would be treated as reference data, and data-processing locations would be agreed during discovery.

Discuss a pilot like this

Make the next step concrete

Bring your process. Let’s define the pilot.

We would confirm the data, integrations and delivery scope before implementation, then evaluate a working pilot against agreed criteria. Any future client case study would use verified results and client permission.

Discuss your project