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Destination Intelligence at Scale
A collaborative research programme for the future of destination communication.
Malta Pilot — 2026
PiirZ Digital  •  Confidential  •  April 2026
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The Problem
Destinations speak
with many voices.
No one is listening.
Tourism destinations are not single entities. They are ecosystems: dozens of actors, each with their own channels, their own message, no coordination.

The result is a fragmented picture of the destination. Content is duplicated. Audiences receive contradictions. No one has a complete view of what is actually being communicated, or how it is landing.
What exists today

Tools designed for individual brands in competitive markets. Single voice, single strategy. Not built for multi-stakeholder destinations.

What is missing

A coordination layer that lets each actor keep its own voice while contributing to a coherent, measurable destination presence.

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Our Answer
One intelligence.
Many voices.
"The system identifies what is missing, asks for it, learns, and becomes more complete every day. The destination does not feed the platform — the platform tells the destination what it needs."
Bepi is a destination intelligence platform. Each actor within a destination gets its own AI-driven digital persona: autonomous, consistent, measurable. A shared intelligence layer coordinates all voices, ensuring coherence without erasing individual identity.

This is not a chatbot. It is not a social media tool. It is an operating system for destination communication.
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Platform Architecture
Three layers.
One coherent system.
Persona Layer

N independent digital presences, each configured for a specific actor: tourism authority, local council, hospitality association, cultural institution. Each operates autonomously within defined governance rules.

Knowledge Layer

A three-tier knowledge base: shared destination facts, actor-specific content, per-persona memory. Conflict detection prevents contradictions before they reach the audience.

Intelligence Layer

Coordinates personas, tracks every interaction, identifies knowledge gaps, enforces editorial governance, and surfaces insights for administrators. The layer that makes the system learn.

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Capabilities
What the platform
actually does.
  • Federated Persona Network. Autonomous digital presences for every destination actor, coordinated from a single governance layer.
  • Multi-layer Knowledge System. Shared facts, provider content, and per-persona memory. Always consistent, always current.
  • Governance and Editorial Control. Policy enforcement, approval queues, escalation protocols, full audit trail.
  • Business Intelligence. Every interaction tracked as a structured event. Analytics at persona, destination, and programme level.
  • Knowledge Gap Detection. The system identifies topics where the knowledge base is incomplete relative to actual audience demand. It requests what is missing.
  • Multi-channel Execution. Social, messaging, voice. All coordinated from a single orchestration layer.
  • Onboarding System. Guided configuration for new actors joining the destination network.
  • Administrative Dashboard. Multi-role control plane for administrators, destination managers, and individual providers.
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In Practice
What it looks like
for a destination.
A visitor asks, via messaging, about traditional food experiences near Valletta. The relevant persona recognises the query, retrieves content from the knowledge base, generates a response in its own voice, and publishes it. The interaction is logged. The business intelligence layer notes that food-related queries in that area have increased 40% this month. The system flags a content gap and requests additional information from the relevant providers.

No human reviewed this interaction. No human needed to. The governance layer ensured the response was within scope, consistent with the destination's stated facts, and aligned with editorial policy.

This happens for every actor, every channel, every day.
The destination sees

A unified dashboard. Every persona's performance. Every knowledge gap. Every pending approval. One view of the whole ecosystem.

The visitor experiences

A destination that responds, that knows its territory, and that speaks with confidence. Regardless of which actor they interact with.

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First Deployment
Malta.
The laboratory.
The Malta Destination Intelligence Programme deploys the full Bepi stack in a live destination environment. It brings together tourism authorities, local providers, technology partners, and research institutions under a single collaborative framework.

The programme runs for 24 months. It produces a validated reference architecture, a set of published research outputs, and a replicable model that other destinations can adopt.

Malta is both the programme's laboratory and its first showcase.
Why Malta

Compact, multi-stakeholder destination ecosystem. Strong institutional appetite for innovation in tourism. Favourable conditions for European and Maltese public R&D co-financing.

Why Now

The architecture is validated. The technology is ready. The funding landscape for applied AI in tourism is open. This is the right moment to establish a reference deployment.

What Comes After

Malta validates the model. Subsequent destinations licence the SaaS product at full market rate, with Malta as the reference case.

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Programme Structure
Not a purchase.
A co-building.
Partners are not buying a product. They are co-building a field. The programme is designed to qualify for European and Maltese public research funding, with private partners contributing alongside public co-financing.
Public Co-financing

The programme is structured to align with Horizon Europe, ERDF, and Maltese research funding instruments. Co-financing reduces individual partner exposure significantly.

Private Partnership

Sponsors and destination partners contribute alongside public funding. Contributions may qualify as matched or in-kind funding under applicable rules.

Research Output

The programme produces academic publications, a practitioner guide, a public case study, and a replication framework. Partners are credited in all outputs.

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Partnership
Three roles.
One programme.
Partner Role Who it is for What you contribute What you receive
Founding Destination Partner DMOs, tourism authorities, ministries, destination bodies Data access, institutional knowledge, validation participation Full platform access, governance seat, attribution in all outputs, priority access to research
Programme Sponsor Companies, foundations, or institutional bodies with an interest in applied AI in tourism Financial contribution, network access, participation in public communications Named sponsorship, strategic steering participation, early access to platform and research outputs
Research Partner Universities, research centres, think tanks Academic evaluation, independent validation, co-authorship Co-authorship of publications, access to operational data, joint dissemination activities
The programme is open to a maximum of three Founding Destination Partners and two Programme Sponsors.
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Programme Work Packages
24 months.
Five work packages.
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Timeline
From intent
to live.
Apr – Jun 2026
Partner Onboarding. Letters of Intent, Partnership Agreements, governance framework, initial discovery sessions.
Jul – Sep 2026
Platform Setup. Full configuration, knowledge base population, persona validation in staging, channel integrations live.
Oct 2026
Activation. All personas live. Business intelligence tracking active. Research baseline data collection begins.
Oct 2026 – Sep 2027
Live Operations. Two validation cycles. Interim research findings. Platform refinements. Partner reviews.
Oct – Dec 2027
Dissemination. Final research report, practitioner guide, public case study, conference presentations, replication framework.
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Next Steps
Let's build
the reference.
We are scheduling initial conversations with prospective partners through May 2026.

If you are interested in learning more, requesting a deeper briefing, or discussing partnership terms, contact:
Contact
Angelo Pallanca
Chief Executive Officer, PiirZ Digital
angelo.pallanca@piirz.com
piirz.com
This document is confidential and intended solely for prospective programme partners.  •  PiirZ Digital  •  April 2026
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