DARIVIA
Powered by DTI · Decision Trajectory Intelligence

Your brand’s personal expert
inside AI platforms

DARIVIA helps your customers understand what suits them, choose with confidence and receive personal guidance before and after purchase.

Your business gains an understanding of their needs and why they consider, choose or reject your products and services.

Start with a ready-made app under your brand or connect your existing app.

Discuss your brand’s integration
The missing expertise

A smart conversationalist is not yet an expert consultant

AI can hold a conversation, explain features, compare products and make a persuasive case for a recommendation. But that is not enough to guide someone consistently toward a confident decision.

The ability to reason about a choice does not mean an app structures its consultation like a professional expert.

An expert uncovers what matters, keeps the reasons for a choice in focus, and helps resolve conflicting priorities. Their recommendation reflects a coherent understanding of the customer and their task – not just the latest message.

A customer profile containing saved attributes, preferences and past outcomes does not, by itself, provide this way of working.

DTI is being built to give AI apps the depth of a highly skilled personal consultant in the luxury segment.

Expert understanding in practice

How understanding the customer changes the recommendation

1. The request

One watch for everyday wear. A budget of around €5,000.

A conventional selection based on size, style and brands produced no options that sparked visual interest.

2. What mattered

Status through design and craftsmanship, without a loud logo. Recognition among connoisseurs, rather than complete obscurity.

Better to wait than settle for a weak compromise.

3. The agent’s response

“Stop searching by silhouette. Look for the material and craftsmanship of the dial.”

“The absence of a strong ‘no’ is not yet a ‘yes’.”

The profile clarified the apparent contradiction: status mattered, but overt branding did not.

The outcome: three alternatives the customer liked, a step-up option, and a recommendation to revisit a variation of the reference model.

Based on a real watch purchase. Context was gathered using the DTI methodology and applied by a specialised AI agent without retraining.

Value for everyone involved

Better conversations.
More confident decisions.

For customers

Confidence in their choice

More than a list of suitable options: support in reaching a confident decision.

Customers understand why an offer fits their task, what they gain and which trade-offs they accept. The recommendation makes the desired outcome tangible, in the language of their own values.

With the customer’s permission, their preferences and experience can inform future conversations with connected apps.

For brands

Expert service and consumer understanding

DARIVIA helps your app explain the value of an offer in terms that matter to each customer. Your business gains insights into customer needs and the reasons behind consideration, choice and rejection.

These insights help you improve your assortment, positioning and customer experience.

For app developers

Expert capabilities for your app

Connect to DARIVIA for DTI’s expert method, an authorised Consumer Profile and business intelligence.

Keep your product, catalogue and commercial workflows.

From conversation to intelligence

How it works

How DARIVIA worksA customer speaks with a brand AI agent inside ChatGPT. DARIVIA receives a choice-event graph through the app's MCP tools. DTI interprets these events to develop a Consumer Model held within DARIVIA. The app receives an expert strategy and an authorised interpretation called the Consumer Profile. The brand receives Consumer Intelligence and Market Consumer Intelligence through an API, not the model itself. Customer Brand AI agentInside ChatGPT Dialogue DARIVIATrajectories andConsumer ModelDTI: interpretation and application Expert strategy andauthorisedConsumer Profile The app’sMCP tools To DARIVIA:choice-event graph BrandConsumer IntelligenceMarket ConsumerIntelligence APIBusinessinsights

Swipe horizontally to view the full diagram.

One expert method across brand apps. The consumer model stays within DARIVIA; its authorised interpretation supports continuity of understanding across connected apps. No separate product version for each client.

Two ways to connect

One DARIVIA platform.
Two ways to bring it to your customers.

Start with a white-label app

[Your brand] Client Advisor

An app template under your brand’s name and identity, connected to DARIVIA and powered by DTI. Personal guidance before and after purchase: from discovery, selection and comparison to purchase assistance, order support and after-sales care.

Optional connectors for brand knowledge, product catalogue, CRM, order management and customer support. Start with brand knowledge and a simplified catalogue, then add further integrations as needed.

Connect your existing app

Connect your app to DARIVIA while retaining its interface, integrations and commercial workflows.

Access DTI’s expert method and the authorised Consumer Profile to support customer decisions and maintain continuity across interactions. Your business receives consumer intelligence.

Both routes connect to the same DARIVIA platform, powered by DTI.

For developers

Connect your app to DARIVIA.

Start with the white-label template or connect your existing app. Our initial implementation focuses on ChatGPT. DARIVIA runs as an external platform, with DTI as its core technology.

1. White-label template

[Your brand] Client Advisor is designed with a connection to DARIVIA. Configure the template for your brand and optionally connect your systems using the template’s connectors.

Optional template connectors

The planned MVP connector set covers five areas:

  • Brand knowledge: brand information, policies and product care.
  • Product catalogue: product information, specifications, variants and prices.
  • CRM: customer relationships and interaction history.
  • Order management: purchases, order status, delivery and returns.
  • Customer support: service requests and handoff to a human specialist.

Start with brand knowledge and a simplified catalogue, then add further integrations as needed. Available data and operational capabilities depend on the integrations enabled.

These connectors are a starting point, not an architectural limit. Additional integrations can be added over time, such as loyalty programmes, consultation booking, service history or product configurators.

2. Your existing app

Keep your app’s interface, brand-system integrations and commercial workflows. Add a connection to DARIVIA within your own app.

App connection

Your app uses MCP tools to retrieve expert guidance and an authorised Consumer Profile, and to submit event graphs. A server-side SDK is optional. Profile access requires a sign-in and permission flow.

From your app to DARIVIA

A graph of events related to the customer’s choice and experience, extracted from the dialogue between the LLM and the customer. The LLM builds the graph according to DTI’s rules, preserving the meaning of events and the relationships between them.

From DARIVIA to your app

An expert consultation strategy and, on request, an authorised Consumer Profile: an interpretation of the consumer model for customer guidance. The model itself stays within DARIVIA. Business intelligence is available to the brand through a separate API.

Data and customer control

Relevant context. Controlled access.

The model stays in DARIVIA

DARIVIA creates, stores and develops consumer models from permitted choice events, using DTI. The model itself is not transferred to the host LLM, the brand or the user.

Incoming data is checked for structure, permissions and direct identifiers. Names, contact details, delivery addresses and payment details are excluded from the consumer model.

The profile supports service

The host LLM and user receive a Consumer Profile on request, subject to permissions. This is an interpretation of the model, designed to support personal guidance.

The design includes controls to review and correct the profile, authorise connected apps, revoke access and request deletion. Access to a brand account requires separate authentication with the brand.

Business insights and permissions

Brands receive business interpretations: Consumer Intelligence about their buyers and Market Consumer Intelligence across DARIVIA’s population of anonymised models.

Personalisation, analytics and service improvement, including training the DTI core, are disclosed purposes, subject to the applicable permissions and legal basis. Connecting a profile does not grant access to brand systems.

DARIVIA does not store or reconstruct the full conversation.

Rooted in real practice

A methodology shaped by expert selling

DTI is grounded in real, individual consultations in a bespoke atelier, transformed into a proprietary methodology for AI-assisted consumer choice.

We are bringing the depth of an expert consultation into a digital product – from understanding the customer to a recommendation they can confidently accept.

A luxury consultant and customer discussing suit fabrics, with wool and pinstriped cloth samples on the table.

DTI’s expert method helps uncover what drives a customer’s choice. Brands gain more than preferences: they understand the reasons behind decisions – why an offer appeals, raises doubts or is rejected.

Consumer choice analytics

Understand your customers.
Recognise wider consumer patterns.

“It fits the customer” and “the customer is considering buying it” are different outcomes.

Consumer Intelligence explains the needs and choices of your customers: why they consider, choose or reject your products and services.

Market Consumer Intelligence reveals patterns, trends and relationships across DARIVIA’s entire population of anonymised consumer models, translating them into business insights.

Using synthetic consumer models, we explored how customers choose among 680 luxury watches from six brands – revealing shortlist patterns, overlapping product roles and shifts in choice.

Three findings from luxury-watch assortments: 74% achieved strong fit but never entered a shortlist; 16% showed repeated intra-brand role overlap; 10% of previously shortlisted models lost presence in a strong trend scenario. Synthetic research across 680 watches.

1. Assortment coverage

Which needs does the assortment meet, where are the gaps, and which suitable products never reach the shortlist?

2. Product roles

Why does one product win, another become a compromise, and a third lose? Where do products compete for the same place on a shortlist?

3. Response to change

How do changing contexts and priorities reshape the shortlist? Which products retain, lose or gain a place?

For e-commerce leaders

Personal guidance before and after purchase.

Give customers more than a filtered product selection. Help them understand what suits them, compare meaningful alternatives and make confident decisions, with continuity of guidance after purchase.

Start with a focused brand pilot. Choose a customer journey to improve, from product selection to post-purchase support. Use the [Your brand] Client Advisor template or connect your existing app to DARIVIA.

Your contribution: a pilot owner, knowledge about your brand and the product information needed for the chosen scenario. A simplified catalogue can be enough to begin; we agree on any additional integrations together.

What we evaluate: usefulness of recommendations, confidence in the choice, task completion or support quality. Where purchase data is available, we compare conversion with a control group.

We agree on success criteria before the pilot and review results and cost of service before deciding on continued use. Consumer analytics develops as a sufficient body of models accumulates.

Discuss a pilot
An e-commerce leader and an expert discussing fashion products and customer-choice reasons on a screen.
Where we are today

Preparing public access.
Working towards brand pilots.

Our working prototype, DARIVIA - Personal Advisor, connects to the DARIVIA platform and demonstrates DTI’s expert method. We are working on its publication in ChatGPT and seeking pilot commitments from brands.

DARIVIA - Personal Advisor

Guides you through complex decisions with professional expertise, shaped around your goals, values, lifestyle, preferences and individual needs.

Learn about the advisor

Description

Guides customers through complex choices like a professional expert: helps them understand what truly suits them and proposes well-founded options based on their goals, values, lifestyle, preferences and individual characteristics.

Designed for choosing products, services, destinations, providers, plans and packages that traditionally require expert guidance.

Let’s talk

Let’s discuss your brand’s next step.

Tell us about the customer experience you want to improve. We can explore how to connect your brand, define a pilot or discuss a development partnership. You can also request the research or get in touch about investment.

Founder and Chief Architect of DARIVIA. Creator of DTI’s methodology, standard and architecture. Combines his own expert consulting practice with the development of personalisation systems.