For the Principal, the Family Office director, the CFO or wealth controller and the group’s financial lawyer. Automated executive summary for the Principal, systematic detection of anomalies in intercompany expenses, RAG assistant over internal documentation and mitigation of generational continuity risk. Data on-tenant, full confidentiality.
Family office and wealth in Spain reach 2026 with mixed digital maturity. Family offices that have implemented Business Central together with dvproject-patrimonio and dvfinance have a solid accounting and operational foundation: multi-company consolidation, holding company management, real-estate management with lease contracts and CPI, financial portfolio tracking, periodic reporting to the Principal and tax traceability. The data raw material is there and is usually well configured.
The gap appears, as in other sectors, on top of the data. The monthly executive summary for the Principal is still composed manually by the CFO or controller, pulling BC data, dvfinance data, external sheets with the private bank portfolio and a narrative drafted under pressure in the first days of the month. Systematic review of intercompany expenses looking for duplicates, off-pattern amounts or atypical suppliers is unmanageable by hand and only partially covered in the annual audit.
Searching the FO’s internal documentation (contracts signed over decades, deeds, agreed CPI clauses, letters to the Principal, board minutes, tax planning) still depends on specific people who know the archive. Even with a well-structured SharePoint, retrieving a specific clause from an old contract can take hours. The Retrieval Augmented Generation layer over the indexed repository answers in seconds with verbatim quote and source document traceability.
Family offices also face a structural risk that AI can mitigate: generational continuity of knowledge. A large share of operational, tax and historical FO know-how sits in the head of two or three key people. Their departure means a context loss that’s hard to recover. A well-built internal RAG assistant doesn’t replace those people, but it captures their explicit knowledge and makes it available to the next generation or the next team. In a sector where discretion and continuity are core values, this use case carries particular weight.
Four gaps where, with BC + the dv* wealth-management extensions and the right AI layer, the ROI is clear and the risk is low. If you recognise yourself in one of them, there is a use case to start with.
At each month-end the CFO or controller spends several days composing the executive summary for the Principal: group cash performance, variances per company, real-estate situation, financial portfolio, pending tax position. The output is usually good, but the effort is disproportionate and the risk of transcription error is high.
Automated executive close summary →A family office manages dozens or hundreds of recurring suppliers (property maintenance, professional services, utilities) spread across several companies. Systematic review for duplicates, off-pattern amounts and suppliers with atypical behaviour is unmanageable by hand. Some anomalies only surface in the annual audit, too late.
Anomalies in accounts payable →Finding a specific clause in a contract signed seven years ago, the CPI agreed in a deed, the scope of a power of attorney granted to a company or the exact content of an old letter to the Principal can take hours. The knowledge of where each document lives sits in the head of specific FO people. AI with RAG over the internal repository answers in seconds with verbatim quote.
Sector opportunity — pilot to be tailored →In many family offices, operational, tax, legal and historical knowledge is concentrated in two or three key people. Their departure or replacement implies a serious risk of context loss. An internal RAG assistant over all FO documentation doesn't replace the person, but it captures a significant share of their explicit knowledge and makes it available to the next generation.
Sector opportunity — pilot to be tailored →The AI layer sits on top of the Davisa wealth-management stack you already have, or that we deploy for you before the pilot. The following flow describes the typical architecture of a family office with the AI Studio live, with an emphasis on on-tenant confidentiality.
Three typical family office or wealth holding scenarios. These are indicative examples, not published case studies with audited figures: they show how the AI Studio lands in structures with a profile similar to yours.
Problem: CFO spends three to five days per month composing the executive summary for the Principal. The document is good but writing it eats up the CFO disproportionately, the person who should be focused on wealth strategy and the Principal relationship.
Proposed solution: Automated executive summary pilot on BC + dvproject-patrimonio + dvfinance. The system runs the monthly close, computes KPIs by company, flags variances, drafts the plain-language narrative and delivers an editable draft to the CFO on the first business day after close.
Expected result: Expected saving of 2 to 4 CFO-days per month, which on an annual basis means 24 to 48 days recovered for higher-value tasks. Reduced risk of manual transcription error. Indicative figures, to be refined in the Discovery.
Problem: Without a structured finance department, recurring invoices (maintenance, utilities, professional services) are approved with little systematic review. Duplicates, amount errors or suppliers with atypical behaviour only occasionally surface in the annual audit. The damage is already done.
Proposed solution: AP anomaly pilot on dvinvoice-hub. The model learns from the intercompany invoicing history and flags likely duplicates, off-pattern amounts and suppliers with atypical behaviour, all as a layer in front of the CFO's approval.
Expected result: Expected anticipated detection of 80% to 95% of the duplicates and amount errors that today reach the audit. Added processing time per invoice under five seconds for the AI layer. Indicative figures, to be validated against your data.
Problem: All historical FO documentation (contracts, deeds, letters, tax planning of the last 20 years) sits in SharePoint with good structure but its retrieval still depends on the FO director, who knows where each thing lives. Operational continuity against a possible replacement is a risk.
Proposed solution: Internal RAG assistant pilot on the FO's document repository. Vector indexing with Azure AI Search, connection to Copilot Studio and deployment as a conversational agent accessible to the team according to permissions. Semantic search with verbatim quote and source traceability.
Expected result: Expected 70% to 90% reduction in document search time. Significant mitigation of the operational continuity risk by capturing explicit knowledge today concentrated in people. Indicative figures, to be refined in the Discovery.
Indicative examples. Figures are confirmed in the Discovery against your actual data before committing to the pilot. Sector discretion prevents publishing references by name.
Honesty before hype. Four things AI does not solve in a family office, no matter how much Discovery we run.
Three phases of the Davisa AI Studio method, adapted to the specifics of family office: confidentiality, small team profile and the need to involve the Principal at decision points.
Discreet sessions with the FO director, the CFO or controller and the financial lawyer. Audit of the data in BC + dvproject-patrimonio + dvfinance, mapping of the confidential document repository and selection of the pilot case with KPI target. Validation of the permissions model before any indexing.
Development of the chosen case end-to-end on-tenant. Azure OpenAI deployment in your subscription, indexing with SharePoint-inherited permissions, fine-tuning with feedback from the small FO team and final validation with the Principal before going to production.
Expansion of the indexed document corpus, incorporation of new sources (private bank portfolio, market data), rollout of the next roadmap case (from executive summary to AP anomalies, or the reverse) and progressive capture of key people’s knowledge as continuity risk mitigation.
Plain-language narrative of the month’s financial performance for the Principal.
AI use caseDetection of duplicates, off-pattern amounts and atypical suppliers across companies.
BC extensionWealth management on BC: companies, real estate, contracts, CPI, reporting to the Principal.
BC extensionAdvanced financial layer for multi-company treasury, reconciliation and cash forecasting.
BC extensionAnalytical layer over BC, foundation for the KPIs that feed the automated executive summary.
SectorThe traditional sector page with the full Davisa proposition for wealth management.
BlogWhat technological profile today’s FO director needs and why AI is changing the role.
BlogHow to evaluate a BC-based wealth management platform against vertical alternatives.
HubFull catalog of use cases, sectors, method and Discovery of the AI Studio.
No. All AI infrastructure runs inside the family office's Azure tenant or a managed tenant under your contractual terms. Contracts, deeds, letters to the Principal, board minutes and wealth planning are indexed on-tenant with Azure AI Search. Embeddings are generated in Azure OpenAI Service deployed in your subscription. No documentation is sent to public OpenAI, third-party models or used for external training. Strict GDPR compliance and full traceability of which document the model consulted in each answer.
Access control is granular and inherits from the SharePoint and Business Central permissions already in place in the family office. Each user only sees and queries the documents and data they already had access to outside the assistant. The Principal and FO management have full access; the wealth controller has the financial scope; the financial lawyer has the legal scope; the administrative team has the operational perimeter. The audit log records who asked what and what the model answered.
No. AI removes low-value repetitive work (manual composition of the executive summary, document search, first-pass review of intercompany expenses) and frees up CFO or director time for strategic analysis and relationship with the Principal. The wealth, tax or investment decision stays human. A family office with AI doesn't need fewer CFOs: it needs a CFO less swamped by daily operations and more focused on the board and planning.
It depends on the case. Invoice automation and AP anomaly detection pay back from month one even with a small perimeter, because the solution cost is low and the cost of a wealth error is high. The RAG assistant over internal documentation also works in small holdings where knowledge is concentrated in one or two people and generational continuity is a risk. The automated executive summary delivers less return until the monthly information volume justifies the setup effort. The Discovery decides case by case.
The AI Studio doesn't compete with your financial consolidator or your private bank reporting platform. It integrates. The AI layer reads the live data in BC + dvproject-patrimonio (which is where you have your own accounting consolidation, the companies, the real-estate assets, the contracts), enriches it with internal documentation and composes the executive summary for the Principal, adding the private bank market data via API if you wish. The consolidator keeps consolidating; the bank keeps reporting; AI adds sector analysis and plain-language narrative on your concrete reality.
We frame the AI layer inside your current relationship with BC and dvproject-patrimonio. Your usual advisor coordinates the AI Studio engagement with the discretion the sector requires.
Talk to the team →We start with the 5-day Discovery via discreet sessions. Mapping of real data, technical assessment and prioritised roadmap so that in one week you know where it makes sense to invest, without compromising confidentiality.
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