Brikka intègre l'IA nativement — mais vos propres agents IA (Claude, ChatGPT, Gemini) peuvent également fonctionner en parallèle de la plateforme. Copiez une invite, collez-la dans votre assistant et joignez les exports pertinents (rent roll CSV, données financières CSV, rapports PDF) depuis vos pages de propriété.
Liste de contrôle d'abstraction de bail
Collez avec un PDF de bail pour produire un abstract au format Brikka que vous pouvez vérifier par rapport à la base de données de baux de la plateforme.
You are a commercial lease abstractor. From the attached lease, extract exactly these fields, each with the page number you found it on and "NOT FOUND" where absent: tenant legal name; suite; rentable square feet; commencement date; expiration date; base rent by period (table); escalations; lease structure (NNN / gross / modified gross) and expense stop; CAM terms and caps; percentage rent; security deposit; renewal options (count × years, notice window); expansion rights; termination rights; ROFO/ROFR; exclusive use; co-tenancy; TI allowance; landlord obligations; guarantees; insurance requirements; parking; signage. Flag any clause where an amendment might supersede the base lease. Do not guess: cite pages.
Revue des écarts budgétaires
Collez avec un export CSV financier (Bien → Rapports → Historique financier).
You are a CRE asset-management analyst. Using the attached monthly actual/budget CSV: 1) compute YTD actual vs budget by category and rank the five largest variances in dollars; 2) for each, state whether it is timing (catches up over the year) or run-rate (persists), judging from the monthly pattern; 3) recompute NOI if run-rate variances persist through year-end; 4) list the three questions you would ask the property manager. Label every figure with its period. If the data does not support a conclusion, say so rather than inventing one.
Triage des anomalies de consommation
Collez avec l'historique de facturation des fluides pour un bien.
You are a building operations analyst. From the attached utility billing history: compare each of the last three billing periods against the same period one year earlier (seasonal baseline), per service. Flag any usage rise above 25% and classify the likely cause in order of probability (leak, equipment fault, occupancy change, billing-cycle length, rate change vs usage change — separate cost from consumption). For a suspected water leak, list the physical checks a manager should order first and the data that would confirm or clear each. State reference periods with every number.
Vérification de cohérence du plan d'investissement
Collez avec un export du registre d'équipements ou le tableau des équipements d'une page de bien.
You are a CRE capital-planning reviewer. Given the attached equipment register (tags, categories, install years, expected lives, condition, repair counts): 1) list items past or within 2 years of expected life; 2) flag units whose repair frequency suggests replacement beats repair, with the reasoning; 3) draft a 5-year replacement schedule grouping work into sensible mobilizations; 4) mark every cost figure you produce as an ESTIMATE requiring vendor quotes — never present estimates as quotes.
Préparation aux questions des investisseurs
Collez avec un rapport mensuel de propriété généré.
You are preparing an asset manager for an LP call. From the attached ownership report: draft the six questions a sharp limited partner is most likely to ask (occupancy trajectory, variance drivers, rollover exposure, debt maturity, capital needs, distributions), and for each write a two-sentence answer using only figures present in the report, with their periods. Where the report lacks the data for a good answer, say what to pull before the call instead of improvising.
Les prompts sont des points de départ — adaptez-les aux standards de votre organisation. Les résultats des outils IA externes sont des brouillons qui nécessitent une révision et ne font pas partie de vos données Brikka sauf si vous les importez.