Source Fact
Mimasa retrieves approved data or a document passage. The user can inspect its origin.
Give advisers a clear view before every client conversation. Mimasa AI brings approved client, household, portfolio, product, market, and interaction data into one governed workspace.
Use AI in wealth management to prepare reviews, surface changes, draft client-ready material, and coordinate follow-up. Your team controls every recommendation and communication.
Human-led decisions • Source-linked outputs • Governed workflows • Deployment choice

An adviser often needs information from many places before a review. Mimasa turns that preparation into a guided workflow.
It adds intelligence to existing financial advisor tools. It does not replace CRM, planning, portfolio, or books-and-records systems.
Wealth management covers advice, planning, investment services, and long-term client relationships. Mimasa does not provide those regulated services.
It collects approved data, explains changes, routes tasks, and drafts material. Qualified people review advice, suitability, portfolio actions, and external communication.
For firms advancing digital wealth management, Mimasa connects fragmented work without replacing core systems.
Mimasa is not a wealth manager, investment adviser, broker, custodian, robo-adviser, rebalancing engine, trading platform, or system of record.
It supports the information and workflow around authorised professionals and specialist systems.
This five-part view supports wealth management analytics without hiding the evidence.
| View | What Mimasa Can Organise | How The Adviser Uses It |
|---|---|---|
| Client And Household | Approved profiles, relationships, preferences, and contact history | Understand who is affected |
| Goals And Constraints | Recorded objectives, time horizons, policies, and restrictions | Prepare questions and review context |
| Portfolio Signals | Holdings data, allocation changes, performance inputs, and exceptions | Focus attention where review is needed |
| Interactions And Documents | Meeting notes, messages, agreements, and approved knowledge | Recall context with source links |
| Tasks And Service | Open requests, commitments, deadlines, and approval status | Coordinate the next action |
Mimasa retrieves approved data or a document passage. The user can inspect its origin.
The platform summarises or compares the fact. Generated text stays distinct from source data.
An authorised person edits and approves the briefing, report, task, or message before use.
This source-to-approval pattern makes AI wealth management practical for regulated work without misrepresenting Mimasa as a wealth service.
Build a briefing from authorised portfolio, client, market, product, and interaction data. Highlight change and attach source links.
Watch approved data for material changes, missing inputs, service events, or policy exceptions. Route every signal to a person.
Turn approved notes or transcripts into a structured summary. Extract commitments and require review before external communication.
Combine approved data, commentary, and templates for automated client reporting. Route exceptions and drafts to named reviewers.
Search approved documents and datasets. Return concise answers with source links, role access, and tool limits.
Classify requests, gather context, create tasks, and track resolution. Escalate sensitive or incomplete cases.
Portfolio reporting automation makes reporting easier to prepare and govern. Official calculations and records stay with specialist systems.
Mimasa complements portfolio reporting software. It does not replace performance calculation or accounting.
Wealth management data analytics can reveal patterns across clients, service activity, and approved portfolio data.
A dashboard may show clients with an upcoming review and incomplete information. An AI workflow can prepare tasks, retrieve documents, and draft an internal briefing.
The adviser checks the evidence and chooses the action. This is how AI for wealth management supports judgement.
Advice, suitability, trade instructions, allocation changes, and client communication retain a clear human owner.
Generative AI in wealth management can summarise authorised material, draft report narrative, explain data changes, and prepare meeting follow-up.
Source grounding and review steps help keep the output reliable.
Agentic AI wealth management workflows can retrieve context, check inputs, draft an output, open a task, and request approval.
Each agent operates within assigned tools, data access, and stopping rules.
Explore Mimasa AI AgentsMimasa helps a firm apply its controls. It does not make the firm compliant by itself.
Move from pilot to controlled production. Set baselines in your own environment instead of assuming a generic return.
Design A Governed WorkflowStart with a repeatable adviser or client-service workflow.
Identify the systems, documents, and datasets that may be used.
State what AI may prepare and what a person must decide.
Connect retrieval, analysis, drafting, tasks, and approvals.
Include missing data, conflicts, access limits, and escalation paths.
Review quality, adoption, exceptions, and control performance.
Mimasa works around approved specialist systems. It does not claim that one AI layer replaces them.
| Existing Capability | Its Role | Mimasa AI Role |
|---|---|---|
| CRM And Client Records | Holds relationship and interaction data | Retrieves approved context for briefings and workflows |
| Portfolio And Accounting Systems | Maintains positions, transactions, and calculated results | Uses authorised outputs for analysis and narrative preparation |
| Planning And Suitability Systems | Supports regulated planning and suitability processes | Prepares evidence and tasks without making the decision |
| Document Repositories | Stores policies, agreements, research, and client files | Finds relevant content and returns source-linked answers |
| Communication Tools | Supports adviser and client interaction | Drafts and routes approved content through review |
| Reporting Tools | Produces calculated data and formal reports | Adds narrative, exception handling, and workflow control |
Connect client service, evidence, analytics, and review without changing which system owns the record.
Search approved research, monitor portfolio events, and prepare evidence-linked review briefs.
View All Use Cases →Clear answers about adviser intelligence, reporting workflows, source grounding, and human control.
Bring client context, portfolio signals, approved knowledge, and follow-up work into one governed AI workflow.