All work

FWP

Financial Advisory · Investment & Portfolio Management Platform

Portfolio & Sub-Client Investment Administration

FWP administers fund onboarding, due diligence and investor and sub-client portfolios. Datics works on the AI-assisted onboarding and due-diligence layer, document ingestion and analysis, comparative fund landscapes and the access model that keeps admin teams, investors and sub-client entities separated.

Status
Ongoing
BrownfieldAgentsDocument intelligenceLangGraph

The starting point

The platform carries fund onboarding workflows, multi-step due diligence with structured data entry, investor portfolio visibility and administration of sub-client portfolios, with distinct roles for Super Admins, Standard Admins and Investors.

What had to change

Onboarding and due diligence relied on manual data entry, while the insight needed for diligence sat inside documents, decks and meeting notes rather than structured fields.

What couldn't break

Advisory teams, investors and sub-client entities use the same platform, so manager-only data could not be exposed while automation was added to shared workflows.

Why this was hard

Extraction had to feed structured diligence forms, scoring and document linkage inside an operating platform with layered permissions across Super Admins, Standard Admins, Investors and sub-client entities.

What Datics changed

An AI-driven onboarding and due-diligence assistant that extracts insight from documents, decks and meeting notes, pre-fills forms and provides initial scoring, connected to a multi-step structured due-diligence engine with validation, scoring and document linkage.

Delivered alongside comparative fund landscapes, investor and sub-client portfolio management, controlled sharing and access permissions, and a tasking layer for diligence operations, reviews and pipeline monitoring.

AI onboarding and diligence assistant

Auto-fills forms from submitted material and provides initial scoring.

Structured due-diligence engine

Multi-step diligence with data validation, scoring and document linkage.

Document ingestion and analysis

Extracts insight from documents, decks and meeting notes.

Controlled access

Sharing and permissions for admin teams, investors and sub-client entities without exposing manager-only data.

Platform in action

Due-Diligence Assistant

AI extraction, form pre-filling and scoring.

Landscapes

Comparing funds across impact themes, metrics and characteristics.

Portfolio Administration

Investor portfolios and sub-client portfolio administration, including favourites, allocations and performance view.

What changed

Automated extraction and structured guidance reduced manual due-diligence effort, data population across onboarding and diligence steps became more accurate and consistent, and advisory oversight was centralized without duplicating access across user types.

Manual effort
Reduced due-diligence effort through automated extraction and structured guidance
Data quality
Accurate and consistent data population for onboarding and diligence steps
Access model
Centralized advisory oversight without duplicating access across user types

Under the hood

Datics role
AI product engineering, agent and workflow design, document intelligence and production delivery.
Integrations
Document, deck and meeting-note ingestion feeding structured diligence workflows.
Deployment
Client-operated environment.
Production boundary
Role-based access for Super Admins, Standard Admins, Investors and sub-client entities.

Technology

React.jsNest.jsFastAPILangGraphCopilot

What this unlocked

Scalable investor and sub-client portfolio handling with full visibility and control, and improved operational governance through tasking and landscape views.

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