No-code AI agents for a lean investment office

German single-family office set out to make its operations more scalable by taking repetitive, manual work off its team. Intelvision analysed the office’s most time-consuming processes and built a set of no-code automation agents to run them, designed to free up several hours of senior capacity a day.

  • Time to engage: under 2 weeks
  • Team involved: 2 AI developers, 1 business analyst, consulting lead
  • Duration: 3+ months
  • Scope: Process analysis, no-code automation agents
Single-Family Office
Wealth Management
DACH
No-Code Automation
AI Agents
Knowledge Base
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About the company

Single-family office (SFO)
Germany
Lean, small senior team
Building renovation

The client is a German single-family office managing a diversified, multi-company investment portfolio across several mandates. It runs lean, with a small senior team handling day-to-day operations, and set out to make those operations more institutional and scalable by moving repetitive manual work onto automation.

Single-Family Office
Wealth Management
No-Code Automation

Project Overview

The office runs lean and founder-led, with a small senior team carrying a diversified, multi-company portfolio. A good share of day-to-day time still went into repetitive, manual tasks and follow-ups — the natural stage for a fast-growing office, and the right moment to make routine work institutional. The goal was to automate the most time-consuming processes so senior time goes to decisions and portfolio value rather than admin.

Intelvision began by analysing the office’s processes to find the most manual, most time-consuming ones, then designed the automation approach and built it with its own AI developers. The first iteration is already live: three no-code agents — a Meeting agent, a Knowledge Base agent and a Financial Reporting agent — that take over recurring work. The agents are also designed to double as the foundation for a larger operating system the office plans to add on top later.

Challenges

01

Repetitive work worth automating

A large share of day-to-day time went into recurring manual tasks and follow-ups, necessary but low-value work and a clear candidate to hand to automation.

 

02

Information spread across tools

Knowledge lived across the knowledge base, email and communication, so there was a clear opportunity to make any answer findable in one place.

03

Senior time better spent on strategy

As a lean, founder-led office, it set out to move routine work off the senior team, so those hours go to portfolio and growth instead.

 

Solution

Intelvision mapped the office’s manual, repetitive processes, ranked them by time cost, and built a set of no-code automation agents to take over the heaviest ones, delivered by its own AI developers alongside the business analysis and technical approach.

The engagement included:

  • Process analysis: a structured review of the office’s most manual, most time-consuming processes, turned into a prioritised automation plan.
  • Solution design and build: the technical approach for the automation agents, designed and built by Intelvision’s own AI developers.
  • A foundation to build on: the agents are designed to double as the base layer for a larger operating system the office plans to add later.

The automation agents:

  • Meeting agent — captures and structures what happens in meetings so nothing has to be re-done by hand.
  • Knowledge Base agent — makes information across the knowledge base, email and communication quickly findable.
  • Financial Reporting agent — takes over recurring reporting work.

Tech stack

AI Automation
n8n
GPT-5.4
LlamaParse
PostgreSQL
Neo4j

Project features

  • Analysis of the office’s most time-consuming manual processes
  • A prioritised plan for what to automate first
  • Meeting agent for capturing and structuring meeting output
  • Knowledge Base agent for fast search across knowledge base, email and communication
  • Financial Reporting agent for recurring reporting
  • A no-code approach, designed to be maintained without heavy engineering
  • Designed as the foundation for a later operating system

Let’s find what’s slowing your team down and build the process foundation for sustainable growth.

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How we solved the challenges

Took repetitive work off the team

The Meeting and Financial Reporting agents absorb the recurring tasks and follow-ups that took the most time, so the senior team no longer does them by hand.

 

Made information findable

The Knowledge Base agent is designed to pull answers quickly from across the knowledge base, email and communication, instead of hunting through scattered sources.

 

Started with analysis, not headcount

Rather than throwing people at the problem, Intelvision analysed where the time actually went, then put its own AI developers onto targeted automation for the heaviest processes, keeping the approach no-code so a lean team can maintain it.

~3–4 hours a day freed up for the principal
Knowledge base structured and searchable in one place
Automated reporting recurring reports and meeting notes, hands-off
Reusable foundation for a larger operating system later