Insights & Ideas

Thinking on data, AI, and the future of asset management — from the team building the platform.

WHAT YOU RENT, AND WHAT YOU OWN Model A Model B Open weights Next The layer you control Your data is your wealth Outcomes and risks
AI Strategy

The model is rented. Three things your AI strategy has to own.

The model you pick will be retired within eighteen months. Three things the layer underneath it has to do — and what we’ve learned building them for Australian asset managers.

SAAS Licence Implementation Configuration Integration Maintenance SERVICE AS SOFTWARE Outcome
Service as Software

Software as a Service is broken. Here’s what comes next.

SaaS sells you a tool. Nobody sells you the outcome. A structural argument for why the SaaS model fails asset managers — and what Service as Software replaces it with.

WHERE THE WEEK GOES 72% ADMIN BEFORE AUTOMATE backend feeds 75% SELLING AFTER REV.
Distribution & Sherpa

How AI helps distribution teams close more deals

15+ platform and registry feeds consolidated automatically — from days of manual reconciliation to under an hour. Here’s how backend automation unlocks 40% more client meetings, with no new headcount.

ChatGPT Claude Gemini Grok Perplexity Llama THE LLMs orchestrated by Sherpa by Datafabric GPT-5.4 Opus 4.6 Gemini 3.1 Grok 4.20 Sonar Pro Llama 4 ORCHESTRATED
AI & Sherpa

ChatGPT, Claude, Gemini, Grok, Perplexity, Llama — and Sherpa: why asset managers need the right LLM for each task

Six major LLMs, six different strengths. Benchmark comparisons, honest assessments — and why Sherpa orchestrates the right model for every asset management task.

BREADTH DEPTH TRUST
Data Quality & AI

Why data quality is the first step to AI readiness for asset managers

60% of AI projects will be abandoned due to lack of AI-ready data. The firms that succeed with AI are never the ones that started with a model — they started with their data.

Data & Distribution

Unlocking the power of data in asset management distribution

79% of marketing leads never reach sales. How data centralisation and AI are closing the gap for asset managers — and why generic CRMs fall short.