The firms that lead the Intelligence Era won't be those with the most AI. They'll be the ones whose data is truly ready for AI.
Every firm building for investors and investment professionals is now running the same experiment: fold AI into the platform, and hope the output holds up. But that experiment has a breaking point: the more a platform lets AI decide, the less room there is for an answer that merely sounds right. Run enough decisions through an AI layer, and even a small margin of ungrounded output compounds into a major issue. For firms allocating capital or serving investors and investment professionals, an AI-generated answer that can't be traced back to source is a real liability.
Returning to the Communify Intelligence Experience and speaking with Finextra TV, Leon Saunders-Calvert, President and Managing Director at Economist Enterprise, was direct about why traceability is what matters most right now. And as more firms plug their data into agentic AI, the standard for what counts as decision-ready keeps tightening. Here's what meeting that standard actually looks like.
How to Get Your Financial Data Ready for Agentic AI
Saunders-Calvert has spent the past year watching AI move from an experimental phase to something firms now build their platforms around, driven in large part by how quickly large language models have grown more capable. And he's clear on what has to be true before firms can trust AI with real decisions. Here's what that looks like in practice.
- Audit and verify your data: Saunders-Calvert is clear that this has become non-negotiable. Firms need data that's trusted and accurate, and clarity on where they need deterministic, decision-ready output rather than something that risks guessing – and hallucinating – along the way.
- Start with one governed use case, not several at once: Firms that try to stand up multiple agentic AI use cases simultaneously are more likely to stall, because each one needs its own data governance and traceability work, and splitting that effort across several unproven workflows means none of them gets enough rigor to actually be trusted. The ones that move fastest usually start with a single high-value workflow – something like client reporting or portfolio insights – get the traceability right away, and expand from there.
- Make traceability a procurement requirement: The bar for trustworthy AI that Saunders-Calvert lays out – deterministic and decision-ready, not just plausible-sounding – doesn't change just because the AI came from outside your firm. Before you bring in any platform, know whether its outputs can be audited back to a specific, governed source. Communify holds itself to that same bar through a single, governed Knowledge Base every output can be traced back to.
- Unify your data before you scale AI on top of it: That means one source of truth instead of duplicate records across systems, consistent formats instead of every team storing things its own way and a single place AI can pull from instead of stitching answers together from five different databases. Communify's Proof of Dimension (P.O.D.™) framework is built to work with data in that state – already unified, so the strategic use case has something solid to stand on.
Communify: The Infrastructure That Powers Trusted AI
None of this works as a bolt-on. Communify's platform and Component Tech™ sit on a single, verified foundation – exactly what Saunders-Calvert says has to be true before AI output can support sound decision-making. That foundation is already doing the work: Communify delivers 9.2 million AI insights a day, each one able to be audited.
- MIND™ AI and the Proof of Dimension (P.O.D.™) Framework – applies AI on top of a single, unified Knowledge Base, so every output stays traceable to a verified source instead of an unverifiable guess.
- ClientScore™ – turns unified client data into needs-based segmentation, so firms can prioritize which investors and investment professionals need attention first, using data rather than instinct.
- Intelligent Dialogues™ – makes personalization repeatable at scale, without a manual process behind every interaction.
- Signals and Stories – convert raw data into a specific next best action for a user or a team, rather than a dashboard someone still has to interpret.
Get Your Data Ready and Lead with Agentic AI
The choice in front of firms right now isn't whether to adopt agentic AI. It's whether the data underneath it is unified, verified and governed enough to support the decisions firms actually need to make. Leon Saunders-Calvert's framework for that is straightforward: be deliberate about the partners you work with, the data you commit to a use case and where you genuinely need a deterministic, decision-ready answer rather than one that merely sounds right. Communify exists to close that gap – unifying the data, applying MIND™ AI with P.O.D.™ verification and putting the result in front of investors and investment professionals as a next best action, not a risk.
To see how we can help your firm make agentic AI a verified asset and a dependable part of your decision-making, book a demo with Communify.
