Financial Services

Better lending, compliance, and portfolio decisions with AI.

60%
productivity gains from agentic automation
McKinsey
$1T+
potential value from AI in banking
McKinsey

Financial institutions face increasingly complex regulatory environments while managing portfolios across dozens of interconnected systems. Loan origination data, compliance databases, trade monitoring systems, and risk models each contain pieces of the decision puzzle – but rarely speak to each other.

78% of financial services firms acknowledge limited production AI experience despite massive investment. metricsIQ’s decision-centric approach and multi-system integration work address the structural barriers that prevent generic AI from working in regulated financial environments.

The Platform in Action

mDecide — Sense Phase

Agents monitor operational signals continuously and surface what needs attention. The decision owner frames the situation and sets what to investigate.

mDecide — Sense Phase

mDecide — Learn Phase

The team reviews outcomes against expectations and captures the reasoning behind the call. The playbook updates so the next decision starts smarter.

mDecide — Learn Phase

mDecide Admin — Portfolio View

Every operational decision running across the organization in one place, with status, value at stake, and where human attention is needed.

mDecide Admin — Portfolio View

mDecide Admin — Decision Value Loops

Admins author the templates that define how each recurring decision gets made, including which steps the human owns and which the agents handle.

mDecide Admin — Decision Value Loops

See the Value in Your Operations

Evaluating AI partners is high-stakes. In 45 minutes, we will walk through our methodology with your specific operations — so you can assess fit before committing to anything.

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