The mDecide Platform

Where humans and agents make important decisions together, and learning from every interaction compounds.

mDecide is the platform behind every metricsIQ engagement. It runs the human + agent workflows your operators, engineers, and analysts already need. Agents do the data work, your team makes the call, and the platform captures what was decided and what happened next.

The result is a system that gets sharper with every decision, and stays inside your enterprise security, governance, and compliance boundaries.

How the Platform Is Structured

Most AI platforms ask you to trust an agent’s output. mDecide is built around a different premise: humans pressure-test decisions and value within each loop, and agents do the work in between.

  • Humans frame the decision. What needs to be decided, by when, with what stakes.
  • Agents pull the data, assemble evidence, and surface options. Across 5 to 20+ enterprise systems per workflow.
  • Humans review, challenge, and decide. With full context, full provenance, and the option to override.
  • The platform captures the decision and the outcome. So the next decision starts smarter than the last.

This is what we mean by the Decision Value Loop.

What the Platform Includes

Decision Value Loop Engine

The execution surface where a real decision actually gets made. Sense, Analyze, Decide, Act, Learn. Multiplayer-by-default, with structured decision capture, alternatives, overrides, and outcome tracking built in.

Decision Packs

Pre-configured collections of agents, tools, data connections, and processes for specific industry decisions. Each pack ships with the integrations, the ontology, and the decision structure already wired.

Adaptive Ontology Tooling

Data integration, entity resolution, and shared business context across the systems your decision actually touches. What lets a decision in one workflow inform a decision in another.

Bring Your Own Agent

Standards-based integration via MCP and A2A, with a governance wrapper that gives your agents the same audit, observability, and decision capture as the agents we deliver.

Operational Layer

Monitoring, alerting, continuous optimization, and Portfolio Performance: a single view of every decision the platform is running and what is getting better.

Why mDecide?

Months, Not Years

Production AI in months because the platform we deploy is the same platform we have already built and operate. Integration scaffolding, decision capture, and governance out of the box.

Decisions Compound

Foundation models start every conversation from zero. mDecide remembers what your team decided and what the result was. Every recommendation, override, and outcome makes the next decision sharper.

Single-Tenant

Every customer gets a dedicated instance. Your data, your decisions, your ontology stay in your environment. This is how serious enterprises run AI on regulated work.

Model Flexibility

mDecide is not locked to one AI vendor. Use the foundation models that fit your needs today, and switch when better options emerge.

No Lock-In

Open standards (MCP, A2A, OASF) and integration with the systems you already trust. You always own your intelligence layer. Everything we build is portable.

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
39%
of companies have AI in production at scale
MIT Sloan, 2026
60%
touch time reduction
McKinsey, 2025
50%
fewer errors in report generation
McKinsey, 2025

Explore How It Works

Decision Value Loops

A continuous sense-analyze-decide-act-learn cycle that gets smarter with every decision.

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Adaptive Ontology

Creating shared business context across data, systems, and workflows.

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Open Standards & Ecosystem

Built on open standards. No vendor lock-in.

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Agentic AI Value Advisor

Every engagement begins with quantified projections. Our Value Advisor methodology turns your operational and financial data into a prioritized AI roadmap with risk-adjusted EBITDA impact scenarios, ready for the investment committee in 4-6 weeks.

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Ready to Get Started?

Sit down with our senior principals — the same people who deliver engagements. In 45 minutes, we will identify your highest-value AI opportunities and size the impact. No sales pitch. Real analysis.

Consult with an AI Value Expert