What is decision intelligence?
Decision intelligence is the practice of turning internal and external data into ranked, explainable recommendations. A decision intelligence platform unifies signals from customers, competitors, and markets, synthesizes them continuously, and delivers the next best action to the teams that own the outcome, with the sources attached.
Decision intelligence in one paragraph
Most organizations do not lack data. They lack an agreed answer. Research sits in one tool, competitor notes in another, customer feedback in a third, and every team builds its own version of the truth. Decision intelligence closes that gap: one layer that ingests internal and external signals, synthesizes them into themes, ranks what matters, and hands each team the next move with its evidence attached.
How a decision intelligence platform works
- 1
Collect
Internal systems (CRM, product analytics, support, calls) and external sources (reviews, social listening, competitor sites, market and regulatory feeds) stream in continuously.
- 2
Synthesize
Signals are deduplicated, clustered into themes, and scored for impact, so noise becomes a small number of things that actually matter.
- 3
Rank
Themes become ranked opportunities and risks, each with the evidence behind it and a confidence level.
- 4
Act
Each decision is routed to the team that owns it, product, marketing, growth, sales, customer experience, or strategy, with a recommended next move.
Common questions
What is decision intelligence?
Decision intelligence is the practice of turning internal and external data into ranked, explainable recommendations. A decision intelligence platform unifies signals from customers, competitors, and markets, synthesizes them continuously, and delivers the next best action to the teams that own the outcome, with the sources attached.
How is decision intelligence different from business intelligence?
Business intelligence reports what happened in your own systems. Decision intelligence adds external context (competitors, market shifts, customer voice), explains what the combined picture means, and recommends what to do next. BI ends at a chart; decision intelligence ends at a decision.
How is it different from an AI chatbot?
A chatbot answers a question once, from whatever it was given. A decision intelligence platform runs continuously against governed company data, tracks changes over time, ranks opportunities and risks, and cites every source behind a recommendation.
What data does a decision intelligence platform use?
Internal signals such as CRM records, product usage, support tickets, and sales conversations, combined with external signals such as reviews, social listening, competitor moves, market trends, and regulation.
Who uses decision intelligence inside a company?
Product, product marketing, growth, sales, customer experience, and strategy and insights teams. The value comes from all of them working from the same synthesized truth instead of separate research.
How do you evaluate a decision intelligence platform?
Check five things: coverage of internal and external sources, source citation on every recommendation, ranking and prioritization rather than raw summaries, deployment and data governance options (cloud, private cloud, on-premises, bring your own LLM), and time to first decision. mia is live for most teams in under two weeks.
Is mia a decision intelligence platform?
Yes. mia is a decision intelligence platform for mid-market and enterprise organizations. It unifies customer, market, and competitor signals into one decision layer and routes ranked, source-cited opportunities to the teams that act on them.
See decision intelligence in practice
A 30 minute walkthrough of mia against your own market and customers.
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