What Is AI Decision Intelligence?
Decision intelligence combines research, evidence, and calculation into one process aimed at a single output: a recommendation you can inspect and challenge, not just a summary you have to trust.
How decision intelligence works
Rather than answering a question and stopping, a decision-intelligence system treats the question as a decision with inputs: evidence from research, explicit assumptions (costs, budget, timeframe), and a way of combining them into a scored, explainable outcome. Change an assumption, and the outcome is expected to change too — that link is the whole point.
Decision intelligence vs. traditional research
Traditional market research produces a report: findings, charts, a narrative. It's thorough but usually stops short of a recommendation, and rarely lets you re-run it with different numbers. Decision intelligence keeps the research but adds the missing step — turning findings into a scored, adjustable verdict.
Decision intelligence vs. generic AI chat
A generic AI chat answers in prose and can sound confident regardless of how much it actually knows. Decision intelligence separates the parts on purpose: evidence with sources, assumptions you can see and change, calculations run in code, and a score built from named components — so confidence is earned by the structure, not implied by fluent writing.
How evidence and assumptions affect the decision
Two levers move a Dossier verdict: the evidence Dossier finds (competitor pricing, market signals, risk factors) and the assumptions you supply (budget, timeframe, region). The financial model and decision score both recompute when either changes, and the "What Would Change the Answer" section names the assumptions the verdict is most sensitive to, so you know which numbers are worth double-checking.
How Dossier applies decision intelligence
A Dossier report has a market and competitor read, a deterministic financial model, a risk matrix, and a decision score — each traceable back to the evidence or assumption that produced it. See the full sequence on How It Works.
Limitations: Decision intelligence narrows uncertainty; it doesn't remove it. Dossier's score reflects the evidence and assumptions it was given — better inputs produce a better verdict, and the platform is explicit about what it doesn't know rather than papering over gaps.
FAQ
Is decision intelligence the same as business intelligence (BI)?
No — BI dashboards report on data you already have. Decision intelligence is aimed at a specific choice you haven't made yet, combining fresh research with a recommendation.
Does Dossier make the decision for me?
No — it produces a transparent, evidence-backed recommendation and shows its reasoning; the decision, and responsibility for it, stays yours.