The decision intelligence platform for turning complex data into decisions — for enterprise AI, real-time analytics & ROI. Turn complexity
into decisions.
Connect fragmented enterprise context. Understand what changed. Recommend what should happen next — with evidence, confidence and human control.
Every signal, reduced to
one decision.
Keep scrolling · the film beginsLive digital twins · heatmaps & predictive modelingSee the decision
before it happens.
Real 3D assets with condition heatmaps. Tap a marker, filter by severity, then fast-forward 30, 60 or 90 days to watch what waiting costs.
What is Decision Intelligence?
Data tells you what happened. AI can tell you what might happen. Decision Intelligence helps determine what should happen next.
A Decision Intelligence Platform combines data, analytics, knowledge, decision models and AI to support, augment and automate decisions — while connecting recommendations to execution, governance and measurable outcomes.
Understand the category →Conversational decision intelligence · voice & plain languageJust ask.
It finds the real problem.
No dashboards to learn. Ask the way you’d ask a colleague — typed or spoken — and get the critical issue in plain words, the numbers behind it, and the decision to make. Turn on the voice and it reads the answer to you.
Signal
Supplier 03 slipped four days. Most systems log it. Few ask what it means.
Don't train on everything. Ask for what the decision is missing.
Wait for Supplier 03
Move 2,400 units to Supplier B
Split production across lines
Human approval required
Policy: supplier reallocations above $100K need procurement sign-off. The AI has done the work — a person owns the call.
Physical AI · robot mission profilesYou can’t train a robot for everything.
Profile it for the job.
Reliable robots today are specialists. Each profile defines the mission, the world it works in, what it’s trained for — and what it isn’t — and when it hands the decision to a person. Scroll to watch six robots take shape.
Decision intelligence ROI · measured, not promisedEvery decision
has a price tag.
Downtime avoided, scrap prevented, revenue protected, hours returned. Pick a use case, put in your numbers, and see the formula your CFO will ask for.
Decision automation · governed by policyAI recommends.
Humans decide.Until policy says otherwise.
Autonomy should be earned by consequence, evidence, confidence, reversibility and policy — not assumed because a model can act. Low confidence asks for context. Conflicting evidence surfaces disagreement. Out-of-domain decisions abstain.
Move 2,400 units
to Supplier B
Go ahead — make the call. This is the moment the platform exists for.
Decision execution · from recommendation to outcomeA recommendation only matters
when something happens next.
Measure decision quality, latency, confidence calibration, human intervention, compliance and economic impact — not only model performance.
Measure the decision →Real-time analytics to live decisions · ROI in weeksYour data to live decisions
in weeks, not quarters.
Most of the build already exists — use cases, connectors, logic, math, guardrails, backend, frontend and cloud. Scroll through twelve weeks and watch one decision go from idea to production while a from-scratch build is still choosing vendors.
Where a wrong call isn't a bad chart — it's a stalled robot, a tripped compressor, a grounded jet. Real worlds, one decision layer.
01 · Physical AI & robotics decision intelligenceDecisions with
a body.
When AI moves steel, a bad decision is a collision, a scrapped part or a stopped line. Physical AI needs a decision layer that knows the envelope each machine may act in — and when to hand the call to a human.
One line. Six physical-AI decisions.
Welding robots, vision, cobots, AMRs and palletizers each make small calls every minute. Scroll down the line to see what each one decides alone — and what it hands to a person.
Every one of those decisions runs the same loop
Motor current, vibration, LiDAR, vision, battery.
Bearing-wear signature matched, 91% similarity.
Finish mission at 60% speed, then go to service.
Fleet manager re-plans; the kit run is reassigned.
Teardown result updates the wear model.
02 · Manufacturing · production planning, demand & workforce forecastingThe plant,
as a decision system.
The same plant you can explore in the live twin at the top of this page — here as the plans it runs on: what to make, how much will sell, who is on shift, what is on the road and what gets done first.
From demand to dispatch. One plan.
Demand, production, people, fleet and tasks are one decision system. Plan them in separate tools and they fight each other. Here, one forecast drives the next.
Plant 2 · three lines · load vs capacity
Next 8 weeks · anything above 100% is a late order
Production head approves · schedule updates in MES
SKU-A · monthly demand · cases
12 months actual, 6 months forecast · P10–P90 band
Sales head + supply planner approve · plan updates in ERP
Shift coverage · next 7 days
Staffed vs required, by shift · certifications and hour limits enforced
Shift supervisor approves · labor rules checked automatically
North Texas · live field fleet
Inbound material, delivery trucks and service vans on one map
Re-route 6 inbound resin trucks via the county road and pull 2 delivery trucks from DC 3 to keep Plant 7’s lines supplied.
Dispatcher on-the-loop · executes in 4 minutes unless overridden
Open work · top of the queue
64 open tasks across maintenance, quality and contractors
Maintenance lead approves · tasks update in the CMMS and Teams
CXO dashboards · decision intelligence for every roleOne organization.
A cockpit for every role.
Production, finance and fleet are one decision system — and so are sales, support and the C-suite. Pick a role: every view reads from the same decision layer, so one change updates every forecast and every promise.
Decision intelligence by industryOne layer.
Different worlds.
The intelligence pattern is shared. The decision surface should look like the environment, object and role it serves.
Enterprise AI architecture · technology agnosticA layer on top of
everything you run.
Not another system of record. The decision layer reads from what you already run, answers the five questions, and writes the decision back — to people, machines and systems. Pick a decision and watch it travel through.
Timelines are typical for a first decision and depend on data access and security review. See what’s pre-built →
Explore the categoryGo as deep
as you need.
Decision intelligence FAQDecision intelligence,
answered.
What is decision intelligence?
What is a decision intelligence platform?
What is the difference between AI, BI and decision intelligence?
What is the difference between AI, BI, CX and DI?
How do you measure the ROI of decision intelligence?
How is decision intelligence used in robotics and physical AI?
How is decision intelligence used in manufacturing?
How is decision intelligence used in healthcare?
How is decision intelligence used in logistics?
How do I get started with decision intelligence?
Understand the category.Build the decision layer.
DecisionIntelligencePlatform.com explains the category. Yellowfirst helps enterprises put it to work.