ERP · MES · IoT · Policy · History→ One decision

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 begins
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Live 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 →
One decision · Five questions
I

Signal

What changed?

Supplier 03 slipped four days. Most systems log it. Few ask what it means.

SignalContextOptionsEvidenceDecide
The five questions, explained →
LIVET+00:00 · 03:14
Supplier 03 · Delivery window · Week 39
MONTUEWEDTHUFRISATSUNMONTUE
+0Days late
ORDER #4471 · THUORDER #4472 · THU2,400 UNITS EXPOSED
61%Context health
ERP · open orders✓
MES · line schedule✓
IoT · inventory✓
Policy · procurement✓
History · lead times✓
Supplier B · capacityMISSING

Don't train on everything. Ask for what the decision is missing.

a

Wait for Supplier 03

−$310KRevenue at risk
b

Move 2,400 units to Supplier B

+$216KProtected
c

Split production across lines

+$120KPartial
0%Confidence
Current authority

Human approval required

Policy: supplier reallocations above $100K need procurement sign-off. The AI has done the work — a person owns the call.

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.

Explore decision autonomy →
APPROVED
Next-best action · Decision D-2291

Move 2,400 units
to Supplier B

CONFIDENCE 87%SOURCES 8IMPACT +$216KREVERSIBLE 48H
▲ Human approval required — you are the approver

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.

RecommendSupplier B
HumanApprove
ActionSAP · MES
Outcome$216K protected
LearnContext improved
$0K
Protected on a single decision · illustrative
Decision qualityMEASURED
Decision latencyDAYS → HOURS
Confidence calibrationTRACKED
Human interventionLOGGED
ComplianceAUDITABLE
Economic impactATTRIBUTED

Measure decision quality, latency, confidence calibration, human intervention, compliance and economic impact — not only model performance.

Measure the decision →

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.

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.

Same layer.Real stakes.

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.

PLANT 2 · CELL 4 · 5 ROBOTS● 1 ANOMALY

AMR-14

Recommended decision

Autonomy envelope
INSIDE · ROBOT ACTSOUTSIDE · HUMAN APPROVES

SENSE

Motor current, vibration, LiDAR, vision, battery.

PERCEIVE

Bearing-wear signature matched, 91% similarity.

DECIDE

Finish mission at 60% speed, then go to service.

ACT

Fleet manager re-plans; the kit run is reassigned.

LEARN

Teardown result updates the wear model.

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.

02 · Manufacturing · production, finance & fleet 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 decisions it drives, from maintenance timing to production, cash and field fleet.

From wellhead to balance sheet.

Production, money and fleet are one decision system. Forecast them in separate tools and they fight each other. Here, one forecast drives the next.

Permian asset · 42 wells · bbl/d

18 months actual, 12 months forecast · P10–P90 band

Next 90 days—
vs do nothing—
Revenue @ $72—
Confidence—
Well risk · next 30 days
Recommended decision

Pull and replace the ESP on Pad 7 · 14H this week, and let AI tune chokes on the 11 gas-constrained wells.

Production engineer approves · $185K AFE · 2 days of deferred oil

12-month free cash flow · $M

Driven by the production forecast above — not a separate spreadsheet

Revenue · 12 mo—
Operating cash—
Free cash flow—
FCF breakeven—
Pad 9 · 4 wells$28M · spud month 2
Pad 11 · 3 wells$21M · spud month 6
Recommended decision

CFO + VP Operations approve · board notified above $25M

Delaware Basin · live field fleet

Water haulers, sand trucks and a frac crew on one map

Road closure · FM-652
Trucks live42
On-time loads81%
Frac downtime9.0 h
Cost exposure$310K
Recommended decision

Re-route 6 sand trucks via the county road and pull 2 water haulers from Pad 3 to keep the Pad 7 frac crew pumping.

Dispatcher on-the-loop · executes in 4 minutes unless overridden

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.

03 · Defense · predictive maintenance & readinessEvery airframe,
a living twin.

Inspection, sensor and maintenance records fused onto the geometry of the aircraft. Readiness stops being a spreadsheet — it becomes something you can look at, rotate, and fast-forward.

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.

ROBOTICS
● Signal

Recommended

Explore the industry →
Context
Confidence
Authority
Outcome
Illustrative scenario

Real-time analytics to live decisions · ROI in weeksYour data to live decisions
in weeks, not quarters.

Use cases, APIs, logic, math, KPIs, thresholds, AI guardrails, backend, frontend and cloud are pre-built. The work is connecting your data and tuning your logic. Illustrative deployment shown.

How your AI learns your business · knowledge graph & RAGIt learns your business.
Not the internet.

Generic AI knows the world. Yours has to know your plant, your orders, your patients and your people. Six steps turn scattered systems into grounded, auditable decisions — scroll through them.

Enterprise AI architecture · technology agnosticA layer on top of
everything you run.

Not another system of record. The decision layer reads from and writes back to your ERP, MES, EHR, TMS, data platforms and models — on AWS, Azure, Google Cloud, on-prem, edge or air-gapped.

3 wksto first recommendationsShadow mode on your live data — typical timeline
90 daysto a decision in productionConnect, model, approve, automate — typical
8 layerspre-built and readyConnectors to governance — nothing starts from zero
25+ yrsdesign & engineeringEnterprise product experience behind every build
0rip-and-replaceRuns on top of the systems you already own

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?
Decision intelligence (DI) is the discipline of engineering how decisions get made. It combines data, analytics, AI, business rules and human judgment into an explicit decision model, executes the chosen action in operational systems and measures the outcome. Read the full definition →
What is a decision intelligence platform?
Software that models decisions explicitly and recommends, automates, executes, governs and audits them. Gartner published its first Magic Quadrant for Decision Intelligence Platforms in January 2026. See the 9 capabilities →
What is the difference between AI, BI and decision intelligence?
BI reports what happened, AI predicts what is likely to happen, and decision intelligence decides what to do — then executes it under clear authority and measures the result. Compare AI vs BI vs DI →
What is the difference between AI, BI, CX and DI?
AI predicts, BI reports what happened, CX intelligence shows how the customer experience feels, and DI decides what to do — then executes it under clear authority and measures the result. SI (scenario intelligence) tests what-ifs before you commit. Every kind of intelligence, explained →
How do you measure the ROI of decision intelligence?
Decisions per year × improvement per decision × value of that improvement, minus the full program cost — measured against an agreed baseline, in shadow mode or with a holdout. ROI method and calculator →
How is decision intelligence used in robotics and physical AI?
It governs fleet-level decisions — task allocation, service timing, escalation and acting on inspection findings — and enforces autonomy envelopes so robots act alone only inside approved limits. Robotics & physical AI →
How is decision intelligence used in manufacturing?
For maintenance timing, quality holds, scheduling, supplier reallocation and energy decisions, combining MES, ERP, maintenance and sensor data on a live plant digital twin with engineers in control. Manufacturing →
How is decision intelligence used in healthcare?
Payers and providers use it for prior-authorization triage, claims routing, eligibility answers, member outreach, care-gap prioritization and patient flow — clinicians keep clinical decisions. Healthcare →
How is decision intelligence used in logistics?
For exception rerouting, carrier selection, dock and yard scheduling and inventory positioning, executed on-the-loop so dispatchers can override before anything commits. Logistics →
How do I get started with decision intelligence?
Pick one frequent, high-value decision with a clear owner and existing data, model it explicitly, pilot it in shadow mode and measure the outcome against a baseline — typically within 90 days. The 90-day playbook →
FROM DATA · TO DECISIONS · FOR OUTCOMES

Understand the category.Build the decision layer.

DecisionIntelligencePlatform.com explains the category. Yellowfirst helps enterprises put it to work.