What is economically at risk?
Trace operational and external signals to the exact customer commitments, revenue, margin, delivery, LD and cash exposure they can affect.
Initial entry offering · Industrial Decision & Value Intelligence
Protect the economics of every customer commitment.
PulseIQ shows what is at risk, why, what can still change and what value was actually protected or recovered — using connected enterprise evidence rather than another isolated dashboard.
The management problem
Your systems record events. Leadership needs to understand economic consequence.
A late engineering release, supplier distress signal or logistics disruption matters only when you can connect it to the customer commitments and financial outcomes that depend on it.
What can leadership still change?
Identify the decision window, accountable owner and governed actions while people retain authority over consequential decisions.
What value actually happened?
Separate modeled exposure, potential protectable value, observed outcomes and independently verified value in a governed Value Ledger.
08 · Decision trust
Explain → Source → Action → Value
PulseIQ is designed so leadership can inspect why a recommendation exists, what supports it, what happens next, and whether value was actually created.
01
Explain
Show the reasoning, confidence, and business consequence behind the recommendation.
02
Source
Trace the approved evidence, freshness, and source-system lineage used.
03
Action
Assign an owner, approval gate, milestone, and human decision record.
04
Value
Carry the baseline through observed outcome, attribution, and verification.
v1 implementation boundary: Industrial Decision Graph, Outcome Pattern Library, and Value Ledger records remain tenant-scoped, provenance-backed, read-only, and human-approved. No customer data is promoted into generalized patterns without anonymization and comparable governed evidence.
Founding Customer Value Proof
Prove value before asking the customer to trust the platform.
PulseIQ is entering the market with a proof-first commercial model. Early customers should experience the product on their own management problem before making a significant platform commitment.
If PulseIQ cannot surface a credible economic signal from the agreed evidence, stop. If it can, agree how value will be verified and then decide whether continuous use is worth paying for.
Read-only first · tenant-isolated · no source-system writeback · human decision authority
- 01
Bring one economically important management question.
- 02
Agree the smallest read-only evidence scope needed to test it.
- 03
RightSense owns source discovery, mapping, entity resolution and correlation.
- 04
PulseIQ builds the evidence-to-commitment path and quantifies modeled economic exposure.
- 05
Leadership acts only through governed human decision authority.
- 06
Observed outcomes and verified value are measured separately from modeled opportunity.
PulseIQ solution · Supply Network Agents
Coordinate buying across plants and selling against real operating capacity.
For global and regional supply-chain teams, the buying agent consolidates plant-wide MRP requirements and compares net demand with inventory, open purchase orders, supplier reliability, lead times and cost. The selling agent checks RFQs and order requests against stock, production capacity, delivery commitments and approved pricing or margin limits.
A governed pilot starts with an agreed read-only ERP/MRP scope. Procurement and sales owners approve proposed sourcing, purchase or customer-commitment decisions. No autonomous order placement or source-system writeback.
Illustrative walkthrough
Explore synthetic examples of shortage prioritization, supplier comparison, stock and capacity checks, and approval gates.
See the buying + selling agents demoThe public demo uses synthetic reference data. Customer-specific source mapping, permissions, approval design and value measures are agreed for each pilot.
Implementation principle
Configure to the enterprise landscape without promising instant plug-and-play.
PulseIQ is designed around a common evidence, commitment and economic-value model. Each customer proof still requires source discovery, mapping, policy configuration and validation against the customer's actual operating context.
That does not mean every enterprise system is instant plug-and-play. It means supported source patterns can move from approved evidence to the first economically meaningful signal without creating a customer-specific product fork.