1. Reactive
Signals are fragmented and manually interpreted; quality and provenance are uncertain.
Assessment rule
Build a minimum baseline.Teams collect signals for individual use cases with little shared trust.
Sense · Maturity assessment
How ready are you to sense what matters?
The Sense step builds the evidence state of the enterprise. This model assesses whether the organization can detect, connect, interpret, and trust the evidence required to make decisions.
Assessment flow
Where does your enterprise stand on sensing?
Find the level that best describes how well you spot, trust, and share the signals that matter.
2. Defined
Priority sources, owners, access rules, provenance, and quality expectations are established.
Assessment rule
Connect intent to delivery.Common definitions and curated context exist for selected outcomes.
3. Integrated
Internal and external evidence is connected through governed data and knowledge layers.
Assessment rule
Instrument with evidence.Trusted evidence supports Actions and their critical assumptions.
4. Adaptive
Signal coverage, quality, and relevance continuously improve.
Assessment rule
Extend learning across capabilities.Sensing improves based on observed usefulness, decision outcomes, and uncertainty reduction.
5. Neural
Trusted enterprise context is available in the flow of work.
Assessment rule
Sustain durable trust and learning.Relevant evidence, prior decisions, assumptions, outcomes, and provenance surface where decisions are made.
This is a diagnostic, not a certification. Score Sense using the highest level for which the observable behaviors are consistently true. If behavior is inconsistent, score the lower level. The most useful result is the largest gap between the evidence the enterprise needs and the evidence it can trust.
What this model assesses
Eight lenses on how well your enterprise can sense.
Each lens is a sub-dimension of Sense. It names what we measure and the evidence sources we review, such as systems, artifacts, and leadership practices, to see how consistently your enterprise performs.
Signal coverage and breadth
Whether the enterprise senses the internal and external signals that matter to its outcomes.
- Signal inventory
- Coverage maps
- Source catalogs
Data quality and provenance
Whether evidence is reliable, current, representative, and traceable to its origin.
- Data quality records
- Lineage metadata
Signal from noise
Whether the enterprise can interpret signals and separate meaningful change from noise.
- Interpretation methods
- Alert thresholds
- False-positive rates
Integration and connection
Whether signals are connected through semantic and knowledge layers rather than siloed.
- Semantic layer
- Knowledge graph
- Integration architecture
Timeliness and latency
Whether evidence is fresh enough for the decisions it supports.
- Latency measures
- Freshness service levels
Access in the flow of work
Whether relevant evidence reaches decision makers and systems when needed.
- Access patterns
- Embedded context
- Decision-support usage
Evidence confidence and trust
Whether the strength of evidence is explicitly recorded and understood.
- Evidence-confidence records
- Confidence tagging
External intelligence and memory
Whether external signals and prior outcomes are part of the evidence state.
- External feeds
- Prior outcomes
- Knowledge graph
Associated solutions
Solution pathways to shape together.
The Slalom capabilities, accelerators, and delivery patterns that help your enterprise sense with greater speed and confidence.
Sense
Arriving January 2027
Pathways taking shape
We're connecting proven Slalom accelerators into the sense stage of the loop — ready to move your enterprise from insight to outcome.