SENTINEL · INFERENCE LAYER

Conversation is the last ungoverned layer.

Sentinel is the inference layer that models the gap between what is said and what is decided.

SENTINEL · CONSOLELIVE
SOURCEINFERRED SIGNALP(OUTCOME)
initializing…
RECOMMENDATION
P = 0.82 ▲

Churn risk — premium account

Attendance −60% over 4 weeks, declining sentiment, payment maintained. Estimated action window: 9 days.

Reach out before D+9
INDEPENDENT AUDIT · PASSED
simulated data — demonstration environment
01THE THESIS

What is said
is not what is meant.

Between the two lies a gap. In that gap sit your revenue, your risk, your decisions. Sentinel is the infrastructure that models this layer.

02THE ENGINE

Inference on meaning.
Not on words.

01 / EXTRACTION

Contextual reading

A language model reads every exchange in full context, across all languages, and extracts intent, commitments and tension, beneath the surface of the words.

02 / INFERENCE

Probability of outcome

A Bayesian engine turns those signals into outcome probabilities: churn, purchase, dispute, escalation. Each conversation becomes a measurable state, updated continuously.

03 / DECISION

Calibrated action

On every signal Sentinel proposes an action and learns from your decisions. The system calibrates to your culture and rules. Nothing ships without approval.

03THE SCOPE

One engine.
Every function.

The same inference layer applies wherever a conversation carries a decision. Sentinel activates per domain, with its own signals and its own actions.

REVENUE

Buying intent, deals at risk, churn signals.

SUPPORT

Escalations, dissatisfaction, recurring issues.

COMPLIANCE

Data leaks, commitments, non-compliance.

LEADERSHIP

A cross-cutting, real-time read across the whole operation.

04ACCESS

See it
on your data.

Connect Sentinel to your real activity and watch what the layer reveals. Measured, no commitment.