Continuous inference and proactive decision intelligence

Detect operational anomalies instantly. Act on evidence-based recommendations 24/7/365.

Standard monitoring tools flood operators with noisy, disconnected threshold alerts after failure has already occurred. The JanusKS Recommendations & Alerts Engine applies continuous semantic inference over your live Enterprise Knowledge Graph. By analysing operational dependencies, historical temporality and mathematical constraints in real time, it filters out noise, detects leading indicators of breakdown weeks early, and prescribes defensible, context-aware interventions straight into your existing communication and ERP workflows.

Forty symptom alerts collapse into one root cause, which produces one alert and one action plan. 40 symptom pings root cause smart alert action plan
The graph traces causality, so dozens of symptoms arrive as one alert with a plan attached.
Prescriptive, not just descriptive
Surfaces actionable intervention strategies alongside every alert, not just red flags.
Root-cause de-noising
Evaluates graph relationships to group cascading downstream effects into one root-cause notification.
Closed-loop execution
Directly triggers webhooks, dispatch routines and messaging integrations (Slack, Teams, Jira) under human governance.

Alert fatigue, stale reports and trapped knowledge.

Modern enterprises generate thousands of notifications every week. Yet when critical milestones fail, budgets blow out or supply chains stall, leadership is left asking, “Why didn’t we catch this sooner?” Current monitoring fails operators in three fundamental ways.

  • The noise avalanche

    Relational alerts trigger on isolated sensor or spreadsheet thresholds. When a main line suffers an outage, operators are bombarded with 500 downstream failure pings that obscure the single failing component.

  • Trailing, not leading, indicators

    Standard dashboards flag a budget deficit or schedule slip after it has breached contractual limits, when remediation costs are at their highest.

  • Passive notification without action

    An alert tells a manager a critical path task is slipping, but offers no analysis of what to do next, forcing hours of manual investigation through schedules and supplier lists.

JanusKS bridges the gap from passive monitoring to prescriptive operational intelligence.

Continuous graph inference

Unlike static cron jobs or periodic report generation, JanusKS runs continuous background inference against the live enterprise graph.

  • Constraint boundary proximity

    Monitors how close operational states are drifting toward hard constraints, such as maximum shift fatigue, statutory inspection deadlines or crane pick weight safety factors.

  • Cross-silo correlation

    Connects data points no single department tracks together, such as an unapproved engineering drawing revision and an upcoming procurement cut-off.

Multi-level anomaly triage and de-noising

Stop drowning in symptom notifications. JanusKS uses the knowledge graph to trace causality.

  • Root-cause deduplication

    If an electrical transformer delivery is held at customs, the engine suppresses dozens of individual installation warnings and shows project directors one root-cause alert: Primary Substation Delay.

  • Dynamic severity scoring

    Rates urgency by structural impact, separating a task delay with plenty of float from a minor delay sitting directly on the contractual critical path.

Prescriptive recommendation generation

JanusKS doesn’t just show what is going wrong. It generates mathematically validated options for fixing it.

  • Automated trade-off formulation

    Evaluates candidate solutions, such as authorising weekend overtime or reallocating a secondary trade crew, and scores them on cost, delivery date and fatigue risk.

  • Historical grounding

    Uses past temporality to recommend the suppliers, sequences and interventions with the strongest track record under the same constraints.

Closed-loop execution and ecosystem integrations

Actionable intelligence, delivered directly into the tools your teams use every day.

Real-time chat and collaboration dispatch

  • Rich interactive cards

    Push alerts into dedicated Slack or Microsoft Teams channels with embedded decision widgets showing root causes, impacted dependencies and candidate actions.

  • In-chat authorisation

    Let designated managers approve schedule adjustments or emergency supplier dispatches directly from secure chat prompts.

Enterprise system-to-system triggers

  • Bidirectional task updates

    Automatically create or update tracking issues in Jira, Procore or Autodesk Build when structural dependencies deviate.

  • ERP procurement locks

    Trigger procurement holds or contingency drawdowns in SAP, Oracle or NetSuite, under the approval rules you set, when cost anomalies exceed predefined risk bands.

Governed agentic action via MCP

  • Autonomous task staging

    AI agents working through the Model Context Protocol (MCP) receive real-time anomaly feeds to draft mitigation plans or query alternative supplier catalogues.

  • Strict human gates

    Recommendations stay advisory until validated. State-altering transactions, budget reallocations and contract notices need verified human sign-off.

Live anomaly and recommendation scenarios

Illustrative examples.

Four triggering conditions with the alert, recommendation and action for each
Triggering conditionDiagnostic alert (root cause)Prescriptive recommendationClosed-loop action
Trade velocity degradation Level 4 mechanical rough-in is tracking 22% below baseline velocity across the past 14 days. Resequence Level 5 staging to avoid trade stacking; assign an auxiliary crew from non-critical Sector B. Generates an adjusted schedule draft in an isolated sandbox for director review.
Regulatory hold-point risk Statutory structural certificate missing 72 hours before scheduled heavy load placement. Shift the crane mobilisation window by 48 hours to avoid idle equipment standby penalties ($8,500/day). Sends an urgent priority alert to the project certifier via SMS and Slack.
Supply chain slippage HV switchgear sea freight delayed by 11 days at a transit hub. Commission temporary site generator power for initial testing; defer switchgear installation to Phase 3. Pushes the updated delivery dependency to the procurement team in SAP.
Staffing fatigue and compliance Specialist night-shift crew approaching statutory consecutive-hour fatigue limits. Swap weekend shifts with a qualified, certified backup team to prevent a safety code breach. Stages the change in the workforce scheduling tool and notifies the site supervisor.

Enterprise governance and configuration

  • Custom threshold authoring

    Define your own risk tolerances, business heuristics and escalation ladders through a rule canvas or custom mathematical expressions.

  • Role-based notification routing

    Route sensitive commercial alerts, such as margin erosion or budget breaches, strictly to authorised executives, and operational alerts to field leads.

  • Complete auditability

    Every alert raised, recommendation presented and action triggered is logged in an immutable audit ledger, keeping a defensible history of your response to risk.

Move from reactive firefighting to pre-emptive control.

Equip your operations with continuous intelligence that uncovers hidden risks and prescribes optimal interventions before minor deviations compound into serious delays.