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See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+
Available ASSIST-DWI-001 AI Assistant

Digital Work Instruction Assistant

Transforms static procedures into dynamic, context-aware work instructions that adapt in real time to current equipment status, environmental conditions, and operator skill levels — eliminating the gap between documented processes and actual field requirements.

ManufacturingMiningOil & GasEnergy & UtilitiesWater & Wastewater Work Instruction

Target outcome · Reduce procedural errors and task completion time by delivering adaptive, situation-specific guidance that responds to real operational conditions instead of static assumptions.

Business problem

Frontline workers depend on accurate, timely work instructions to perform critical tasks safely and efficiently, but static procedures fail to account for real-time operational conditions. Paper-based SOPs, outdated digital documents, and generic procedures create gaps between documented processes and actual field requirements — the same instruction for different skill levels, equipment models, environmental conditions, and operational contexts. This disconnect leads to procedural errors, safety incidents, and operational inefficiencies that undermine productivity and worker safety.

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Traditional work instruction systems also fail at execution tracking: there is no visibility into whether procedures were followed correctly, no mechanism to capture operator insights for improvement, and no audit trail adequate for regulatory verification. Workers develop workarounds that bypass safety protocols, and training effectiveness suffers because generic instructions don't match the actual conditions new employees encounter. The static nature of existing systems means that best practices and operational insights remain trapped in individual experience rather than being systematically available to all workers.

What it does

The Digital Work Instruction Assistant continuously monitors operational conditions, equipment status, and environmental factors to generate real-time work instructions that adapt to current situations and asset states.

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It processes live operational data from SCADA, CMMS, and environmental sensors, incorporates insights from other specialized agents, and delivers context-aware guidance through mobile and desktop interfaces including step-by-step progression, interactive checklists, safety checkpoints, and completion tracking. Instructions adapt dynamically as conditions change — modifying procedure parameters based on current environmental factors, adjusting safety protocols based on real-time hazard assessments, and calibrating instruction complexity based on operator skill levels. Execution feedback is captured and used to continuously improve instruction quality and relevance.

Agent structure

  • Context-aware content assembly combining structured SOP content with real-time operational data for situational work instructions
  • Dynamic adaptation modifying procedures based on current asset status, environmental conditions, and operational priorities
  • Interactive guidance delivery with step-by-step tracking, safety checkpoints, and completion validation
  • Multi-modal accessibility through mobile apps, tablets, HMI systems, and voice interfaces
  • Execution intelligence tracking completion times, error rates, and operator feedback for continuous improvement

What the team handles

Handles

Dynamic assembly and delivery of context-appropriate work instructions, real-time adaptation to changing conditions, execution tracking, compliance validation, and feedback capture for continuous improvement

Does not handle

Engineering decisions on whether to deviate from documented procedures, final authorization for high-risk tasks requiring permit-to-work, or replacement of competency assessment for safety-critical roles

Humans retain authority over

Judgment on whether conditions require escalation beyond documented procedures, final decision authority on safety-critical steps, supervisor approval for high-risk work execution, and accountability for work quality and safety outcomes

Current process vs. with AI Assistant

TODAY · WORK INSTRUCTIONREACTIVE
×
Procedural guidance for maintenance tasksWorker receives a static generic procedure that may not reflect current equipment configuration, environmental conditions, or fault state
×
Safety protocol enforcement in changing conditionsStatic safety protocols cannot adapt when equipment state, hazard conditions, or environmental factors change during task execution
×
Execution compliance and audit trailLimited visibility into whether procedures were followed correctly; audit records incomplete or reconstructed after the fact
×
Knowledge standardization across experience levelsInexperienced workers receive the same instructions as experts, creating safety risk; best practices trapped in individual experience

Outcomes and measurement

Procedural error rate

Baseline Errors driven by context mismatch between static procedures and actual conditions
With agent Reduction through dynamic instructions that reflect actual equipment state and environmental conditions

Task completion time

Baseline Time lost interpreting irrelevant steps or locating applicable guidance within static documents
With agent Optimized through delivery of only relevant, sequenced steps for current conditions

Execution compliance tracking

Baseline Manual or absent; audit preparation requires significant reconstruction
With agent Automated step-level tracking and digital audit trail for every task execution

Knowledge standardization across shifts and sites

Baseline Best practices dependent on individual experience; highly variable outcomes
With agent Consistent, context-appropriate guidance available to all workers regardless of individual knowledge level

*All figures are typical ranges. Achievable range depends on existing control maturity, data quality, and site-specific conditions.

Data inputs

Other

Equipment fault codes and diagnostic data from SCADA and control systemsenvironmental conditions from process sensorsasset status and maintenance history from CMMSoperator authentication and certification datatool availability and calibration status from asset management systems

structured procedure content from SOP repositories and SOP Creator Agent

and safety protocols from safety management systems

*Categories only — no tag names or system-specific field references. Exact data mapping is scoped per site.

Scoping questions

Expect these questions in a first scoping conversation. They signal engineering discipline and help narrow the template to your specific site context.

  1. What types of tasks are most prone to procedural errors or safety incidents due to the gap between documented procedures and actual field conditions?
  2. Which operational systems contain the real-time data needed to contextualize instructions — SCADA, CMMS, environmental sensors, asset management?
  3. What are the primary device and interface requirements for frontline workers — mobile phones, tablets, HMI systems, voice-enabled, or a combination?
  4. Are there existing SOPs or procedure documents that should serve as the foundational content, and in what systems or formats are they stored?
  5. What are the compliance and audit requirements that execution tracking must satisfy, and which regulatory frameworks govern the tasks in scope?

Want our AI to walk you through these scoping questions?

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Get specialist advice on scoping this for your site.

Our specialists will help you understand how the Digital Work Instruction Assistant fits your operations, what data you'd need, and what a scoping engagement typically looks like.

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