AI-Powered Industrial Operational Intelligence
One unified platform built around your industrial operation. Connect operational teams, equipment, workflows and information for better visibility and coordination.
Connect your plant floor to intelligent decision making.
AdunniTrak connects operations, maintenance, reliability, inventory and workforce activity in one intelligent platform. It is configured around your facility, workflows, equipment structure, responsibilities and operational terminology, giving teams a shared view of performance and the information required to act with confidence.
One connected platform
Plant-wide visibility without disconnected records.
Built around your operation
Requirements, processes, asset hierarchy and nomenclature.
AI embedded across the platform
Investigation, learning, reporting and decision support.
Purpose Built for Asset-Intensive Industries
Your operation. Your workflows. Your nomenclature.
No two industrial facilities operate in exactly the same way. Each organisation has its own plant structure, equipment hierarchy, operating procedures, maintenance responsibilities, approval processes, reporting requirements and local terminology. AdunniTrak begins by understanding these differences before the platform is configured.
This means your teams work with familiar equipment names, departments, priorities and processes while gaining the structure, visibility and intelligence of one connected system.
Understand
Assess the operating environment, processes, objectives, challenges and information gaps.
Map
Map facilities, departments, equipment, sub-equipment, roles, approvals and information flow.
Configure
Configure workflows, terminology, access levels, dashboards, notifications and reports.
Implement and improve
Validate with teams, onboard users and continuously improve as operational needs evolve.
From operational activity to intelligent action
AdunniTrak creates a continuous flow of operational information. Activity captured at the point of work becomes shared visibility, structured analysis and coordinated action across the organisation.
Capture
Operators and authorised users record shift activity, production, downtime, equipment condition, maintenance work, inventory and attendance.
Connect
Information is linked to the relevant facility, department, line, equipment, work order, employee or inventory item.
See
Teams see plant conditions, incidents, maintenance priorities, production, stock and emerging operational risks.
Analyse
Adunni AI finds similar failures, supports investigations, retrieves knowledge and prepares summaries and reports.
Act
Teams coordinate action, complete accountable workflows, retain findings and improve future performance.
One connected operational ecosystem
No module operates in isolation
Operations, maintenance, reliability, inventory and workforce administration are interconnected within AdunniTrak. A downtime incident can initiate maintenance action. Maintenance execution can support a reliability investigation. A confirmed failure can become reusable knowledge. The result is one continuous operational record rather than separate modules containing disconnected information.
01
Operations
A downtime incident logged by an operator can directly initiate a maintenance work order with shared context.
02
Maintenance
Work order completion data feeds directly into reliability dashboards and FMEA investigations.
03
Reliability & Analytics
Confirmed root causes and repair outcomes are stored and made accessible through Adunni AI.
04
Inventory & Resources
Maintenance teams see inventory levels for the parts required to complete scheduled and reactive work.
05
Workforce & Admin
Attendance, roles, approvals and shift assignments are connected to the operational records that require them.
Adunni AI works across all modules
Because all modules share one operational record, Adunni AI can retrieve, connect and summarise information across operations, maintenance, reliability, inventory and workforce data.
Not a generic chatbot
Industrial intelligence grounded in your operational context
Adunni AI is embedded within the AdunniTrak platform and works with the operational information available to each authorised user. Its context may include the client's equipment hierarchy, incident history, maintenance records, confirmed failure causes, reliability knowledge, procedures and approved plant terminology.
Because Adunni AI works within the connected platform, it can support questions and decisions using relevant operational context rather than providing generic responses disconnected from the facility.
Adunni AI supports professional judgement. Operational and maintenance decisions remain subject to the client's authorised personnel, procedures, safety requirements and approval controls.
01 · Dashboard Command Centre
Plant-wide operational view
See plant status, production, downtime, maintenance workload, reliability indicators and priorities.
02 · Daily Shift Details and Production Plan
Shift activity, targets and feed plan
Capture shift performance, production, workforce activity, targets and feed requirements.
03 · Downtime Incident Response
Detection, acknowledgement and timeline
Record each event and follow the response timeline through acknowledgement and escalation.
04 · Maintenance Execution P1 to P4
Safe priority-based repair workflow
Manage emergency, urgent, deferred and planned work with ownership and gated safety execution.
05 · Preventive Maintenance Schedule and Execution
PM planning and completion
Plan recurring tasks, assign responsibilities, record completion evidence and monitor compliance.
06 · Reliability Performance and FMEA
Performance, reliability & investigation
Measure reliability, investigate causes, identify repeats and preserve confirmed learning.
07 · Inventory and Stores
Parts, locations, movement and reorder
Maintain parts, locations, receipts, issues, balances and reorder visibility.
08 · Shift Attendance
Biometric workforce visibility
Use API-capable biometric devices for current shift and workforce visibility.
09 · Ask Adunni
Plant-specific AI insight and reporting
Ask questions, retrieve knowledge, identify similar failures and generate summaries.
See AdunniTrak in Action
Start Free Production TrialMove from reactive activity to connected performance
AdunniTrak gives industrial organisations the structure and visibility required to respond faster, coordinate more effectively and convert daily operational activity into lasting improvement.
Reduce unplanned downtime
Faster detection, acknowledgement, investigation and repair with a complete incident record.
Strengthen asset reliability
Connect downtime, maintenance history, FMEA findings and reliability metrics.
Improve maintenance planning
Clear priorities, accountable ownership, PM schedules and accurate work history.
Reinforce safe work execution
Embed LOTO, FLRA, validation procedures and supporting evidence.
Create operational consistency
Standardise workflows while retaining approved terminology and requirements.
Improve cross-functional coordination
Connect operations, maintenance, reliability, inventory, workforce and leadership.
Retain organisational knowledge
Preserve equipment history, failure causes, repair experience and learning.
Support faster decisions
Provide real-time visibility and AI-supported access to operational context.
Agboola Shonekan
Born on the plant floor
AdunniTrak began with a problem experienced firsthand during an early morning shift. On 1 July 2024, Agboola Adio Shonekan arrived for a 5:30 a.m. shift at an industrial facility in London, Ontario. He had joined less than three months earlier and was still learning the operation.
During the morning preparation talk, the incoming crew reviewed the previous shift’s handwritten handover notes. The writing was difficult to read, and the instructions about an unresolved issue were unclear. The team tried to piece together what had happened, but could not resolve the issue until the facility manager arrived.
Industrial technology should adapt to the way organisations operate — not require organisations to adapt to the technology.
Agboola Adio Shonekan, C.Tech. · Founder and Chief Executive Officer
Industrial experience meets technical excellence
Our leadership team brings together industrial operations, reliability engineering, cybersecurity, cloud infrastructure, software development and digital transformation expertise.
Agboola Adio Shonekan, C.Tech.
Founder & Chief Executive Officer
Leads vision, product strategy and digital transformation, combining engineering, industrial operations and project management expertise.
Eyitayo Fajinmi
Director of Industry Strategy
Guides industrial workflows, reliability strategy and operational implementation.
'Isaac Adejuwon
Chief Technology Officer
Leads technology strategy, cybersecurity, cloud infrastructure and enterprise architecture.
Michael Oluwasegun Agbaje
Lead Software Engineer
Leads software architecture, application development, database design and systems integration.
Ideas for modern industrial operations
Practical perspectives on connected operations, maintenance performance, asset reliability, industrial knowledge and the responsible use of AI in asset-intensive industries.
Operational intelligence
Why connected shift data is the foundation of plant-wide improvement
Consistent shift information creates the operational history required to improve coordination, maintenance response and performance.
Reliability
From downtime event to organisational knowledge
Closing the loop between incidents, repairs, failure investigation and confirmed learning helps prevent repeated operational losses.
Artificial intelligence
Why industrial AI needs operational context
AI becomes more useful when it understands the facility's equipment, terminology, workflows and verified operating history.
Ready to connect your industrial operations?
Tell us about your facility, workflows and operational priorities. We will show you how AdunniTrak can be configured to support your teams.