Ai delivering value in the Heart of your operations

Inbox AI Agent for Front‑End Process Automation

Brief
We have deployed Inbox AI Agent across multiple industries. Using Optical Character recognition and natural language processing to extract structured data from critical inbound emails and automatically populate enterprise systems (ERP, CRM, CMMS), triggering workflows with human oversight of exceptions.

Problem
Common challenge across sectors such as logistics, finance, utilities, and construction struggled with high volumes of emails requiring manual data entry into enterprise systems—creating bottlenecks, delays, and administrative overload.

Solution
The agent processes incoming emails, applies OCR to scanned documents, uses natural language understanding to interpret key information, and maps extracted fields into the required system inputs. This automation initiates downstream workflows effortlessly while maintaining error handling and human oversight where needed.

Result

  • Email-to-system automation across multiple industries

  • Improved processing speed and data accuracy

  • Significant reduction in administrative workload for customer‑service and operations teams

  • Scalable front-end interface for high‑volume critical tasks

Keywords
OCR, Natural Language Understanding, Front‑end Automation, Workflow Integration, Enterprise Efficiency

Financial Services | Enterprise Knowledge Search with NLP

Brief
We developed a secure, permission‑based NLP-powered enterprise knowledge search that streamlined access to policies, procedures, and regulations to accelerate onboarding and service delivery.

Problem
New recruits underwent a 12-week onboarding to absorb internal documentation; front-line staff experienced delays locating required reference materials.

Solution
A secure NLP knowledge search platform was built with role-based access controls and LMS integration to track learning gaps and guide targeted training based on user search behaviour.

Result

  • 50% reduction in formal training duration

  • Active identification of learner knowledge gaps

  • Faster onboarding and better-enabled customer service teams

Keywords
NLP Search, Knowledge Management, LMS Integration, Training Optimization, Frontline Efficiency

Education | AI-Generated Interactive Learning Program Developer

Brief
We developed an AI agent-based learning creation system, enabling users to generate a course from either a specific uploaded document or by simply describing their goal We ensured alignment with Registered Training Organisation regulations and integrated The courses directly into company Learning System

Problem
Generation of course material tools lacked flexibility, media richness, and depth. Manual effort was required to enhance courses to a publishable standard, limiting scalability and user experience.

Solution
An AI agent-based course creation system was developed, enabling users to generate structured, media-rich courses from uploaded documents or simple goal descriptions. The system coordinates multiple background tools, including a vector database for content extraction, image libraries, and a real-time generation engine that builds sections with info pages, quizzes, flip cards, accordions, and embedded media. Users can customise the depth, tone, and interactivity before final generation.

Result

  • Instant course generation with structured, engaging layouts

  • Seamless inclusion of visuals, quizzes, and videos

  • Customisable tone and complexity for diverse audiences

The new AI system became the platform’s default creation tool, increasing Monthly Recurring Revenue (MRR) and expanding its educator user base. Courses are now higher quality and faster to launch.

Keywords
Course creation, Learning, Development, Compliance, AI, User Experience

Manufacturing | Computer Vision for Stocktake Efficiency

Brief
We implemented a computer vision stocktake system that automates inventory counts during production, eliminating the need for quarterly full-day shutdowns.

Problem
Traditional stocktakes caused a full-day shutdown every quarter, disrupting manufacturing schedules and impacting production efficiency.

Solution
We deployed high-resolution cameras and trained AI models to monitor inventory movements, capture counts in real time, and detect discrepancies without halting operations.

Result

  • 1 day per quarter of shutdown time saved

  • Higher inventory accuracy and visibility

  • Reduced manual labour and human error

Keywords
Computer Vision, Inventory Automation, Stocktake, Production Efficiency, Manufacturing AI

Aged Care | Compliance & Care Planning Audit Tool

Brief
We built a digital compliance and care planning audit tool that evaluates aged care delivery against regulatory standards and drives best-practice consistency across facilities.

Problem
Manual compliance audits were time-intensive, reducing clinical staff’s time with clients and increasing regulatory risk.

Solution
A secure tool was developed to map care plans to aged‑care standards, automatically flagging non-compliant or risk areas, and recommend corrective actions to support consistent best‑practice delivery.

Result

  • Reduced regulatory risk and audit workload

  • Lower administrative burden for care staff

  • More time for frontline staff to focus on client care

Keywords
Aged Care Compliance, Audit Automation, Clinical Planning Tool, Regulatory Risk Reduction, Care Quality

Healthcare | AI-Generated Clinical Reporting

Brief
We created an AI powered ECG Reporting pipeline. Drawing from clinical data and patient demographics we generated reports that are structured, stylised, and packed with critical insight.

Problem
Clinicians spent significant time manually interpreting ECG classification data and crafting diagnostic summaries. Existing workflows were slow, complex, and required deep medical expertise, creating inefficiencies in both research and patient care.

Solution
A complete AI-powered ECG reporting pipeline was delivered, running fully offline on secure infrastructure. The system combines ECG classification outputs, lead-by-lead clinical features, and patient demographics to automatically generate PDF reports. Each includes:

  • Narrative-style interpretations with diagnosis confidence

  • Highlighted abnormalities and triage cues

  • Lead-specific time-series plots

  • Visual classification charts and patient summaries

Result

Report generation time reduced from hours to minutes

  • Improved accuracy and consistency of medical summaries

  • Fully offline processing, preserving patient privacy


    Clinicians and researchers now access clear, high-quality ECG reports instantly, improving confidence and freeing up time for more valuable clinical tasks. The system bridges the gap between raw model output and clinician-ready insights.

Keywords

AI, Medicine, Insight, reporting

Energy | Predictive Maintenance Smart Surveillance

Brief
We designed a smart surveillance-based predictive maintenance system, integrating vibration sensors and CMMS to shift from time-based maintenance to predictive, data-driven workflows.

Problem
Maintenance was conducted reactively or on fixed schedules, leading to inefficiencies, unplanned downtime, and rising costs.

Solution
Sensor data—including vibration and temperature—is collected and analysed. AI models forecast equipment degradation, feeding into CMMS for end-to-end planning of tasks, materials, and parts.

Result

  • 20% reduction in maintenance budget

  • Transitioned to predictive maintenance approach

  • Streamlined maintenance workflows with improved planning

Keywords
Predictive Maintenance, Condition Monitoring, Smart Surveillance, CMMS Integration, Maintenance AI

Property Development | AI Plan Review Assistant

Brief
We launched an AI-powered plan review agent to extract and validate building measurements (doors, windows, showers, mirrors) from architectural drawings to support development planning.

Problem
Architectural plan review was largely paper-based, manual, slow, and prone to measurement errors across disparate systems.

Solution
AI models were trained to read plan documents, detect measurement elements, and populate digital specifications in the master systems. Human oversight ensured review accuracy within an integrated workflow.

Result

  • 80% time saving in plan review effort

  • Improved measurement accuracy

  • Unified digital workflow with consistent outputs to master systems

Keywords
Plan Review Automation, Computer Vision, Measurement Extraction, Property Development, Quality Assurance