OUR EXPERTISE
AI & factory automation consulting
AI manufacturing consulting, physical AI, robotics and factory automation roadmaps tied to operational value.
AI factory & automation transformation
The starting question is where technology can improve manufacturing performance. The AI Factory Opportunity Assessment examines process stability, data readiness, labor needs and investment economics before recommending use cases. A manufacturing ROI map compares expected benefit, cost, complexity and payback.
Where we focus
- Quality: machine vision inspection, defect classification, warranty analytics and root-cause analysis
- Maintenance: predictive maintenance and machine-health monitoring
- Operations: production scheduling, OEE improvement and bottleneck detection
- Supply chain: inventory optimization, supplier risk and lead-time forecasting
- Engineering: design review, failure mode and effects analysis (FMEA) support and knowledge agents
- Robotics: collaborative robots (cobots), autonomous mobile robots (AMRs) and vision-guided automation
Bring to the first discussion
Current process losses, equipment, available data and proposed investments.
A decision you can use
A ranked opportunity map, scoped pilot and clear acceptance criteria.
Measure progress
Yield, downtime, throughput and actual cost against the pilot baseline.
From recommendation to implementation.
The assessment creates an improvement action plan. The usual next phase is intensive on-site guidance and coaching to implement the agreed priorities, followed by quarterly visits, scorecard reviews and continued coaching. Scope and cadence are agreed around the business need.
See the assessment and implementation approach →Explore industry applications →View industry resources →We agree the business priority, site access, deliverables, responsibilities, timing and fee before work begins. Specialist technical work and follow-on support are scoped explicitly.