Whether you’re automating manufacturing workflows, accelerating product development with AI, transforming customer operations—we identify where AI creates real value, then build solutions your organization can deploy and sustain. No hype. Just concrete KPIs, industrial rigor, and AI implementations that actually work.
We get inside your processes, not just your slides. We co-design changes your teams actually adopt, then track the value in cold, hard numbers.
Everyone’s talking about AI. Few know how to implement it successfully. We bridge the gap between AI’s promise and operational reality—identifying high-value opportunities, designing practical solutions, and ensuring your teams adopt them. Our PRISM Method brings industrial discipline to AI transformation.
The Problem:
Companies chase AI trends without clear business cases. Pilot projects multiply but nothing scales. Budgets burn with little to show.
Our Approach:
We start with your business problems, not AI capabilities. Where are your bottlenecks? What’s costing you time and money? Then we determine if AI is the right solution—and which approach fits your maturity level.
The Result:
Every AI initiative comes with clear ROI projections, concrete success metrics, and realistic implementation timelines. We recommend AI when it creates value, and tell you when simpler solutions work better.
The Problem:
Generic AI strategies ignore your actual processes, data quality, technical debt, and organizational readiness. Beautiful presentations, impossible execution.
Our Approach:
We work at the process level. We map workflows, assess data landscapes, evaluate technical infrastructure, interview operational teams. The PRISM Method systematically identifies where AI can realistically create value.
The Result:
Implementation-ready roadmaps with specific technical approaches, data requirements, integration plans, and change management strategies. AI solutions designed for your reality.
The Problem:
AI projects fail more often from organizational rejection than technical issues. Teams resist, adoption stalls, value never materializes.
Our Approach:
We integrate technical expertise (CTO-level AI/ML) with organizational change mastery (HR, coaching, adoption strategy). Every AI solution addresses both technical feasibility and human factors.
The Result:
AI implementations that stick. Teams that embrace new capabilities. Value that compounds over time instead of pilots that fade away.
Our playbook
A structured, dual-track method to discover, rank, and deliver process improvements with or without AI, anchored in value creation and change readiness.
Start small, prove value fast, scale what works. Transparent scope. No vendor lock-in.
Illustrative outcomes from applying the playbook across operations, support, and back-office.
Queue busting + touches eliminated via workflow redesign and AI assisted checks.
Scheduling optimisation and parts readiness play. Clear rules, light AI.
Template-free document capture, straight-through posting, exception routing.
Strategy decks and isolated pilots are not enough. We pair hands-on technical leadership with people-first change expertise so AI investments become everyday reality.
Senior software engineers and product leaders who have built and scaled platforms in production—cloud, data, and AI. They architect solutions, write code when needed, and de-risk integration with your existing stack.
You get pragmatic roadmaps, technical guardrails, and the engineering rigor required to keep velocity high while protecting reliability and security.
HR strategists, certified coaches, and adoption experts work alongside delivery teams to surface resistance, redesign incentives, and build new capabilities across roles.
Training plans, communication cadences, and workflow redesign ensure AI lands sustainably—so teams own the new way of working instead of reverting to old habits.
Bring one process. We’ll map it, estimate upside, and outline a tailored plan for you. No obligations.