Services across the AI lifecycle
MTK Solution advises on, builds, modernises and runs AI for enterprises, with its own platforms supporting each stage of delivery.
Where to start
Five service lines, from strategy to operations
Choose this when …
AI ideas exist, but there is no agreed plan, budget or owner.
Advise
AI Strategy & Transformation
The entry point: where AI creates value, what it takes, and a governed plan to deliver it.
- AI strategy and value roadmap
- AI readiness assessment
- AI operating model and governance
- Process redesign for AI
- AI adoption and enablement
Choose this when …
Data sits in separate systems and the same KPI has several definitions.
Build
Data & AI Platforms
Governed data foundations in the client's cloud, ready for analytics and AI.
- Data platform modernisation
- Data engineering and integration
- Data governance and quality
- Analytics and decision intelligence
Choose this when …
AI prototypes impress in demos but do not reach daily work.
Build
Applied AI & Agents
AI agents, generative AI and predictive models in daily work, with human approval where it matters.
- Generative AI and agentic workflows
- Predictive AI
- Document and knowledge intelligence
- AI engineering and MLOps / LLMOps
Choose this when …
Core systems are hard to change and work moves by email and re-keying.
Modernize
Intelligent Enterprise Applications
AI-native ERP, modernised core systems and custom applications on one data foundation.
- AI-native ERP implementation
- ERP modernisation and migration
- Enterprise integration
- Custom business applications
Choose this when …
AI is live and must stay accurate, secure and within budget.
Run
Cloud & Managed AI Operations
Secure cloud foundations and the ongoing operation of data, models and agents under agreed service levels.
- Cloud foundation
- Managed data and AI operations
- AI security and compliance
Start with
Two fixed-scope starting points
Each has a defined scope, duration and output, so the first decision carries limited risk.
2 weeks
AI Readiness Assessment
Data, processes, skills and governance reviewed against priority use cases, with real data profiled on MTK Intelligence. Output: a readiness score, a ranked use-case list and a next step.
Request an AI readiness assessment6 weeks
AI Pilot
One use case built on the client's data, with a baseline measured first and one agreed KPI measured after. Output: working software and a decision on scale-up.
Discuss an AI pilot
How we work
A five-stage path from AI strategy to production
Every service line follows the same path, and each stage is supported by an MTK platform.
Assess
AI readiness, data maturity and priority use cases.
Plan
Roadmap, business case, target architecture and governance.
Pilot
A first use case on real data, measured against agreed KPIs.
Scale
Rollout into core processes, integration and enablement.
Operate
Monitoring, adoption tracking and the next wave of use cases.
Working with MTK
Engagement models
Advisory
Assessments, roadmaps and workshops with defined scope.
Projects
Fixed-scope delivery of solutions and platforms.
Dedicated teams
Engineering teams that extend the client's own.
Managed services
Ongoing operation of applications and AI under agreed service levels.
Plan your first AI use case with MTK
Share your goals and constraints. MTK will propose a starting point and a practical plan.