Guiding you through AI adoption
Planning
The well-planned strategy is a foundation for successful AI implementation. Thus, we strategically approach the planning phase, helping businesses define clear goals, ensure data readiness, and mitigate investment risks to achieve high-value opportunities from AI initiatives.
- Team awareness training on AI capabilities and utilization.
- Data assessment to ensure data is ready for AI model training.
- Use cases analysis & high-impact AI opportunities identification.
- AI Integration strategy with PoC & success criteria validation.
- PoC scoping to define impactful yet cost-efficient test cases.
Experimentation
With only 8-15% of AI PoCs moving beyond the pilot stage, efficient AI experimentation requires a complex approach. Our experts help test ideas while keeping risks and costs low. We narrow the scope, use AI-driven data tools, and accelerate PoCs.
- Data discovery and preparation using cherry-picked products for automated data scouting and labeling.
- Rapid PoC development with pre-built tools to quickly test AI models on structured datasets.
- AI experimentation workshops, aligning PoCs with business needs through stakeholder collaboration.
- Iterative PoC validation and success evaluation with defined KPIs and precise feasibility assessments.
Stabilization
Even with a successful pilot, scaling AI solutions may still be challenging. High investment costs, governance gaps, and unoptimized processes are what hinder progress. We help clients overcome those by offering all-out guidance in AI solution scaling into production.
- Advisory on co-financing programs from hyperscalers and investors.
- Consultancies on AI governance, security, and compliance.
- Process optimization for seamless integration of AI workflows.
- Workshops on structuring AI initiatives for long-term business value.
Expansion
As AI projects expand, they scale to entire enterprise operations. Sigma Software experts support clients during the organization-wide adoption process, helping with AI industrialization, scaling, and automation according to the best practices.
- Training programs on AI literacy for teams & business units.
- AI Center of Excellence setup & consulting on expertise unification.
- MLOps implementation and AI processes automation.
- AI-powered product development and integration.
- Data strategy consulting on data sources expansion and governance.
