Business Workflows Visualize your business workflows within your organization from the perspective of AI enhancement

Information Architecture Visualize your current Information Architecture to help identify where and how you can extract more value from your data using AI (either for internal operations or for your customers). Make the right decisions early on when choosing between cloud-based or on-prem AI solutions.

AI Readiness Assessment Identify AI readiness levels with respect to your existing enterprise tools, best practices and team tasks. Metisma uses a proprietary AI-driven database to rapidly extract high value opportunities based on your industry.

Core KPI Identification Select efficiency metrics, quality metrics, adoption/engagement metrics that can be positively and reliably impacted by AI.

Use Case Prioritization Identify then prioritize use cases for AI adoption: from easy wins to high-impact ROI

SWOT Analysis See how competitors using AI could threaten your current business and turn this into an opportunity

AI Competency Assessment Identify competency gaps and define an engagement strategy and monitoring plan to ensure your teams feel that AI is helping rather than replacing, with active participation in the journey.

User Experience Design Design AI-supported tasks that are appreciated by employees and integrated smoothly into workflows. UI/AI task design includes automation of menial tasks, quality control, staff communication, cognitive load, and error-rates.

Learning Pathways Select a competency management plan that ensures your staff develop AI skills for their business tasks. Our learning pathway tool identifies time and costs for leveling up team competencies.

Use Case Workshops Get teams involved early in the transformation process. Identify process bottlenecks, tasks that energize workers, and tasks that drain motivation to derive focused use cases.

Job-Ready Training Affordable training programs based on pre-defined learning pathways, geared to specific team roles and activities. Heavy focus on hands-on practical work with existing tools and processes.

System Architecture We help you select the right AI architecture and set of (multi-modal) models to fit your organization's digital structure, cost restrictions, performance requirements, toolchains and processes in a future-proof way.

Rapid Prototyping Stage-gated pilots that prove value and help you make decisions fast. From RAG-enabled chatbots to advanced agentic workflows.

Integration and Testing Build solutions that integrate with your enterprise platform of choice (Microsoft, Google, Amazon, other) or run AI locally. Avoid lock-ins by designing solutions that allow integration of any AI provider (Anthropic, OpenAI, Azure, Gemini, …). Define testing processes with mitigation strategies for errors.

Validation Pilots Design and conduct studies to validate hypothesized KPI/ROI improvements, without interfering with existing workflows and incorporating staff feedback into data collection and monitoring phases.