This service rapidly designs, builds, and tests targeted AI solutions to validate business impact, technical viability, and operational fit using real-world or sample data. Through structured prototyping, cost estimation, and feasibility assessments, we empower organizations to make informed investment decisions and confidently progress toward scalable AI deployment.
Our Approach
Prototype Development to Demonstrate Value
Design and build targeted AI prototypes or proof-of-concept solutions in our environment, rooted in customer-specified use cases.
Illustrate tangible business impact and validate hypotheses using real or sample datasets in a controlled demo environment.
Feasibility Assessment
Evaluate technical viability, operational fit, and scalability through hands-on experimentation and iterative testing.
Use frameworks such as Lean AI, Agile prototyping, and stakeholder feedback to refine solution requirements.
Enablers to get to Production & Cost Estimation
Identify and quantify the resources, infrastructure, and integration efforts needed to transition prototypes into full production.
Provide clear cost breakdowns covering technology, data, deployment, and long-term support, enabling informed investment decisions.
Structured Approach
Define success criteria and assessment scope in consultation with the client.
Build and test prototypes with sample datasets and supporting documentation.
Deliver actionable options for next steps including full-scale deployment, vendor selection, or further refinement.
Deliverables
Working prototype or demo in our environment
PoC report with findings and performance metrics
Recommendations for next steps (scale, pivot or stop)
Stakeholder presentation
Timeline
8 weeks depending on complexity and data availability
Outcome
Equip decision-makers with evidence-based insights on project feasibility, potential business value, and implementation costs to support confident go/no-go decisions for AI adoption.
