AI Consulting for practical, measurable transformation
We help companies identify the right AI opportunities, evaluate feasibility, define priorities, and build a roadmap tied to real business outcomes. Our approach turns AI from a vague initiative into a clear plan with use cases, constraints, timelines, and KPIs.
AI projects
AI projects often fail before development starts: the use case is unclear, the data is not ready, the expected impact is vague, or the organization has no clear path from idea to deployment. Inferendo helps teams structure the decision process, so AI investment is based on opportunity, feasibility, and measurable value rather than hype.
We work with companies that want to understand where AI fits across e-commerce, internal operations, customer support, knowledge workflows, and digital products. Our consulting is designed to create clarity fast and reduce the risk of building the wrong thing.
What we do
- Use-case discovery — We map processes, friction points, and growth opportunities to identify where AI can improve speed, accuracy, personalization, or efficiency.
- Roadmap definition — We prioritize initiatives by value, complexity, dependencies, and time to impact.
- Feasibility analysis — We assess data quality, technical constraints, integration requirements, governance needs, and delivery risks.
- KPI design — We define success metrics before implementation, from conversion lift and resolution time to catalog coverage, retrieval quality, or automation rate.
How we work
- Discovery
We analyze the business context, current workflows, pain points, and existing systems to understand where AI can create real leverage. - Opportunity mapping
We identify candidate use cases and compare them by business value, technical effort, data readiness, and organizational fit. - Feasibility review
We validate whether the use case is realistic now, what dependencies exist, and what architecture or operational changes may be needed. - Roadmap and KPIs
We turn findings into a practical execution plan, with priorities, milestones, ownership, and measurable success criteria.
Typical consulting outcomes
- AI opportunity map by business area.
- Prioritized use-case backlog.
- Feasibility report.
- Data and systems assessment.
- High-level solution recommendations.
- KPI framework and success scorecard.
- Phase-by-phase implementation roadmap.
Example use cases
- Identify the most valuable AI use cases for an e-commerce business.
- Evaluate whether semantic search or recommendations will improve product discovery.
- Define a roadmap for internal AI assistants across sales, support, and operations.
- Assess whether a classification or retrieval workflow is viable with existing data.
AI consulting should end with decisions, not slides. Inferendo helps companies leave the strategy phase with a prioritized plan, realistic expectations, and a clear path to implementation.