The Solution Consultant aligns business outcomes with technical feasibility across the full Process Intelligence stack. They translate executive goals into implementable use-cases, architect the solution path (data, apps, automation), and de-risk delivery with crisp governance and measurable value.
Phase I equips Solution Consultants with the diagnostic, technical, and domain capabilities required to design and deliver real solutions.
Learn to read real process behavior, identify root causes, and prioritize solution opportunities across core domains.
Build reliable data models and process views that support robust and scalable solution design.
Design dashboards, applications, and automated actions that turn insight into execution.
Phase I ensures Solution Consultants can move confidently from diagnosis to design to delivery.
Value-to-Solution mapping — target KPIs, root causes, feasible actions
Blueprint & roadmap — data sources, integrations, apps, orchestration
Governance & delivery — intake→prioritization, definition of done, QA
Stakeholder alignment — exec sponsors, process owners, IT/EA, partners
Adoption & success — usage metrics, enablement, benefits tracking
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Turn strategy into prioritized, feasible use-case portfolios with clear KPIs
Bridge C-suite narratives and engineering constraints without losing momentum
Normalize stakeholders around a single operating plan and decision cadence
Proactively surface risks/assumptions and negotiate trade-offs before they escalate
Make adoption design-time (enablement, dashboards, runbooks baked in)
The technical foundation that powers solution excellence
Process streams (O2C, P2P, Inventory/Production) and their KPIs
Event data & modeling (schemas, variants, conformance, quality)
Solution patterns (dashboards, apps, automations, NBAs, SLAs)
Enterprise integration (ERPs, data platforms, APIs, security)
Change mechanics (enablement journeys, rollout, measurement)
Portfolio time-to-value and % use-cases delivered on time
Adoption (active usage, coverage, frequency) and benefits realized
Risk burn-down vs. plan; escaped defects; rework avoided
Stakeholder satisfaction (exec/QBR quality, sponsor NPS)
Scalability (reusable components, repeatable patterns)
Use-case intake triage and prioritization
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Your collaboration network spans technical and business stakeholders
Internal: Product/Solution, Value Engineering, Delivery/PS
Customer: Exec sponsors, CoE, process owners, IT/EA, data platform
Partners: SIs/consultancies for implementation and change
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