Protimize follows a four-phase methodology — discovery, architecture, implementation, and optimization — to design automations, dashboards, and analytics with measurable outcomes, without replicating spreadsheet logic.
Map current processes, data sources, bottlenecks, and ownership gaps across your operations.
Design scalable systems — automations, data models, and dashboards — aligned to your existing stack.
Build, test, and deploy with your team's involvement — automations, dashboards, and data pipelines.
Measure outcomes against baselines, iterate on systems, and scale what works across the organization.
We define baseline metrics upfront and track improvements throughout — cycle time, manual hours, reporting velocity.
Star-schema models, centralized metrics, and modular automations built for long-term maintainability.
We build with your operations team, document everything, and hand off systems your team can run independently.
Every engagement starts with measurable baselines so progress is visible — not assumed.
Discovery takes 2–4 weeks. Architecture adds 1–3 weeks. Implementation ranges from 4–12 weeks depending on scope. Optimization is ongoing — many clients continue with retainer support.
We work collaboratively. Your team participates in discovery workshops, reviews architecture decisions, and joins handoff sessions. We design systems your team can maintain — not dependencies on us.
Yes. We prioritize optimizing within your current stack — Google Workspace, Power BI, Looker Studio, CRM, ERP — before recommending new tools.
Yes. Most engagements are delivered remotely across the United States. On-site discovery and executive workshops are available in the San Francisco Bay Area.
Book a strategy session and we'll map your highest-impact opportunity — no commitment required.
