Why a 10-Day Readiness Assessment?
SMBs don’t need months to figure out where AI can help. Our 10-day approach rapidly identifies high-impact, low-risk opportunities, validates data readiness, and aligns stakeholders—so you can move from AI-curious to AI-capable with confidence.
Days 1–3: The Assessment — Pinpoint AI-Ready Opportunities
- Process Analysis: Map key workflows and bottlenecks. Look for repetitive, measurable tasks (e.g., email triage, FAQs).
- Pain-Point Interviews: Talk to front-line staff about time sinks and quality issues—these often reveal quick wins.
- Measurable Objectives: Replace vague goals with targets like “reduce order processing time 30%” or “lift retention 15%”.
Days 4–6: The Data — Unlock Your Hidden Goldmine
- Data Inventory: Catalog sources (spreadsheets, CRM/ERP, ticketing, web analytics) and formats.
- Quality & Access: Check completeness, freshness, and accessibility; note PII/PHI/PCI risks.
- Centralize for Insight: Land operational data into BigQuery for unified analysis and fast joins.
- Security & Compliance: Plan redaction and policy enforcement (e.g., Cloud DLP) to meet GDPR/CCPA expectations.
Days 7–10: The Stakeholders — Build Trust and Champions
- Augmentation, Not Replacement: Position AI as copilots that reduce toil and raise consistency.
- Transparency: Use explainability where predictions affect customers; show factors and boundaries.
- AI Champions: Nominate departmental leads to pilot usage and share patterns that work.
- Continuous Learning: Encourage ongoing upskilling (e.g., Google Cloud Skills Boost) and short “AI Innovation Days”.
What You Leave With
- Prioritized use-case scorecard with ROI, risk, effort, and data readiness.
- Data map (sources, owners, quality flags) and initial governance notes.
- 90-day execution roadmap with KPIs, guardrails, and decision gates.
Want a guided assessment? inquiries@ssr-research.ai