Why AI Programs Stall
Tools purchased without process redesign or change management
Shadow AI: unofficial tools create compliance and data risks
Low user confidence and lack of early wins kill adoption
No grounding in company data, leading to accuracy issues
The AI Adoption OS™
A proven 3-Phase system for enterprise AI success.
Phase 1: Educate —
Executive Alignment (Half-Day)
-
Reset expectations: what AI is and isn’t
-
Define responsible AI: ethics, governance, privacy, risk
-
Live demos: Finance, Sales, Marketing, HR, Customer Support
-
Outcomes: aligned leadership, shared vocabulary, informed sponsorship
Phase 2: Investigate —
The Grounded Intelligence Framework™ (2–4 Weeks)
​A structured discovery and prioritization framework to find real ROI.
-
Stakeholder Interviews — executives, managers, power users, frontline staff
-
Process Mapping — SOPs, decision flows, handoffs, data touchpoints
-
Bottleneck Analysis — delays, rework, repetitive tasks
-
Impact–Effort Prioritization Matrix™ — rank use cases by business value vs. complexity
-
AI Strategy Playbook — readiness score, opportunity map, roadmap, governance model
​​
Deliverables:
-
AI Readiness Scorecard
-
Departmental Opportunity Map
-
Prioritized Use-Case Matrix
-
90-Day Action Plan with owners and KPIs
Phase 3: Implement —
Pilot to Scale (4–8 Weeks+)
This is where ROI shows up in the numbers.
-
This is where ROI shows up in the numbers.
-
Quick Wins — automations that deliver immediate value
-
Custom Agents & Workflows — built on your data, for your SOPs
-
Tool Fit & Integration — aligned with your tech stack and compliance
-
Change Management — training, adoption dashboards, incentives
-
Governance Kit — permissions, logging, human-in-the-loop controls
-
Feedback Loops — measure ROI, track adoption, scale with confidence
​​
Outcomes:
Working automations, trained users, tracked adoption, and measurable impact on costs, efficiency, and throughput.
Why Dataliction
.png)
-
Strategy-first: every recommendation ties directly to business outcomes
-
20+ years scaling companies to $35M+ ARR; raised $180M+ in capital
-
Cross-industry expertise: SaaS, Healthcare, Construction, Public Sector
-
Unique blend of business acumen, AI fluency, and change leadership
The Business Case to Act Now
Enterprise AI projected to grow ~33% annually through 2034
Leading organizations shifting 10–20% of R&D budgets to AI
58% of companies already adjusting hiring and resourcing based on AI impact
Teams that operationalize AI today gain a compounding competitive edge
Take the Next Step
Don’t join the 95% of failed AI projects.
Join the 5% who turn ambition into measurable advantage.
.png)