Sample AI Readiness Report
This is an example of the decision-ready plan you'll receive.
Best first move
Run a 4-week pilot for AI-powered quote generation to prove value and build momentum.
Overall readiness scores
Impact reflects business upside; Feasibility reflects readiness; Opportunity blends both (60/40).
Opportunity
Significant
Impact
Feasibility
See the full sample report
Pillar breakdown
An overview of your scores in each key readiness area.
- Strategy65%
- People45%
- Process75%
- Tech80%
- Data55%
Implications:
- Your organization lacks some key roles for AI governance, which could slow down project approvals.
- Data is somewhat siloed, which may increase prep time for the first AI project.
Top 3 recommended use cases
Your most valuable and feasible AI opportunities to pursue now.
1. AI-Powered Sales Quote Generation
Reduce quote turnaround from 3 days to 2 hours
Why it fits you now:
- You mentioned 'slow manual quoting' as a major pain point for your sales team.
- Your use of Salesforce provides a clear integration point for customer and product data.
- The high volume of 500+ quotes per month indicates a strong potential for time-saving benefits.
Quick win (≤6 wks)90Impact
75Feasibility
60Data fit
2. Intelligent Lead Scoring & Routing
Increase lead-to-opportunity conversion rate by 15%
Why it fits you now:
- Your goal to 'increase sales productivity' aligns directly with focusing efforts on the best leads.
- With over 10,000 new leads per month, automation is critical to avoid missed opportunities.
Medium (2 to 3 mo)85Impact
80Feasibility
70Data fit
3. Sales Forecasting with Predictive Analytics
Improve forecast accuracy from 70% to 85%
Why it fits you now:
- Your leadership has challenged the accuracy of current forecasting methods.
- You have several years of sales data in your CRM, which is a great asset for training a model.
Long (4 to 6 mo)80Impact
65Feasibility
75Data fit
Feasibility & risks
Key considerations for a successful implementation.
People: Sales team may resist adopting a new quoting tool, fearing it's too complex.
Involve top-performing sales reps in the pilot design and feedback process.
Process: Existing quote approval workflows are manual and could bottleneck the new system.
Map and simplify the approval process before full tool rollout.
Tech: Integration with the legacy CRM might be more complex than anticipated.
Develop the pilot with a flat-file import/export first to de-risk CRM integration.
Data: Product-specific pricing rules are not consistently documented.
Create a centralized pricing rulebook as a prerequisite for the pilot.
Your 14-day action plan
Concrete next steps to build momentum.
| Task | Owner | Effort |
|---|---|---|
| Identify and formally nominate the Project Sponsor for the AI pilot. | Leadership | S |
| Select 3-4 sales reps to participate in the pilot program. | Sales Manager | S |
| Document the end-to-end current state quoting process. | Project Lead | M |
| Gather all existing digital pricing and product configuration documents. | Product Manager | L |
| Define specific success metrics for the pilot (e.g., time-to-quote reduction %). | Project Lead | M |
| Set up a weekly 15-minute check-in with the pilot team. | Project Lead | S |