Value first
Start with high-impact scenarios — the decisions that matter most to your business.
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Proof of concept
Your pathto value
A data-first approach to demonstrating aangine’s impact — before you invest in integration. Prove value in 3-5 weeks.
Philosophy
Data first. Value first.
We believe in proving value before you commit to implementation. Here’s our approach.
Data understanding
We learn your data structure, business logic, and decision-making patterns upfront.
Prove before invest
Demonstrate clear ROI before making long-term technical commitments.
Integration last
Only integrate after you’ve confirmed aangine solves the right problems.
Execution
5-phase methodology
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Phase 1: Discovery
4-6 hours
- Business context interviews
- Decision scenario prioritization
- Success criteria definition
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Phase 2: Data demo
6-10 hours
- Data structure review
- Mock-ups and prototypes
- Scenario walkthrough
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Phase 3: Import
6-12 hours
- Data extraction and mapping
- Quality checks and validation
- Platform configuration
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Phase 4: Value demo
6-10 hours
- Scenario execution
- Stakeholder demos
- Impact quantification
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Phase 5: Integration
4-8 hours
- Integration planning
- Technical architecture
- Implementation roadmap
Data approach
Two paths forward
Choose the approach that matches your current data maturity and PoC timeline.
Option A: Sample-based portfolio
Best for organizations without complete historical data or tight privacy constraints. We create a representative sample portfolio that demonstrates value.
Option B: Production data
Best for organizations with documented portfolio data. Real data = real insights. Shows the impact in your own business context.
Timeline
Choose your pace
Fast-Track
3-5 Days
Full dedication
Your team commits 100% for 1 week. We complete the entire PoC rapidly, ideal for time-sensitive decisions.
Requires: Executive alignment on priorities, 2-3 team members full-time, decision maker availability
Standard
3-5 Weeks
Flexible scheduling
Phased approach with 1-2 team members part-time. Allows parallel work. Thorough evaluation and learning.
Requires: 6-8 hrs/week commitment, bi-weekly sync meetings, documented feedback
Value indicators
Measuring PoC success
We track tangible, quantifiable indicators that predict long-term value.
Portfolio visibility
Before: X projects tracked. After: All projects visible with consistent data.
Impact: Better decision context, reduced surprises.
Anomaly detection
Number of hidden risks surfaced. Risks that weren’t visible in existing tools.
Impact: Faster risk mitigation, reduced failure rates.
Planning efficiency
Time to execute a complex scenario. Before: Days to weeks. After: Minutes to hours.
Impact: Faster stakeholder alignment.
Behavioral change
Organization adopting data-driven language in planning meetings. Team using aangine insights to inform decisions.
Data quality insights
Issues discovered in production data during PoC. Opportunities to improve ongoing data collection and hygiene.
Executive engagement
Level of stakeholder enthusiasm and commitment to moving forward. Confidence in the solution and its long-term value.
Success criteria
What success looks like
Data quality
- Understanding of data quality, gaps, and opportunities.
- Documented data issues that affect decision-making quality.
Value realization
- Demonstrated ROI: faster decisions, better scenario analysis, clearer insights.
- Quantified impact on 2-3 key decisions.
Technical fit
- Clear integration approach.
- API mapping validated.
- Cloud platform confirmed.
- Deployment model selected.
Get started
Ready to start your PoC?
Let’s discuss which path is right for your organization and get started.