Bringing Practical AI to ARANER

Key Objectives & Opportunities

AI-Enhanced Lead Capture & Qualification

• Immediate Response: Automate inbound inquiries with an AI calling agent that greets potential clients, qualifies them, and routes them directly to the right person. This frees your team to focus on larger, more strategic accounts
• Streamlined Email Handling: Use AI to respond to basic technical questions or direct them to relevant resources (like your reference eBooks), cutting manual email back-and-forth

Technical Project Analysis & Reporting

• On-Demand Insights: AI-driven dashboards that track system performance (e.g., cooling loads, energy usage, turbine efficiency) in real-time, alerting you when anomalies or cost overruns occur
• Automated Documentation: Convert engineering reports, test logs, and sensor data into easily digestible summaries for clients or internal teams, saving hours of manual work

Custom GPT for Industry-Focused Content

• Quick Turnaround on Proposals: Let a custom-trained GPT model do the heavy lifting on first-draft proposals or solution outlines, ensuring consistent quality
• Industry-Specific Insights: Train it on ARANER’s unique knowledge base—existing whitepapers, eBooks, and project documentation—so it can generate valuable new content, from marketing briefs to technical guides

Workflow Optimization & Operations

• Data-Driven Decision Making: AI can flag patterns (e.g., repeated system inefficiencies, potential cost savings), helping your engineers solve issues before they escalate.
• Predictive Maintenance: For large-scale systems like district cooling and thermal storage, we can create AI models that predict maintenance windows, preventing costly downtime

These are initial suggestions that will likely evolve once we dig deeper into your specific workflows

Our Recent Case Studies

We’ve worked with various companies to deliver AI solutions that drive efficiency and profitability. Here are two recent examples:

Hayes Media – AI Calling Agent for an E-Commerce Brand

• Challenge: Hayes Media’s eCommerce client wanted to convert more one-time customers into subscription buyers—efficiently and at scale
• Approach: We built an AI-powered dialer that automatically calls customers who’ve purchased once and pitches them on a subscription plan. The process included designing call scripts, integrating them with CRM data, and ensuring seamless handoff to live reps for complex inquiries
• Outcome: Within one week, the system was fully operational, 100% automated, and delivering consistent upsells. Hayes Media has since referred multiple new clients to us for similar AI-driven projects

LoudFace – 100% Automated Lead Capture

• Challenge: LoudFace, a UAE-based Webflow and design agency, needed a reliable way to capture and follow up on inbound leads quickly. Missing or delaying lead follow-ups meant potential clients fell through the cracks
• Approach: We implemented an AI-driven lead capture flow that triggers immediate responses, qualifies leads, and routes them to the appropriate team member
• Outcome: LoudFace now boasts 100% automated lead capture. The system was launched within a week and has drastically improved follow-up times and lead conversion

Proposed Scope & Phases

These are initial suggestions that will likely evolve once we dig deeper into your specific workflows

Phase A: Discovery & Roadmap

1. Deep Dive
   • Understand ARANER’s processes, from lead generation and client onboarding to project execution and post-project support
   • Identify the biggest ROI potential for AI, focusing on large-scale cooling/heating solutions and advanced engineering workflows
2. Technical Assessment
   • Review your existing systems, data pipelines, and security protocols
   • Determine which AI models (text, voice, analytics) will integrate best without adding operational risk
3. Roadmap Presentation
   • Provide a clear plan that lays out high-impact AI opportunities, what metrics matter most (e.g., reduced lead handling time, faster project reporting), and how success will be measured
   • Deliverable: A tailored AI Roadmap with prioritized recommendations

Phase B: Implementation & Testing

1. Lead Capture & Voice Agent
   • Deploy an AI calling agent or chatbot that can handle top-of-funnel inquiries
   • Integrate it with your CRM to ensure qualified leads are handed off seamlessly
2. Custom GPT Development
   • Build a GPT-based content engine trained on ARANER’s documentation, reference eBooks, and case studies
   • Use it for quick-turn technical proposals, marketing copy, or project briefs
3. Real-Time Analytics & Pilot
   • Implement performance dashboards that centralize data from your existing measurement tools
   • Run a pilot to gather performance data (e.g., improvement in lead conversion, time saved on proposal writing, or clarity in technical reports)
4. Feedback & Iteration
   • Gather input from internal teams—engineering, marketing, operations—and refine the AI tools for better accuracy and user satisfaction.
   • Deliverable: Fully functioning AI solution in production, backed by initial performance metrics

Phase C: Ongoing Growth & Optimization

1. Performance Monitoring & Maintenance
   • Continuously track how the AI-driven processes are contributing (e.g., lower overhead, faster deal cycles, better client experiences)
   • Conduct regular audits to ensure data integrity and system security
2. Expansion of Workflows
   • Explore further AI integrations: predictive maintenance for district cooling plants, more advanced analytics for cost savings, or advanced marketing automation for new project bids
3. Proactive Partnership
   • We’ll keep you updated on emerging AI tools and best practices, tailoring them to ARANER’s evolving needs
   • Deliverable: A sustainable AI ecosystem that grows as ARANER does, constantly iterated and improved

Timeline Overview

Below is a rough initial timeline. We can adjust once we know more details about your internal systems and scheduling needs:

Week 1–2: Discovery & Roadmap

• Stakeholder interviews (key engineering, operations, and sales leads)
• Systems audit & opportunity mapping
• Present final AI Roadmap

Week 3–6: Implementation

• Deploy AI lead capture agent
• Stand up Custom GPT model & integrate into proposal/content workflow
• Pilot analytics dashboards, gather real-time usage feedback

Week 7–8: Refinement & Launch

• Iterate on user feedback & fix any issues
• Final rollout of solutions
• Post-launch monitoring set up

Ongoing (Month 2+):

• Maintenance, optimization, expansion into new use cases
• Regular check-ins to ensure AI solutions are aligned with ARANER’s goals

Next Steps

1. Align on Scope
   • Let us know if this general approach resonates with your goals or if you have any particular areas you’d like us to focus on
2. Kickoff & Roadmap
   • Once we have the green light, we’ll schedule a deeper discovery call to finalize objectives and begin the technical deep dive
3. Implementation & Ongoing Partnership
   • After we agree on the roadmap, we move into implementation and keep you updated on a weekly or bi-weekly basis

Our priority is understanding if AI can truly enhance ARANER’s current workflows, reduce overhead, and bring more efficiency to your massive energy solutions. If it’s a fit, we’ll hash out specifics on a quick call—covering next steps, timelines, and budget.

We appreciate the opportunity to partner with ARANER and look forward to helping you harness practical AI. Feel free to reach out if you have questions or want to discuss anything in more detail.

Looking forward to your feedback,
Jordan Hayes
Co-Founder, Yander Labs