Strategic AI Enablement Proposal — Ateo Systems × DayDreamers

Strategic Context

A Breakthrough Manufacturing Position

Ateo Systems has developed a UV light curing technology for battery manufacturing that delivers production speeds of 300m/min — compared to 15m/min with traditional thermal drying. This 10x speed advantage, combined with the elimination of solvents and lower capital requirements, represents a generational shift in battery production economics.

With Kodak as manufacturing partner, Microsoft as investor, and a $7M Series A closed, Ateo is scaling rapidly from proof-of-concept to global production. The next requirement is AI-enabled tooling to match the pace of commercial growth.

UV light curing technology — 300m/min vs 15m/min traditional production
Eliminates solvents, lower capital requirements, higher quality, no PFAs, all chemistries
Kodak as manufacturing partner — the TSMC equivalent for battery production
$7M Series A closed, Microsoft as investor with access to Microsoft AI lab
In production with the world's largest laptop maker
Scaling with Department of Defense customers
Production lines planned in Japan and the United States

Current Constraint

Scaling Sales Without Scaling Bottlenecks

Ateo's technology advantage is clear, but the commercial engine is not yet equipped to match the speed of its production capabilities. Several manual processes create friction in the sales cycle and limit the team's ability to capture demand efficiently.

Q

Quoting Efficiency

Sales team spends approximately 10 hours per quote. Modifications restart the cycle, creating significant delays in an accelerating sales pipeline.

L

Lead Identification

No systematic process for tracking and qualifying inbound prospects. Potential customers visit the site and leave without capture.

C

Customer Qualification

Manual discovery of battery requirements — liftoff parameters, duration, payload specifications — slows the path from inquiry to proposal.

S

Sales Content

AI tools cannot yet generate battery chemistry visuals and competitive comparisons that the sales team needs for technical buyer conversations.

D

CRM Utilization

Microsoft Dynamics is in place but not fully leveraged — disconnected from quoting, lead tracking, and customer qualification workflows.

Phase I

Sales & Operations AI Enablement

This engagement is designed to implement AI-enabled tools across Ateo's sales, marketing, and customer qualification workflows — creating immediate productivity gains and a foundation for Phase II battery optimization work.

I

Sales Process Automation

Build a quoting automation tool that reduces the 10-hour process to near-instant generation
Enable instant quote modifications without restarting the cycle
Design modification workflows that preserve version history and approval logic
Integrate quoting output with Microsoft Dynamics CRM

II

Lead Tracking & Qualification

Implement pixel tracking and PostHog for visitor identification
Build automated outreach workflows triggered by prospect behavior
Create a customer qualification tool that captures battery usage parameters
Develop a lead scoring and prioritization framework for the sales team

III

Content & Sales Enablement

Develop battery chemistry visuals and electrode comparison materials
Create product feature and competitive positioning content
Build reusable content templates for the sales team
Establish tool recommendations and a content generation playbook

Deliverables

What Ateo Receives

Quoting Automation Tool

Reduces the current 10-hour quoting process to near-instant generation with support for rapid modifications and version control.

B2B Lead Tracking System

Pixel tracking, prospect identification, and automated scoring to systematically capture and prioritize inbound interest.

Automated Outreach Workflows

Email and phone automation connected to lead tracking — triggering timely follow-up based on prospect behavior and scoring.

Customer Qualification Interface

Captures battery usage parameters — liftoff, duration, payload — to accelerate the path from inquiry to technical proposal.

Lead Prioritization Framework

A scoring model that helps the sales team focus on the highest-value prospects based on fit, intent, and engagement signals.

Sales Content Package

Electrode chemistry visuals, competitive comparison materials, and product feature content designed for technical buyer conversations.

CRM Integration Recommendations

A Microsoft Dynamics roadmap connecting quoting, lead tracking, and qualification workflows into a unified sales operations layer.

Content Generation Playbook

Templates and tool recommendations enabling the team to produce consistent sales and marketing content independently.

Phase II Recommendation

A scoped recommendation for AI battery optimization, software architecture, and Microsoft AI lab integration opportunities.

Expected Value

What This Enables

By the end of this engagement, Ateo should be better positioned to:

Reduce quoting time from approximately 10 hours to near-instant generation
Systematically identify and track inbound leads across channels
Qualify prospects faster through structured battery parameter capture
Equip the sales team with stronger visual and technical content
Better leverage Microsoft Dynamics CRM across the sales workflow
Build a clearer foundation for the AI-powered battery optimization vision

Potential Phase II

Battery Optimization & Platform Architecture

If Phase I proves successful, a second phase can be scoped separately. Phase II is not included in the current $20,000 scope and would be proposed following completion of Phase I.

AI Battery Design Optimization

Leverage manufacturing data to optimize electrode formulations, curing parameters, and production yield.

Microsoft AI Lab Integration

Partner with Microsoft's AI lab for material science discovery and advanced battery chemistry modeling.

Full CRM Automation

Microsoft Dynamics sales agents for pipeline management, forecasting, and automated deal progression.

Software Spin-off Architecture

Potential battery optimization platform — standalone software product built on Ateo's manufacturing data advantage.

Why DayDreamers

Practical AI Adoption

DayDreamers supports organizations that want to move beyond informal AI experimentation toward practical internal adoption. The team's work is centered on:

AI enablement for technical and cross-functional teams in hardware and manufacturing
Workflow design using existing platforms rather than building from scratch
Training tied to real internal use cases rather than abstract capability-building
Practical translation of AI tools into repeatable processes

Stanford University

Graduate-level research context and proximity to current AI tooling

Microsoft Research

Technical foundations and experience translating research into applied systems

MLH Top 50

Recognized builder and operator across technical communities

Anthropic / Claude Fluency

Deep specialization in the leading AI platforms for enterprise adoption

Selected institutions and teams

Chanel

Okta

GoodNotes

Stanford GSB

Johns Hopkins

HK PolyU

Selected Experience

Relevant Engagements

Clean Energy Company — AI Workforce Enablement

Multi-month engagement with a clean energy company's AI task force. Technology team saved 585 hours in 6–8 weeks, achieving 164% ROI. Designed 30-person internal hackathon and supported enterprise AI platform rollout.

Enterprise CRM & Sales Enablement

AI-powered sales automation with Salesforce and Microsoft Dynamics — quoting, lead scoring, and pipeline intelligence.

Enterprise Team Upskilling

Supported larger internal-team enablement efforts designed to move employees from curiosity to day-to-day AI usage.

Custom Tool Development

Built lead tracking systems, content generation tools, and process automation solutions for B2B sales organizations.

Investment

Pricing Summary

Phase	Scope	Duration	Investment
Phase I	Sales & Operations AI Enablement	12–16 weeks	$20,000
Phase II	Battery Optimization & Platform Architecture	TBD	Scoped separately

50%

On kickoff

50%

On completion

Getting Started

Next Steps

Raj to share scope of work document and Microsoft Dynamics CRM details
Confirm stakeholder group for discovery and working sessions
Align on preferred kickoff date and milestone checkpoints
Sign engagement letter and begin Workstream I

Strategic AIEnablement