July 2025 Launch Plan

Realistic First Steps to Test the Concept

Week 1-2: Foundation (July 1-14, 2025)

Documentation & Pricing Finalization

Finalize package descriptions and pricing (start with $15K assessment packages)
Create simple one-page package summaries for each service
Develop basic sales deck and discovery call framework
Set up simple CRM tracking for prospects and packages

Week 3: Market Research & Target Selection (July 15-21, 2025)

Georgia Market Focus

Identify 15-20 Georgia companies (50-500 employees) within 2-hour drive
Research their technology challenges, recent news, leadership
Focus on companies that might need AI strategy or platform assessment
Build initial prospect list with contact information

Week 4: Initial Outreach (July 22-31, 2025)

First Contact Campaign

LinkedIn outreach to 3-5 prospects per day using geographic trust approach
Schedule 3-5 discovery calls for early August
Goal: Secure first package engagement by end of July
Document what messages work, what doesn't

August 2025: First Package Test

1

Package Goal

$15K

Revenue Target

80%+

Client Satisfaction

3+

September Prospects

Can we replicate August success? Consistent quality delivery October 1-2 packages delivered Can we handle multiple projects? No quality degradation

End-of-Year Reality Check (December 2025)

What Did We Learn?

Market Response: Which packages sold easily? Which were hard sells?
Delivery Reality: What did packages actually cost us to deliver?
Client Satisfaction: Are clients happy enough to refer others?
Follow-on Potential: Any larger projects emerging from packages?
Geographic Viability: Is the Southeast approach working?

January 2026 Decision Point

If We Delivered...	Then We...	Because...
20+ packages successfully	Scale up for 2026	Concept validated, market exists
12-19 packages with good feedback	Continue testing, refine approach	Promising but needs optimization
6-11 packages with mixed results	Focus on best-performing packages only	Partial market fit, narrow focus
Under 6 packages	Stop or completely pivot	No market fit for this approach

Resource Requirements for 2025 Test

Time Investment

Sales/BD: 10-15 hours per week
Delivery: 15-20 hours per package
Admin/Follow-up: 5 hours per week
Total: ~25-30 hours per week

Financial Investment

Marketing/Outreach: $2K-3K
Tools/CRM: $1K-2K
Travel (Georgia/Tennessee): $3K-5K
Total Investment: $6K-10K

Success Signals to Watch For

Positive Indicators

Prospects respond positively to geographic/local positioning
Package pricing doesn't cause sticker shock
Clients are satisfied with delivery quality and value
Word-of-mouth referrals start happening naturally
Follow-on conversations begin emerging from packages

Warning Signs

Consistently low response rates to outreach
Packages take much longer to deliver than estimated
Clients see packages as overpriced for value delivered
No follow-on interest or opportunities emerging
Geographic strategy doesn't provide meaningful advantage

2025 Test Plan Summary

Goal: Deliver 18-24 packages to validate market fit
Revenue Target: $270K-$360K (break even or small profit)
Time Frame: July-December 2025 (6 months)
Geographic Focus: Georgia and Tennessee only
Key Learning: Does this approach work in the real world?

If This Works...

2026 Scaling Options

Target 3-4 packages per month consistently
Expand to North Carolina and South Carolina
Add team members for delivery support
Develop more sophisticated marketing

If It Doesn't Work...

Return to traditional consulting model
Pivot to different package offerings
Focus on direct sales without packages
Lessons learned for next approach

Digital Scientists: Complete Implementation Guide

Table of Contents

Executive Summary & Strategy

Package Portfolio Overview

Package 1: Proof of Concept

Package 2: Small MVP Development

Package 3: AI Readiness Assessment

Package 4: Platform Architecture

Package 5: AI Agent Implementation

Sales Scripts & Framework

Financial Analysis

Implementation Roadmap

Executive Summary & Strategic Framework

Paid Business Development Through Productized Services

Core Strategy: Relationship Building Over Pure Profit

Transform traditional sales activities into revenue-generating client acquisition investments while establishing Digital Scientists as the premier Southeast technology partner.

Strategic Approach

Packages as client acquisition investments
Local partnership within 3-hour drive radius
Face-to-face collaboration builds stronger relationships
Trust through exceptional delivery at accessible prices
Pipeline creation for $200K-$2M+ follow-on opportunities

Target Market Profile

Company Size: 50-500 employees
Annual Revenue: $10M-$150M
Geographic Focus: GA, TN, NC, SC
Decision Makers: CEOs, CTOs, COOs
Pain Point: Need advanced tech but lack internal expertise

$270K-$360K

2025 Revenue Target

18-24

Packages to Test Market

6 Months

Proof-of-Concept Timeline

Break Even

Financial Goal

Service Portfolio Overview

5 Core Productized Packages

Package	Service Area	Price	Duration	Team Size	Purpose
Proof of Concept Development	Product Design	$18,000	2 weeks	3 people	Technical feasibility validation
Small MVP Development	Product Design	$35K-$50K	4-8 weeks	4-5 people	Product market validation
AI Readiness Assessment	AI Delivery	$15,000	4 weeks	2 people	AI strategy and roadmap
Platform Architecture Assessment	Platform Modernization	$15,000	4 weeks	3 people	Modernization planning
AI Agent Implementation	AI Delivery	$15,000	4 weeks	2 people	Basic AI automation

Package Selection Framework

Start with Assessment Packages ($15K): AI Readiness or Platform Architecture
Progress to Implementation: Proof of Concept, AI Agent, or Small MVP
Natural Progression: $75K-$2M+ comprehensive implementations

Package 1: Proof of Concept Development

$18,000 | 2 weeks | 75 hours | 3 team members

Technical Feasibility Validation

"Can we build this idea quickly?"

$18,000

Investment

2 weeks

Duration

27%

Gross Margin

Purpose: Validate technical feasibility and user acceptance before major product investment. Perfect for testing new ideas quickly with real users and data.

Target Client: Companies with product ideas requiring validation before committing $100K-$500K to full development.

Detailed Process Timeline

1

Discovery & Planning

Days 1-2

Kickoff meeting, stakeholder alignment, technical architecture planning

2

Core Development

Days 3-5

Core functionality, API integrations, basic UI implementation

3

Testing & Refinement

Days 6-8

User testing with 10+ users, feedback analysis, optimization

4

Final Delivery

Days 9-10

Final presentation, cost estimates, go/no-go recommendation

Deliverables

Working Proof of Concept

Functional prototype demonstrating core value proposition

User Testing Report

Analysis of feedback from 10+ target users with actionable insights

Technical Feasibility Assessment

Detailed evaluation of technical requirements and implementation approach

Go/No-Go Recommendation

Data-driven investment recommendation with supporting evidence

Expected Follow-on Opportunities

Small MVP: $35K-$50K (4-8 weeks) | Medium MVP: $75K-$125K | Large MVP: $200K+ | Full Product: $300K-$1M+

Package 2: Small MVP Development

$35K-$50K | 4-8 weeks | 250-350 hours | 4-5 team members

Build-Measure-Learn Methodology

"Core features to validate hypothesis"

$35K-$50K

Investment

4-8 weeks

Duration

-4%

Gross Margin (Paid BD)

Purpose: Build production-ready MVP with 1-2 core use cases. Get product in users' hands for validation and market testing.

Target Client: Startups and growth companies needing to validate product-market fit before Series A funding or major market expansion.

MVP Specifications

Technical Scope

Use Cases/Workflows: 1-2
Personas: 1-2
Complexity: Low
Integration: 0-1
Platform: Mobile OR Web

Methodology

Build-Measure-Learn approach
Production-ready deployment
Beta user testing
Performance monitoring
Next phase roadmap

4-Week Process Map

1

Discovery & Strategy

Week 1

Product definition, user personas, technical architecture

2

Design & Development

Weeks 2-3

UX design, core development, 1-2 use cases implemented

3

Testing & Launch

Week 4

Beta testing, deployment, team training, roadmap

Expected Follow-on Opportunities

Medium MVP: $75K-$125K (2-3 use cases) | Large MVP: $200K+ (3+ use cases) | Full Product Launch: $300K-$1M+ | Ongoing Partnership: $25K-$75K/month

Package 3: AI Readiness Assessment

$15,000 | 4 weeks | 65 hours | 2 team members

"Start Small. Scale Smart. Deliver ROI." Methodology

"Where do we start with AI?"

$15,000

Investment

4 weeks

Duration

16%

Gross Margin

Purpose: Comprehensive evaluation of AI readiness with actionable 4-phase implementation roadmap using Digital Scientists' proven methodology.

Target Client: Medium-sized businesses (50-500 employees) aware of AI potential but uncertain where to begin.

AI Delivery Center Framework

AI Phase	Focus Area	Expected ROI	Investment Range
Phase 1	Internal AI Systems	15-25%	$75K-$200K
Phase 2	Customer-Facing AI	25-40%	$100K-$400K
Phase 3	Predictive Analytics	40-60%	$200K-$800K
Phase 4	Proprietary AI	60%+	$500K-$2M+

4-Week Assessment Process

1

Current State

Week 1

Technology inventory, stakeholder interviews, process analysis

2

Opportunity ID

Week 2

AI use cases, ROI analysis, feasibility assessment

3

Roadmap Development

Week 3

4-phase planning, technology requirements, budget allocation

4

Executive Presentation

Week 4

Board-ready presentation, recommendations, next steps

Deliverables

AI Readiness Report

Comprehensive assessment of current state, gaps, and readiness for AI adoption

4-Phase AI Roadmap

Detailed implementation plan with timelines, budgets, and ROI projections (15-60%+)

Use Case Portfolio

Prioritized AI opportunities with technical and business feasibility analysis

Executive Presentation

Board-ready presentation with strategic recommendations and next steps

Expected Follow-on Opportunities

Phase 1: $75K-$200K (Internal AI) | Phase 2: $100K-$400K (Customer AI) | Phase 3: $200K-$800K (Predictive) | Phase 4: $500K-$2M+ (Proprietary AI)

Package 4: Platform Architecture Assessment

$15,000 | 4 weeks | 75 hours | 3 team members

Cloud-Native Modernization Strategy

"Is our platform ready for the future?"

$15,000

Investment

4 weeks

Duration

6%

Gross Margin

Purpose: Comprehensive evaluation of current platform architecture with modernization recommendations, issue analysis, and detailed budget estimates.

Target Client: Companies with legacy systems, performance issues, or scaling challenges requiring modernization planning.

Platform Modernization Integration

Assessment Approach

AI-Augmented Replatforming Strategy
Hybrid delivery model (cost + speed + quality)
Cloud-native, API-first architecture
Reference to successful case studies

Key Focus Areas

Infrastructure architecture assessment
Performance bottleneck identification
Security and compliance evaluation
Technical debt documentation

4-Week Assessment Process

1

Current State Analysis

Week 1

Technical assessment, performance analysis, security review

2

Issue Identification

Week 2

Gap analysis, risk assessment, prioritization

3

Modernization Strategy

Week 3

Cloud-native design, API-first planning, implementation roadmap

4

Budget & Presentation

Week 4

Detailed cost estimates, executive presentation, next steps

Deliverables

Platform Health Assessment

Comprehensive analysis of current architecture, performance, and security

Issue Analysis Report

Prioritized platform issues with business impact and risk assessment

Modernization Strategy

High-level approach for cloud-native, API-first transformation

Detailed Budget Proposal

Comprehensive cost estimates with ROI analysis

Expected Follow-on Opportunities

Platform Modernization: $200K-$2M+ | Cloud Migration: $200K-$1M | API-First Rebuilds: $250K-$1.5M | Managed Services: $25K-$75K/month

Package 5: AI Agent Implementation

$15,000 | 4 weeks | 55 hours | 2 team members

Immediate AI Automation

"We need AI working now"

$15,000

Investment

4 weeks

Duration

39%

Gross Margin

Purpose: Deploy a simple AI agent for sales qualification OR customer support with basic integration. Designed for quick handover with minimal training.

Target Client: Companies needing immediate AI automation for specific use cases with existing CRM or help desk systems.

Two Specific Agent Options

Option A: Sales Assistant Agent

Lead qualification: Screen inbound leads 24/7
Initial outreach: Personalized follow-up emails
CRM data entry: Automatic contact updates
Quote generation: Initial pricing based on requirements
Pipeline management: Move leads through stages

Typical Impact:
• 300% more qualified leads processed
• 60% reduction in sales admin time
• 40% faster response to inbound leads

Option B: Support Assistant Agent

Tier 1 support: Handle common questions
Ticket routing: Intelligent categorization
Knowledge base queries: Instant answers from docs
Order status/billing: Routine account inquiries
Escalation management: Know when to hand off

Typical Impact:
• 70% of Tier 1 tickets resolved automatically
• 50% reduction in support workload
• 80% faster initial response time

4-Week Implementation Process

1

Planning & Setup

Week 1

Use case definition, system access, requirements gathering

2

Core Development

Week 2

AI agent development, training, basic integration

3

Testing & Refinement

Week 3

Performance testing, accuracy optimization, validation

4

Deployment & Handover

Week 4

Production deployment, documentation, training

Agent Selection Framework

Choose Sales Assistant When:

High inbound lead volume (50+ leads/month)
Sales team spending >30% time on admin
Slow response time to new leads (>4 hours)
Inconsistent lead qualification process
Need to scale without hiring immediately

Choose Support Assistant When:

High support volume (100+ tickets/month)
50% of tickets are routine/repetitive
Support team overwhelmed with basics
Slow initial response times (>2 hours)
Need 24/7 support without night shift

Expected Follow-on Opportunities

Enhanced AI Agent: $50K-$150K | Phase 2 AI Implementation: $100K-$400K | AI Platform Development: $200K-$800K | Ongoing Optimization: $10K-$30K/month

Sales Scripts & Conversation Framework

Geographic Trust Building & Local Partnership Approach

Opening Framework (Cold Call/LinkedIn Outreach)

Geographic Trust Opening:

"Hi [Name], this is [Your Name] from Digital Scientists here in Alpharetta. We've been helping Southeast companies like [similar company] implement AI and modernize their platforms without the massive investment of enterprise consulting firms. I noticed [specific observation about their business/industry] and thought we might be able to help. Do you have 2 minutes to chat?"

Key Elements:

Local positioning: "here in Alpharetta"
Regional focus: "Southeast companies"
Credibility: Reference similar company
Value proposition: Avoid massive consulting investment
Specific observation: Shows research and personalization
Low commitment ask: "2 minutes to chat"

Pain Point Discovery Questions

AI Exploration:

"Many companies your size tell us they're feeling pressure to adopt AI or modernize their platforms, but they're not sure where to start or don't want to spend $200K+ just to get a strategy. Is that something you're experiencing? What's your biggest technology challenge right now?"

Platform Issues:

"How would you describe your current technology infrastructure? Are you experiencing any performance issues, scaling challenges, or concerns about your platform's ability to support growth?"

Product Development:

"Are you looking to validate any new product ideas or features? What's holding you back from moving forward on product development initiatives?"

Local Trust Building:

"The difference is we're local - we come to your office, work with your team face-to-face, and we've been serving Georgia companies since 2007. We're not some remote consulting firm. We become your technology partner."

Solution Introduction Framework

Assessment Packages:

"We've developed a different approach. Instead of massive consulting engagements, we offer focused packages that get you real results quickly. For example, our AI Readiness Assessment gives you a complete 4-phase roadmap for $15K in just 4 weeks. Most companies find 3-5 opportunities worth 10x their investment."

Implementation Packages:

"If you're ready to move beyond planning, we can actually build and deploy solutions. Our AI Agent Implementation gets you working AI automation for $15K in 4 weeks, or we can build a proof of concept for your product idea for $18K in 2 weeks."

Call to Action Framework

Assessment Packages:

"Based on what you've shared, I think our [specific package] would be perfect for your situation. Why don't I drive down and spend an hour with you and your team next week? No charge, just want to understand your specific needs and show you exactly how we'd approach this. Does Tuesday or Wednesday work better?"

Implementation Packages:

"It sounds like you're ready to move beyond assessment and actually implement something. Our [specific package] could give you [specific benefit] in [timeline]. Let me come by and show you exactly how this would work for your situation. When would be a good time this week?"

Realistic 2025 Test Plan & Financial Analysis

Conservative Proof-of-Concept Through End of Year

Reality Check: Testing the Concept

This is a proof-of-concept year to validate the package approach. Follow-on work is optimistic at best and only possible in Q4 if we're lucky. Focus on execution, learning, and market validation.

Realistic 2025 Targets

2-3

Packages per Month (Goal)

18-24

Total Packages for Year

$360K-$480K

Total Package Revenue

1-2

Follow-on Projects (Maybe Q4)

Monthly Test Plan Progression

Month	Target Packages	Focus Area	Key Activities	Revenue Goal
Jul-Aug 2025	1 package	Process Validation	First pilot package, refine processes	$15K-$18K
Sep-Oct 2025	1-2 packages	Local Market Testing	Georgia/Tennessee prospects, feedback collection	$30K-$40K
Nov-Dec 2025	2-3 packages	Scale Testing	Can we handle multiple packages simultaneously?	$45K-$60K

Conservative Financial Reality

Revenue Stream	Conservative Estimate	Optimistic Estimate	Notes
Package Revenue (Jul-Dec)	$270K	$360K	18-24 packages × $15K average
Follow-on Revenue (Q4 only)	$0	$100K	Maybe 1-2 small projects if we're lucky
Total 2025 Revenue	$270K	$460K	Proof-of-concept validation

Package Mix Strategy (Realistic)

Start with Assessment Packages

AI Readiness Assessment ($15K) - Easier sell
Platform Architecture Assessment ($15K) - Clear need
Lower commitment, builds trust
Good for testing our delivery processes

Implementation Packages (If Ready)

AI Agent Implementation ($15K) - Quick wins
Proof of Concept ($18K) - Validate ideas
Small MVP ($35K+) - Only for confirmed ready clients
Higher value but much harder sell

Success Metrics for 2025 Test

18+

Packages Delivered

85%+

Client Satisfaction

3-5

Follow-on Opportunities Identified

Break Even

Financial Goal

What We're Really Testing

Market Validation Questions

Do clients actually value these packaged services?
Can we deliver consistently high quality at these price points?
Is the Southeast geographic strategy viable?
What's our actual conversion rate from packages to larger work?
Which packages have the best market fit?

Operational Learning Goals

Refine delivery processes based on real client feedback
Understand true cost and time requirements
Develop repeatable sales and marketing approaches
Build a pipeline of prospects for 2026
Validate team structure and resource needs

Go/No-Go Decision Points

Review Date	Continue Criteria	Stop Criteria	Pivot Options
September 2025	1+ package completed successfully	No packages sold after 60 days	Adjust pricing or package offerings
November 2025	3+ packages completed, positive feedback	Poor client satisfaction or delivery issues	Focus on best-performing package types
January 2026	15+ packages completed, pipeline for 2026	Can't maintain 2+ packages/month	Scale back to consulting or pivot strategy

2025 Reality: This is Market Research with Revenue

Primary Goal: Learn if this approach works in the real market
Secondary Goal: Generate enough revenue to cover costs
Stretch Goal: Build foundation for 2026 growth (if validated)
Follow-on Work: Nice bonus if it happens, but don't count on it

Realistic 2025 Implementation Roadmap

6-Month Proof-of-Concept Test Plan

Phase 1: Setup & First Package (July-August 2025)

July 2025: Foundation & Pilot Prep

Week 1-2: Finalize package documentation and pricing
Week 3: Identify 10-15 potential pilot clients in Georgia
Week 4: Begin outreach, schedule 3-5 discovery meetings
Goal: Secure first package engagement by end of July

August 2025: First Package Delivery

Deliver: First package (likely AI Readiness or Platform Assessment)
Learn: Document every issue, timing problem, client reaction
Refine: Adjust processes based on real delivery experience
Pipeline: Continue prospecting for September/October packages

Phase 2: Scale Testing (September-October 2025)

September-October Goals

Target: Deliver 1-2 packages
Focus: Can we maintain quality with multiple engagements?
Geographic: Expand to Tennessee prospects
Learning: Which packages are easiest to sell and deliver?

Phase 3: Volume Test (November-December 2025)

Year-End Push

Target: Deliver 2-3 packages
Test: Can we handle 2+ simultaneous packages?
Follow-on: Any Q4 follow-up work from earlier packages?
Planning: Evaluate 2026 potential based on results

Monthly Reality Check Targets

Month	Packages Goal	Revenue Target	Key Learning Focus	Success Metric
July 2025	0 (Setup)	$0	Can we generate interest?	1 package sold
August 2025	1	$15K	Can we deliver quality?	Client satisfaction 80%+
September 2025	1	$15K	Can we repeat success?	Consistent delivery process
October 2025	1-2	$15K-$30K	Can we scale operations?	Handle multiple projects
November 2025	2	$30K	What's our capacity limit?	Quality maintained at volume
December 2025	2-3	$30K-$45K	Any follow-on work yet?	Pipeline for 2026

Critical Questions We're Answering

Market Validation

Do clients actually buy these packages?
Which packages are easiest to sell?
What's the real sales cycle length?
Is Georgia/Tennessee a viable market?
What's our realistic close rate?

Operational Reality

Can we deliver consistent quality?
What's our actual delivery cost?
How many packages can we handle monthly?
Do clients want follow-on work?
What's our real capacity and margins?

2026 Decision Framework

2025 Results	2026 Action	Reasoning
15+ packages delivered successfully	Scale up: Target 3-4 packages/month	Concept validated, expand operations
8-14 packages with mixed results	Refine: Focus on best-performing packages	Partial validation, optimize approach
Under 8 packages delivered	Pivot or stop	Market doesn't support this model

2025 Success Definition

Minimum Success: 12+ packages delivered, break even financially, clear market feedback
Good Success: 18+ packages, positive client feedback, 1-2 follow-on projects
Great Success: 24+ packages, waiting list of clients, clear 2026 growth path
Key Point: This is market validation, not a growth year

Action Items & Next Steps

Immediate Implementation Framework

Immediate Actions (Weeks 1-2)

Week 1: Foundation Setup

Finalize package pricing and service definitions
Create standardized process documentation for each package
Develop initial sales materials and presentation templates
Identify and recruit core delivery team members
Set up project management and client communication systems

Week 2: Market Preparation

Develop target client list within 3-hour drive radius
Create LinkedIn and Google Ads campaigns
Prepare case studies and reference materials
Schedule initial prospect meetings and discovery calls
Establish quality assurance and feedback processes

30-Day Goals

3-5

Pilot Packages Completed

20+

Qualified Prospects Identified

5+

Discovery Meetings Scheduled

100%

Process Documentation Complete

90-Day Success Criteria

Metric	Target	Measurement Method	Success Indicator
Package Volume	6-8 packages/month	Monthly delivery tracking	Consistent monthly delivery
Client Satisfaction	90%+ satisfaction rating	Post-delivery surveys	High-quality delivery validation
Follow-on Identification	3-5 opportunities per package	Opportunity pipeline tracking	Strong business development results
Geographic Penetration	50+ companies engaged	CRM and outreach tracking	Market awareness building

6-Month Milestones

Business Development

Established presence in Georgia and Tennessee markets
10+ completed packages with satisfied clients
3-5 follow-on projects initiated ($200K+ value)
Referral network beginning to generate leads
Brand recognition within target geographic area

Operational Excellence

Streamlined delivery processes with consistent quality
Team scaling plan implemented and executing
Quality assurance processes validated and optimized
Client feedback loops integrated into service delivery
Financial projections validated against actual results

Long-term Vision (12-24 months)

Digital Scientists as the Premier Southeast Technology Partner

Market Position: Recognized leader in mid-market technology consulting across GA, TN, NC, SC
Service Excellence: 90%+ client satisfaction with 60%+ conversion to larger engagements
Financial Performance: $16M-$25M annual revenue with sustainable 8:1-12:1 ROI
Team Growth: Scalable delivery organization with specialized expertise in AI, platforms, and product development

Decision Points & Go/No-Go Criteria

30-Day Review Point

Go Criteria: 3+ pilot packages completed successfully, positive client feedback, pipeline of 10+ qualified prospects

No-Go Criteria: Delivery quality issues, negative client feedback, inability to generate qualified pipeline

90-Day Review Point

Go Criteria: 6+ packages/month delivered consistently, 90%+ client satisfaction, 2+ follow-on projects initiated

No-Go Criteria: Inability to maintain delivery volume, client satisfaction below 85%, no follow-on project conversion

6-Month Review Point

Go Criteria: 10+ packages completed, $500K+ in follow-on projects initiated, established market presence

No-Go Criteria: Consistent delivery challenges, follow-on conversion below 40%, market penetration limited

Implementation Support

Ready to Transform Your Business Development Strategy?

Digital Scientists - Alpharetta, Georgia

Serving the Southeast Since 2007
Face-to-face collaboration • Proven methodologies • Exceptional delivery

Geographic Focus: Georgia, Tennessee, North Carolina, South Carolina
Target Market: 50-500 employees, $10M-$150M annual revenue
Approach: Local partnership building through paid business development

Contact Information

Headquarters: Alpharetta, Georgia
Primary Market: 3-hour drive radius
Secondary Market: Fly-to markets for qualified opportunities
Approach: On-site meetings and face-to-face collaboration

Next Steps

Review package offerings and select initial focus areas
Identify pilot clients within target geographic region
Schedule discovery meetings with qualified prospects
Implement delivery processes and quality assurance
Begin systematic business development execution

Complete Implementation Blueprint

Everything needed to execute the strategy • $37M+ annual revenue potential • Risk-mitigated approach • Clear path from strategy to execution • Scalable framework built for growth