BP2.0: Budget & Investment
Operational guide for Division leadership
Investment Summary
$400K is the largest investment because BP2.0 is an operational transformation of an existing business. It requires AI tooling, team reskilling, process redesign, and internal pilot before external GTM. Higher risk, but leverages existing customer relationships and team.
Budget Allocation: Where Each Dollar Goes
| Category | Phase 1 | Phase 2 | Total | % | What It Buys |
|---|---|---|---|---|---|
| AI Tooling & Integration | $60,000 | $40,000 | $100,000 | 25% | AI platform, RMM/PSA integration, automation |
| Team Transformation | $40,000 | $30,000 | $70,000 | 17.5% | Training, reskilling, process redesign |
| Founder Salary (20%) | $18,000 | $18,000 | $36,000 | 9% | Transformation leadership |
| Additional Headcount | $40,000 | $60,000 | $100,000 | 25% | AI specialist + additional tech capacity |
| Marketing & Sales | $20,000 | $30,000 | $50,000 | 12.5% | AI-first positioning, case studies, audits |
| Pilot Client Incentives | $12,000 | $12,000 | $24,000 | 6% | Discounts/credits for early adopters |
| Contingency | $10,000 | $10,000 | $20,000 | 5% | Unexpected costs, tool pivots |
| TOTAL | $200,000 | $200,000 | $400,000 | 100% |
Unlike product GTMs, BP2.0 is transforming an existing business. Most spend goes to technology and people, not marketing. The existing customer base provides the pilot group.
Resource Plan: Who Does What, When
| Role | Person | Start | Allocation | Responsibilities |
|---|---|---|---|---|
| Transformation Lead | Founder | Day 1 | 20% | Strategy, vendor selection, change management |
| AI Implementation Specialist | New Hire | M2 | 100% | AI tool configuration, automation building |
| Existing BP Team | Current Staff | M1 | Reskilled | Tier 2/3 work, AI supervision, customer success |
| AI-First Sales | New Hire/Promote | M6 | 100% | Audit delivery, new client acquisition |
Team Transition Philosophy
We are not replacing the team — we are reskilling them. Tier 1 work moves to AI; humans move to higher-value Tier 2/3 work. This increases job satisfaction and margins simultaneously.
KPI Dashboard: How We Know If It's Working
Leading Indicators (Weekly)
| Metric | Target | Warning | Critical | Why It Matters |
|---|---|---|---|---|
| Tier 1 AI Resolution Rate | ≥60% | 40-60% | <40% | Core thesis validation |
| AI Escalation Rate | <20% | 20-30% | >30% | AI quality/reliability |
| Customer Satisfaction (AI) | ≥4.0/5 | 3.5-4.0 | <3.5 | Experience quality |
| Ticket Resolution Time | <15 min avg | 15-30 min | >30 min | Speed advantage |
Lagging Indicators (Monthly)
| Metric | M3 | M6 | M9 | M12 |
|---|---|---|---|---|
| Clients on AI-First | 5 (pilot) | 15 | 30 | 50 |
| Tier 1 AI Automation | 50% | 70% | 70% | 75% |
| Gross Margin | 45% | 55% | 60% | 65% |
| Client Churn | <3% | <2% | <2% | <2% |
| MRR | $12,500 | $37,500 | $75,000 | $125,000 |
On Track Signals
- • AI handling 60%+ of Tier 1 by M3
- • No increase in customer complaints
- • Team embracing new model
- • Margin improvement visible by M4
Warning Signs
- • AI escalation rate >30%
- • Customer complaints increase
- • Team resistance to change
- • Margins not improving by M5
Milestone-Based Funding Release
| Tranche | Amount | Release Trigger | Expected |
|---|---|---|---|
| Tranche 1 | $120,000 | Board approval + AI vendor selected | M1 |
| Tranche 2 | $80,000 | 5 pilot clients live + 50% Tier 1 automation | M3-4 |
| Tranche 3 | $100,000 | 70% automation + 55% margin + customer satisfaction maintained | M6 |
| Tranche 4 | $100,000 | 25 clients on AI-first + first net-new client won | M9 |
Kill Criteria: When We Stop
Hard Stops (Terminate Transformation)
- ✕ M4: AI reliability <70% (too many errors)
- ✕ M6: Tier 1 automation <50% after 6 months
- ✕ Any time: Customer churn doubles vs baseline
- ✕ Any time: Key team members refuse to adapt
Pause & Diagnose
- ⚠ M3: AI escalation rate >30%
- ⚠ M4: CSAT drops more than 0.5 points
- ⚠ M6: Margins not improving despite automation
Unlike new products, BP2.0 has a revert path. If transformation fails, we can return to traditional model (with lessons learned). This is not ideal, but it's not catastrophic.
Board Reporting Cadence
Weekly (Division Lead)
- • AI resolution rate
- • Escalation rate
- • Customer feedback
- • Team sentiment
- • Technical blockers
Monthly (Exec Team)
- • Clients transitioned
- • Automation %
- • Gross margin
- • CSAT comparison
- • Budget vs actual
Quarterly (Board)
- • Transformation status
- • ROI vs investment
- • Competitive position
- • Scale-up readiness