BP2.0

Planning 7.8/10

AI-First Managed Services | $2,500/month average

Add Action
AI-First
Service Model
$400K
Y1 Investment
50
Clients to Breakeven
$6M
Y2 ARR Target
Month 12
Breakeven

The AI-First MSP Thesis

Traditional MSPs are built on human labour. Every ticket requires a technician. Every project requires a consultant. This model doesn't scale — margins shrink as you grow.

Traditional MSP Model

  • Revenue scales with headcount
  • Margins compress at scale (40-50%)
  • Knowledge walks out the door
  • Reactive: wait for tickets
  • Commoditised: compete on price

AI-First MSP Model (BP2.0)

  • Revenue scales with AI automation
  • Margins expand at scale (60-70%)
  • Knowledge is encoded in systems
  • Proactive: predict and prevent
  • Differentiated: compete on outcomes
The Bet: AI will replace 50-70% of Tier 1 MSP work within 3 years. The MSPs that build AI into their DNA now will capture outsized margins. Those that don't will be squeezed into irrelevance.

The BP2.0 Service Stack

Tier 1: AI Automation

70% of tickets
  • • AI-powered ticket triage and resolution
  • • Automated password resets, software installs
  • • Self-service portal with AI assistant
  • • Proactive monitoring and auto-remediation
Cost: ~$5/user/month

Tier 2: Augmented Human

25% of tickets
  • • Complex issues escalated to humans
  • • AI provides context, suggests solutions
  • • Technicians work on interesting problems
  • • Resolution knowledge feeds back to AI
Cost: ~$15/user/month

Tier 3: Strategic Advisory

5% of work
  • • vCIO / vCTO services
  • • Technology roadmapping
  • • Security and compliance strategy
  • • AI transformation consulting
Cost: ~$500/month retainer

Pricing Model

$50
/user/month
Managed Workplace
$75
/user/month
+ Security Stack
$100
/user/month
+ Compliance + vCIO
Client Size Users Avg Tier MRR Margin
Small (10-25 users) 15 avg Basic ($50) $750 65%
Medium (25-75 users) 40 avg Standard ($75) $3,000 60%
Large (75-200 users) 100 avg Premium ($100) $10,000 55%
Blended Average 35 $70 $2,500 60%

Lead Offer: The AI Audit

Discover What AI Can Automate In Your Business

Recommended Lead Offer

"We'll audit your IT operations and show you exactly which tasks AI can handle — and how much you'll save. No cost. No obligation. Just data."

The Offer Stack

Core: AI Automation Audit — 2-hour assessment of your IT operations
Bonus 1: Automation Roadmap — Prioritised list of AI opportunities
Bonus 2: ROI Calculator — Projected savings over 12 months
Bonus 3: Competitive Comparison — How you stack up vs AI-enabled peers
Bonus 4: 30-Day Pilot Option — Try AI-first support on a subset

What We Assess

1 Current ticket volume and resolution times
2 Repeat issues (automation candidates)
3 Security posture and compliance gaps
4 User satisfaction and friction points
5 Technology stack and integration potential
The Insight Guarantee:

If we can't identify at least 3 automation opportunities worth $10,000+/year in savings, we'll pay you $500 for your time.

Audit Capacity:

We can conduct 5 audits per month to ensure quality. Limited slots available for Q3 2026.

Target Market

Ideal Customer Profile

Company size 20-200 employees
Industry Professional services, healthcare, finance
Current IT Frustrated with existing MSP or internal IT
Mindset Forward-thinking, interested in AI
Budget $1,500-$15,000/month IT spend

Market Sizing (NZ)

SMBs (20-200 staff) ~15,000
Using MSPs ~40% = 6,000
AI-curious segment ~20% = 1,200
Realistic capture 200 clients
TAM (200 × $2,500) $6M ARR

Key Assumptions

AI can handle 70% of Tier 1 tickets within 12 months
SMBs are willing to pay premium for AI-first
60% gross margin is achievable with automation
Existing BP team can transition to AI-first model
Tool integrations (RMM, PSA, AI) are mature enough

Key Risks

AI reliability: Start with low-risk automation, expand
Customer trust: Human oversight on all AI actions
Team transition: Reskill, don't replace
Competition: Speed to market is critical
Tool costs: Negotiate volume pricing early

Validation Milestones

Milestone Target Timing Status
AI toolstack selected Vendor selection Month 1 Planning
Internal pilot (BP clients) 5 clients on AI-first Month 3 —
First new AI-first client 1 net-new client Month 5 —
25 clients on AI-first 25 clients Month 9 —
Breakeven 50 clients Month 12-14 Self-sustaining

Decision: Approve BP2.0 GTM

Phase Note:

BP2.0 requires significant operational transformation. Recommend starting with internal pilot on existing BP clients before external GTM push.

Investment Request

  • Phase 1 (Month 1-6): $200,000
  • Phase 2 (Month 7-12): $200,000
  • Total Year 1: $400,000

Success Criteria (Month 6)

  • 5 existing clients on AI-first
  • 70% Tier 1 automation achieved
  • 60% gross margin on pilot clients
Management Recommendation: Approve with Pilot Phase