1
Company Context
▼
Red Valley Holdings (RVH)
200
Employees
$8–15
Fully loaded /hr
2
Languages EN/ES
Act 60
Tax Structure PR
- Current clients: US-based companies outsourcing back-office operations
- Tech stack: Google Workspace + Claude. Zero Microsoft.
- Key advantage: Existing infrastructure, LATAM labor arbitrage ($8–15/hr vs $50–150/hr US consultants), bilingual talent
Portfolio Companies — Internal Testbed
First "clients" for the AI partner practice. All case studies start here.
| Company | What It Does | Team | AI Opportunity |
|---|---|---|---|
| NatNutra | Amazon FBA supplements (~$90K/mo) | 2–3 | ~60% of daily work automatable. Margins near-zero — automation is survival. |
| SolarisFT | Sweat440 fitness franchises (NYC, NC, FL) | ~50 | Studio manager workflows, complaint handling, multi-location reporting |
| Red Valley | The BPO itself | 200 | Internal operations + the product we're building |
2
Strategic Thesis
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The Gap
Every major AI lab is partnering UP with Big 4 firms to serve Fortune 500. The mid-market and SMB tier — especially in LATAM — has no dedicated AI implementation partner channel. Same gap that existed before Google Cloud Partners, HubSpot Solutions Partners, and Salesforce consultants filled it.
The Timing
- Anthropic: 300K+ business customers, ~$7B run rate. They cannot hand-hold everyone. They need a channel.
- OpenAI: $10M minimum for direct engagement — SMBs are locked out.
- Agentic AI Foundation (Linux Foundation) standardizing MCP (Model Context Protocol) — implementation becomes more repeatable.
- No formal mid-market partner program exists yet from any AI lab.
The Moat — What Doesn't Get Commoditized
- Trust + relationships — The SMB owner in Medellín needs a human who speaks their language and won't disappear after the pilot.
- Change management — Automating jobs in Colombia has different labor law, cultural, and HR implications than the US.
- Local expertise — LATAM business culture, regulatory environments, payment systems, workforce dynamics.
- Vertical specialization — Deep playbooks for BPO, e-commerce, fitness/franchise.
- LATAM price points — US firms charge $200–500/hr. RVH delivers at $30–80/hr.
What DOES Get Commoditized — Don't Build This
Warning
- Task mining/recording software — Labs will ship this natively
- Basic chatbot/AI wrapper products — Race to zero
- Generic "AI strategy" consulting — Everyone will claim this
- Custom SaaS tools — 12–18 month shelf life before labs absorb the use case
3
Business Model
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Service Tiers
| Tier | Target | Engagement | Price | Margin |
|---|---|---|---|---|
| AI Readiness Audit | Any SMB curious about AI | 1–2 week assessment | $3K–8K flat | 70%+ |
| Implementation Sprint | SMBs ready to act | 4–8 weeks, deploy 3–5 automations | $10K–30K | 50–60% |
| Managed AI Ops | Ongoing optimization | Monthly retainer | $2K–8K/mo | 60–70% |
| Enterprise Transformation | 200+ employee LATAM cos | Full-scale AI integration | $50K–200K+ | 40–50% |
Revenue Phases
1
Months 1–6
Internal portfolio only. Zero external revenue. Build playbooks, case studies, methodology. Google Cloud certs completed. Lab partner forms submitted.
2
Months 4–9
Sell AI Readiness Audits to existing BPO clients. Warm intros, zero CAC (Customer Acquisition Cost). Publish first case studies.
3
Months 6–12
Launch externally via Google Cloud Partner credibility, case studies, industry associations, referral programs.
4
Month 12+
Scale with or without formal AI lab partner status. If partnerships materialize, use as accelerant. Business stands on its own.
Unit Economics
$25–35
Blended cost/hr
$60–120
Blended billing/hr
55–65%
Target gross margin
3–4+5–8
Break-even clients + retainers
4
Competitive Landscape
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Valenta
Direct Competitor #1 — AI Automation Franchise
650+Staff worldwide
20+Countries
2014Founded (Australia)
TorontoCurrent HQ
Franchise model: solo "Managing Partners" sell, centralized HQ delivers. Already has a bilingual delivery center in Bogota. RPA-heavy (legacy), not agentic AI/LLM (Large Language Model)-native.
RVH Advantage
200 people, delivers at scale. Franchise model = quality varies wildly.
Target recruit: Bogota delivery center — RPA developers, project managers who already understand AI automation consulting.
Superintelligent / BeSuper.ai
Direct Competitor #2 — Enterprise AI Planning Platform
13Employees
$2MSeed funding
2023Founded (NYC)
100K+Weekly podcast listeners
Owns "The AI Daily Brief" podcast. AI voice agents interview employees → benchmark against 5,000+ use case database → deliver AI roadmaps. No LATAM presence. English-only. Enterprise-focused.
RVH Advantage
SaaS platform + media brand, not a delivery operation. 13 people — can't implement anything. Their partner program is a partnership opportunity for us.
Target recruit: Their consulting partner network — find partners frustrated with lack of delivery support.
| Category | Examples | Threat | RVH Advantage |
|---|---|---|---|
| Big 4 | Accenture, Deloitte, PwC | Low | Price, speed, LATAM focus |
| US Boutique AI | Various | Med | LATAM presence, labor arbitrage, bilingual |
| LATAM Tech | Globant ($7B+, 30K), Endava | Med | SMB focus, operational expertise |
| Freelancers | Upwork AI consultants | Low | Methodology, team depth |
| AI Labs Self-Serve | Claude Cowork, ChatGPT agents | High | Trust, change mgmt, human layer |
| Other LATAM BPOs | Unknown (inevitable) | Med | First-mover, already building |
Competitive Intel — Standing Tasks
- Valenta: Monitor Bogota job postings (LinkedIn, Computrabajo). Track LATAM franchise awards.
- Superintelligent: Follow AI Daily Brief. Explore consulting partner program.
- General: Monthly LinkedIn search: "AI automation consultant Colombia/LATAM"
5
Immediate Action Items
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Already In Progress
- Workflow automation playbook created (employee-facing, 1-page)
- Workflow audit tracker designed (NatNutra-specific + general template)
- Tooling tiers established: Cowork (non-technical), Pipedream/Supabase (technical)
- NatNutra audit ready to deploy with Raja (Operations) and Sha (Content)
Build the Trust Stack — Revenue & Credibility
- Deploy NatNutra audit — Raja and Sha log tasks for 1 week. Case study #1.
- Begin Google Cloud AI certifications — 2–3 RVH team members within 90 days.
- Document everything — Every automation becomes a case study with before/after metrics. Target: 3–4 by month 6.
- Identify AI strategist hire — Own client delivery while Alex focuses on BD (Business Development).
Get in the Queue — Mandatory, Then Move On
- Submit OpenAI partner intake form — openai.com/form/partnerintake. Don't wait for response.
- Email Anthropic partnerships team — 200-person LATAM operation, deploying Claude internally.
- Set calendar reminder — Monthly check on lab partner program announcements.
6
RVH AI Implementation Framework
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Phase 1: Discover (Week 1–2)
Employee self-reported workflow audit (11-column tracker). Captures: task description, frequency, duration, tools, triggers, outputs, failure modes, judgment required. Supplement with Loom recordings of top 3 repetitive tasks.
Phase 2: Analyze (Week 2–3)
Feed logs into Claude Project. ABCD categorization: A=Fully Automatable, B=AI-Assisted, C=Human Required, D=Unclear. Score by: time saved, handoff impact, failure severity, sensitive data flags. Output: Prioritized automation roadmap with estimated ROI per task.
Phase 3: Implement (Week 3–6)
Build top 3–5 automations. Non-technical: Cowork. Technical: Pipedream, Supabase, Claude API, custom scripts. Each validated with 3 manual verification runs. Don't kill manual process until automation survives full cycle.
Phase 4: Optimize (Ongoing)
Weekly review vs. manual baseline. Expand to next batch. Monthly reporting: hours saved, error rates, cost impact.
Key Principles
- Momentum from wins, not documentation
- Map 5 → Automate 1 → Prove it works → Repeat
- First 3 runs manually verified against old output
- Never frame as job replacement — frame as "clearing repetitive stuff off your plate"
7
Credibility & Partnership Strategy
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Core Principle
Don't build the business around getting partner status. Build it so partner status finds you. AI lab badges don't close deals in LATAM mid-market today. Results, recognized brands, and local credibility do.
The Trust Stack — This Closes Deals
- Google Cloud Partner certification — Mature program, recognized brand. 2–3 RVH team members certified within 90 days.
- Published case studies with hard numbers — "We saved NatNutra 40 hours/week and $X/month" beats any badge. Target: 3–4 by month 6.
- LATAM industry association visibility — ANDI, Cámara de Comercio de Medellín, ProColombia. Conferences: Colombia 4.0, ANDICOM.
AI Lab Partnerships — Mandatory, Not the Strategy
- Submit OpenAI partner intake form — No exceptions.
- Email Anthropic partnerships team — Get in the queue.
- Monitor Google Cloud AI partner program — Formalize once certified.
Medium-Term — 6–12 Months
- Formalize methodology into certifiable framework
- Train first cohort as "AI Implementation Specialists"
- Launch AI Readiness Audit to existing BPO clients
- MCP server development for LATAM integrations (Rappi, MercadoLibre, Bancolombia)
Long-Term — 12–24 Months
- Formalize lab partner status (track record earns it)
- Vertical playbooks: BPO, e-commerce, fitness/franchise, healthcare
- Expand to Brazil, Mexico, Argentina
- Licensing model: train other LATAM consultancies on RVH methodology — become the franchisor, not the franchisee
8
Key Risks
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AI labs ship self-serve tools that eliminate need for implementers
Focus on trust/relationships/change management. Move upmarket as tools commoditize. Timeline: 2–3 years.
Partner programs never materialize for mid-market
Business stands without partner status. Lab partnerships are upside, not foundation.
Internal case studies don't produce compelling metrics
Choose high-impact automations first. If NatNutra doesn't yield results, the thesis is wrong.
Alex's bandwidth as Managing Partner across 4 entities
Hire AI strategist to own delivery by month 3. Alex stays on BD and partnerships only.
Can't hire/train AI implementation specialists fast enough
Start with existing RVH team. Promote from within. Poach from Valenta Bogota.
LATAM market not ready for AI services
Start with US-based RVH clients who already trust the relationship. Expand to LATAM after proof points.
9
Financial Projections
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Year 1 — Build
$0–50K
- Late-stage pilot clients only
- Investment: $150–250K
- AI strategist hire, certs, tooling, content
Year 2 — Growth
$500K–1M
- 8–12 implementation sprints
- 15–20 managed ops retainers
- Gross margin target: 55%
Year 3 — Scale
$2–4M
- Lab partner status formalized
- Expand to 2–3 LATAM markets
- Licensing/certification revenue begins
10
Open Questions
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01
Pricing validation: Are LATAM SMBs willing to pay $3–8K for an AI readiness audit?
02
Build vs. partner on task mining: For 50+ employee engagements, resell KYP.ai/Mimica or build lightweight tooling?
03
Anthropic vs. OpenAI vs. model-agnostic: Bet on one lab's ecosystem or stay neutral?
04
Brazil strategy: Different language, different market, different regulations. When and how to enter?
05
IP protection: How to prevent methodology from being copied once case studies are published?
06
Vertical prioritization: Which verticals after BPO and e-commerce? Healthcare? Logistics? Fintech?
07
Alex's role transition: Timeline for moving to pure BD/partnership role on this initiative?