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OUR APPROACH

The TURN8 Method: Four Phases, Bounded Risk, AI-Powered

Phase 1
Discovery and Thesis

The first phase of the TURN8 method focuses on bounded risk and AI-powered decision making.

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Phase 2
Validation and Design

The second phase of the TURN8 method focuses on bounded risk and AI-powered decision making.

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Phase 3
Build and Launch

The third phase of the TURN8 method focuses on bounded risk and AI-powered decision making.

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Phase 4
Scale and Optimize

The forth phase of the TURN8 method focuses on bounded risk and AI-powered decision making.

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Phase 1: Discovery and Thesis

What Happens

  • Strategic alignment workshops with corporate leadership, startup founding teams, or growth company executives.
  • Market opportunity mapping and competitive landscape analysis.
  • Innovation strategy alignment for venture building, incubators, and accelerators, investment mandate development for CVC, KSA market readiness and fundability assessment, or product vision assessment for AI Studio.
  • AI-powered market scanning, trend analysis, and white space identification.

AI Enhancement

  • Automated intelligence gathering and synthesis.
  • Market sizing and validation using real-time data sources.
  • Synthetic customer personas generated from industry research.
  • Product and operational workflow analysis to identify automation opportunities.

Deliverables

  • Investment thesis, venture thesis, or transformation roadmap.
  • Opportunity prioritization framework.
  • Risk assessment and mitigation strategies.
  • Evidence gates for the next phase.

Phase 2: Validation and Design

What Happens

  • Customer discovery and problem validation with target segments.
  • Prototype development, investment screening, Solution validation, or AI agent configuration.
  • Business model stress-testing and unit economics validation.
  • Partnership, integration, and go-to-market pathway identification.

AI Enhancement

  • Rapid customer research using AI-generated interview guides and analysis.
  • Automated financial modeling and scenario planning.
  • Deal screening and scoring for CVC programs.
  • Process and workflow mapping and automation design for AI Studio deployments.

Deliverables

  • Approved corporate Venture Studio, Incubator, Accelerator, and CVC design and thesis.
  • Validated customer insights, demand signals, and willingness-to-pay data.
  • MVP specifications, curated deal pipeline, or configured AI agents.
  • Financial projections and capital requirements.
  • Go/no-go decision framework.

Phase 3: Build and Launch

What Happens

  • Venture team deployment, including Entrepreneur in Residence, product lead, and growth operators.
  • Investment execution and portfolio onboarding for CVC.
  • Product development, pilot execution, and first customer acquisition.
  • AI agent deployment and onboarding, including user enablement and operational handover.
  • Corporate integration and resource activation, unlocking customers, data, distribution, and internal capabilities.

AI Enhancement

  • Live portfolio and venture dashboards with real-time performance tracking.
  • Automated burn-rate monitoring and runway forecasting.
  • Opportunity matching between ventures and relevant corporate business units.
  • AI agent performance monitoring, optimization, and usage analytics.

Deliverables

  • Venture launched with first customers, closed investments, or AI agent deployment.
  • Operational dashboards and KPI tracking.
  • Integration playbooks and pilot roadmaps.
  • User training and adoption materials.
  • Quarterly board reporting materials.

Phase 4: Scale and Optimize

What Happens

  • Growth acceleration and unit economics optimization.
  • Follow-on funding and capital deployment decisions.
  • Portfolio value creation through corporate integration.
  • AI agent expansion and capability enhancement.
  • Capability transfer and team development.

AI Enhancement

  • Predictive analytics to support scaling and capital deployment decisions.
  • Portfolio health monitoring, including early warning indicators and downside signals.
  • Automated reporting for executives, boards, and investment committees.
  • Continuous AI performance optimization and identification of incremental value opportunities.

Deliverables

  • Scaled venture operations, performing portfolio, or expanded AI capabilities.
  • Evidence-based scaling and capital deployment roadmap.
  • Strategic value realization metrics, including financial and operational impact.
  • Transition to internal ownership or long-term operating structures.