Decision Architecture for Deep Tech & Green Tech

Designing the systems through which complex decisions get made

Not just patterns for scaling—reusable decision infrastructure. Formalizing how technical risk gets evaluated, how strategic options get compared, and how organizations navigate uncertainty when capital, regulation, and scale intersect.

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Deciding Under Uncertainty

The real bottleneck isn't building—it's deciding.

Formulas that work at 1K units break at 100K, so you can't confidently choose.

Quick validations fail audits, so you don't know what's defensible.

Automation locks you in before you know if it works, so the decision architecture itself is wrong.

Industries we serve

Climate Tech & SustainabilityAdvanced ManufacturingHardware & IoT PlatformsEnergy & Grid InfrastructureMaterial Science & Innovation

Decision environments that break

These aren't unique problems. Every company at this stage hits the same walls. The difference is having decision infrastructure that scales.

How I Help

Decision architecture, data systems, operations frameworks, and integration patterns—reusable infrastructure so your decisions scale.

Architecture

Your logistics calculations break when volumes scale

Portable logistics calculation engine using piecewise linear interpolation for pricing tiers, Haversine distance calculations for geospatial optimization, and automated compliance checks. Handles 1K to 100M units with mathematical precision.

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Data

You can't validate environmental claims at scale

Automated data quality pipeline with 105+ validation tests, expert domain normalization, confidence scoring, and evidence bundles. Validates claims in minutes, not weeks, with 99.7% accuracy.

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Architecture

Your automation is trapped in vendor-specific platforms

Three-layer architecture: simple triggers call portable Docker services. Business logic lives in version-controlled, testable containers. Works on Google Cloud, AWS, Azure, or DigitalOcean. Same code, different trigger.

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Data

Your strategy team edits Excel, but services need fast data

Bidirectional sync pattern: Excel → Datastore (for fast reads), Datastore → Excel (for updates). Conflict resolution with last-write-wins and manual review. Excel stays human-editable, services get programmatic access.

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Operations

Your operations are ad-hoc and don't scale

Comprehensive SOP framework organized into 10 functional areas with purpose, scope, procedures, outputs, quality standards, and scaling considerations. Plus executive capability mapping for clear ownership and delegation.

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Integration

Your team's workspace platform is your infrastructure, but code quality suffers

Workspace-agnostic integration architecture: Platform triggers (Apps Script, Power Automate, webhooks) call containerized services. Direct API access via service accounts. Document and data management through platform APIs. Credentials managed securely. All business logic stays in version-controlled services.

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Architecture

You start with SQLite but need to scale to Postgres

Portable database architecture with abstract interface. Same code works with SQLite (MVP) and PostgreSQL (production). Simple export/import migration. No code changes, just connection string swap. Works on any cloud provider.

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Operations

Your documentation is a mess and hard to find

Information hierarchy framework: Level 1 (Quick Reference), Level 2 (Verified Facts), Level 3 (Detailed Frameworks), Level 4 (Source Files). Clear information flow, maintains single source of truth, supports both human and AI consumption.

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Solution categories

This work is delivered through my services: Development, Consulting, and Decision Engines.

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Ready to Design Your Decision Systems?

These frameworks formalize tacit judgment into repeatable systems. Production-tested and portable— designed to scale your decision environment, not just your operations.

What You Get:

  • ✓ Decision architecture—not just technical patterns
  • ✓ Evaluation frameworks that formalize judgment
  • ✓ Cloud-agnostic, portable designs
  • ✓ Information architecture for better decisions
  • ✓ SOP frameworks that codify process
  • ✓ Integration patterns for your stack

How We Work:

  • ✓ Design review—does your decision architecture scale?
  • ✓ Customization for your uncertainty profile
  • ✓ Integration with existing decision workflows
  • ✓ Knowledge transfer—reusable, not dependent
  • ✓ Iteration as constraints evolve