Decision Automation

We build AI systems that make decisions, not just suggestions. Predictive operations, automated compliance, and intelligence that compounds with every transaction.

The Trust Gap Is the Real Barrier

Most enterprises are not struggling with AI capability. They are struggling with AI trust. Who approved this decision? Why did the model recommend that action? Can we prove compliance if audited?

Without governance, AI is a liability. Black-box recommendations that nobody can explain. Data sent to third parties with no audit trail. Models that change behavior when providers update their systems.

We close the trust gap by building decision automation that is governed, auditable, and explainable from day one. Your data stays yours. Every AI action is traceable. Every decision has a reason.

The Governance Gap

Black-box decisions. No audit trail. Data leaving your control. Models that change without your approval.

The Governed Approach

Every decision explainable. Full audit trails. Data under your control. AI that earns trust through transparency.

Governance-First AI Architecture

Our AI architecture is built on open source foundations that put governance, auditability, and operational resilience ahead of any single provider's ecosystem.

No Single Point of AI Failure

Fail over between OpenAI, Anthropic, Google, or local models automatically. If one provider goes down, raises prices, or changes terms, your operations continue uninterrupted.

AI Woven Into Operations, Not Bolted On

AI is embedded directly into your operational workflows, not sitting in a separate tool your team has to remember to check. Decisions happen where the work happens.

Governed and Auditable

Every AI interaction is logged, traceable, and explainable. Run sensitive operations on local models. Prove compliance with a complete audit trail of every automated decision.

What We Build

Measurable operational outcomes, not AI features. Every system we build eliminates manual work, reduces decision latency, or surfaces intelligence your competitors cannot access.

Automated Data Entry Elimination

Stop paying people to re-key data from contracts, invoices, and reports. AI extracts structured data automatically, with human review only for exceptions.

  • + Contract analysis and key term extraction
  • + Invoice processing and automatic reconciliation
  • + Regulatory document compliance verification

Natural Language Operations Queries

Ask your business data questions in plain English. "What was our margin on eastbound loads last quarter?" gets an answer in seconds, not hours of spreadsheet work.

  • + Instant operational intelligence from any dataset
  • + Customer-facing product assistants
  • + Natural language reporting that replaces manual analysis

Predictive Risk and Opportunity Scoring

Surface risks before they become problems and opportunities before competitors see them. AI scores every transaction, customer, and operational event in real time.

  • + Automated risk scoring on every transaction
  • + Opportunity identification and prioritization
  • + Anomaly detection that catches what humans miss

Automated Intelligence Reports

Replace hours of manual reporting with AI-generated intelligence briefs. Operational summaries, market analysis, and compliance reports produced automatically with the data you already have.

  • + Daily operational intelligence briefs
  • + Automated compliance and audit documentation
  • + Trend analysis and competitive signal detection
# Governed AI with full audit trail
RubyLLM.configure do |config|
# Production: Use Claude
config.provider = :anthropic
# Sensitive data: Run locally
config.local_provider = :ollama
# Every decision auditable
config.audit_log = true
end
Trustworthy AI Operations

Complete AI Governance

Every automated decision is explainable, auditable, and reversible. Choose AI providers based on capability and compliance requirements. Switch providers without rewriting code. Prove governance to any auditor.

  • Zero single points of failure across AI providers
  • Complete audit trail for every AI-driven decision
  • Explainable decisions that satisfy compliance requirements
  • Your data never used to train external models

Frequently Asked Questions

Which AI providers do you support?

We architect for zero single points of AI failure. Our systems integrate with OpenAI, Anthropic (Claude), Google (Gemini), and local models, and can fail over between them automatically. You are never dependent on one provider's uptime, pricing, or policy changes.

Can AI integrations work with sensitive/private data?

Governed data handling is foundational to our approach. We can run AI models locally on your infrastructure so sensitive data never leaves your control, with full audit trails for every AI interaction. For less sensitive operations, cloud providers offer cost advantages while maintaining governance.

How do you ensure AI accuracy and reliability?

Every AI decision is explainable and auditable. We implement governance guardrails, human-in-the-loop workflows for high-stakes decisions, and comprehensive logging so you can trace exactly why any AI-driven action was taken. This is the foundation of trustworthy automation.

What's the cost of AI integration?

Decision automation typically adds $30,000-$75,000 to a project. The ROI question is more relevant: clients typically see 40-60% reductions in manual decision-making time within the first quarter. Ongoing AI provider costs vary by usage, and we optimize for cost-effectiveness at every layer.

Can you add AI to our existing software?

Yes. We build decision automation layers that connect to any existing system via APIs. You do not need to rebuild from scratch. Most clients start by automating their highest-volume, lowest-complexity decisions and expand as they build trust in the system.

Ready to See What Your Data Can Do?

Every engagement starts with a strategic assessment. We map your workflows, identify the highest-ROI automation opportunities, and show you exactly what the numbers look like.

Schedule a Strategic Assessment