Gorombo logo
Gorombo
AI Integration

Intelligence is in the governance, not the model.

Everyone's selling AI. Few are asking the hard questions: What happens when it's wrong? Who's accountable? How do you audit it? We start there.

The AI Reality Check

Here's what the AI sales pitch doesn't mention: most AI projects fail. Not because the technology doesn't work, but because nobody thought through what happens after the demo.

The model hallucinates. Who catches it? The output is wrong. Who's liable? The data changes. Who retrains it? The vendor updates the API. What breaks?

We've seen companies bolt on AI features to check a box, then scramble when the CEO asks why the chatbot told a customer something insane. We've seen "AI-powered" tools that are just expensive autocomplete with no oversight.

Real AI integration isn't about the model. It's about the system around the model - the governance, the validation, the fallbacks, the human oversight. That's what we build.

Our Philosophy

Governance-First AI

Built on the principles of the SIM-ONE Framework - our open-source approach to cognitive governance.

visibility

No Black Boxes

Every AI decision should be explainable. If you can't understand why it did something, you can't trust it in production.

fact_check

Validated Outputs

AI outputs get checked before they reach users. Guardrails, validation layers, and human-in-the-loop where it matters.

tune

Right-Sized Models

Bigger isn't better. We match the model to the task. Sometimes that's GPT-4. Sometimes it's a fine-tuned small model that runs locally.

What We Do

Strategy and implementation - not just one or the other.

psychology

Strategy & Planning

  • check_circle
    AI Readiness Assessment Evaluate your data, infrastructure, and team readiness for AI adoption.
  • check_circle
    Use Case Identification Find where AI adds real value vs. where it's just hype.
  • check_circle
    Governance Framework Design Build the oversight structure before you build the AI.
  • check_circle
    Risk Assessment Identify what can go wrong and plan for it.
construction

Implementation

  • check_circle
    Model Selection & Deployment Choose the right model for the job - cloud, local, or hybrid.
  • check_circle
    System Integration Connect AI to your existing tools and workflows.
  • check_circle
    Custom AI Tooling Build internal tools that leverage AI for your specific needs.
  • check_circle
    Monitoring & Optimization Track performance, catch issues, improve over time.
smart_toy
Soon
Try It Yourself

AI Playground

Not ready to talk? Experiment first. Our AI Playground lets you test different models, adjust parameters, and see governance in action - all before making any commitment.

Explore the Playground arrow_forward

How Engagements Work

From discovery to ongoing support.

1

Discovery

Free consultation to understand your goals and challenges.

2

Assessment

Deep dive into your operations, data, and AI opportunities.

3

Build

Implement with governance baked in from day one.

4

Support

Ongoing advisory, monitoring, and optimization.

Who We Work With

"We tried AI and it didn't work."

Teams burned by AI projects that promised too much. You need someone who'll be honest about what AI can and can't do for your specific situation.

"We need AI but we need oversight."

Organizations in regulated industries or with compliance requirements. You can't just bolt on AI - you need audit trails and accountability.

"We want AI that fits our operations."

Companies looking for AI that integrates into how you already work - not a flashy demo that doesn't connect to anything real.

"We know AI is coming. We want to do it right."

Leaders who see the potential but want a thoughtful approach. Strategy before implementation. Governance before deployment.

Ready to do AI the right way?

Start with a conversation. We'll talk about your goals, your concerns, and whether AI actually makes sense for what you're trying to do.