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Practical AI systems for messy operational data.

Practical AI systems for operational intelligence. AMBI builds tailored AI-assisted tools that help organizations review, prioritize, and act on complex business data. We focus on human-in-the-loop workflows, reviewable outputs, and managed implementation around the way your teams already work.

Our Approach

Why AMBI is different

Many AI projects fail because they focus on the model before understanding the workflow.

AMBI starts with the human system: what people are trying to review, decide, document, escalate, or improve. Then we design AI-assisted tools around the data, constraints, and judgment points that already exist in the organization.

Our team combines PhD-level human-systems research, applied AI implementation, software development, and systems thinking. The result is not generic automation. It is practical decision-support software built around real operational problems.

Human-centered workflow design

We build systems that complement existing human teams, focusing on decision points and review bottlenecks.

Messy data handling

Operational data is rarely clean. We design tailored data pipelines to handle real-world irregularities.

Reviewable outputs

Every AI-assisted insight includes transparent evidence, giving supervisors the context they need to act.

Tailored implementation

No generic automation. We deliver focused software tailored to your specific organizational constraints.

Flagship Product

ComplAI

ComplAI is our flagship product: an AI-assisted compliance review system for call centers. It applies the AMBI approach — workflow-specific constrained AI, human review, structured evidence, and managed implementation — to recorded customer conversations.

  • Move from sample-based review to full-call coverage
  • Transparent, reviewable evidence for every flagged item
  • Final determinations remain with your supervisory team
Learn more about ComplAI
Triage Engine
Eligible Calls Ingested
Beyond Random Sampling
Priority ReviewConfigurable PII Handling
12 Items
Human-in-the-Loop
Reviewing evidence snippet & severity score

Who We Are

AMBI is led by PhD cognitive neuroscientists with experience evaluating technology, human performance, and human-AI systems in national-security-relevant environments. We bring a research mindset to practical AI implementation: define the workflow, measure the problem, build the system, and keep human judgment in the loop.

Michael Trumbo, PhD

Human-AI interaction, applied research, human factors evaluation, and system-level strategy

Aaron Jones, PhD

AI-enabled systems, data pipelines, workflow architecture, and technical implementation

Bradley Robert, PhD

Applied AI implementation, compliance workflow design, human factors evaluation, and product translation