Applied AI systems
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The workflowcomes first.

We design, integrate, and govern AI systems inside defined workflows, with evaluation and human control built in.

Show us the workflow.See how we work
A workflow moves from noisy input to reviewed actionInputs converge on a human evaluation gate, then continue into approved action, exception, fallback, and rollback paths.NOISY INPUTEVALUATEAPPROVED ACTIONEXCEPTIONFALLBACKROLLBACK REMAINS OPENA workflow moves from noisy input to reviewed action in a vertical mobile layoutInputs converge on a human evaluation gate, then continue into approved action, exception, fallback, and rollback paths.NOISY INPUTEVALUATEAPPROVED ACTIONEXCEPTIONFALLBACKROLLBACK REMAINS OPEN

Intelligence that enters the work.

A demo can prove a model responds. It does not prove the workflow has changed. The hard work sits in the decision, handoff, permission, exception, and consequence around that response.

sgz.ai starts there. We map the work, define what good means, place human judgment where it matters, and keep the system observable and reversible.

Abstract material study showing many signal paths reaching a bright human-control gate and separating into bounded routes

Put intelligence on the critical path.

Start with one consequential bottleneck. Define the current path, the intervention, the review gate, and what happens when the system is uncertain or wrong.

Entry
A defined workflow or decision with a measurable bottleneck.
Boundary
A bounded launch, approved transfer or operating model, or a clear stop decision.
Assess the workflow

Systems shaped by the work.

The intervention follows the constraint. Sometimes that means a model. Sometimes it means rules, retrieval, review, or a simpler piece of software.

Decision support

Bring evidence, uncertainty, and review into a defined decision without hiding the final judgment.

Document and knowledge intelligence

Route information through source-aware retrieval, extraction, review, and traceable output.

Workflow agents

Use bounded tool access and explicit approvals where multi-step execution is justified.

Forecasting and optimization

Join predictions to the constraints, decisions, and feedback loops that make them useful.

Human review and exceptions

Design the queue, escalation, evidence, and reversal path around critical actions.

Explore the system types

A method with stopping points.

Each move produces an artifact a buyer, operator, or reviewer can inspect. Expansion depends on evidence, not momentum.

  1. Identify

    Map the work before choosing the technology.

    Define the decision, current path, failure modes, owners, data access, and acceptance criteria.

    • Workflow map
    • Baseline
    • Acceptance criteria
  2. Design

    Place rules, models, and judgment where they belong.

    Specify deterministic logic, AI behavior, permissions, evaluation, review gates, fallback, and economics.

    • System design
    • Evaluation set
    • Control matrix
  3. Integrate

    Enter the real moment of work.

    Connect identities, permissions, source systems, tools, instrumentation, and reversible actions.

    • Integrated system
    • Permission model
    • Operating record
  4. Assure

    Test the system and its failure behavior.

    Evaluate quality, edge cases, security, latency, cost, misuse, escalation, oversight, and rollback.

    • Test report
    • Launch boundary
    • Rollback plan
  5. Improve

    Expand only when the evidence supports it.

    Monitor outcomes, adoption, exceptions, latency, cost, and failed or escalated cases.

    • Monitoring plan
    • Exception review
    • Change record
Read the full method

The model is one layer.

Production behavior comes from the system around it: source access, identity, deterministic logic, evaluation, approval, monitoring, and a tested way back.

Inspect the control model
Abstract layered operating record with earlier states visible beneath a bright approval notch

Human control is architecture.

Review cannot be a disclaimer added after the system is built. It needs a place, an owner, evidence, and a response when the answer is no.

Before action

Identity, least privilege, data boundaries, acceptance criteria, evaluation sets, and approval thresholds.

After action

Logs, exception review, monitoring, escalation, fallback, rollback, and a record of what changed.

Use the method before the meeting.

Two practical field notes turn the operating standard into questions your team can answer, challenge, and revise.

Operating method · Reviewed 2026-07-31

Workflow assessment

Define the bottleneck, evidence, owners, and acceptance criteria before choosing a system.

Open field noteOperating method · Reviewed 2026-07-31

Evaluation and governance checklist

Specify the tests, permissions, review, failure behavior, and operating evidence a bounded launch needs.

Open field note

Show us where the work gets stuck.

Bring the situation, the desired change, why it matters now, and what prevents movement. Keep the first brief non-confidential.

Show us the workflow.