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Sim LLC
Methodology

We map the work first. Then we build the AI.

A Sim engagement is a structured operations engagement that produces a working AI system, with evidence at every step and fixed scope from day one.

Eight stages. One operation at a time.

Every Sim engagement follows the same stages, scaled to the scope of the build. You see evidence, artifacts, and outputs at each one.

Fig. 01: the Sim build, drawn before it’s built

  1. Stage 01Discovery & design

    Discover

    We listen to the people who actually run the work.

    Short, focused interviews with owners, operators, and front-line staff. We look for where the work slows down, where it breaks, and where leverage is hiding in plain sight.

    Outputs

    • Stakeholder interviews
    • Operational inventory
    • Early opportunity list
  2. Stage 02Discovery & design

    Map the workflows

    We draw your operation as it really is, not the tidy version.

    A clear map of the workflows we’re touching: the systems involved, the handoffs, the documents moving through them, and the humans making decisions along the way.

    Outputs

    • Workflow maps
    • System inventory
    • Current-state metrics
  3. Stage 03Discovery & design

    Identify high-value opportunities

    We name the moves with the best return, and why.

    Not every workflow wants AI, and not every AI move is worth building. We name the handful that earn their place (in dollars, hours, or risk reduction) and propose them openly.

    Outputs

    • Ranked opportunities
    • Impact estimates
    • Recommended first build
  4. Stage 04Discovery & design

    Design the system

    We spec exactly what gets built, before anyone writes code.

    A concrete design: components, integrations, triggers, data paths, human-in-the-loop points, failure modes, and acceptance criteria. You review and approve before we build.

    Outputs

    • System design doc
    • Integration plan
    • Acceptance criteria
  5. Stage 05Build & operate

    Build

    Custom-built on your data, in your environment.

    We build on real inputs from day one: your documents, your tools, your edge cases. We work in tight iterations so you see progress, not just status reports.

    Outputs

    • Working system
    • Integration wiring
    • Internal documentation
  6. Stage 06Build & operate

    Test

    We prove it works against your actual operation.

    Testing against real cases, not synthetic data. We tune the system until it meets the acceptance criteria set during design, and you see the evidence.

    Outputs

    • Test plan and results
    • Tuned thresholds
    • Runbook
  7. Stage 07Build & operate

    Launch

    A controlled rollout into live operations.

    We launch deliberately, often starting with a slice of volume and expanding as confidence builds. Your team is trained, monitored, and supported through the transition.

    Outputs

    • Phased rollout
    • Team training
    • Monitoring in place
  8. Stage 08Build & operate

    Refine & support

    The system gets better in your hands, not worse.

    Usage reveals things a design can’t. We watch, tune, and extend. You get a clear view of what’s working, what’s changing, and what’s next.

    Outputs

    • Operations reporting
    • Ongoing tuning
    • A path for what’s next
Principles

How we think about the work.

A handful of principles that shape every engagement, from the first interview to the first month in production.

Principle 01

Map the work first.

Software that doesn’t understand your business won’t survive in it. Every engagement starts with listening and mapping, not with a demo.

Principle 02

Fit, not features.

We build the pieces that earn their place in your operation. If a capability doesn’t change an outcome, it doesn’t ship.

Principle 03

Humans in the loop where it matters.

Automation is a means, not a goal. People stay in the loop wherever judgment, trust, or relationships should stay with a person.

Principle 04

Prove value early.

Fixed-scope first builds. Concrete acceptance criteria. Evidence, not promises, in every phase.

Principle 05

Leave the system better.

Usage reveals things a design can’t. We tune, extend, and document, so the system gets better in your hands, not worse.

Ready to map the work?

Let’s draw your operation. Then let’s build the AI for it.

The first conversation is short, structured, and focused on understanding your workflows. You’ll leave with a clearer view, whether or not Sim ends up being the right fit.