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Knowledge • Intel • Guidance

Decision-making under uncertainty—made measurable.

We design decision science workflows and GenAI systems that transform complex inputs into credible guidance.

UNCERTAINTY Probability-aware outputs
RIGOR Decision traceability
VELOCITY Prototype → deploy

Services

Built for leaders who need credible, explainable decisions—fast.

Decision Science

Operational analytics, prioritization, scenario design, and decision-quality frameworks.

LLM / GenAI Implementation

RAG, agent workflows, evaluation, and governance aligned to real decision points.

Workflow Automation

Repeatable pipelines that reduce cycle time and standardize outputs across teams.

Requirements & Roadmapping

Turn ambiguity into measurable outcomes, OKRs, and experiment-driven plans.

Decision Support Products

Tooling that embeds your methodology into usable interfaces and dashboards.

Enablement

Training and playbooks so teams adopt the process—not just the prototype.

Approach

A repeatable method that keeps decisions explainable and measurable.

  1. 01

    Frame the decision

    Define outcomes, constraints, and what “good” looks like—before tools or models.

  2. 02

    Model uncertainty

    Turn assumptions into probabilities; expose sensitivity and risk explicitly.

  3. 03

    Build the workflow

    Deliver a usable interface (often Streamlit) that standardizes outputs.

  4. 04

    Operationalize

    Deploy with evaluation, governance, and training so it scales beyond one team.

About KIG

KIG Consulting (Knowledge, Intel & Guidance) improves decision quality using rigorous frameworks and modern GenAI.

What you get

  • Clear decision framing and measurable outputs
  • LLM systems that support (not replace) decision makers
  • Interfaces designed for repeatability and adoption

What we avoid

  • “AI theater” without operational value
  • Black-box recommendations
  • Tools that can’t be explained or maintained

Contact

When you’re ready, we’ll wire this to a real form handler. For now, keep it simple.