Business Integra
— § 01 · Practice Brief← Index of capabilities
01

BION GenAI Foundry

BION is our applied GenAI foundry, engineered for federal environments where governance, provenance, and auditability are non-negotiable. We bring the model, the guardrails, and the mission intuition into one practice.

Abstract

Designed to transform the way the federal government delivers its mission and protects its citizens, BION accelerates mission delivery with AI — while safeguarding rights, safety, and environmental and cultural equities.

— ACapabilities

What we deliver.

  • 01Agency-specific generative AI platforms
  • 02Retrieval-augmented generation on classified corpora
  • 03Responsible AI governance & model risk management
  • 04Human-in-the-loop workflows for high-stakes decisions
  • 05Secure fine-tuning & model evaluation pipelines
  • 06BI AI Advisory — strategy, policy, and adoption
— BPractice lanes

Governed AI, built for the mission

Eight practice lanes carry a BION engagement from discovery to a deployed, auditable model.

  • AI lifecycle

    Discovery, design, build, evaluate, deploy, monitor — one accountable loop.

  • Explainability

    Model cards, lineage, and decision rationales ready for the audit.

  • Ethics & bias review

    Standing review boards on every high-stakes workflow.

  • Provenance & controls

    Data, model, and artifact provenance written in at ingestion.

  • Retrieval-augmented

    Grounded answers on mission corpora — classified or open.

  • Human-in-the-loop

    Analyst confirmation queues for irreversible actions.

  • Secure fine-tuning

    Parameter-efficient tuning on isolated tenants, no leakage.

  • BI AI Advisory

    Policy, posture, and adoption strategy from standing SMEs.

"
BI delivered an analyst-facing GenAI workflow that actually passed our model-risk board — artifacts, evals, and all.
Deputy CIO·Federal Civilian Agency
— CProgram highlights
  • BION · CASE

    Analyst copilot for cross-domain review

    Cut triage from hours to minutes on a classified corpus with full lineage capture.

  • BION · PROGRAM

    Responsible-AI governance stand-up

    Standing review board, model-card library, and an evaluation harness operating in 12 weeks.

— DMeasured outcomes

Numbers that matter.

Each engagement closes a measurement loop. Representative results across similar missions.

D.01
−62%
Decision-cycle time
D.02
4.1×
Analyst throughput
D.03
100%
Governed model artifacts
— EExplore more capabilities
— Closing

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