Bilytica AI Frameworks

    The methods behind AI programmes that reach production

    A named framework library covering AI, data and analytics, and Saudi standards. Each method fixes what the data layer can be trusted to do, changes how decisions are made and evidenced, and moves the business measures your board already reads, mapped to the standards your regulator and auditor already recognise.

    Where the value lands

    What these methods change

    A framework is only worth the change it produces. Ours are written to move the data layer, the decision layer and the measures at once, and each stage states which one it is moving.

    At the data layer

    Ownership, lineage, quality thresholds and residency become explicit, so a workload can be certified to stand on a defined domain rather than on assumption.

    At the decision layer

    Decisions move from opinion to evidence: a named owner, a gate that must be passed, and a record an auditor, a regulator or the board can inspect after the fact.

    In the business measures

    The change is reported in the measures leadership already tracks, cycle time, cost to serve, risk exposure, service levels and revenue captured, not in model metrics alone.

    Framework selector

    Choose your AI framework

    Answer a few questions and we point you to the framework to start with, and what follows it.

    1

    Your industry

    2

    What you are trying to do

    3

    Where you are today

    Pick all three to see your recommendation, 0 of 3 chosen.

    The library

    The framework library

    The methods that carry an AI programme from a readiness score to a governed release a regulator can inspect, trusted data, evidenced decisions, measurable business outcomes.

    DFFv2.1

    Data Foundation Framework

    The layers that turn scattered systems into data an AI system is allowed to use.

    Decision cycle
    1. 1Capture
    2. 2Contract
    3. 3Consolidate
    4. 4Curate
    5. 5Certify

    Each step closes on an exit gate, so the control is evidenced before the next decision is taken.

    Data layer
    Foundation
    Decision layer
    Every source has a named owner, a refresh frequency and a lawful basis for use.
    Business measures
    Domain data contracts
    Accountable
    Run by data engineering and data governance; signed off by the data owner of each domain.
    First pass
    First certified domain in six to ten weeks; each additional domain runs shorter as the contracts and tests are reused.
    Open the framework
    AIRMv2.0

    AI Readiness Model

    Six dimensions, five levels, one honest picture of what your organisation can actually run.

    Decision cycle
    1. 1Scope
    2. 2Evidence
    3. 3Gap
    4. 4Sequence
    5. 5Re-score

    Each step closes on an exit gate, so the control is evidenced before the next decision is taken.

    Data layer
    Diagnose
    Decision layer
    The scope names decisions, not departments.
    Business measures
    Scored maturity profile
    Accountable
    Run jointly by the CDO or CIO office and the business sponsor of the first workload.
    First pass
    Two to three weeks including interviews, evidence review and the roadmap workshop.
    Open the framework
    VALUEv1.4

    AI Value Framework

    From use-case long list to booked benefit, with unit economics attached at every step.

    Decision cycle
    1. 1Discover
    2. 2Size
    3. 3Sequence
    4. 4Commit
    5. 5Realise

    Each step closes on an exit gate, so the control is evidenced before the next decision is taken.

    Data layer
    Decide
    Decision layer
    Each candidate names a decision and the person who makes it today.
    Business measures
    Sized use-case portfolio
    Accountable
    Owned by the business sponsor with finance as co-signer on the benefit definition.
    First pass
    Three to four weeks for a portfolio pass; benefit tracking then runs quarterly.
    Open the framework
    TRUSTv2.2

    AI Assurance Framework

    One control set that answers NIST, ISO 42001, the EU AI Act and the Saudi regulators at once.

    Decision cycle
    1. 1Classify
    2. 2Control
    3. 3Evidence
    4. 4Attest
    5. 5Monitor

    Each step closes on an exit gate, so the control is evidenced before the next decision is taken.

    Data layer
    Assure
    Decision layer
    The tier is recorded before any model touches production data.
    Business measures
    Tiered control matrix
    Accountable
    Owned by risk and compliance, operated with the delivery team that builds each workload.
    First pass
    Control set stood up in four to six weeks; evidence then accrues automatically per release.
    Open the framework
    DELIVERv2.0

    AI Delivery Framework

    Seven gated stages from framing to operations, each with evidence you cannot skip.

    Decision cycle
    1. 1Frame
    2. 2Ground
    3. 3Prototype
    4. 4Evaluate
    5. 5Harden
    6. 6Launch
    7. 7Operate

    Each step closes on an exit gate, so the control is evidenced before the next decision is taken.

    Data layer
    Build
    Decision layer
    A written definition of a wrong answer exists.
    Business measures
    Golden dataset and evals
    Accountable
    Run by the delivery lead; each gate is signed by the business owner and by risk where the tier requires it.
    First pass
    First governed release typically in weeks, not quarters, once the data domain is certified.
    Open the framework
    AGENTv1.6

    Agent Operations Framework

    Autonomy tiers, tool boundaries and human checkpoints, so agents can act without becoming a liability.

    Decision cycle
    1. 1Tier
    2. 2Bound
    3. 3Checkpoint
    4. 4Evaluate
    5. 5Observe
    6. 6Contain

    Each step closes on an exit gate, so the control is evidenced before the next decision is taken.

    Data layer
    Act
    Decision layer
    Irreversible actions never sit above the reviewed tier.
    Business measures
    Autonomy tier policy
    Accountable
    Owned jointly by the process owner and security; operated by the platform team.
    First pass
    Tiering and boundaries defined in two weeks; then applied per agent at delivery time.
    Open the framework
    SOVEREIGNv1.5

    Sovereign AI Framework

    Residency, key custody, model routing and Arabic quality treated as architecture, not policy text.

    Decision cycle
    1. 1Classify residency
    2. 2Place the stack
    3. 3Custody keys
    4. 4Route models
    5. 5Assure Arabic
    6. 6Plan the exit

    Each step closes on an exit gate, so the control is evidenced before the next decision is taken.

    Data layer
    Sovereignty
    Decision layer
    No workload starts before its data classes have a residency rule.
    Business measures
    Residency matrix
    Accountable
    Owned by the CISO and the data protection officer, with architecture accountable for the design.
    First pass
    Reference design in three to five weeks, then applied to every workload as a standing constraint.
    Open the framework
    Why this exists

    Standards say what good looks like. These say what to do on Monday.

    1

    Every stage ends with an artefact, so progress is evidenced instead of reported.

    2

    Every framework crosswalks to the standards a regulator or auditor already uses.

    3

    Every framework carries industry overlays, and Arabic quality is a release condition, not a translation task.

    FAQ

    Frequently Asked Questions

    What is the Bilytica AI Operating System?

    It is the end-to-end method that connects diagnosis, decision, the data foundation, delivery, agent operations, assurance and sovereignty, so each stage hands the next one a defined artefact and the value is visible at the data layer, the decision layer and the business measures.

    Are these frameworks a replacement for NIST or ISO 42001?

    No. They are an operating layer on top of them. Each framework states which clauses and functions of the recognised standards its controls and artefacts satisfy.

    Can a framework be adapted to our industry?

    Yes. Every framework carries an industry overlay for banking, government, healthcare, telecom, manufacturing, retail and energy that changes the gates and controls, not the structure.

    Where should an enterprise start?

    With the readiness model to see the real level, then the data foundation framework on the single domain the first workload depends on.