Capabilities
AIW OS Enterprise v0.9.0-alphaschema 2026.07.1 · agent protocol 0.9

Every AI system claimsto be intelligent.Almost none can prove it.

There's a difference between a system that produces answers and a system that produces answers you can defend. Most AI tools were built for the first problem.

They generate. They summarize. They predict. But ask them to show their work — to trace a claim back to a source, to explain why one option scored higher than another, to produce a decision record that survives an audit — and they go quiet.

That silence is a liability. In federal contracting, in intelligence work, in any environment where decisions carry consequences, "the AI said so" is not a defensible answer.

AIW was built for the second problem.

Six capabilities. Every one designed to make AI decisions traceable, governed, and defensible — not just fast.

Six capabilities. One governing principle.

01Governance-First
Defensible by design
02Bayesian Engine
P(H|E) computed
03Policy-Constrained
Scope enforced at inference
04Evidence Linkage
P(claim|source) cited
05Local-First Ops
Cloud routing policy-gated
06Workflow Automation
Evidence-linked decisions
07Dissemination Suite
P(delivery|channel) = 1.00
POSTERIORP(H|E)
LIKELIHOODP(E|H)
PRIORP(H)
EVIDENCEP(E)

Intelligent isn't enough.Defensible is the standard.

01

Governance-First Architecture

Every decision is documented, traceable, and defensible before it leaves the system.

P(defensible | output) = high
Structured approval chains with human-in-the-loop checkpoints
Tamper-evident audit records — every output timestamped and cryptographically signed
Decision reconstruction: any output can be replayed with full context
Role-based access control aligned to organizational policy
Policy enforcement at the inference layer — not bolted on after
02

Bayesian Decision Engine

Probability-backed decisions that weigh evidence, context, and prior outcomes — not pattern-matched guesses.

P(H|E) = P(E|H) · P(H) / P(E)
Multi-model ensemble scoring with confidence intervals
Prior outcome weighting — learns from historical decision data
Context-aware inference: mission scope, data classification, time constraints
Human feedback integration — corrections update the model weighting
Explainable outputs: every score includes its derivation path
03

Policy-Constrained Intelligence

AI that operates within its authorized scope — by design, not by configuration.

Out-of-scope outputs blocked by policy
Data segmentation enforced at the model layer per organizational policy
Mission-scope constraints prevent out-of-bounds inference
Source-grounded generation with evidence-gap and contradiction controls
Real-time policy violation detection and hard stops
External routing controlled by deployment policy — not assumed absent
04

Per-Sentence Evidence Linkage

Every sentence in every output is traceable to a verified source with a confidence score.

P(claim | source) cited per sentence
Inline source citations with document-level provenance
Per-claim confidence scoring (0–100%) displayed in output
Model selection rationale: why this model was used for this output
Contradiction detection across source documents
Evidence gap flagging — AIW surfaces what it does not know
05

Local-First & Restricted-Network Operation

Designed for local, on-premises, hybrid, and disconnected environments — configuration-dependent.

Cloud routing controlled by deployment policy
Local inference option — no required external API calls in standalone mode
Offline model updates via secure media transfer
Hardware form factors sized for workstation, appliance, and rack deployments
Restricted-network configurations subject to customer authorization and testing
No telemetry or callbacks in local-only deployment mode
06

Workflow Automation Engine

Structured decision workflows that replace fragmented manual processes end-to-end.

Evidence-linked decisions at every step
RFP ingestion and analysis in minutes, not hours
Bayesian scoring before bid/no-bid decisions
Compliance gap detection against solicitation requirements
Proposal section generation with verified source data only
Full workflow audit trail from intake to submission
07

Production & Dissemination Suite

End-to-end production, signing, invoicing, and multi-channel dissemination — from AIW OS to any platform or stakeholder.

P(delivery | channel) = 1.00 per route
Zoho Mail — send governed reports and analyses from pgaiw.admin to any recipient with embedded video meeting links
Zoho Cliq — post structured report tables, findings, and meeting links to team channels in real time
Zoho Sign — create and route signature requests for MOUs, NDAs, teaming agreements, and CBAs
Zoho Books — generate invoices, estimates, and client contacts directly from workflow outputs
Unified Share Dispatcher — dispatch any output to Email, Cliq, Slack, Teams, WhatsApp, and download simultaneously
All channels run in parallel with per-channel delivery confirmation and demo fallback
Operational Reality

The Decision Cycle.

Every AIW decision follows a governed, auditable cycle — from query to output to learning. Each step carries a Bayesian probability tag.

01
ASK

Mission-scoped query submitted within policy constraints

P(in-scope) = 1.00
02
ANALYZE

Bayesian engine weighs sources, context, and prior outcomes

P(H|E) computed
03
GOVERN

Policy layer validates output against clearance and scope

P(violation) = 0
04
EXECUTE

Confidence-scored output delivered with per-sentence evidence

Confidence scored
05
AUDIT

Full decision record written to immutable log

Hash signed
06
LEARN

Human feedback updates model weighting for future decisions

Prior updated
Technical Specifications

Built for the Environment You Actually Operate In.

AIW is designed for local, on-premises, hybrid, and restricted-network environments. Standalone deployments run inference on customer-controlled hardware. Hybrid and cloud-routing configurations are policy-controlled and customer-defined.

Full observability — every inference is logged and inspectable
External routing controlled by deployment policy — not assumed absent
Modular architecture — deploy only what your mission requires
Continuous monitoring with automated anomaly detection
AIW // SYSTEM SPECS
VersionAIW OS Enterprise v0.9.0-alpha
API Versionv1
Schema Version2026.07.1
Agent Protocol0.9
Deployment ModeLocal / On-premises / Hybrid / Restricted-network (config-dependent)
Model ArchitectureMulti-LLM ensemble with Bayesian weighting
Inference LocationLocal compute in standalone mode; routing policy-controlled
Audit StandardTamper-evident records with cryptographic signing
Clearance SupportConfiguration-dependent; subject to customer authorization
Human-in-the-LoopRequired approval gates on consequential decision outputs
Compliance Incidents0 across documented deployments
Network RequirementNone in local-only mode; hybrid routing configurable
System ConfidenceP = 0.97
SEEKER Loop Protocol

How AIW Reasons.

Every AIW decision runs through the SEEKER loop — a six-step Bayesian reasoning protocol that transforms raw queries into governed, defensible outputs.

SSYNC

Synchronize context. Identify prior knowledge, available evidence, mission scope, and applicable authorities before any inference begins.

Context window populated with mission-relevant data, policy-filtered sources, and historical decision records.

P(prior) established
EEVIDENCE

Retrieve and score authoritative sources. Apply Bayesian applicability scoring to identify the most relevant evidence for the query.

Official authority routes identified. Per-source reliability priors applied. Evidence gaps flagged before proceeding.

Sources scored and ranked
EEXAMINE

Challenge assumptions. Surface contradictions, low-confidence signals, and evidence gaps before generating output.

Contradiction detection across sources. Confidence threshold enforcement. Assumptions stated explicitly.

P(gap) flagged
KKNOWLEDGEBASE

Search the private organizational knowledge base. Retrieve internal policies, prior decisions, and institutional context.

Local knowledge packets matched to query. Organizational doctrine and prior decisions inform the recommendation.

Internal context retrieved
EEVALUATE

Apply Bayesian reasoning. Weigh evidence against priors. Compute posterior probability across competing hypotheses.

Multi-model ensemble scoring with confidence intervals. Structured decision brief prepared for human review.

P(H|E) = posterior
RRECORD

Write the tamper-evident audit log entry. Timestamp, operator, action, confidence score, and authorization status preserved.

Cryptographically signed audit record. Full decision reconstruction available at any future point.

Hash signed
SEEKER Loop Output
S·SYNC
E·EVIDENCE
E·EXAMINE
K·KNOWLEDGEBASE
E·EVALUATE
R·RECORD
Every output: governed · audited · human-approved
Unlock Modes

Two Ways to Operate AIW.

AIW operates in two governed modes — each calibrated to the operator's authority level, clearance, and mission scope. Both require human authorization. Neither acts autonomously.

Mode 01

ASK Mode

H1 · Analyst

Query-and-report mode for analysts and researchers. ASK mode runs the full SEEKER loop but delivers advisory outputs only — no execution authority. Ideal for intelligence analysis, research synthesis, and decision support.

Full SEEKER loop — advisory output only
Per-sentence source citations with confidence scores
Evidence gap flagging and contradiction detection
Read-only access — no write or execution authority
Audit log generated for every query
Clearance-filtered data access enforced at query layer
AuthorityQuery Only
AutonomyP = 0.00
AuditFull Log
PersonasANALYST · SEEKER

Mode 02

JARVIS Mode

H2–H3 · Governed Workflow

Governed workflow mode for authorized personnel. JARVIS mode runs the complete SEEKER loop with structured approval chains, workflow automation, and governed execution. Every consequential action requires explicit human authorization.

Full SEEKER loop with structured approval chains
Workflow automation — RFP, grants, compliance, workforce
Bayesian Pwin scoring and bid/no-bid decision support
Governed execution with human-in-the-loop at every gate
Immutable audit log with cryptographic signing
H2 / H3 interface tiers — PM Dashboard or Executive Command
AuthorityGoverned Workflow
AutonomyP = 0.00
AuditCryptographic
PersonasEXEC · PM · OPERATOR
Shared Principle — Both Modes

Neither ASK nor JARVIS mode takes autonomous action. Every output is advisory. Every execution requires human authorization. P(autonomous action) = 0.00 — by design, not configuration.

Capability 07 — Live Demo

Production & Dissemination.

Every governed output AIW produces can be delivered — signed, invoiced, and distributed — without leaving the platform. The dissemination suite connects directly to Zoho Mail, Cliq, Sign, and Books via OAuth2. Use the Share dispatcher to route any report or analysis to multiple platforms simultaneously.

Zoho Mail

HTML reports with video meeting buttons

P(delivered) = 0.99Live Demo
Zoho Cliq

Structured tables + meeting links to channels

P(posted) = 0.99Live Demo
Zoho Sign

MOUs, NDAs, teaming agreements, CBAs

P(signed) trackedLive Demo
Zoho Books

Invoices, estimates, client contacts

P(invoiced) = 0.99Live Demo
Share Hub

Email + Cliq + Slack + Teams in parallel

All channels at onceLive Demo
Live — Zoho OAuth2 · [email protected] · Demo fallback active
Unified multi-channel dispatcher
Zoho OAuth2 · Live with demo fallback

Unified dispatcher — send any AIW OS report, analysis, or document to multiple platforms simultaneously. Select channels, add recipients, and optionally embed a video meeting link. All dispatches run in parallel.

Report / document title
Source module
Content summary
Channels
Email recipients (comma-separated)
Video meeting link (optional — embeds join button in all channels)
Zoho Mail Zoho Cliq Zoho Sign Zoho Books Zoho CRM All operations use existing Zoho OAuth2 credentials · [email protected]
Enterprise Modules · v0.9.0-alpha

AIW OS Enterprise Module Registry

14 modules across Fusion, Knowledge Matrix, Governance, Audit, and Air-Gapped operation. Hover any tile to see authority gate and SEEKER stage.

AIW OS Enterprise v0.9.0-alpha
FusionAlpha

Turns approved system inputs into reusable organizational IP. Generates versioned knowledge packets with source hashes, citations, Bayesian confidence, and HITL release gates.

Gate: Human Approval Required·SEEKER: Evaluate
Knowledge MatrixAlpha

Organization-owned knowledge store. Policy-constrained retrieval enforced at API, database row-level, and retrieval filter layers. Versioned with source hashes.

Gate: Risk-Tiered·SEEKER: Knowledgebase
MonetizationAlpha

Converts governed decision outputs into monetizable products: assessments, subscriptions, licensed playbooks, and advisory engagements.

Gate: Advisory·SEEKER: Record
TrainingAlpha

Role-based onboarding, scenario exercises, knowledge checks, and supervisor review guides — all persona-adapted and citation-backed.

Gate: Advisory·SEEKER: Sync
EducationAlpha

Micro-courses, facilitator guides, and citation-backed reading lists derived from approved Fusion packets.

Gate: Advisory·SEEKER: Evidence
RecommendationsAlpha

Validate with accountable owner → pilot with bounded group → measure outcomes → update priors from results. Every recommendation is evidence-linked and posterior-ranked.

Gate: Risk-Tiered·SEEKER: Evaluate
GovernanceAlpha

Cross-module governance engine. Enforces HITL release gates, risk tiers, RBAC/ABAC, immutable audit storage, and decision trace transparency (spec §7).

Gate: Human Approval Required·SEEKER: Record
OrganizationsAlpha

Multi-tenant org management. Every record carries org_id. Tenant isolation enforced at API authorization, PostgreSQL row-level security, and knowledge retrieval filters.

Gate: Human Approval Required·SEEKER: Sync
ConnectorsAlpha

Allowlisted external data connectors (Zoho, VA, SAM.gov, NERC, CMMC, etc.). Each connector is policy-tagged and classification-checked before evidence ingestion.

Gate: Risk-Tiered·SEEKER: Evidence
AuditAlpha

Immutable audit storage for every SEEKER cycle. Stores prompt, evidence, routing, citations, human disposition, and outcome as new prior for future inference.

Gate: Human Approval Required·SEEKER: Record
Version UpdatesAlpha

Signed release bundles with hash verification, schema migration, staging validation, admin approval, and automatic rollback on failure. Offline install supported.

Gate: Human Approval Required·SEEKER: Sync
Local WorkstationAlpha

Local embedded models, dual OS, GPU acceleration, ECC memory, high-speed networking, mesh connectivity. Hardware substrate for sovereign AI operation.

Gate: Advisory·SEEKER: Sync
Air-Gapped ModeAlpha

Full AIW OS operation with no external network dependency. Local Ollama inference, offline update bundles, air-gapped reconciliation, and tamper-evident audit trail.

Gate: Human Approval Required·SEEKER: Record
AIW-ITX: Charles County Export OSAlpha

International Trade, Export Readiness & Business Growth OS for Charles County businesses. Guides intake, readiness assessment, training, market fit, partner matching, compliance preparation, Zoho pipeline management, and governed export execution.

Gate: Human Approval Required·SEEKER: Evaluate
Create your first Fusion packet
Turn approved evidence into governed organizational IP.
1
Choose an objective
Select strategy, training, education, monetization, recommendation, compliance or proposal.
2
Select authorized sources
Only select information your organization permits for the stated purpose.
3
Choose organization and persona
AIW adapts structure and optionality while retaining the same governance rules.
4
Review evidence
Inspect source IDs, hashes, citations, freshness and reliability.
5
Review uncertainty
Check assumptions, conflicts, evidence gaps and confidence.
6
Approve or return
An authorized reviewer releases high-risk packets.
Multi-tenant
Fusion packets
HITL release
Citations
Confidence scoring
Offline bundles
Policy-constrained retrieval
Persona adaptation

See These Capabilities in a Live Environment.

Request an executive briefing — classified and unclassified options available.