Answers for
enterprise evaluators.

Global AI (GLAI) is an enterprise AI company. We build AEOS, the Agentic Enterprise Operating System, a platform that lets enterprises design, deploy, and orchestrate AI workflows with governance, compliance, and security embedded from day one. AEOS turns AI pilots into production-grade, auditable operations that generate measurable shareholder value.

AEOS (Agentic Enterprise Operating System) is GLAI's flagship platform. It is purpose-built for regulated, mission-critical environments — financial services, healthcare, pharma, insurance, manufacturing — where AI must be governed, traceable, and compliant before it can scale. AEOS orchestrates AI agents across enterprise systems, enforces policy at every step, and produces full audit trails automatically.

Agentic AI refers to AI systems that can autonomously plan, execute, and adapt multi-step workflows on behalf of an organization — not just answer questions. AEOS agents take action across your enterprise systems: routing decisions, processing documents, orchestrating approvals, managing exceptions, and completing end-to-end workflows without requiring manual handoffs at every step.

Traditional RPA is built on brittle screen-scraping bots that break when UIs change and require specialized developers to maintain. AEOS is AI-native: it understands intent, governs execution, and handles exceptions intelligently. More importantly, AEOS embeds compliance and audit trails by design — not as a bolt-on. The result is automation that is enterprise-grade from the start, not after the fact.

Generic AI platforms are foundation layers — they provide model access but not governed enterprise deployment. AEOS is the execution and orchestration layer built on top: it takes AI from capability to compliant production workflow. AEOS adds policy enforcement, audit logging, role-based access, regulatory alignment, and exception routing that no foundation model provides out of the box.

AEOS is designed to execute deterministically within governed policy boundaries. Unlike pure LLM deployments, AEOS agents operate within defined workflows, policy rules, and human-in-the-loop checkpoints so every action is traceable and authorized. We do not expose raw generative AI outputs in mission-critical decision pathways without human oversight and audit controls.

ValueOps is GLAI's methodology for measuring and demonstrating shareholder value from AI deployments. Before any engagement, we define the business outcome — cycle time reduction, error rate, compliance cost, headcount reallocation — and instrument AEOS to report against it. Boards and CFOs get a direct line from AI investment to financial performance.

Most enterprise AI failures happen at the governance layer — not the model layer. Organizations deploy capable AI and then discover they can't audit it, can't explain its decisions to regulators, and can't enforce policy at scale. GLAI builds governance into the architecture from the start: every workflow step is policy-bound, every decision is logged, and every exception is routed to the right human with full context.

AEOS is designed to support compliance with EU AI Act Article 11 (documentation and traceability requirements), NIST AI RMF, SR 26-2 (Federal Reserve model risk guidance for agentic AI), HIPAA, SOC 2, and GDPR. Regulated industry teams can map their specific compliance requirements to AEOS governance controls during onboarding.

Yes. GLAI maintains SOC 2 Type II certification. Full security documentation is available to enterprise evaluators under NDA. Contact our team at contact@global.ai to request the trust package.

When an AEOS agent encounters a scenario outside its defined policy boundary, it pauses — not fails. The exception is routed to the appropriate human reviewer with full context: what the agent was doing, what rule it hit, and what input it received. The reviewer resolves the exception; the agent resumes from the exact point of pause. Every exception and its resolution is logged permanently.

Yes. AEOS has configurable human-in-the-loop checkpoints at any workflow step. You define the policy: dollar thresholds, risk scores, document types, or any custom condition that should trigger human review. This makes AEOS suitable for both fully automated low-risk workflows and heavily supervised high-stakes decisions — within the same platform.

A single mission-critical workflow — for example, invoice processing, claims routing, or regulatory document review — typically goes live in 14–30 days through our Proof of Value (POV) engagement. Broader enterprise rollouts across multiple workflows and business units follow a phased deployment plan. GLAI assigns a dedicated solutions engineer to every POV.

A POV is a 30-day production deployment of AEOS on one real workflow with your actual data and systems. We define success metrics before we start — agreed with your C-level sponsor — and measure against them at the 30-day readout. If the metrics are met, conversion to an enterprise agreement is the natural next step. There is no risk of a POV that has no outcome: we scope for measurable results on day one.

No. AEOS is designed to reduce, not increase, your internal AI and engineering dependency. Business operators and process owners drive workflow design; GLAI's solutions architects provide the technical layer during initial deployment. Over time, your operations team becomes self-sufficient on the platform.

AEOS integrates with SAP, Oracle, Workday, Salesforce, ServiceNow, Microsoft Dynamics, Epic, NetSuite, Snowflake, and 100+ other enterprise systems via pre-built connectors. The platform also handles unstructured inputs — PDFs, emails, scanned documents, EDI feeds — that don't expose APIs. Custom integrations are supported for proprietary systems.

Yes. AEOS is designed to coexist with existing RPA investments during migration periods. The most common pattern is to leave stable, low-exception bots in production while migrating the high-maintenance, compliance-heavy, exception-prone workflows to AEOS first. Organizations typically consolidate onto AEOS over 12–24 months as ROI compounds.

AEOS supports cloud (AWS-native), on-premise, and hybrid deployment topologies. For highly regulated environments — government, defense, healthcare — on-premise and air-gapped deployments are available. Deployment topology is discussed and scoped during the initial engagement.

AEOS is priced on an enterprise subscription model, scoped by the number of workflows deployed, transaction volume, and integration complexity. We do not use per-bot or per-user licensing; pricing scales with the value you generate, not the seats you provision. Contact us at contact@global.ai or book a scoping session to receive a tailored proposal.

Yes — through our Proof of Value program. Rather than a generic free trial, we run a structured 30-day POV on a real workflow with real data. This gives you production evidence of ROI, not a sandbox demo. The POV is a low-commitment, high-signal way to evaluate AEOS before an enterprise agreement.

Enterprise agreements are annual or multi-year, with volume-based pricing and optional professional services for complex deployments. Multi-business-unit rollouts qualify for committed-volume discounts. Specific contract structures are negotiated with the GLAI commercial team during the evaluation process.

Global AI (OTC: GLAI) is a publicly traded enterprise AI company. We are purpose-built for regulated, mission-critical environments — the industries where AI governance is not optional. Our leadership team brings decades of enterprise software, AI, and regulated industry experience. GLAI's commitment is to help enterprises generate measurable, auditable value from agentic AI — not to sell demos.

GLAI's primary verticals are financial services, insurance, healthcare, pharma/biotech, manufacturing, and government. These are industries where governance, compliance, and audit-readiness are non-negotiable — and where AEOS's built-in governance layer creates the most differentiated value.

Reference customers and case studies are available under NDA for qualified enterprise evaluators. Contact contact@global.ai to request references in your specific vertical.

GLAI is actively pursuing coverage from Gartner, Forrester, and IDC as the agentic AI market matures through 2026. Analyst briefings are ongoing. Contact us for the latest analyst engagement status.

The fastest path is to book a 30-minute scoping call with our team. We will discuss your use cases, identify the highest-value workflow for a POV, and outline what success looks like before you commit to anything. Visit global.ai or email contact@global.ai to schedule.

Kognitos focuses on English-as-Code automation — describing workflows in plain English for deterministic execution. GLAI's AEOS goes a layer deeper: we are an Agentic Enterprise Operating System that orchestrates multi-agent workflows, enforces governance policies across the full enterprise, and generates the regulatory and board-level audit trail that regulated industries require. Kognitos excels at automating discrete processes. AEOS is the system that governs, monitors, and scales AI across the entire enterprise.

UiPath is an RPA platform that has added AI capabilities over time. AEOS is AI-native from the foundation — built for agentic, multi-step AI workflows rather than UI automation bots. For organizations where the primary challenge is AI governance, regulatory compliance, and scalable agentic deployment — not clicking through legacy UIs — AEOS is the architectural fit.

Hyperscalers provide the AI infrastructure layer: models, compute, and developer APIs. AEOS is the enterprise deployment layer that sits above them: governance, workflow orchestration, compliance controls, audit trails, and human-in-the-loop routing. GLAI is a partner to hyperscalers — not a competitor. AEOS runs on AWS and integrates with Azure and Google Cloud services.

Agent frameworks are developer tools for building custom AI agent systems. AEOS is a production-grade enterprise platform with governance built in, pre-built integrations, security certifications, and a support model for regulated industries. Organizations that have tried to build their own agent infrastructure on open-source frameworks typically come to AEOS when they need audit-readiness, policy enforcement, and enterprise reliability that frameworks don't provide.