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Enterprise AI governance · Emerging technology

Govern what’s next.

Quantum AI Strategy Group provides visibility, governance, assurance, and intelligence for enterprise AI and emerging technology, so organizations can move from AI assumptions to evidence.

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In production
QWatch · QComp
In development
QERA · QCode · QScale
Advisory
Strategy · Governance · Security
Enterprise AI telemetry flowing through QAISG governance Identities, devices, browsers, AI platforms and network telemetry feed a governance layer that produces policy decisions, actions through enterprise controls, and evidence. Identities Devices Browsers AI platforms Network Discover Attribute Assess Govern Policy decisions Enterprise controls Evidence & reporting TELEMETRY SOURCES GOVERNANCE LAYER GOVERNED OUTCOMES

01 The market problem

AI adoption has outpaced enterprise visibility.

Assistants in browsers, copilots in productivity suites, models called from scripts, and agents acting on behalf of people arrived faster than the governance to observe them. Most organizations can describe their AI policy. Far fewer can show what is actually happening.

The result is a widening gap between adoption and governance. Closing it starts with answering a handful of concrete questions with evidence rather than assumptions.

  1. 01

    Which AI tools are actually being used?

    Discovery across identity, endpoint, browser, platform, and network telemetry.

  2. 02

    Who is using them, and in which parts of the business?

    Attribution to identities, groups, and business units.

  3. 03

    Which devices and identities are involved?

    Device and identity context for every observed interaction.

  4. 04

    How is AI interacting with enterprise systems?

    Observed connections between AI tools and enterprise platforms, integrations, and identities, with sensitivity indicators from integrated controls.

  5. 05

    Can governance teams produce evidence of controls and activity?

    Attributable, time-stamped records tied to policy and controls.

02 What QAISG does

Visibility leads to governance. Governance produces evidence. Evidence enables scale.

Four connected disciplines, applied in order, form the operating philosophy behind every QAISG platform and engagement.

  1. Visibility

    01 Discover

    Establish an evidence-based inventory of AI tools, models, and services, attributed to the identities and devices using them.

  2. Governance

    02 Govern

    Apply policy through decisions, approvals, and exceptions, enforced by the enterprise controls already in place.

  3. Assurance

    03 Evidence

    Produce attributable records that connect activity, controls, and outcomes to the frameworks that require them.

  4. Readiness

    04 Enable

    Use that foundation to adopt AI, agents, and emerging technology responsibly and at scale.

03 Featured platform

Available

You cannot govern AI you cannot see.

QWatch is an enterprise AI visibility, governance, risk, and containment platform. It establishes an evidence-based picture of observed AI activity across identities, devices, browsers, enterprise AI platforms, and integrations, and turns it into governed outcomes.

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Illustrative interface. Data shown is not from a customer environment.

Operating lifecycle

  1. Discover Detect AI tools and services across telemetry sources.
  2. Attribute Connect activity to identities, devices, and groups.
  3. Assess Evaluate observed activity against policy, sensitivity indicators, and risk.
  4. Govern Apply policy decisions with approvals and exceptions.
  5. Contain Enforce through integrated enterprise security controls.
  6. Evidence Report activity, decisions, and outcomes with provenance.

  • AI discovery

    Identify sanctioned and unsanctioned AI tools, models, assistants, and services in use across the enterprise.

  • Identity attribution

    Attribute AI activity to identities, devices, and business units so usage becomes accountable, not anonymous.

  • Adoption analytics

    Understand adoption trends, concentration of use, and which enterprise platforms and integrations AI tools are connected to.

  • Risk monitoring

    Assess observed AI activity against policy, sensitivity indicators from integrated controls, and vendor posture. Surface exceptions early and continuously.

  • Governed containment

    Translate policy into action through integrated enterprise controls such as identity, endpoint, and network platforms.

  • Governance evidence

    Produce time-stamped, attributable records of observed AI activity and control outcomes for audits, boards, and regulators.

QWatch does not sit inline in network traffic. Enforcement is performed by the integrated enterprise security controls an organization already operates.

Illustrative interface. Framework references are examples, not legal mappings.

04 Featured platform

Available

One control. Multiple frameworks.

QComp is a governance and compliance platform built around a Control Registry: a system of record for controls, framework mappings, evidence, assessments, and compliance activities. Define a control once and reuse it across every framework that requires it.

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Control reuse

CONTROL · CTL-042 AI tool access is approved and reviewed 4 evidence items attached NIST AI RMF AI risk management ISO/IEC 42001 AI management systems ISO/IEC 27001 Information security SOC 2 Trust services criteria NIST CSF Cybersecurity framework EU AI Act Regulatory obligations

From framework to reporting

  1. Framework Select the frameworks and internal policies in scope.
  2. Requirement Decompose frameworks into specific requirements.
  3. Control Define or reuse controls that satisfy requirements.
  4. Evidence Collect and review evidence that controls operate.
  5. Assessment Assess effectiveness and track remediation.
  6. Reporting Report posture and gaps by framework and unit.

Supports mapping to

  • NIST AI RMF
  • ISO/IEC 42001
  • ISO/IEC 27001
  • SOC 2
  • NIST CSF
  • EU AI Act
  • Internal governance frameworks

  • Control Registry

    A single, versioned inventory of controls with owners, scope, implementation status, and test procedures.

  • Framework mapping

    Map each control to requirements across multiple frameworks, so one implementation satisfies many obligations.

  • Evidence management

    Attach, schedule, and review evidence against controls, with provenance and freshness tracked over time.

  • Assessments

    Run self-assessments, readiness reviews, and internal audits with consistent scoring and remediation tracking.

  • Reporting

    Report coverage, gaps, and evidence status by framework, business unit, or system to executives and auditors.

  • Governance workflow

    Coordinate reviews, approvals, exceptions, and remediation with a clear audit trail of who decided what and when.

QComp supports governance, evidence collection, framework mapping, and compliance programs. Compliance outcomes depend on how an organization designs, operates, and attests to its controls.

05 Platform portfolio

One portfolio for governing enterprise AI and what comes after it.

Two platforms in production today. Three in development, each extending the same principle: make emerging technology visible, governable, and evidenced.

Available now

In development

Three platforms in development, each extending the same visibility-to-evidence discipline into an adjacent domain. Early access participants work directly with the QAISG team.

  1. 01 In Development

    QERA Quantum Ecosystem Reference Architecture

    QERA helps organizations understand the quantum computing ecosystem: providers, capabilities, technology maturity, and commercial readiness, organized into a reference architecture that technology and strategy teams can reason about.

    Portfolio role Extends readiness planning to the quantum ecosystem and post-quantum preparation.

    Join Early Access Learn more
  2. 02 In Development

    QCode AI Software Assurance

    QCode focuses on analysis and assurance of AI-assisted software development and the software risk that comes with it: provenance of generated code, review coverage, dependency exposure, and policy adherence.

    Portfolio role Extends visibility and evidence into AI-assisted software delivery.

    Join Early Access Learn more
  3. 03 In Development

    QScale Startup Financial Intelligence

    QScale brings financial planning and operational intelligence to early-stage companies: runway, hiring plans, unit economics, and operating metrics in one place, designed for founders and operators rather than finance specialists.

    Portfolio role Extends evidence-based operating discipline to the finances of early-stage companies.

    Governance and readiness are not only technical questions. Early-stage companies, including those building on AI and quantum technology, need the same evidence-based clarity in their finances and operations that QAISG brings to enterprise AI. QScale applies that discipline to planning, runway, and reporting.

    Join Early Access Learn more

06 Governance & compliance

Governance that cannot produce evidence is a policy document.

Boards, auditors, and regulators increasingly ask the same question: show us. Enterprises need to connect what they say (policies and frameworks) to what they do (controls and technology usage) and to who did it (identities), with evidence that holds up.

  • Policies
  • Controls
  • Technology usage
  • Identities
  • Evidence
  • Risk
  • Regulatory frameworks

QWatch observes and governs AI activity and records outcomes. QComp keeps the controls, framework mappings, assessments, and reporting. Together they produce an evidence chain from an individual AI interaction to a framework requirement.

AI Risk & Compliance Governance Framework Management

07 Emerging technology

Built for the AI enterprises run today, and the technology arriving next.

The same discipline that governs assistants and copilots has to extend to agents, AI-assisted software delivery, and the quantum transition. QAISG's roadmap and advisory practice are organized around that trajectory.

  • Agentic AI

    Agents act on behalf of users and systems. Governance must extend to what agents are permitted to do, which identities they act under, and how their actions are evidenced.

  • Software assurance

    AI-assisted development changes provenance, review, and supply-chain risk. Assurance needs to follow AI into the delivery pipeline.

  • Quantum computing

    A fragmented ecosystem with uneven maturity. Leaders need a structured way to evaluate providers, capabilities, and commercial readiness.

  • Post-quantum readiness

    Cryptographic inventory, migration planning, and vendor alignment are multi-year programs that benefit from starting early and deliberately.

08 Insights

Executive briefs, technical papers, and analysis.

Concise product information lives on the site. Deeper material on governance, incidents, regulation, quantum, and software assurance is published here as articles and downloadable documents.

All insights

09 Company

Built by operators who have run enterprise technology, security, and governance programs.

QAISG is an early-stage company working with pilot customers. Our credibility rests on the experience behind the platforms and on the discipline with which we build them, not on claims of scale.

About QAISG Advisory services

  • Enterprise technology operating experience

    The team has led technology, architecture, and transformation programs inside large enterprises, not only advised them.

  • Cybersecurity and risk leadership

    Security operations, identity, and risk management experience informs how QAISG designs visibility and containment.

  • AI governance and compliance practice

    Hands-on work with AI governance frameworks, control design, evidence programs, and regulatory readiness.

  • Product development with pilot customers

    QWatch and QComp are in production and are being deployed with pilot customers whose feedback shapes the roadmap.

Trust Center

Governance technology should be governed well itself.

How QAISG approaches security, privacy, data collection and retention, subprocessors, and responsible AI is documented in the Trust Center.

Get started

Move from AI assumptions to evidence.

Whether you are establishing visibility for the first time or connecting an existing program to frameworks and evidence, start with a conversation about the questions you need to answer.

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