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D squared Enterprise Advisory

Advisory Offers

Focused advisory. Practical outcomes.

Each offer answers a specific leadership question about readiness, architecture, governance, modernization or assurance, and concludes with outputs your organization can act on.

Every offer sits within the D² Assess → Architect → Enable engagement model, so you can start at the stage where clarity, design or delivery support is needed most.

Assess

Understand readiness, maturity, risks, opportunities and priorities.

Assess

AI Readiness & Adoption Assessment

Evaluate business readiness, data, platforms, governance, security, operating model and delivery capability. Produce a prioritized AI adoption roadmap.

Typical outcomes

  • Clear view of readiness strengths and gaps
  • Prioritized, value-ranked AI use cases
  • A realistic roadmap from pilots to production

Ideal for: Organizations beginning or accelerating AI adoption

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Assess

Enterprise Architecture Health Check

Assess the architecture practice, decision processes, technology landscape, technical debt and alignment between strategy and delivery.

Typical outcomes

  • Honest picture of architecture effectiveness
  • Clear priorities for strengthening the practice
  • Better-aligned strategy, architecture and delivery

Ideal for: Organizations formalizing or rebooting an architecture practice

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Assess

Data & AI Governance Assessment

Assess data ownership, quality, lineage, access, AI controls, decision rights and governance maturity.

Typical outcomes

  • Clarity on where governance is helping or hindering
  • Practical ownership and quality improvements
  • Foundations for trustworthy AI adoption

Ideal for: Organizations whose AI plans depend on trusted data

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Assess

Secure Delivery & DevSecOps Assessment

Evaluate pipelines, automation, identity, secrets, vulnerabilities, observability and security-by-design practices.

Typical outcomes

  • Clear view of delivery-security gaps
  • Controls embedded in pipelines, not paperwork
  • Faster delivery with fewer late-stage surprises

Ideal for: Organizations scaling engineering teams

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Assess

Vendor & Platform Evaluation

Independent, structured evaluation of technology vendors and platforms based on business fit, architecture, risk and total cost.

Typical outcomes

  • A decision grounded in fit, not sales cycles
  • Risks and costs understood before signing
  • An audit-ready selection rationale

Ideal for: Organizations making major platform commitments

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Architect

Develop the target state, roadmap, governance and architecture.

Architect

Enterprise Architecture Foundation

Establish a right-sized enterprise architecture practice with the operating model, governance, standards and roadmap needed to guide technology decisions.

Typical outcomes

  • A working architecture practice, not a binder
  • Clear decision rights and governance rhythm
  • A roadmap connected to business priorities

Ideal for: Mid-market organizations establishing architecture for the first time

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Architect

Responsible AI Governance Framework

Establish responsible AI principles, risk classification, intake, review, decision rights, human oversight, monitoring and accountability.

Typical outcomes

  • Clear ownership of AI decisions and outcomes
  • Proportional controls that enable adoption
  • Confidence for boards, regulators and customers

Ideal for: Regulated organizations adopting AI

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Architect

Cloud & Platform Modernization Roadmap

Create a modernization strategy across cloud, applications, integrations, engineering platforms, resilience and cost management.

Typical outcomes

  • A modernization sequence leaders can defend
  • Platform foundations ready for AI workloads
  • Deliberate control of cost, risk and resilience

Ideal for: Enterprises modernizing fragmented technology platforms

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Architect

Fractional Chief Architect

Senior architecture direction, executive advisory, governance, roadmap oversight, design assurance and architecture-team coaching without a full-time executive hire.

Typical outcomes

  • Senior direction without full-time executive cost
  • Technology decisions made with confidence
  • An architecture team that grows stronger over time

Ideal for: Mid-market organizations requiring enterprise-level architecture leadership

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Architect

Technology Strategy & Roadmap

Translate business direction into a clear technology strategy, investment priorities and an executable multi-year roadmap.

Typical outcomes

  • A shared frame for technology investment
  • Priorities that survive budget cycles
  • A roadmap teams can actually execute

Ideal for: Executives resetting technology direction

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Enable

Validate and assure delivery through review, oversight and selected implementation.

Enable

Architecture Review & Design Assurance

Independent review of major solutions, platforms, vendors and transformation initiatives.

Typical outcomes

  • Independent confidence in major decisions
  • Risks surfaced while they are still inexpensive
  • Designs aligned with enterprise architecture

Ideal for: Organizations making major platform or vendor commitments

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Enable

AI Solution Architecture Review

Independent review of an AI solution's architecture: data, models, integration, security, cost, oversight and readiness for production.

Typical outcomes

  • Confidence before production commitment
  • Risks and gaps identified early
  • A concrete path to production readiness

Ideal for: Teams moving AI pilots toward production

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Right-sized by design

Engagements sized to your organization, not a template.

Every engagement is scoped against the factors that actually determine effort and depth:

  • Complexity
  • Maturity
  • Risk
  • Scope
  • Organizational scale
  • Regulatory requirements
  • Delivery capacity

Engagement formats and commercial terms are agreed per engagement, after an initial conversation about scope and priorities.

Start with the offer that answers your most pressing question.

If none of them fits exactly, that is normal. Most engagements are shaped in the first conversation.