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MagnaQore

Services

Four flagship services. One transformation system.

Each service can stand alone. Together they move an organization from AI ambition to a durable, internally owned capability.

01Flagship service

Enterprise AI Transformation Assessment

A 360° diagnostic of your organization's readiness to become AI-native.

We assess operations, departments, processes, systems, governance, legal risk, data, knowledge, leadership, culture, and AI opportunity.

What you receive

  • Enterprise process and operating-model assessment
  • Department and stakeholder interviews
  • AI readiness and maturity review
  • Data, systems, and knowledge-flow analysis
  • Governance, legal, and risk assessment
  • Quantified inefficiency and opportunity map
  • Prioritized AI use-case portfolio
  • Transformation roadmap and executive findings
Phase one — Enterprise AI Transformation Assessment: Before implementing technology, we first understand the business.

Phase one — Enterprise AI Transformation Assessment

Before implementing technology, we first understand the business.

  • Deep business understanding
  • Mapping opportunities and values

11 parallel diagnostic tracks, run before a single system is designed.

  1. 01Organisation lossesWhere the organisation is currently losing time, money, and operational efficiency.
  2. 02Workflow friction heatmapWhich workflows generate the highest operational friction.
  3. 03AI-ready processesWhich business processes are immediately ready for AI automation.
  4. 04Process redesignWhich processes should first be redesigned before automation.
  5. 05Department-by-department mappingDepartment-by-department AI opportunity mapping.
  6. 06High-value use casesHigh-value use cases with measurable ROI.
  7. 07Tech landscape and integrationExisting technology landscape and integration opportunities.
  8. 08Data quality and AI readinessData quality and AI readiness across the systems that matter.
  9. 09Employee AI readinessEmployee AI readiness and adoption challenges.
  10. 10Governance and risk requirementsGovernance, security, compliance, and risk requirements.
  11. 11Estimated business impact and roadmapEstimated business impact and a prioritised implementation roadmap.

02Flagship service

AI Transformation Strategy & Operating Model Redesign

A board-level plan for how the organization will operate, govern, and scale AI.

We redesign the foundations required for AI adoption to work across the enterprise.

What we define

  • AI transformation strategy and roadmap
  • Single-source-of-truth strategy
  • Roles, policies, and decision rights
  • Governance and risk-management structures
  • Cross-system workflows and control points
  • Build-versus-buy and vendor strategy
  • Department redesign priorities
  • Leadership and change requirements
Build versus buy: A key strategic decision on every engagement.

Build versus buy

A key strategic decision on every engagement.

Develop internal capabilities (build) or acquire external solutions (buy) — whichever creates the greatest value for this organisation, not the greatest lock-in.

Build

Internal capabilities

  • Strategic intellectual property

    Develop valuable internal assets the organisation owns outright.

  • Custom AI agents

    Design and develop AI agents for functions where nothing off the shelf fits.

Buy

External solutions

  • Trusted technology providers

    Purchase from reliable external partners where the capability is commodity.

  • Enterprise platforms

    Integrate best-in-class external platforms rather than rebuilding them.

Programme decisions

  1. 01Define built and purchased requirements
  2. 02Define custom AI development paths
  3. 03Define platform integration needs
  4. 04Define the ownership and maintenance strategy

Long-term impact and maintenance

The programme defines a long-term ownership and maintenance strategy, so no decision quietly becomes someone else's dependency.

Final strategic value

Ensures organisational flexibility and protects valuable operational knowledge inside the enterprise.

03Flagship service

AI Operations Systems

We design and build AI systems that transform how critical functions operate.

This may include commercial operations, sales, dispatch, logistics, customer service, knowledge work, management reporting, compliance, or internal workflow coordination.

Typical components

  • Contact and company enrichment
  • AI research and intelligence systems
  • Intent and demand-signal monitoring
  • AI-driven, multi-channel outreach
  • AI voice agents
  • Tender and opportunity tracking
  • Workflow orchestration
  • Operational dashboards
  • Decision-support and control systems

04Flagship service

Capability Building & Function Handover

We make AI capability internal — not permanently outsourced.

MagnaQore helps clients build the people, governance, systems, routines, and documentation required to operate AI independently.

What we deliver

  • Board and executive AI literacy
  • Team and operator enablement
  • AI governance playbooks
  • Internal AI/Transformation function design
  • Operating procedures and system documentation
  • Change management and adoption support
  • Staged handover and capability transfer
  • Continuous-evolution cadence
Phase two — build the enterprise AI Center of Excellence: Following the assessment, establish the function that leads the transformation.

Phase two — build the enterprise AI Center of Excellence

Following the assessment, establish the function that leads the transformation.

Nine standing responsibilities. The function that keeps the transformation alive after the consultants leave.

  1. 01

    AI strategy

    • Define vision and mission
    • Technology and strategy alignment
    • Optimise function
    • Idea generation
  2. 02

    Enterprise AI governance

    • Establish governance guidelines
    • Define governance pillars
    • Legal and ethical compliance
  3. 03

    AI project portfolio management

    • Comprehensive checklists
    • Interconnected AI projects
    • Performance dashboards and charts
  4. 04

    Business process redesign

    • Map new business processes
    • Identify workflow changes
    • Process step optimisation
  5. 05

    AI architecture and standards

    • System architecture blueprints
    • Interlinked AI modules
    • Defined structural frameworks
  6. 06

    Internal capability development

    • Assess skill gaps
    • Build cross-functional teams
    • Establish an innovation lab
    • Develop internal AI experts
  7. 07

    AI security and compliance

    • Access controls
    • Develop compliance policies
    • Regulatory compliance frameworks
  8. 08

    AI training and adoption

    • Employee onboarding
    • Digital learning modules
    • Foster team collaboration
  9. 09

    Performance measurement and ROI tracking

    • Real-time performance dashboards
    • Analyse performance data
    • Maximise ROI and profit

Contact

Ready to move beyond AI experimentation?

Build the leadership, operating model, governance, and internal capability required to become an AI-native organization. Start with an Enterprise AI Transformation Assessment.

We work with boards, CEOs, CIOs, transformation leaders, and operating teams that are ready to move from fragmented AI activity to a durable enterprise capability.