Service Packages

Whether you need a thought partner to navigate complex changes, someone to offload strategy & transformation work while you run the day-to-day business, an experienced leader to plug in gaps and add new perspectives, or a trusted leader to drive programs and/or lead specific business units amidst complex changes, we offer simple packages.

Alternatively, we are open to negotiating traditional, SOW-based consulting deliverables on a time-and-materials basis.

Strategic Advisor

Advisory services, strategy sessions, coaching, and ad-hoc transformation & strategy support

Exclusions and Limitations:

  • No line-leading internal staff

  • Limited analyses and report outs

Fractional Executive

Strategic input, leadership cadence calls, and operational oversight including leading 1-3 direct reports

Exclusions and Limitations:

  • Line-leading internal function full-time

  • No end-to-end consulting deliverables

Embedded Executive

Comprehensive leadership of a transformation program, program office or single initiative team including team management, full CXO-level engagement, and report outs

Exclusions and Limitations:

  • Full consulting-type SOW deliverables negotiated on a case basis

Typical advisory deliverables shown below

Can be negotiated on an SOW basis for custom delivery or included in the target setting for larger service package plans

  • Cogs around a center circle, representing the parts which make up a enterprise transformation

    Enterprise Transformation

    Bespoke advisory and support for complex change programs across BUs:

    Design, launch, or renovate a Transformation Management Office (TMO) or similar control tower (BTO, IMO, ePMO) to maximize value

    CTO (Transformation) advisory, role fulfillment, or comprehensive program leadership

    North Star vision & roadmaps

    Envision, prioritize and determine funding for transformation agenda fitting strategy

    Optimize value capture processes and enablement, resolving complex attributions

    Talent management for external and seconded internal staff pulled into program roles

    Enterprise change management for broad-based programs (e.g. pulse surveys, action plans)

    Forming a “VC capability” in the control tower to allocate and manage funding dynamically for initiatives, moving money to maximize ROI

    Top-down enterprise communications strategy

    Initiative (program, project or product) leadership, governance and steering

    Envision, prioritize, launch and start / pause / stop / redefine strategic initiatives

  • A technology leader peering into a modern cityscape

    Technology Leadership

    Supporting leading CIOs, CTOs (Technology) and CDOs (Digital) through optimizations, modernizations, and M&A cycles:

    Design, implement or turnaround operating model changes for technology organizations

    Set North Star / future to-be vision, strategy & roadmap

    Tech CxO advisory or fractional role provision (e.g. VP of Strategy & Transformation)

    Help manage Legacy, reduce down Technical debt and reinvest in modern Digital ecosystems

    Targeted advice around two-speed IT, i.e. managing slower moving Platforms vs. Products

    Cost reduction through sourcing, contract optimization, demand management, shadow IT reduction, and organizational reconfigurations

    Near- on- and offshoring optimization (right-shoring) including captive & BOT models

    Strategic supplier consolidations & contract optimizations for key partnerships

    IT Program leadership, governance, and steering

    Product portfolio & system / app rationalization

    Technology DD (due diligence) pre-acquisition

    Tech PMI / synergy target setting and value capture. Day One readiness

  • Schematic showing interconnected electronic components, representing conceptually a data ecosystem

    Data Foundations and Ecosystem

    Enabling companies to become more data- and AI-driven. CDO (data) and CAO (analytics) exec support:

    Design or improve data governance and quality programs for enterprise data stores

    Optimize partnerships / suppliers and their costs via contract evaluations, negotiation strategies

    Improve governance and reduce Shadow purchasing of data products, solutions, or services related to data management, analytics, or ML/AI

    Streamline ecosystems and data store sprawl via targeted recommendations

    Instilling an enterprise culture around becoming more data-centric and using business-led data stewardship

    Assessing and improving readiness and ability to leverage GenAI / LLM's in a scalable way

    Use case evaluation, prioritization and roadmapping for traditional and generative AI pilots and production rollouts

    Governance model for AI/ML model usage