Five focused engagements with Sean Everett. Assess and build an adaptable enterprise, evaluate an acquisition target, build an AI-native product, adapt a model to a repeated business task, or establish AI direction and delivery while selecting a permanent leader. Each brief defines the scope, outputs, client inputs and limits.
01LEGACY & AI-NATIVE BUSINESSES
Autonomous Enterprise
What it is
One engagement to assess your business and implement agreed AI capabilities.
Who it is for
Founders and enterprise leaders adapting a legacy or AI-native business.
Investment required
Scope-based fees and timing agreed in a proposal. An accountable sponsor, representative users and approved access are needed for assessment, validation and handover.
Transformation
Move from disconnected workflows and unclear priorities to an agreed operating plan, implemented capabilities and accountable ownership.
Intended benefit
Better-supported decisions and more useful workflows, with a foundation for defensible, profitable growth. Commercial improvement must be measured.
A product, AI and technology assessment of one acquisition target.
Who it is for
Investors, acquisition teams and corporate development leaders with a defined target.
Investment required
Scope-based fees and timing agreed in a proposal. A deal sponsor, decision date and authorized management and technical evidence are needed. Implementation is separate.
Transformation
Turn product claims and technical evidence into an executive assessment of risks, opportunities, unanswered questions and priorities after acquisition.
Intended benefit
A clearer investment discussion and better-focused further diligence. The assessment does not guarantee a transaction decision or business return.
AI-native product development from discovery and strategy through the agreed build and evaluation stage.
Who it is for
Founders and product teams building a product or capability around real user needs.
Investment required
Scope-based fees and timing agreed in a proposal. A product owner, representative users, approved data and system access, and participation in validation are needed.
Transformation
Move from a product opportunity to a tested prototype and agreed implementation, with evaluation criteria, documented limits and handover.
Intended benefit
A useful AI-native experience and evidence for the next release decision. Adoption and business impact must be validated in use.
A scoped engagement to fine-tune, evaluate and deploy a model for one valuable, repeated business task.
Who it is for
Business owners and teams with a defined outcome, authorized examples and an accountable owner.
Investment required
Scope-based fees and timing agreed in a proposal. Authorized training and test data, agreed compute access and owner participation in evaluation are needed.
Transformation
Turn business examples into a licensed model adapted to the task, tested against a baseline and prepared for the agreed local or cloud deployment.
Intended benefit
Evidence of how well the model supports the selected task, including quality, speed and business usefulness. Performance and financial gains must be measured.
Assessment and build are phases of one enterprise engagement. Build scope follows assessment; prototype, pilot or production requirements are agreed explicitly.
Discuss the decision first.
Email a nonconfidential overview of the business or target, owner and available evidence. Scope, fees and timing are agreed in a proposal.
