Strategic AI Enablement Proposal — iMedia × DayDreamers

Strategic Context

A Distinctive Commercial Position

iMedia controls advertising inventory across UK service stations and is building toward a more data-led market position. That gives iMedia the opportunity to sell not only media inventory, but a sharper understanding of audience behavior, timing, context, and commercial relevance.

If the underlying inputs can be translated into credible commercial intelligence, iMedia can improve the quality of its sales narrative, planning conversations, and comparative positioning in market.

ANPR-based movement and audience data
Transaction-level purchase behavior
Dwell-time and visit-pattern analytics
Historical planning and seasonal trend data
Emerging EV-related data streams with future strategic value

Current Constraint

Moving Beyond Manual Interpretation

The opportunity is clear, but the present workflow remains too dependent on manual interpretation and prompt-level expertise. For AI-assisted insight generation to support leadership decision-making and client-facing use, several issues need to be addressed.

R

Reliability

Outputs need to be generated through a process that allows teams to understand the basis of a conclusion and defend it commercially.

W

Workflow Discipline

A prompt sequence is not yet the same as an operating model. The workflow needs clearer structure, checkpoints, and review logic.

S

Scalability

The capability should become transferable across the organization rather than reliant on one individual's fluency with the tool.

C

Commercial Readiness

Outputs must be suitable for business use: concise, relevant, and shaped for sales and planning conversations rather than exploratory experimentation.

G

Governance

Sensitive commercial and behavioral data requires clear handling standards, including what enters the workflow, how outputs are reviewed, and where risk should be controlled.

Phase I

Strategic AI Enablement Sprint

This engagement is designed to help iMedia move from exploratory AI usage toward a more structured internal capability for commercial insight generation.

I

Discovery and Assessment

Review the current workflow, including prompt structures, sample outputs, and usage patterns
Identify the highest-value commercial use cases for Phase I focus
Assess current reliability, review, and governance gaps
Surface implications for future CRM or internal-tool integration where relevant

II

Workflow Architecture and Hardening

Define a recommended end-to-end workflow from data input to final insight output
Introduce clearer structure for analysis, validation, and review
Distinguish more explicitly between factual input, analytical interpretation, and client-facing narrative
Establish a practical approach to source checking and claim support where external context is involved

III

Pilot Outputs and Internal Enablement

Produce 2-3 pilot outputs using approved iMedia examples
Create reusable templates and operating materials for the internal team
Run working sessions with relevant stakeholders to test and refine the process
Provide a recommendation for what a subsequent implementation phase should include

Deliverables

What iMedia Receives

Workflow Assessment

A concise assessment of the current process, including strengths, weaknesses, and priority areas for improvement.

Priority Use-Case Definition

A recommendation on the most valuable AI-enabled insight workflows to formalize first.

Structured Workflow Design

A documented operating model for converting approved data inputs into more reliable commercial outputs.

Prompt and Operating Templates

Reusable templates for analysis, validation, and final narrative generation.

Data Packaging Guidance

A practical framework for how datasets and supporting context should be prepared before entering the workflow.

Review and Validation Checklist

A lightweight framework for checking output quality, claim support, and workflow consistency.

Pilot Insight Outputs

Two to three client-ready example outputs developed against approved iMedia scenarios.

Handover Materials

A working session and supporting materials intended to allow the internal team to continue using the process after the engagement.

Phase II Recommendation

A scoped recommendation covering possible next steps in tooling, rollout, and systems integration.

Expected Value

What This Enables

By the end of this engagement, iMedia should be better positioned to:

Generate commercial insight through a more consistent and defensible process
Improve confidence in the quality and traceability of AI-assisted output
Reduce dependence on one individual's prompt expertise
Equip the sales organization with stronger material for client-facing conversations
Make a more informed decision about whether to proceed into implementation

Potential Phase II

Implementation & Internal Tooling

If Phase I proves successful, a second phase can be scoped separately. Phase II is not included in the current $20,000 scope and would be proposed following completion of Phase I.

Internal Insight Dashboard

Secure web-based interface for the sales and research teams.

AI Sales Assistant

AI assistant purpose-built for sales and research workflows.

CRM Integration

Salesforce or CRM integration for pipeline-aware insight generation.

Meeting Intelligence

Transcript-to-insight workflows for commercial meetings.

Why DayDreamers

Practical AI Adoption

DayDreamers supports organizations that want to move beyond informal AI experimentation toward practical internal adoption. The work combines strategic framing, workflow design, and hands-on enablement so that the output is operational rather than merely conceptual.

AI enablement for non-technical and cross-functional teams
Workflow design and operationalization
Training tied to real internal use cases rather than abstract capability-building
Practical translation of emerging AI tools into repeatable business processes

Stanford University

Graduate-level research context and proximity to current AI tooling

Microsoft Research

Technical foundations and experience translating research into applied systems

MLH Top 50

Recognized builder and operator across technical communities

Anthropic / Claude Fluency

Direct experience with the tool already being explored within iMedia

Selected institutions and teams

Chanel

Okta

GoodNotes

Stanford GSB

Johns Hopkins

HK PolyU

Selected Experience

Representative Engagements

Corporate AI Training

Designed and delivered tailored internal AI engagements focused on practical adoption, workflow integration, and hands-on application rather than abstract tool familiarization.

Energy-Sector AI Enablement

Supported an energy-sector client on internal AI activation work spanning demonstration, facilitation, sales-adjacent workflow design, and implementation support.

Enterprise Team Upskilling

Led larger internal-team enablement efforts designed to move employees from curiosity to credible day-to-day AI usage inside real business contexts.

Innovation and Curriculum Design

Built structured workshop and program materials around AI tool fluency, applied product thinking, and rapid execution in technical and educational settings.

Investment

Pricing Summary

Phase	Scope	Duration	Investment
Phase I	Strategic AI Enablement Sprint	4 weeks	$20,000
Phase II	Implementation & Internal Tooling	TBD	Scoped separately

50%

On kickoff

50%

On completion

Getting Started

Next Steps

Confirm interest in the Phase I engagement
Share approved examples, such as anonymized outputs, workflow samples, or selected data slices for scoping
Confirm the stakeholder group for discovery and working sessions
Align on a preferred kickoff date

Strategic AIEnablement