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Activate BrandingProposal
01 / 19
01
Partnership Proposal

The future of
merchandise buying

A phased proposal for internal enablement, AI-assisted workflow improvement, and a future standalone platform business.

Activate Branding·Tom Chute·2026
Activate Branding × AI Buying Platform
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Act I · FoundationSummary
02 / 19
Executive Summary

Build, test, and create value from the start.

Activate Branding has an opportunity to improve how bespoke merchandise work gets sold, scoped, checked, and delivered.

The recommended path is simple: build the operational tooling inside Activate first, test it through real work, then grow the proven system into a platform.
What this creates now
More structured supplier knowledge, faster RFP and client response workflows, smoother proofing and approvals, better consistency across the team.
What this creates later
A validated product foundation, real customer learning, a route into a standalone platform business, a stronger in-house tool for Activate.
Act I · Foundation — Executive Summary
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Act I · ContextProblem
03 / 19
Why This Matters Now

The work is still too manual.

Bespoke merchandise buying still relies on specialist knowledge, messy supplier data, manual checking, and back-and-forth communication.

Supplier data is
hard to use
Product details, lead times, decoration rules, and proof constraints are often fragmented or inconsistent.
Clients want
smoother journeys
People expect buying experiences that feel clear, guided, and personalised.
AI can now help
with real work
Used carefully, AI can support product matching, proof checks, RFP drafting, and internal decision-making.

All businesses are modifying using AI — Activate has the opportunity to cut through the hype and deliver tangible, valuable enhancements that actually work.

Act I · Context — Why This Matters Now
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Act II · VisionDirection
04 / 19
02
Act II

A better way to choose,
check, and approve.

The long-term vision is a premium AI-enabled buying room for bespoke merchandise procurement — calm, precise, and reassuring.

Act II · Vision
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Act II · VisionExperience
05 / 19
Vision

Specialists in the loop. AI in the workflow.

Clients should feel looked after by specialists who understand the creative, commercial, and production realities behind each recommendation.

AI agent user ready

The product should work for both human users and AI-assisted buying agents — helping protect Activate from future shifts in how businesses buy merchandise.

Guided product choice
The user starts with the right options, not an overwhelming catalogue.
Supplier-backed confidence
Recommendations are shaped by lead times, decoration rules, artwork constraints, and real operational knowledge.
Human oversight stays visible
AI helps the work move faster, but expert judgement remains part of the experience.
Act II · Vision — A Better Way to Choose, Check, Approve
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Act II · PrinciplesDesign
06 / 19
Product Principles

Make the process clearer
without making it feel automated.

Experience Principles
  • Guided over catalogue-first
  • Confidence before speed
  • Human expertise remains visible
  • AI supports decisions rather than replacing relationships
Core Workflow Direction
  • Buying room experiences
  • Guided customization flows
  • Artwork validation
  • Internal review queues
  • Client approval journeys

The product should make complex decisions feel simpler, while keeping the care and expertise clients already value from Activate.

Act II · Product Principles
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Act III · PositioningStrategy
07 / 19
Strategic Positioning

Use AI where it helps. Build product where it matters.

AI can already speed up a huge amount of work: research, mockups, content, data structuring, workflow ideas, integrations, and first-pass automation.

That is powerful. It means more people can move from idea to prototype quickly. But useful internal tools and client-facing products need more than a clever prompt or a good demo.
What real products need
Product judgement, technical structure, security thinking, UX detail, data design.
And a clear sense of
Where the system should help, where it should stop, and where a human needs to stay involved.
Act III · Strategic Positioning
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Act III · CapabilityDelivery
08 / 19
AI Capability vs Product Delivery

AI massively increases pace.
Product leadership makes it reliable.

Before AI
  • Large engineering teams
  • Heavy planning and delivery overhead
  • Long feedback loops
  • Manual reporting and status tracking
  • High delivery cost, slow iteration cycles
  • More room for human error across the process
AI-Powered Product Delivery
  • Smaller, higher-leverage teams
  • Faster prototyping and implementation
  • Reporting and transparency built into workflows
  • More time spent on product thinking, UX, and decision-making
  • Minimal engineering layer around repeatable workflows
  • Product managers and consultants become significantly more effective

AI changes the speed and scale of delivery. Senior product and technical leadership makes sure the systems are secure, operationally sound, and ready for real business use.

Act III · AI Capability vs Product Delivery
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Act III · OwnershipPlatform
09 / 19
AI Tools vs Owned Platform

Build something we own.
Don't just wrap existing tools.

Using Existing AI Tools
  • Quick to experiment with
  • Useful for internal productivity
  • Good for testing ideas and workflows
  • Often dependent on third-party interfaces and limitations
  • Harder to create long-term defensibility from alone
Building Owned Platform Capability
  • Create enterprise-grade internal tooling and workflows
  • Own the customer experience and operational logic
  • Build structured supplier intelligence over time
  • Create reusable product infrastructure rather than temporary wrappers
  • Develop long-term operational and commercial IP

Long-term value comes from building owned operational platforms around AI, not relying on temporary wrappers and third-party tooling.

Act III · AI Tools vs Owned Platform
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Act III · StrategyImplementation
10 / 19
Dual Implementation Strategy

The internal tool and future
platform should improve each other.

Make the tool useful inside Activate first, then turn the proven workflows into a wider platform.

01
Internal Enablement
Use the system inside Activate to improve RFPs, proofing, supplier knowledge, and consultant workflow.
02
Client Workspaces
Open controlled buying rooms, proof approvals, and customization flows to selected clients.
03
Platform Company
Externalise what works into a standalone platform business once the workflows are proven.

Real client work shapes the platform, and platform development feeds back into better internal workflows.

Act III · Dual Implementation Strategy
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Act IV · FoundationWhy Activate
11 / 19
Why Activate Is the Right Place to Start

Activate has the right problems to build from.

Activate already has the supplier relationships, client context, and operational complexity needed to build something useful.

There is a wider opportunity here: positioning Activate as an AI-enabled business that is genuinely modernising how it works, markets itself, and delivers for clients.
What Activate brings
Live briefs and real deadlines, supplier relationships, experienced consultants, existing client trust.
Why that matters
The product is shaped by reality, feedback loops are faster, operational value appears earlier, the platform starts with credibility.
Act IV · Why Activate Is the Right Place to Start
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Act IV · PartnershipStructure
12 / 19
Partnership Structure

Both sides bring something
specific to the table.

Activate Contributes
  • Industry expertise
  • Supplier relationships
  • Client environments
  • Operational validation
Tom Contributes
  • Product strategy
  • AI workflow architecture
  • Technical implementation leadership
  • Delivery and rollout management

The shared outcome is a platform business shaped by real operational use, live client work, and practical day-to-day learning.

Act IV · Partnership Structure
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Act IV · CommercialStructure
13 / 19
Commercial Structure

Cover today's work, and tomorrow's upside.

Two separate streams of value are being created here — a lot is delivered before we even get to the platform side of the business.

Immediate enablement
£400 per day

My standard senior product / AI consultancy rate is £800-£900 / day including some engineering team time. Given the future platform component and mates rates, I propose Activate covers 4 days a month at 50%.

In reality, I'll likely sail past those hours — but it's a sensible baseline that gives this the diary space to be a priority strategic project.

Review at three months. Ideally by then we are close to launching the platform business, and my role inside Activate naturally shifts into lighter oversight.

Future platform company
Shared ownership & upside

The standalone platform is a separate long-term outcome, with shared ownership and shared upside once the product is ready to operate beyond Activate.

The retainer can be adjusted to reflect the future equity arrangement, while still recognising the value of the work being delivered now.

Act IV · Commercial Structure
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Act V · DeliveryRoadmap
14 / 19
Delivery Roadmap

Build, test, learn, release.

Phase One · Foundation
Wk 1–2
Discovery
Map workflows, audit supplier data, define user journeys, test the most important assumptions.
Wk 3–4
Initial MVP
Buying room foundation, supplier ingestion, proof workflows, internal test paths.
Wk 5
Security
Backend architecture, permissions, security, and penetration testing requirements.
Wk 6–7
Branding & GTM
Positioning, messaging, onboarding, and launch materials.
Phase Two · Rollout & Scale
Wk 8–11
Internal Rollout
Onboard staff, embed workflows, collect feedback, refine processes.
Wk 12–15
V1 Production
Deploy first production version, harden workflows, analytics, reliability.
Wk 16–17
Soft Launch
Bring selected clients into controlled workflows, monitor usage closely.
Monthly
Ongoing Iteration
Improve workflows, refine AI, enrich supplier intelligence, respond to needs.
Act V · Delivery Roadmap
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Act V · DeliveryModel
15 / 19
Delivery Model

Collaboration with the Activate team.

To spread the load, and ensure knowledge is built within the Activate team, I'll work closely with Ruth and other members of the team.

The focus is on learning quickly, improving real workflows, and keeping momentum high — all within proper, enterprise-ready product delivery systems.
Why this works
Fast feedback loops, less handover friction, closer operational understanding, direct testing against real workflows.
What it avoids
Heavy process, slow agency-style delivery, overbuilding too early, product decisions made away from the work.
Act V · Delivery Model
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Act V · DeliveryRisk
16 / 19
Risks & Mitigation

Name the risks early, then design around them.

AI means we can move fast — but we should aim to be the best on the market, not just the first.

Supplier data quality
Start with structured ingestion, then progressively enrich and clean supplier information.
Workflow adoption
Roll out internally before opening up wider client access.
Scope expansion
Keep a tight MVP and make trade-offs visible as the product evolves.
AI reliability
Use human-in-the-loop checks where decisions affect production, pricing, or proof confidence.
Act V · Risks & Mitigation
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Act VI · OutcomeImpact
17 / 19
Strategic Outcome

AI-powered Activate now.
Proven platform next.

For Activate
  • Faster operational delivery
  • AI-assisted workflows
  • Better use of supplier knowledge
  • A more premium client experience
For the Platform
  • Validated workflows
  • Live operational proof
  • Real customer behaviour
  • A clearer path to scale

The aim is to build a platform business from real operational value and proven client workflows — rather than speculative software ideas.

Act VI · Strategic Outcome
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Act VI · Next StepsAction
18 / 19
Next Steps

Agree the structure, then start the work.

Start by solving real operational problems inside Activate. Use those learnings to build something genuinely valuable, commercially proven, and ready to scale.
What to agree first
  1. Partnership principles
  2. Commercial retainer structure
  3. MVP scope and success criteria
  4. Internal support and ways of working
Act VI · Next Steps
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Act VI · Closing
19 / 19
Fin
Closing
We'll succeed where
99% of AI projects will fail.

The product gets better because the work is real, the feedback is live, and the platform remains closely connected to the business it first improves.

Activate's AI-Powered Future×Tom Chute
Act VI · Closing
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