AI Strategy

You don’t need more technology. You need a digital strategy that knows where it’s going.

We assess your AI maturity, map opportunities across your B2C, B2B or D2C operation and design an implementation roadmap that justifies every dollar invested. With data, not slides.

Digital strategy B2C B2B D2C Implementation Roadmap

The Problem

The problem isn’t the technology. It’s knowing where to start.

AI Strategy exists to solve exactly that. We don’t start by implementing — we start by giving you clarity.

01

You want to bring AI into your digital commerce, but you lack clarity on which use cases drive the most impact.

02

Your platform needs migration, but you don’t know whether to move to MACH, headless or composable architecture.

03

Your team wants optimization, but there’s no roadmap linking the technology to business KPIs.

We don’t sell implementation first. We sell clarity.

Who it’s for

Your model. Your challenge. Your roadmap.

B2C

B2C Commerce

You already have a platform

Your store sells, but it has plateaued

Conversion has plateaued. You need to know whether AI can move the needle on personalization, search or pricing — and what it costs to do it right. We assess your stack and design the optimization plan.

B2B

B2B Commerce

First implementation

Your customers want to buy online

Online quoting, reordering without a phone call, real-time inventory. You need a B2B digital strategy that defines which platform to build, with which architecture and in what order. We give you the blueprint.

D2C

Direct to consumer

Launch your own channel

You want your own channel

You depend on marketplaces or retail and want your own channel. We design the D2C implementation strategy: which technology, how to migrate your catalog, how to acquire customers and where to put AI from day one.

Three ways to start

Three ways to start. You choose the depth.

AI Readiness Check
Free
2 min · no email
Key deliverableInstant maturity score

3 questions. Your first read on how ready your B2C, B2B or D2C operation is to integrate artificial intelligence. No commitment.

Take the test
Core product AI Readiness Assessment
Tailored investment
4–6 weeks
Key deliverableRoadmap + business case

Deep diagnosis: we assess 5 maturity dimensions, prioritize use cases by impact and deliver an implementation roadmap with investment and ROI estimates. The deliverable is yours.

Get started
AI Strategy + PoC
Tailored investment
8–12 weeks
Key deliverableRoadmap + working PoC on real data

Everything in the Assessment + a working proof of concept of use case #1 on your real data. You see AI operating before you commit. Includes executive workshops, technical architecture and a business case for your board.

Schedule

Edgebound Lab

How ready is your commerce for AI?

Three questions. A data-driven diagnosis. We tell you where to start.

AI Readiness Check
Question 01 / 03

Where does your commerce platform live today?

Question 02 / 03

How present is AI in your operation?

Question 03 / 03

What is your priority for the next 6 months?

0AI READINESS

No email. Instant result.

The 5 dimensions

We assess 5 dimensions. Nothing is assumed.

Our framework evaluates your organization across the 5 areas that determine whether an AI implementation will generate ROI — or become a pilot that dies in staging.

Sample view of the maturity report

Process

From first call to roadmap in 6 weeks.

Week 1 — Intake

We understand your business

A 30-minute call to understand your stack, your digital strategy goals and whether you are B2C, B2B or D2C. We define the scope.

Weeks 2–3 — Diagnosis

We audit and interview

Interviews with 3–5 stakeholders. Data and infrastructure audit. Assessment of the 5 dimensions. Identification of optimization quick wins.

Week 4 — Roadmap

We prioritize by impact

We prioritize use cases by impact vs. effort. We design the 6–12 month implementation plan with phases, estimated investment and projected ROI per phase.

Weeks 5–6 — Executive delivery

We present to leadership

Presentation to the leadership team with recommendations, proposed architecture and a clear decision on the next step: migration, new implementation or optimization of the current stack.

Weeks 7–12 — Strategy + PoC

We build the PoC on real data

Only in the Strategy + PoC package: PoC build (wks 7–10), results validation (wk 11) and presentation of the business case with real metrics to the board (wk 12).

Deliverables

What you get. No fine print.

Deliverable
AssessmentCustom investment based on scope and number of business units
Strategy + PoCCustom investment — includes a working PoC on real data
AI Maturity Report (score × 5 dimensions)
Use-Case Map (impact vs. effort)
6–12 month roadmap with phases and milestones
Investment estimate with projected ROI
Executive deck for leadership / board
Proposed technical architecture
Working PoC on real client data
2 executive workshops (discovery + results)
Business case with real PoC metrics
Go-to-production plan with timeline and team

Every engagement is designed to measure. Book a 30-minute call to receive a proposal with detailed scope and investment.

Social Proof

Strategy that turned into results.

We assessed the AI maturity of 5 business units at a Fortune 500 manufacturer, identified 3 validated use cases and delivered a roadmap the executive team used to secure $2M+ in investment. From assessment to board approval in 6 weeks.

0
Validated use cases
0wks
Assessment duration
$0M+
Investment secured by the board

FAQ

What we get asked most.

How long does an AI Strategy Assessment with Edgebound take?

The AI Readiness Assessment takes 4–6 weeks. The AI Strategy + PoC package takes 8–12 weeks and includes a working proof of concept with the client’s real data.

What does Edgebound’s AI Readiness Assessment include?

It evaluates 5 dimensions: data maturity, infrastructure, team capability, use-case feasibility and organizational alignment. Deliverables: maturity report, use-case map by impact vs. effort, a 6–12 month roadmap, projected ROI, executive deck and technical architecture.

Who is Edgebound Labs’ AI Strategy for?

For B2C, B2B or D2C companies with active digital operations that want to implement AI but lack clarity on which use cases drive the most impact, which architecture to adopt, or how to tie technology to KPIs. We work with eCommerce directors, CTOs and CEOs.

Does my customer data leave my infrastructure with Edgebound?

No. Models are trained and run on the client’s own cloud infrastructure (AWS, Google Cloud or Azure). Edgebound Labs is ISO/IEC 27001:2022 certified, with an external audit validating information handling. PCI DSS compatible for payment integrations.

Your next step in digital commerce starts with a conversation.

Whether you need to implement your first B2B ecommerce, launch a D2C strategy, optimize your B2C platform or evaluate a migration to MACH architecture — we start with 30 minutes of architecture to understand where you are and design what comes next.

AI Readiness Check

No pitch decks. We start with a conversation about architecture, not a sales presentation.