How We Work

Four phases, refined across two decades of enterprise commerce work. Assessment → Proof of Value → Implementation → Enablement.

Process

A four-phase engagement model that takes technology and AI initiatives from assessment through production. Full team ownership or ongoing partnership, depending on what you need.

1

Assessment

We go deep on your stack, your data, and your business objectives to identify where AI will actually move the needle. And where it won't.

Length
3–6 weeks, fixed bid
Delivers
A prioritized AI opportunity roadmap, build-vs-buy evaluations, a data readiness review, and honest vendor assessments with realistic timelines.
2

Proof of Value

We validate the highest-impact opportunities with focused, working prototypes. Tested against your real data and real constraints.

Length
2–4 weeks, scoped per opportunity
Delivers
A working prototype wired to your systems (M365, Dynamics, Salesforce, SharePoint) or real data samples, with guardrails and audit logging from day one. Output is a go/no-go decision, not a pilot demo.
3

Implementation

We design and build commerce platforms and AI-integrated systems that actually ship. Production-hardened architecture from composable storefronts to AI agent infrastructure.

Length
4–8 weeks per integration, fixed bid
Delivers
Production MCP servers, system connectors, OAuth 2.0 On-Behalf-Of flows, Entra ID app registrations, audit logging, and deploy config — running in your tenant, under your control.
4

Enablement

We set your teams up to own what we built. Training, documentation, pair programming, architecture reviews. Or we stay on as a long-term technical partner. Your call.

Length
Retainer or capped T&M, runs alongside or after implementation
Delivers
Pair programming, architecture reviews, practical documentation, prompt-engineering training, and the review processes that catch AI-generated mistakes before production.

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