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AI Enterprise


Most companies pay for Claude or ChatGPT, but their AI lives in browser tabs — disconnected from their real systems, used by three power users instead of thirty. We change that by deploying Claude as production infrastructure: connected to your stack, trained on your business logic, and adopted across your team.

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Why most AI implementations stall

Three patterns we see repeatedly when we talk to teams that "already paid for AI":

Personal chat trap. Your team uses Claude in personal accounts. Each query starts from zero context. Your business logic — how you analyze velocity, qualify leads, handle exceptions — lives in three senior people's heads, not in the AI.

No system access. The AI doesn't know what's actually happening in your ERP, CRM, or internal tools. Every answer is based on what someone manually pasted. Real-time decisions become best-effort guesses.

Three users, not thirty. The CTO uses it. The VP of Ops uses it. One curious analyst uses it. The other 27 people who could create the most value never adopt because nobody set up permissions, training, or governance.

When companies tell us "we tried AI, it didn't move the needle" — this is almost always why. 



The three layers we build, togetherLayer 1 — MCP ServerLayer 2 — Enterprise SkillsLayer 3 — Organizational Adoption

The three layers we build, together

Each layer matters. Skip one, and the implementation fails. 

Layer 1 — MCP Server

The plumbing that connects Claude to your real systems.

We build production-grade MCP servers following Anthropic's open protocol. Your team accesses them from Claude.ai web or mobile — not just from developer tools. Claude reads from your ERP, CRM, e-commerce platforms, and internal databases in real time. Decisions get made on live data, not on what someone exported last week. 

Layer 2 — Enterprise Skills

Your business logic, packaged for reuse.

We codify how your company makes decisions — velocity analysis, deal qualification, reconciliation flows, monthly reporting — into reusable Claude skills. Your senior people's expertise becomes invokable by anyone on the team with a single prompt. No more bottlenecks waiting for the one person who knows how to read the report.

Layer 3 — Organizational Adoption

AI as a company capability, not a personal tool.

We design role-based permissions, recurring training, and governance for AI use across your organization. Three power users become thirty productive ones. The CFO can ask questions without needing the IT team to translate. Your investment in AI starts compounding instead of plateauing.


What working with us actually looks like

Anthropic subscriptions and API consumption are paid by you directly to Anthropic. No markup, no surprise invoices.

Discovery Sprint (2 weeks, $4,500 USD)

We assess your stack, identify where Claude will move the needle most, and design the MCP architecture. You leave with a technical proposal and ROI estimate. If you don't see the value, we don't continue.

Full Implementation (6–12 weeks, $20K–$40K USD)

All three layers in production. MCP servers, custom skills, adoption rollout, governance setup. Fixed scope, fixed price.

Adoption Retainer (ongoing, $3K–$6K/month)

Once you're live, we build new skills as your team finds new use cases, train new users, and evolve the architecture as your business changes.


Who this is for

AI Enterprise is built for B2B companies with:

50+ employees, an existing ERP or CRM, and operational complexity

Existing AI spend that's not producing measurable ROI

A decision-maker (CTO, COO, CFO, or founder) ready to invest in production infrastructure, not another POC

Multi-channel commerce, manufacturing, distribution, or cross-border operations

It's not for: companies looking for a customer-service chatbot, single-person operations, or teams that haven't tried AI internally yet. If that's you, start with a Claude Team subscription for 90 days and come back.

Ready to make Claude actually useful inside your business?

Start with a Discovery Sprint. Two weeks, $4,500, fixed price. You'll leave with concrete architecture, an ROI estimate, and a clear decision on whether to continue — with us or anyone else.

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