Engineer-Led AI Implementation

Claude Implementation: Put Claude to Work Inside Your Business

Buying a Claude subscription is the easy part. Getting real work through it is where teams stall. Our Claude implementation services cover the whole path: Claude Code rollout for your engineering team, custom MCP servers that connect Claude to your internal systems, workspace and governance setup, custom agents, and training for the people who will actually use it.

Built by a staff-level engineer with 10+ years in production software — not resold, not outsourced.

Engineer-Led
Built, Not Resold
|
MCP
Running in Production
|
CA & US
Remote Delivery
Claude
Claude
Claude Code, Projects, chat, agents
Custom MCP server
Scoped tools, API-key auth, audit trail
Your systems
Databases, internal APIs, SaaS, docs

What Is Claude Implementation?

Claude implementation is the work of turning Anthropic's Claude from a subscription your team has access to into a system your business actually runs on. That means connecting Claude to your real data and tools, giving your engineers a workflow they trust, configuring workspaces and access properly, and making sure the people using it know how. A Claude AI consultant handles the parts a licence alone does not: integration, architecture, governance, and adoption.

Connected, Not Copy-Pasted

Claude is far more useful when it can reach your actual systems. We build custom MCP servers so Claude queries your database, CRM, or internal API directly — with the tools and permissions scoped to what you want it to touch.

Built for How Your Team Works

Generic setups get abandoned. We configure Claude around your repositories, your review process, and your operational workflows, so the tooling matches how work already moves through your organization.

Adoption, Not Just Access

An implementation that nobody uses is a cost centre. We pair with your engineers, run enablement sessions for non-technical teams, and leave behind playbooks your organization owns.

What Our Claude Implementation Services Cover

Engagements are scoped to what you need. Most organizations start with one or two of these and expand once the first piece is delivering.

Claude Code Rollout

Get your development team genuinely productive with Claude Code. Repository context files, custom skills for recurring workflows, subagents for multi-step work, hooks that enforce your conventions automatically, and agreed team workflows for review and safety.

Custom MCP Servers

Connect Claude to your own systems through the Model Context Protocol. We design the tool surface, implement the server, handle authentication and access scoping, and deploy it. We build and operate production MCP servers today, including multi-tenant deployments with per-organization API keys.

Claude Enterprise & Team Setup

Workspace configuration, Projects structured around real teams and use cases, access and permission models, and the governance conventions that keep an organization-wide rollout from turning into a free-for-all.

Custom Agents & Automations

Internal tooling built on Claude: document and data workflows, agentic pipelines, review and triage assistants, and back-office automation. Designed as production software with error handling and observability, not as a demo.

Training & Enablement

Sessions for non-engineering staff on practical prompting and context practices, shared Projects and internal playbooks so good patterns spread, and documentation your team keeps. Tailored to the work your teams actually do.

Integration With Your Stack

We work heavily with n8n, webhooks, REST and GraphQL APIs, Node.js, and Next.js/TypeScript. Claude gets wired into the systems you already run — no rip-and-replace, no asking you to adopt a new platform to make the AI work.

Who Claude Implementation Is For

Three situations we see most often — and what the engagement usually looks like in each.

Engineering Teams

You have Claude Code licences but adoption is uneven — a couple of enthusiasts and everyone else unsure where it fits.

  • Shared context files and repository conventions
  • Custom skills, subagents, and hooks for your codebase
  • Pairing sessions and review workflows the team agrees on

Operations Teams

Repetitive document, data, and coordination work is eating hours, and the systems holding the data do not talk to each other.

  • MCP connectors to your CRM, database, and internal APIs
  • Agents for document, intake, and triage workflows
  • Automation wired through n8n and webhooks

Companies Evaluating AI

Leadership wants an AI strategy and a clear answer on what is realistic, what it costs, and what to do first.

  • Assessment of where Claude fits your workflows
  • Plan selection, workspace, and governance guidance
  • A scoped pilot with a defined success measure

Why Work With RAS AI on Claude

Most agencies moving into AI are packaging someone else's tooling. We build this software ourselves, in production, on the same protocols and platforms we would deploy for you.

  • Engineer-led delivery
    Your implementation is built by a staff-level software engineer with 10+ years of production experience — the same person who scopes it, not a handoff to a junior team.
  • We run MCP servers in production
    Not a slide deck. We build and operate multi-tenant MCP servers with per-organization API-key authentication, deployed and maintained today.
  • We work with your real stack
    n8n, webhooks, REST and GraphQL APIs, Node.js, Next.js and TypeScript, Stripe, Slack, and the internal systems you already depend on.
  • Production-grade, not prototype-grade
    Error handling, access scoping, and observability are part of the build, because these systems end up load-bearing faster than anyone expects.
  • Bilingual delivery
    Engagements run in English or Farsi, across Canada and the United States.

Connect Claude to the Tools You Already Use

MCP lets Claude reach any system that exposes an API or a database. These are common targets — if yours is not listed, it is almost certainly still connectable.

Slack
Slack
GitHub
GitHub
Notion
Notion
PostgreSQL
PostgreSQL
HubSpot
HubSpot
Linear
Linear
Jira
Jira
Stripe
Stripe
n8n
n8n
Google Drive
Google Drive
Gmail
Gmail
Your Internal API
Custom connector

Implementation Process

Four phases. Scope and timeline are confirmed in discovery, before any build begins.

1

Discovery & Assessment

We map how work actually moves through your teams, which systems hold the data, and where Claude realistically helps. You get a written scope and a plan recommendation — including when the honest answer is a smaller pilot.

2

Architecture & Pilot

We design the tool surface, access model, and integration points, then prove the approach on one workflow end to end before committing to a wider build.

3

Build & Integrate

MCP servers, agents, skills, and workspace configuration built and connected to your live systems, with error handling and access scoping in from the start.

4

Enablement & Iteration

Training sessions, playbooks handed over, and refinement based on how your team actually uses it once it is live. Ongoing support is available if you want it.

Pricing is quoted per engagement after discovery. .

Claude Implementation Frequently Asked Questions

Common questions about Claude implementation services, MCP server development, Claude Code rollout, and enterprise AI adoption.

Nima Eslamloo, founder of RAS AI

Founder — you talk to the builder, not a sales team

Who you're actually working with

I'm Nima Eslamloo, founder of RAS AI. For over ten years I've built and shipped production software at enterprise scale.

RAS AI is where I bring that same engineering rigor to businesses ready to put AI to work. Every system is built and tested under my direct supervision.

Nima Eslamloo

Founder, RAS AI

Connect on LinkedIn

Direct from the builder

You work with the person who designs and ships your system, end to end.

Production-grade by default

Built, tested, and monitored to the standard enterprise systems demand.

Built to scale

Architecture that grows with you, from your first automation onward.

Claude and Anthropic are trademarks of Anthropic PBC. RAS AI is an independent consultancy and is not affiliated with, endorsed by, or certified by Anthropic. Product names are used descriptively to identify the software we implement for our clients.

Ready to Get Claude Working for Your Team?

Tell us what your teams do and which systems hold the data. We'll tell you honestly where Claude helps, where it does not, and what a first engagement should cover.