Anthropic Claude Integration

INSTALL CLAUDE.
SHIP AI THAT WORKS.

UK-based Claude integration specialists. We build production AI agents, automation, and internal tools for enterprise teams on Anthropic's stack. First prototype in 2 weeks. You own the code.

Claude Sonnet 4.6 & Opus 4.7 in productionMCP, tool use, agentsZero data retention on enterprise
Since 2024

Claude API in Production

MCP · Tool Use · Evals

Stack Depth

2 to 8 weeks

Delivery

100% yours at launch

Ownership

The Problem

MOST AI PILOTS NEVER SHIP

Your team has tried ChatGPT. Maybe played with Claude. Maybe even built a prototype. It demos well, then stalls. Governance questions. Data concerns. Production hardening. Who owns the thing. Who updates the prompts. Who handles hallucinations.

That gap between “impressive demo” and “system running in production” is where 80% of enterprise AI initiatives die.

We close it. Specialised in Claude. Built for enterprise. Shipped with evals, guardrails, and an exit plan if you want to take it in-house.

Capabilities

FOUR WAYS
TO INSTALL CLAUDE

Not every business needs a full agent. Pick the entry point that matches your leverage. Most teams start with one, add others as they see the ROI.

AI AGENTS

Production agents, not prototypes.

Claude-powered agents that call tools, read your data, and take real action. Built with MCP, tool use, and structured output. Hardened with evals, guardrails, and observability.

Stack

Claude Sonnet 4.6Tool useMCP serversStructured output

AUTOMATION

Cut hours out of every workflow.

Document processing, ticket triage, research, customer comms, code review, internal reporting. If a human is reading and deciding, Claude can draft, classify, or decide first.

Stack

Claude APIPrompt cachingBatch processingWebhooks

INTERNAL TOOLS

AI-native dashboards for your team.

Build Claude into the systems your team already uses. Chat-first admin panels, AI-augmented CRMs, intelligent knowledge bases, data-aware dashboards. Next.js front-end, Claude back-end.

Stack

Next.jsSupabaseClaude APIVercel AI SDK

TEAM TRAINING

Make your team Claude-fluent.

Half-day and full-day workshops on prompt engineering, Claude Code, agentic workflows, MCP, and deployment. On-site or remote. Your team leaves shipping, not theorising.

Stack

Prompt engineeringClaude CodeMCP developmentAgent patterns
Process

FIRST PROTOTYPE IN 2 WEEKS

Five stages, fixed milestones. Evals and observability from day one. No handoff surprises.

01

AUDIT

We map your workflows, data, and tooling. Identify the 3 to 5 highest-leverage AI insertions. No boil-the-ocean roadmaps.

02

DESIGN

Architecture, prompts, guardrails, eval harnesses. You see the full build spec before we write a line of production code.

03

BUILD

Next.js and Claude API. Tool use, MCP integrations, prompt caching. Shipped behind a feature flag, instrumented from day one.

04

DEPLOY

Rolled out gradually. Evals running in CI. Observability wired to Sentry and your own dashboards. You own the code.

05

TRAIN

Your team gets hands-on with the system. Prompt libraries, runbooks, escalation paths. You are not dependent on us to keep it running.

Common Questions

BEFORE YOU ASK

Why Claude, not GPT?

Claude leads on reasoning, long context, and tool use. Anthropic has the strongest safety track record and enterprise-grade data handling. For production systems we trust, Claude wins.

Our data is sensitive. What about privacy?

Claude API calls are not used for training. Enterprise plans support zero data retention. We can deploy via Amazon Bedrock, Google Vertex, or direct API - whichever matches your compliance stack.

Will this replace our team?

No. It removes the 70% of work that is pattern-matching and drafting, so your team focuses on judgment and decisions. Teams ship more, not fewer, after a good AI install.

What if Claude gets it wrong?

Every production system ships with evals, guardrails, and human-in-the-loop on high-stakes actions. We never put an ungated agent in front of your customers or your money.

How long until we see value?

First working prototype in 2 weeks. First production deployment in 4 to 8 weeks. Measurable ROI typically within the first quarter.