You have real questions. We have straight answers — about deployments, timelines, security, pricing, and what actually separates a successful Claude rollout from a failed one.
We are a specialist Anthropic Claude consulting, implementation, and training firm. We do one thing: help enterprises deploy Anthropic's Claude AI in production — across enterprise implementation, API integration, Cowork deployment, Claude Code, MCP server development, and AI agent development.
We are not a generalist AI agency. We don't do ChatGPT, Gemini, or Microsoft Copilot. Every member of our team is either a Claude Certified Architect or actively in CCA prep. Our entire methodology, tooling, and reference architecture is built specifically for Claude deployments. If you want Claude in production — not just in a demo — we're the firm to call.
We are a member of Anthropic's Claude Partner Network, which means we've been vetted and recognised as a trusted implementation partner. We are not owned by or employed by Anthropic — we are an independent firm. Anthropic does not endorse specific consulting engagements, and we don't claim otherwise.
Being in the Claude Partner Network gives us early access to product updates, direct lines to Anthropic's technical team for complex deployments, and the ability to offer CCA Certification preparation programmes. It does not mean you pay Anthropic when you hire us — our fees are separate.
Large SIs — Accenture, Deloitte, Cognizant — have Claude practices. Accenture alone is training 30,000 professionals on Claude. But "has a Claude practice" is not the same as "does only Claude." When you hire a generalist firm, your deployment is handled by a team that also handles Salesforce implementations, SAP migrations, and whatever else came in that week. Our entire firm exists to do one thing.
The specific technical knowledge required to architect Claude API integrations, configure Cowork plugins, build MCP servers, and deploy Claude Code across a dev org is narrow and deep. Architecture decisions made in the first two weeks of a deployment define how the system performs at scale. That's where specialisation matters.
Every engagement starts with a 30-minute strategy call — free, no pitch. We want to understand your current infrastructure, your team's technical capability, the use cases you've identified, and whether Claude is actually the right tool for those use cases (sometimes it isn't, and we'll tell you).
From there, we run a paid Discovery Sprint (typically 5-10 days) where we audit your environment, map your highest-value Claude use cases, and produce a prioritised implementation roadmap. This becomes the governing document for the full deployment. We don't skip this step — the POC graveyard is full of projects that skipped discovery.
Timelines vary significantly by scope. Here's a realistic breakdown by engagement type:
The strategy and roadmap phase is the best way to get a specific timeline for your organisation.
Yes, and frankly, these are often our most successful engagements. Organisations with no prior AI infrastructure don't have legacy architectural decisions to work around. We can design the right foundation from the start — the right model selection, the right API architecture, the right governance framework — without constraints imposed by prior vendor commitments.
What we do need from you: a clear sponsor at the CIO, CTO, or VP Engineering level; a defined set of use cases (we'll help you prioritise them); and a willingness to be specific about your security and compliance requirements upfront. Vague governance requirements are the single most common cause of deployment delays.
Yes — and this is our preferred model for most mid-to-large enterprises. We act as the specialist architecture and implementation layer; your internal team owns the system after handoff. This means every decision we make is documented, every component we build is designed for internal maintainability, and we run a structured knowledge transfer programme at the end of the engagement.
If your internal team wants to build Claude competency alongside us, we offer Claude training and workshops as a parallel workstream. Several clients have used the engagement to prepare their senior engineers for the Claude Certified Architect exam.
Claude Enterprise includes Anthropic's enterprise security tier: zero data retention by default (prompts and responses are not used for model training), SOC 2 Type II compliance, and availability on AWS, Google Cloud, and Azure via Bedrock and Vertex AI. This means your data stays within your existing cloud environment and data residency requirements.
For organisations with stricter controls — financial services, healthcare, defence — we configure Claude Enterprise with your specific data classification policies, design prompt architectures that prevent sensitive data from appearing in model context where it shouldn't, and work with your CISO team on the Claude AI governance framework. We have deployed Claude inside SOC 2, HIPAA, and FCA-regulated environments.
Claude Enterprise customers get zero-data-retention (ZDR) by default. This means Anthropic does not store prompts or completions beyond what's needed to return the response, and your data is not used to train future Claude models. This is the opposite of the consumer Claude.ai experience, where Anthropic may use conversations to improve models (unless you opt out).
For API users on enterprise plans, you can also configure which AWS, GCP, or Azure region handles inference — critical for organisations with data sovereignty obligations in the EU, UK, or regulated jurisdictions. We configure all of this as part of every enterprise implementation engagement.
True on-premises deployment (running Claude models on your own hardware) is not currently available. What is available is deployment within your own cloud VPC via Amazon Bedrock (AWS), Vertex AI (Google Cloud), or Azure AI — meaning model inference happens within your cloud account, data never leaves your environment, and you maintain your own audit logs.
For the vast majority of enterprise security requirements, this architecture is sufficient and is what we recommend. If you have a genuine air-gapped or on-premises requirement, this is a conversation worth having in detail during the discovery phase. There are specific use cases — classified government environments, for example — where the current infrastructure may not meet requirements, and we'll tell you that clearly rather than sell you something that won't fit.
Our full pricing page has detailed rate information. The short version: our Discovery Sprint starts at £8,500, fixed-fee project engagements for standard Cowork or API deployments are typically £25,000–£85,000 depending on scope, and complex multi-agent or multi-system projects are scoped on a time-and-materials basis at £2,200/day for a Claude Certified Architect.
We don't do hourly billing for small ad-hoc tasks — every engagement has a defined deliverable and a fixed or clearly-bounded cost. This protects you from scope creep and gives your procurement team a clean contract to sign. If you've had bad experiences with open-ended consulting engagements that ran 3x budget, this model is a deliberate response to that.
Yes, completely separate. Anthropic's Claude Enterprise plan is a subscription you purchase directly from Anthropic — typically seat-based for Cowork access, or token-based for API usage. These costs vary by usage volume, model selection (Opus vs Sonnet vs Haiku), and whether you're using the API directly or going through Bedrock/Vertex AI with their associated infrastructure costs.
Our fees are for the implementation, configuration, development, and training work. We don't mark up Anthropic's licensing costs. We'll help you model what your Anthropic costs will look like at scale — a lot of our clients find the token economics surprise them before launch, and it's better to work that out during architecture than after you've built the system.
Yes. Our Fractional Claude Architect retainer gives you a named Claude Certified Architect available for a defined number of hours per month — typically 8, 16, or 32 hours. This covers system evolution as Anthropic releases new capabilities, architecture review for internal development, incident escalation, and strategic guidance on new use cases.
The retainer is popular with organisations that have an internal team running Claude in production but want a specialist available when the architecture questions get hard. It's priced at £3,500/month (8 hours) up to £9,500/month (32 hours). See the pricing page for full details, or book a call to discuss whether it's the right fit.
Claude Cowork is Anthropic's desktop-first AI agent product — a standalone application that connects to your files, calendar, email, Slack, Google Drive, and other tools via connectors, then executes multi-step tasks using those integrations. It's designed for knowledge workers who want agentic AI assistance without writing code. Deployment involves configuring connectors, installing plugins, and setting up Claude Dispatch for mobile orchestration.
The Claude API is a programmatic interface for developers building applications that use Claude as a foundation model. If you want to embed Claude into a customer-facing product, internal tool, or automated workflow, you use the API. These are different surfaces for different audiences — and our Claude strategy engagements help you identify which products solve which problems for your organisation.
The Model Context Protocol (MCP) is an open standard developed by Anthropic that lets Claude connect to external data sources and tools — databases, internal APIs, CRMs, ERP systems — through a standardised interface. An MCP server is a lightweight middleware component that translates between Claude's tool-use protocol and your existing systems.
You need custom MCP servers if you want Claude to read from or write to internal systems that don't have off-the-shelf Cowork connectors. Common examples include proprietary CRMs, internal knowledge bases, manufacturing execution systems, and compliance databases. Our MCP development service builds, tests, and deploys these servers with appropriate authentication, rate limiting, and audit logging. Not every deployment needs custom MCP servers — but the deployments that create the most value usually do.
Model selection is one of the most consequential architecture decisions you'll make, and the right answer depends entirely on your use case, latency tolerance, and volume. Here's the practical framing:
In most production architectures, we deploy a tiered model strategy: Haiku for front-line processing, Sonnet for standard tasks, Opus reserved for complex or high-value scenarios. We model this out as part of API architecture work.
The CCA is Anthropic's official technical certification for Claude architects. It launched on March 12, 2026. It's a proctored, 60-question, 120-minute exam covering five domains: Claude API and application architecture, Model Context Protocol, Claude Code and agentic systems, multi-agent architecture and orchestration, and safety and governance.
It's a meaningful credential — closer to an AWS Solutions Architect exam than a prompt engineering certificate. Every member of our senior team holds the CCA. Our CCA preparation programme has achieved a first-time pass rate of over 90%. If your enterprise engineering team wants to build genuine internal Claude capability, CCA preparation is the structured way to do it.
Yes. We run three categories of Claude training programmes: technical training for developers and architects, practitioner training for knowledge workers deploying Cowork and Claude-powered tools, and executive briefings for C-suite and board stakeholders who need to understand the strategic and risk landscape without the technical detail.
For large Cowork rollouts, user training is typically included as part of the deployment engagement. The biggest predictor of Cowork adoption — by a significant margin — is whether users receive structured onboarding vs being handed access and told to figure it out. We've run Cowork onboarding programmes for teams of 20 and for organisations of 800.
A 30-minute call costs nothing. We'll answer your specific questions — deployment, security, pricing, architecture — without a pitch deck. Book directly into our calendar.
Not ready for a call? Start here.
Deep technical articles on Claude deployment, architecture, and product guides.
Browse Articles →Transparent rate cards for all service tiers. No discovery call required to see numbers.
See Pricing →Real deployments, real results. Financial services, legal, healthcare, manufacturing.
View Cases →