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Anthropic Claude practice

Claude, deployed properly — from first seat to production agents.

AgenticQuay is a Claude consulting and implementation team. We roll out Claude Enterprise with the right guardrails, connect it to your systems through MCP, put Claude Code to work in your repos, and build Claude-powered agents — then train every role to use it well.

2 weeksto your first team working in Claude
5ways to run Claude — we deploy on all of them
1 teamfrom rollout and integration to agents
Your systems connect through MCP servers to Claude, which powers Claude Enterprise, Claude Code, agents and your own apps — all inside a governance layer. Your systems Connect Where work happens CRM ERP & finance Data warehouse Docs & wiki Codebase MCP servers scoped audited Claude model per task Claude Enterprisechat · Projects · Skills Claude Codeterminal · IDE · CI AgentsAgent SDK · managed Your appsClaude API Governed end to end SSO & SCIM · role-based access · audit logs · retention controls · evaluations
How we wire Claude into a business: connectors in, governed surfaces out.
Sound familiar?

Buying Claude was easy. Getting value from it is the work.

We usually meet teams at one of these moments.

Professional services firm · 250 seats

Everyone has Claude. Nobody uses it the same way.

Partners love it, associates paste in client documents, and IT has no view of usage or risk.

What we do: a governed workspace, shared Skills per practice area, and a usage policy people actually follow.

Software company · 80 engineers

Claude Code is brilliant — on three people's laptops.

Each engineer configured it differently, so results vary and nobody can say what it's worth.

What we do: shared settings, CLAUDE.md conventions per repo, review guardrails and a two-week engineering bootcamp.

Insurance carrier · claims & underwriting

We want agents, but our data lives in six systems.

Claude can't help with a claim it can't see, and security won't approve broad database access.

What we do: MCP servers over policy, claims and document systems — read-only by default, fully audited.

What we deliver

Claude services, end to end

Pick one, or combine them into a single rollout program.

Discuss your Claude goals

Claude Enterprise rollout

Workspace setup, SSO and SCIM, admin roles, data retention, usage policy and onboarding department by department.

SSO & SCIMAdmin controlsUsage policy

Projects & Skills library

Reusable Skills and shared Projects that capture how your teams write, analyze and review — versioned and owned by the business.

SkillsProjectsStyle guides

MCP servers & connectors

Secure MCP servers that give Claude scoped, auditable access to CRMs, warehouses, ticketing and internal APIs.

MCPLeast privilegeAudit logs

Claude Code for engineering

Org-wide setup: shared settings, CLAUDE.md conventions, hooks, sub-agents and CI workflows that keep quality high.

CLAUDE.mdHooksCI

Claude agents

Production agents on the Claude Agent SDK or Claude API — tool use, human approval steps, tracing and evaluations.

Agent SDKTool useEvals

Claude on your cloud

Deploy through Amazon Bedrock, Google Cloud Vertex AI or Microsoft Foundry with IAM, private networking and cost controls.

BedrockVertex AIFoundry

Evaluation & governance

Golden datasets, model-choice testing across Claude tiers, red-teaming, and policies your risk team will sign.

Golden setsRed-teamingModel risk

Claude training & bootcamps

Role-based cohorts for business teams, engineers and admins — built on your real workflows, not generic demos.

Explore bootcamps
Interactive planner

Sketch your Claude rollout in 30 seconds

Adjust the inputs and watch the plan update. It's the same structure we use in discovery calls.

How many people will use Claude?

150
Which teams are in scope?
What's the first goal?
Your suggested plan

Department rollout: Claude Enterprise rollout

Timeline~5 weeks
Live cohorts6
First team liveWeek 2

      Planning estimate only — we confirm scope, timing and cost after a discovery call.

      Get this plan reviewed
      Claude Code for engineering teams

      From personal tool to engineering standard

      Claude Code reads your codebase, plans changes, runs your tests and opens pull requests. We make it consistent across the whole team — so the gains show up in your delivery metrics, not just in anecdotes.

      • Shared configuration: org settings, allowed tools and permission policies
      • CLAUDE.md per repo with architecture notes, commands and conventions
      • Hooks and CI that run linters and tests on every AI-assisted change
      • Sub-agents and Skills for code review, migrations and test writing
      • Baseline and after metrics: cycle time, review load and defect rates
      Models & platforms

      The right Claude, in the right place

      Claude comes in model tiers and runs on several platforms. We test on your data, then pick the combination that meets your quality, latency, cost and compliance needs.

      Most capable

      Fable

      Anthropic's most capable widely released tier, for the hardest reasoning and long-running agentic work.

      Complex work

      Opus

      Our default for complex analysis, coding and multi-step agents where quality matters most.

      Everyday speed

      Sonnet

      Fast and highly capable for everyday coding, drafting and enterprise workflows at scale.

      High volume

      Haiku

      Low latency and low cost for classification, extraction, routing and sub-agent steps.

      Where Claude runsBest whenWhat we set up
      Claude apps (Team & Enterprise)Knowledge workers across the company need a secure assistantWorkspace, SSO and SCIM, Projects, Skills, connectors, usage analytics
      Claude APIYou're building product features or custom agentsArchitecture, prompt caching, tool use, evals, cost controls
      Amazon BedrockYour workloads and data live in AWSIAM roles, VPC endpoints, guardrails, CloudWatch observability
      Google Cloud Vertex AIYou're standardized on Google Cloud and BigQueryService accounts, regional endpoints, data residency, monitoring
      Microsoft FoundryYou run on Azure and Microsoft 365Entra ID, networking, Azure billing and governance integration
      Use cases

      Where Claude pays off, department by department

      All AI use cases
      Industries

      Claude where accuracy and long documents matter

      Legal

      Due diligence, contract analysis and cited research over long matter files.

      Financial services

      Credit memos, KYC files and regulatory reporting with full traceability.

      Healthcare & life sciences

      Prior auth packets, protocol summaries and literature review with clinician oversight.

      Insurance

      Submission intake, claims file summaries and policy wording comparison.

      Software & SaaS

      Claude Code across engineering, plus support and docs automation.

      Professional services

      Proposal drafting, research synthesis and knowledge management.

      Manufacturing

      Quality reports, supplier documentation and maintenance knowledge bases.

      Public sector & education

      Policy analysis, grant writing and constituent or student services.

      How a Claude engagement runs

      From kickoff to self-sufficient in about six weeks

      1. Assess

        Week 1

        Interview teams, review current Claude usage, data sources and risks, and agree on success metrics.

      2. Configure

        Weeks 1–2

        Workspace, identity, policies and a starter library of Skills and Projects for the first teams.

      3. Connect & build

        Weeks 2–4

        MCP connectors, Claude Code standards and — where it fits — a first production agent.

      4. Enable & measure

        Weeks 3–6

        Role-based training, champions, and an adoption review against the baseline we set in week one.

      Why AgenticQuay for Claude

      Practitioners first, slides second

      We build with Claude every day — agents, MCP servers, Claude Code workflows — and bring that hands-on experience to every rollout.

      Production Claude experience

      We've shipped Claude-powered agents, voice and document systems that run real workloads.

      Vendor-neutral advice

      If OpenAI, an open-weight model or no AI at all is the better answer for a task, we'll say so.

      Security and governance built in

      Least-privilege connectors, audit trails and policies designed with your security team.

      Training is part of the rollout

      Every engagement ends with teams that can extend Claude on their own.

      FAQ

      Claude consulting questions

      What does a Claude consulting engagement include?
      Typically a short assessment, workspace and governance setup, a shared Skills and Projects library, MCP connectors to approved systems, role-based training and an adoption review. Engineering teams add a Claude Code rollout; some clients add a production agent.
      We already pay for Claude seats. Can you still help?
      Yes — that's the most common starting point. Seats alone rarely change how work gets done; we add the configuration, connectors, Skills and training that turn licenses into measurable adoption.
      How long does a Claude Enterprise rollout take?
      Most rollouts take four to six weeks, with the first team working productively in about two. Larger organizations roll out in waves by department.
      What is MCP and why does it matter?
      The Model Context Protocol is an open standard for connecting AI models to tools and data. An MCP server gives Claude scoped, auditable access to a system like your CRM or warehouse, so answers use live company data instead of copy-and-paste.
      Where should we run Claude?
      Business teams usually use Claude apps on a Team or Enterprise plan. Custom applications can call the Claude API directly or run through Amazon Bedrock, Google Cloud Vertex AI or Microsoft Foundry, keeping usage inside your existing cloud agreement and security perimeter.
      How do you choose between Claude models?
      We test candidates on your own examples. Larger models handle the hardest reasoning and long agentic tasks; faster, smaller models handle high-volume or latency-sensitive steps. Many systems route between tiers to balance quality and cost.
      Should we use Claude or ChatGPT?
      It depends on the job, and many companies use both. We're vendor-neutral and recommend a platform per workload based on evaluations, security needs and the tools your teams already use. See our OpenAI consulting page for that side.
      Are you affiliated with Anthropic?
      AgenticQuay is an independent consultancy. We build with Claude every day and track Anthropic's releases closely. You license Claude directly from Anthropic or through your cloud provider — we make it work in your business.

      Anthropic and Claude are trademarks of Anthropic, PBC. AgenticQuay is an independent consultancy and is not affiliated with or endorsed by Anthropic.

      Ready when you are

      Let's put AI to work in your business.

      Book a 30-minute strategy call. You'll talk to an engineer who ships production AI — and leave with a clear next step, whether or not we work together.