Claude 3p

Claude for the modern enterprise.

Give every employee Claude — without giving up control.

Deploy Claude Cowork (Desktop) and Claude CLI across your entire organization. Enterprise SSO, per-user quotas, full audit trails, and zero data leakage — all running inside your own AWS account.

Go Live In Under a Day Schedule Demo
SOC2 ready architecture
· AWS PRIVATELINK READY
# Install Workmates Infrastructure
$ uv tool install git+https://github.com/demo-code-subdirectory=source
# Initialize VPC configuration
$ ccwkwb init --region us-east-1
AWS Profile: default
✔ Configuration saved to .workmates.json
# Deploy CloudFormation stacks
$ ccwkwb deploy --production
Deploying infrastructure...
✔ Stack deployed in 8m 42s
AWS Premier Tier Partner

Consulting Partner of the Year 2025

Transformation Partner Visionary Award 2024

AWS Partner Tier Advanced Consulting Partner

Well-Architected Partner Program Member

We are Cloud Workmates

An AWS Premier Tier Services Partner that works exclusively with AWS. We help enterprises deploy, govern, and scale AI infrastructure — from cloud migration to managed Claude deployments in your VPC.

Enterprises struggle to adopt AI at scale.

Authentication

Giving 500+ employees secure access without distributing API keys.

Observability

No visibility into token consumption, latency, or per-user activity.

Governance

No quotas, no model restrictions, no audit trail for compliance.

ROI Evaluation

No per-team cost attribution to measure or justify AI investment.

Features

Everything your org needs.

Three Clients, One Backend

Claude Cowork for chat, Claude CLI for engineering, and the automation CLI — all sharing the same quota pool, auth, and observability.

Claude Cowork
  • • Full chat UI with artifacts
  • • File uploads & prompt caching
Claude CLI
  • • Terminal + Git integration
  • • Auto-PR & security scan
CLI (ccwkwb)
  • • Batch mode (1000s of files)
  • • Headless CI/CD automation

Quota & Cost Control

Per-user token limits, team pools, warn/block enforcement with Redis-backed counters.

Engineering38M / 50M
Marketing21M / 25M

Skills & MCP Registry

Bundle custom skills and MCP servers into distributable plugins. Pre-configured integrations for AWS, GitHub, Linear, PostgreSQL.

AWS Bedrock GitHub Linear PostgreSQL + more

Deploy in Three Commands

ccwkwb init ccwkwb deploy ccwkwb package
Installation Demo
Security

Your data never leaves your AWS account.

All inference happens in your Bedrock deployment. Conversations are never shared with Anthropic or any third party.

Cognito SSO

Native OIDC with Okta, Azure AD, PingFederate.

IAM Least Privilege

Only bedrock:InvokeModel* granted.

TLS 1.3 + KMS

Encrypted in transit and at rest.

Zero Training

Bedrock never uses your data for training.

Security Architecture
Observability

See everything. Miss nothing.

Real-time token usage, per-user breakdowns, model latency, and cost attribution — all in a built-in admin dashboard.

Admin Dashboard — Real-time Metrics
Dashboard Overview Dashboard Details
Tokens
Input / Output
Latency
P50 / P95 / P99
TTFT
Avg / Max
Cache
Read / Write
Throttles
Rate / Count
Cost
Per user / team
Use Cases

Built for every team.

Engineering

  • Code review with security feedback
  • Root cause from log files
  • Auto-generate API docs
  • Bulk refactor via CLI

Data & Analytics

  • Natural language to SQL
  • CSV analysis → exec summaries
  • Chart code generation
  • Anomaly detection

Customer Support

  • Auto-triage by urgency
  • Search 10k+ KB articles
  • Draft replies from past tickets
  • Flag VIP escalations

Legal & Compliance

  • Highlight non-standard clauses
  • Draft GDPR/CCPA docs
  • Summarize audit evidence
  • Auto-redact PII
AI Governance

Enterprise AI Governance
Built on Five Pillars.

Who can use it? What can they do? How do you prove it? How do you control cost? How do you stop it if something goes wrong? — We answer all five.

01

Access

Who can use what

02

Usage

What they can do

03

Audit

How you prove it

04

Financial

How you control cost

05

Operational

How you stop it

Access Governance

Role-based model access, department policies, time-based restrictions, conditional access (VPN/managed devices), just-in-time elevated permissions, and geo-fencing for data residency.

Usage Governance

Tiered quotas (daily/weekly/monthly), hierarchical inheritance, auto-downgrade on exhaust, PII redaction, topic denial, toxicity filtering, sensitive data classification, and input/output validation.

Audit & Compliance

Immutable audit logs, full prompt/response history, SIEM export (Splunk, Datadog), auto-generated compliance reports, incident timelines, and data lineage tracking. Maps to SOC2, ISO 27001, GDPR, HIPAA, and EU AI Act.

Financial Governance

Cost center attribution, hard budget caps, chargeback reports, ROI tracking, spend forecasting, anomaly detection, and comparative cost analytics across models.

Operational Governance

One-click kill switch, per-user suspend, model blacklisting, policy rollback, canary deployments, circuit breakers, and auto-failover to fallback models.

Per-User Governance & Spend Dashboard
Migration

Migrate to Claude with Zero Friction

Already using another AI provider? We handle the full migration to Claude on AWS Bedrock — preserving your workflows, integrations, and governance policies.

OpenAI / ChatGPT
Claude

OpenAI → Claude

  • →GPT-4 / GPT-4o to Claude 3.5 Sonnet / Opus
  • →OpenAI API to Bedrock API (drop-in compatible)
  • →Custom GPTs to MCP-based skills
  • →ChatGPT Enterprise to Claude Cowork Desktop
  • →Data stays in your AWS — no third-party SaaS
Gemini / Copilot / Others
Claude

Other LLMs → Claude

  • →Gemini / Copilot workflows to Claude CLI
  • →Prompt libraries & system prompts ported
  • →Existing integrations rewired to MCP servers
  • →User onboarding with zero downtime
  • →Full governance & observability from day one
01

Audit

Map current AI usage, prompts, integrations, and spend.

02

Plan

Design Claude deployment with equivalent workflows.

03

Migrate

Deploy Workmates infra, port prompts & skills, onboard users.

04

Optimize

Tune quotas, caching, and model selection for cost & quality.

Comparison

Solution by Workmates vs. DIY

Aspect AWS Guidance (DIY) Workmates Platform
Access Control Basic IdP group yes/no Role-based, model-level, time-based, conditional
Quotas Not included Per-user, per-team, hierarchical, real-time
Guardrails Manual Bedrock setup Pre-configured, policy templates, cross-region
Audit Raw CloudWatch logs Structured, searchable, SIEM-exportable
Cost Attribution AWS Cost Explorer (delayed) Real-time per-user/team with chargeback
Admin Dashboard Not included Built-in, production-ready
Kill Switch Manual IAM changes One-click from dashboard
Compliance Reports Build your own Auto-generated, auditor-ready
Trusted By

Our Customers

ARJAVA
J&F
Quickplay
Pricing

Simple, transparent pricing.

Starting from

$15,000

USD

Please contact us for detailed pricing tailored to your organization's needs.

Contact for Details →

info@cloudworkmates.com

Ready to deploy? It takes 10 minutes.

Join enterprise teams who've reclaimed control over their AI infrastructure.