Claude implementation services, pilot-ready in 30 days.

Week 1 — discovery and scoring. We sit with the teams who own the workflow, score candidate use cases on value, data readiness and risk, and agree the measurable outcome the engagement is judged on. You leave the week with a shortlist and a target metric, not a deck.

Week 2 — eval suite and access. We assemble a golden dataset from your real cases, write the graders, and get model access wired through Bedrock, Vertex or the Anthropic API inside your network boundary. From this point every change is measured rather than argued.

Weeks 3 and 4 — working prototype. We build the prompt, retrieval and tool layer, stand up an MCP server over the systems the workflow touches, and run it against the eval suite until it clears the agreed bar. You see a system handling your own cases end to end.

End of month one — a go or no-go decision backed by numbers: accuracy against the eval set, cost per interaction, latency, and the remaining work to reach production. If the numbers do not support building, we say so.

We are an Anthropic-aligned engineering consultancy, not a generalist agency. Our teams have shipped Claude into regulated enterprise environments, so we understand the difference between a demo and a production-grade system.

We pair model selection with rigorous evaluation. Every recommendation is tested against your data, your latency budget, and your compliance requirements before it reaches production.

We route Claude through AWS Bedrock or Google Vertex so inference stays inside your existing cloud account and network boundaries. No data leaves your VPC unless you explicitly configure it.

We layer in audit logging, PII redaction, role-based access, and policy guardrails aligned to HIPAA, PCI-DSS, SOC 2, and ISO 27001 controls. Compliance is designed in, not bolted on.

The same eval harness that gates the pilot gates every change afterward — golden datasets, rubric graders, and regression checks run in CI, so a prompt or tool change never ships on a hunch. Rollout is phased: one team, then a department, then the wider organization, with usage, cost and quality dashboards at each step.

Production hardening covers the pieces pilots skip: cost and latency budgets enforced at the gateway, prompt caching on high-volume paths, a router across Haiku, Sonnet and Opus to control spend, and per-request trace logging for audit. Handover includes runbooks and training so your engineers operate the system without us.

Claude Code is Anthropic's agentic coding assistant. We run pilot programs that map Claude Code to your repositories, review workflows, and internal libraries, then measure output quality and developer acceptance.

Adoption includes prompt templates, guardrails for generated code, CI/CD hooks, and training so your engineers get faster, safer assistance without giving up control.

Yes. We build Model Context Protocol (MCP) servers that expose your internal tools and data to Claude in a structured, secure way.

For agentic workflows we design multi-step loops with clear checkpoints, tool-use validation, and human-in-the-loop approval for high-stakes decisions. Every loop is backed by an evaluation harness that catches regressions before users do.