01. Claude implementation

Claude in production. With the substrate to back it.

We build the operational substrate around Claude, eval suites, MCP integrations, HITL gates, audit logs, so the model does real work inside a real business.

Schedule a call →Start a diagnosticReplies within 1 business day

02. The problem

The model is excellent. The substrate is the work.

Most Claude deployments are demos that never make it to Monday morning. The model is excellent. The integration work is where teams stall. Eval suites, retrieval design, MCP, prompt versioning, HITL gates, audit logging, error budgets.

That's the 80% no one talks about. It's also the difference between a Claude project and a Claude system. Building a working demo on a laptop is the easy part. Shipping software that runs every day for years inside a business is a different discipline.

We build on the orchestration substrate as needed, including n8n for workflow chaining and production AI workflows for the broader category. The Claude layer is what makes the judgment calls.

03. What we do

Map. Build. Govern. Operate.

Map

We map the workflows where Claude does real work. Not chatbots, operations.

Build

Production Claude workflows. Eval suites in CI. MCP integration to your existing stack. HITL on destructive paths.

Govern

Audit logs, error budgets, SLOs tied to business outcomes.

Operate

Long-term ownership. We upgrade Claude versions deliberately, not by surprise.

04. Why us

Production Claude across industries that run on operations.

15⁺

YEARS OPERATING

Phoenix & Los Angeles studio. Software for operations since 2010.

200⁺

ORGANIZATIONS

Enterprise teams running platforms we built. DocuPaint alone, AMPP-endorsed.

4 industries

PRODUCTION CLAUDE WORKLOADS

Logistics, industrial, coatings, and freight. Real workflows, every day.

05. Case study

DocuPaint. Inspection AI in production.

15^K+

INSPECTIONS LOGGED THROUGH CLAUDE-POWERED WORKFLOWS

INDUSTRIAL COATINGS · ENTERPRISE SAAS · 2021–ONGOING

DocuPaint

AMPP-endorsed industrial coatings inspection SaaS. 200+ enterprise organizations, 15,000+ inspections logged, 4yr+ in production. Claude powers inspection report generation and document parsing workflows that an inspector used to do by hand on a tablet in a Tyvek suit.

The hard part wasn't the prompt. It was the eval suite, the audit log, the version control on the standards-encoded checklists, the HITL gate before any inspection report went to a customer. The substrate is what made the AI safe enough for a regulated industrial workflow. How we operate in production →

Further reading: what Claude integration actually means in practice.

Read the DocuPaint case study →

06. How we engage

Diagnose. Build. Embed.

01 · Diagnose

Map workflows. Score them for Claude fit.

Six weeks. We map your workflows, score them for Claude fit, and hand you a written 90-day build plan with sequenced bets.

Start a diagnostic →

02 · Build

Production Claude workflows by week one.

Twelve-week sprints. Real users on real data by day five. Eval suites in CI, MCP integration, HITL on destructive paths.

Scope a build →

03 · Embed

Long-term operation of the Claude layer.

Quarterly partnership. Our team operates the Claude layer as your engineering function. Version upgrades, eval drift, governance.

Talk about embedding →

07. FAQ

Common questions, straight answers.

We've already built with the Claude API. What do you add?

Most teams that start with the API hit the same walls: eval discipline, retrieval design, prompt versioning, HITL, audit logging. We don't replace your API work; we add the substrate that makes it production-grade.

Do you only work with Claude?

We standardize on Claude for production workflows where tool use, long context, and refusal behavior matter, which is most operations work. We've shipped systems on other models when the workflow calls for it.

What's MCP and why does it matter?

Model Context Protocol, Anthropic's open standard for connecting Claude to external systems. We use it to give Claude controlled, audited access to your existing stack. One integration to MCP, not one per workflow. Risk surface named, monitored, and revocable.

How do you handle Claude version upgrades?

Deliberately. Our eval suites run on every prompt change and every new Claude version. We test, decide to upgrade or not, ship the change as a deliberate decision.

Are you an Anthropic partner?

We build on Anthropic's Claude models in production. Our partnership status with Anthropic's formal partner program is its own matter, happy to discuss directly. The work itself doesn't require partner badging.

What if our team is non-technical?

Most of our operations clients are. We build for ops leaders, not AI engineers.