Anthropic partnership

Most AI projects don't fail on the model.
The team that was supposed to ship failed.

Redapt is an Anthropic services partner. We deploy a pod of Forward Deployed Engineers who take Claude from access to production to measurable business value, on the platform your organization already runs.

Talk to an AI Deployment Engineer

The Stakes

The problem isn't access. Its execution.

Claude is available today — natively, on AWS Bedrock, and on Azure AI. Any organization can provision access before lunch. What most organizations are missing is the engineering capacity to take the model from a working demo to a production system someone can operate, audit, and defend to a CFO.

Most AI pilots stall at the same point: the data layer wasn't ready, there was no operationalization plan, and no one was accountable for getting the model across the production threshold. The organizations shipping Claude to production are not the ones with the best model access. They are the ones with an engineering team embedded in the work.

Organizations that do reach production face one more gap: they cannot answer the executive team's questions. What is AI costing by department? What has changed in business? Without that reporting layer, programs that are technically working lose their budget to programs that are better at telling their story

The Partnership

An Anthropic services partner that deploys engineers, not just recommendations.

Redapt is an Anthropic services partner positioned early in the ecosystem as Anthropic's partner program matures and scales. When you say yes, here's what we deploy: a pod of Forward Deployed Engineers, an AI Solution Lead, a Cloud and Data Engineer, an Agentic Workflow Builder, a Governance Advisor, and an Adoption Lead, embedded with your organization and accountable for the production outcome. Each engineer is engaged only when their specific skills are needed, so projects stay lean and deliver the most value possible.

Large system integrators build teams that are too large and too slow. Hyperscalers sell platforms, not execution. Redapt sits in the space between genuine technical depth, the right scale for mid-market engagements, and the Anthropic relationship, enabling us to deploy Claude exactly where it fits.

WHY REDAPT FOR ANTHROPIC

Three gaps the pod is built to close, so you don't have to close them alone.

The data gap is closed before the build begins.

Most enterprise Claude deployments use Retrieval-Augmented Generation, where Claude reasons over your proprietary data at query time. If the data layer isn't ready, RAG produces confident but wrong answers. That's why the pod builds the foundation first: schema validation, vector embeddings, lineage tracking, data contracts, and audit trails, all before deployment starts.

The velocity gap is closed inside the pipelines your teams already use.

The pod integrates Claude into the development and automation workflows your engineers already rely on: code review, code generation, documentation, infrastructure as code, and incident triage. Redapt builds that capability into your team, not into a long-term dependency on us. Your teams go faster—no new org chart required.

The accountability gap is closed before your CFO asks.

Getting Claude to production is the first milestone. Keeping it funded is the second. The pod gives you consumption visibility by agent, department, and use case, plus a business value dashboard that gives your CFO and CIO something to report, not defend.

How We Work

The pod embeds. Here's what that looks like, step by step, so you always know where things stand.

Discovery

We find out what actually needs to be built. The pod works with your technical and business teams to identify which use cases are production-ready now and which need foundation work first. You walk away with a scoped deployment roadmap and executive alignment, not a slide deck your team has to execute alone.

Foundation

The data layer goes in before Claude does. The Cloud and Data Engineer builds the architecture the model needs: schema validation, vector embeddings, lineage tracking, data contracts, and audit trails. This is the work that determines whether the deployment succeeds, and we treat it that way.

Governance

Built in, not bolted on. Security controls, compliance mapping, and guardrails are designed alongside the data foundation, not after it. Redapt designs private endpoints, data access controls, input and output logging, audit trails, and compliance mapping into every engagement from day one. For regulated industries, this is what determines whether the model can be used in production at all.

Deployment

Claude goes live, and your agents go to work. The pod implements Claude on your platform. The Agentic Workflow Builder designs multi-step workflows where Claude moves from answering questions to executing work on your systems: knowledge agents, workflow automation, document processing, customer-facing operations.

Accountability

The reporting layer that keeps AI funded. You get consumption data by agent, department, and use case, spend forecasting, and a business value dashboard connecting AI investment to the outcomes it was deployed to produce. The CFO conversation becomes a reporting conversation, not a justification.

OFFERINGS

The engagement starts wherever you are, no matter your starting point.

AI Discovery Workshop

Use case roadmap and executive alignment before any build begins.

AI Readiness Assessment

Clear picture of what's ready for Claude deployment and what must close first.

AI Ready Data Build

Data architecture, schema validation, lineage tracking, and governance are production-ready.

Claude Deployment on AWS Bedrock

Claude on AWS, integrated with your data architecture, security controls, and pipelines.

Claude Deployment on Azure AI

Claude on Azure, integrated with Azure data services, Microsoft security controls, and your workflow.

Engineering Velocity with Claude

Claude in your existing dev and automation pipelines. Faster teams, no new org chart.

AI Governance Implementation

Security controls, compliance mapping, and guardrails designed in from day one.

AI FinOps: Cost Monitoring

Consumption visibility by agent and department, ready before your CFO asks.

AI FinOps: ROI Monitoring

Business value dashboard connecting AI spend to the metrics it was built to move.

Frequently Asked Questions

What is the execution pod, and how is it different from a consulting engagement?

We already have access to Claude. What does the pod add?

We're stuck in pilots. Can the pod help us ship?

We deployed AI. Our CFO wants to know what it's worth.

How long does a typical engagement take?

What does the pod hand back at the end?

Is Redapt the right fit if we're still evaluating whether AI is ready for our organization?

NEXT STEP

Bring your challenge. We'll bring the engineers.

A working session with the people who will actually do the work, not a sales call. Bring your current AI challenge, whether it's a pilot that hasn't shipped, a deployment with no clear production path, or a CFO asking questions you don't yet have answers to. We're ready when you are.

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Most AI projects don't fail on the model. The team that was supposed to ship failed.