Canonical: https://www.strataigize.com/partnerships/anthropic/ Description: How Strataigize builds on Anthropic Claude: agent development, human-in-the-loop automation, and governance, proven on our own business first. [Home](https://www.strataigize.com/) / [Partnerships](https://www.strataigize.com/partnerships/) / Anthropic Anthropic # Anthropic and Strataigize. We use Claude for reporting, coordination and research in our own business, and build automations for client workflows with written limits and human approvals. [Book a growth consult →](https://www.strataigize.com/audit/)[Explore the work](https://www.strataigize.com/partnerships/anthropic/#offers) Partner status ## How we report _status._ A badge appears here only after Anthropic verifies it, with a plain line on what it required. Services ## Work on this _platform._ Explore the service scope below. Current ranges and terms are on the pricing page. [01 ### AI Opportunity Audit Two weeks, at the published fixed price. A costed list and a 90-day plan you can hand to any vendor. See the offer →](https://www.strataigize.com/offers/ai-opportunity-audit/)[02 ### One Claude workflow One workflow on your data, with a written success metric and human approval for money, client messages and system writes. See the offer →](https://www.strataigize.com/offers/pilot-build/)[03 ### Agents already running Monitoring and maintenance for agents already running, with outputs checked against baselines in a monthly report. See the offer →](https://www.strataigize.com/offers/production-retainer/)[04 ### A site an assistant can read AI search optimization that helps assistants find and cite useful pages, with an example from our own site. See the offer →](https://www.strataigize.com/generative-engine-optimization/) How we work on this stack ## How we use _Claude._ We run our own business on Claude: reporting, coordination, and research. A person sees what moves money or messages a client. Client data is never used to train models. We build on commercial model APIs under terms that exclude training on inputs and outputs, and our AI governance summary is public on the trust page. Model choice is measured: we route each job to the model that measures best for it, and say so. Building deeply on Claude does not mean pretending it is the answer to everything. Case studies ## Our internal Claude _projects._ [ ![](https://www.strataigize.com/case-studies/covers/ai-agents-for-business-the-autonomous-operator-running-our-agency.png)$160K+Founder-estimated annual cost of two avoided hires Strataigize Marketing ### AI Agents for Business: Our Agency's AI Operations Agent **3 to 25 min** New client onboarded, signed contract to live project**24/7** Unsupervised coverage, nights and weekends included Read the case study → ](https://www.strataigize.com/case-studies/ai-agents-for-business-the-autonomous-operator-running-our-agency/)[ ![](https://www.strataigize.com/case-studies/covers/how-agency-uses-ai-agents-automate-busywork.png)50+Estimated team hours saved weekly Strataigize Marketing ### How Our Marketing Agency Uses AI Agents to Automate Busywork **40+** Estimated client tasks queued monthly**7 days** A week of industry news, read in minutes daily Read the case study → ](https://www.strataigize.com/case-studies/how-agency-uses-ai-agents-automate-busywork/) [Browse every case study →](https://www.strataigize.com/case-studies/) Questions ## Anthropic and us, _answered._ Are you an official Anthropic partner? We publish partner status only once the program itself verifies it, and this page will show the badge with a plain-language line stating what the tier required. What we claim today is what we can prove today: Claude agents running our own business in production and client automations built on the same stack, with the case studies on this page. Why Claude for agent work? Long-context reasoning, tool use and instruction-following that hold up in production, plus commercial terms that exclude training on client data. We also run model evaluations per job rather than assuming one vendor wins everything, and we tell clients when a different model measures better for their workload. What does a first Claude engagement look like? The AI Opportunity Audit: two weeks, fixed price, ending in a roadmap with ROI math per workflow. If a pilot follows, it is one bounded workflow with a success metric and a kill threshold agreed in writing before the build starts. Who owns what you build? You do: the agents, their prompts, their configuration and the documentation. ### Talk to the Claude team Add your contact details and website or app URL. We reply within 24 hours to discuss your setup and what you need help with. 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