Claude Automated Workflows & Training
We identify your high-friction work, build Claude-powered workflows, Skills, agents, and integrations around it, then train your team to operate and improve what we ship.
Start with one workflow. We'll help determine whether it needs a Skill, agent, integration—or simply a better process.
Most teams don't have an AI problem—they have ten AI experiments that never meet. Clever demos, zero leverage, because nothing shares data or hands off to anything else. We fix the connective layer first, then automate responsibly.
A chatbot here, a summarizer there, a script no one owns—each works, none share context, so the whole never adds up to a system.
Teams try GenAI, but the workflow isn't integrated and adoption stalls once the initial excitement fades.
Every agent starts from zero and a person copies output between tools by hand—so the moment they're busy, everything stalls.
Without governed access to real systems, an AI agent improvises on stale, fragmented information—and can't be trusted with real work.
No one owns the source of truth, access, or QA—so a shared backbone becomes a bigger mess and risk grows with every new agent.
The automation works until it needs a change, and the only person who understands it is gone—so it quietly rots.
We build practical Claude agents wired into a governed backbone—and train your team to own them. That means automating the handoffs that actually cost time, connecting agents to trusted data, and putting guardrails in place so adoption is safe and durable.
Agents share context and write to one governed source of truth, so each one can see what the last one did—and the whole gets more useful as it grows.
Agents compound instead of running as isolated toys.
We automate the specific work your team repeats—briefs, triage, extraction, drafting, reporting—shaped to how you actually operate, not a generic demo.
Automation you can trust with real work.
Every build ships with runbooks, guardrails, and hands-on training so your team can run, extend, and govern the agents without depending on us.
Your team owns it—no vendor dependency.
One system. Built for real jobs. Yours to own.
Not a pile of features—four outcomes that compound. A production-ready Claude workflow, connected to the context it needs, safe to operate, and owned by your team.
A production-ready Claude workflow, Skill, or agent built around an actual business process—shaped to your voice and process, with agents that hand off to each other and compose into one flow instead of running as isolated toys.
Approved data, tools, and systems connected through APIs and the Model Context Protocol—plus one governed place agents read from and write to, so context compounds and every new agent builds on what already exists.
Guardrails, human-review points, permissions, and source-of-truth ownership designed into the workflow—plus monitoring and feedback loops that catch failures early and keep automation trustworthy as it scales.
Runbooks, documentation, and hands-on training so your team can operate, adjust, and build new agents with confidence—the workflow does not stay consultant-dependent.
A Claude build compounds when the ground is ready. Here's what surrounds one worth owning—the readiness check before, the backbone beneath, and the ownership after.
Not sure you're ready to automate?
Before you build, see whether your data, systems, and workflows can actually support agents—and the gaps to close first, so automation sticks instead of stalling.
Need agents wired to real systems?
The governed backbone your agents share—so Claude connects to your real tools and hands off cleanly, instead of running as isolated demos.
Need to keep it running after launch?
Senior AI & automation leadership on tap—to keep your agents governed, monitored, and improving after go-live, without a full-time hire.
Salesforce Agentforce Specialist · Purdue Generative AI · HubSpot Architecture · full-stack integration engineering—the expertise behind every build.
Select one or more tags to filter. No selection shows all certifications.
Showing 4 of 21
Post Graduate Program in AI and Machine Learning
Issued: Sep 2025
Credential ID: 161963791
Issuer: Purdue University
Demonstrates advanced training in Python-based data science, machine learning, and natural language processing, with hands-on experience applying AI models to real-world business and analytics use cases.
Verify Credential for Post Graduate Program in AI and Machine LearningGenerative AI for Business Transformation
Issued: Apr 2025
Credential ID: 141186682
Issuer: Purdue University
Demonstrates applied expertise in using generative AI across software, marketing, sales, and R&D to automate workflows, enhance decision-making, and drive scalable business innovation.
Verify Credential for Generative AI for Business Transformation
Salesforce Certified AI Associate
Issued: Nov 2024
Credential ID: 5247282
Issuer: Salesforce
Demonstrates expertise in designing, deploying, and managing Salesforce AI agents, including prompt engineering, data integration, and lifecycle management to drive intelligent, automated business workflows.
Verify Credential for Salesforce Certified AI AssociateSalesforce Certified Agentforce Specialist
Issued: Nov 2024
Credential ID: 5287501
Issuer: Salesforce
Demonstrates expertise in designing, deploying, and managing Salesforce AI agents, including prompt engineering, data integration, and lifecycle management to drive intelligent, automated business workflows.
Verify Credential for Salesforce Certified Agentforce SpecialistWe build with Claude, in public—here's one we shipped and open-sourced.
Claude AIMarTechHubSpot
An installable Claude Skill that makes HubSpot prompt work faster, smarter, and easier to reuse.
Claude AIAI AutomationIntegration Spine™
We ran parts of our own company on ten connected Claude agents—one system, not ten demos.
Build the smallest useful version, wire it to the data it needs, then train your team to own it. That's how AI stops being a demo and starts compounding.
We build with Claude in public—see what we've shipped and open-sourced. See the work
