Stop treating AI as a mere chatbot. We build, customize, and deploy Anthropic's Claude agents to autonomously command your CRM, execute marketing loops, run deep research, and accelerate engineering.
Architect Your WorkforceWatch how Claude orchestrates tasks from natural language to CRM updates, data analysis, and code execution.
What Pylon agents actually produce, delivered straight to your CRM, inbox, and codebase.
Every inbound lead arrives in your CRM already enriched, scored, and assigned. Pylon agents pull from LinkedIn, your data lake, and prior touches, then write a complete interaction profile back in seconds.
Brief in, finished pipeline out. Pylon agents write SEO-ranked articles in your brand voice, queue them into your CMS, and quietly A/B test creatives across ad accounts overnight.
Days of analyst work compressed into minutes. Agents scrape the web, query your private data lakes, and deliver structured executive briefs ready to forward to the board.
Claude Code teammates triage tickets, review PRs, and ship hotfixes while your devs sleep, with audit trails and human approval gates on every commit that matters.
Select the specific agent workflows your enterprise requires and review the deployment architecture.
Common questions before we go to architecture.
A swarm is a group of specialised Claude agents that communicate and coordinate to execute complex workflows. One agent might query your CRM, another generates a report, a third runs analysis, all orchestrated by a Claude router agent that breaks down the original request.
Claude has the strongest reasoning and tool-use reliability for agentic workflows, especially via the Model Context Protocol (MCP). We deploy whatever model is best for the use case: Claude for orchestration and long-context reasoning, smaller local models where data residency matters.
Via Anthropic's Model Context Protocol (MCP). We build custom MCP servers that securely connect Claude to your databases, CRMs, internal APIs, and tools. Claude only sees what you grant it; nothing leaves your environment without explicit permission.
Every deployment includes guardrails: approval gates for high-impact actions, rate limits, audit logs, and rollback procedures. We start with read-only agents, expand to write actions once trust is established, and never deploy fully autonomous agents without human checkpoints on the actions that matter.
Yes. We deploy Claude Code agents that resolve Jira tickets, review pull requests, refactor legacy code, and ship deploys, with the same approval gates as any other automation. Most engineering clients use Claude as a teammate, not a replacement.
Typical engagements run 6–10 weeks from kickoff to production swarm. Simpler single-agent deployments (e.g. a research agent or weekly report generator) can be live in 2–3 weeks.
Book a technical consultation. We will audit your current workflows and show you exactly how Claude agents can multiply your output without expanding your headcount.
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