Landscaper who wants AI to handle scheduling and estimates? Real estate firm drowning in manual comp data? Enterprise with 10 disconnected SaaS tools? We build AI agents that plug into your existing software and automate the work — any industry, any platform, any size.
AI agents and automation for businesses of every size — from solo operators to Fortune 500
Custom AI agents that handle real work: answering customer questions, processing estimates, reconciling financial data, managing schedules, qualifying leads. Tell us what eats your time — we build an agent that does it 24/7.
Connect your disconnected tools with intelligent automation. CRM to accounting. Scheduling to invoicing. Quote requests to estimates. We wire your existing software together with AI as the brain — using n8n, Zapier, custom APIs, or whatever fits.
Build secure bridges between your business data and AI. MCP servers, custom APIs, and RAG pipelines that give AI agents real context — your inventory, your client history, your pricing — instead of hallucinated guesses.
Deep integration for platforms like Salesforce, Varicent, NetSuite, ServiceNow, and HubSpot. 15 years of enterprise architecture applied to AI — not bolt-ons, but native intelligence inside the tools your teams already use.
Not every problem needs GPT-5. We evaluate 20+ models and match the right one to your use case — balancing cost, speed, accuracy, and privacy. Cloud, local, or hybrid. We save you from overpaying for AI you don't need.
Production AI that stays running. Local inference on Apple Silicon for privacy-sensitive data, cloud deployment for scale, monitoring, cost tracking, and operational playbooks. We build it AND keep it healthy.
I'm Tommy Gomolski — enterprise architect turned AI builder. Not a consultant who delivers slide decks. I design, build, and operate AI systems in production every single day.
This week I architected an AI agent for Varicent compensation management — natural language commands via Slack, automated reconciliation, governance-enforced promotion gates. Zero Salesforce involved. The pattern works for any platform.
15 years at companies like Medallia, Attentive, and Puppet. I've also published AI-powered products on the Salesforce AppExchange, built MCP servers on Cloudflare, and run 10+ AI agents on Apple Silicon clusters.
Whether you're a landscaping company that needs an AI estimator or a Fortune 500 that needs enterprise workflow automation — the architecture patterns are the same. I just know how to apply them at every scale.
No fluff. No 6-month discovery phases. Real results, fast.
Walk us through your day. What takes too long? What falls through the cracks? We find the automation that saves the most time and money — not the flashiest demo.
We map out exactly how AI plugs into your existing tools. Which systems talk to each other. Which model fits your budget. You approve everything before we write a line of code.
Production-grade agents with tests, documentation, and validation. Not a demo that breaks next week — the real thing that runs while you sleep.
We monitor, optimize, and keep it running. Cost tracking, model updates, and continuous improvement. Your AI gets better over time, not stale.
Same architecture patterns, applied to your industry
AI agents that handle lead qualification, comp data reconciliation, listing descriptions, contract review, and client follow-ups. Connect your MLS, CRM, and communication tools into one intelligent workflow.
Automated estimate generation from photos, intelligent scheduling, client communication bots, invoice management. Your crew focuses on the work — AI handles the office.
Reconciliation agents that match records across systems, exception detection, audit trails, and governed promotion workflows. Built for Varicent, Xactly, SAP, or custom comp platforms.
Patient intake automation, appointment scheduling, insurance verification, clinical note summarization. HIPAA-aware architecture with local inference for sensitive data.
Product recommendation agents, inventory intelligence, customer support automation, review analysis, and dynamic pricing assistance. Connect Shopify, WooCommerce, or custom platforms.
Platform-native AI for Salesforce, ServiceNow, NetSuite, HubSpot, and any system with an API. 15+ years of enterprise architecture means we know how to build AI that IT approves and users actually adopt.
The full stack — from infrastructure to interface
We have hands-on deployment experience with 20+ models across all major providers: OpenAI GPT-4/5, Anthropic Claude (Opus, Sonnet), Google Gemini Pro, Meta Llama 3, Qwen 3, DeepSeek V3, Mistral, Kimi K2.5, and more. We help you pick the right model for the job — not the most expensive one.
Any industry where software runs the business. We've built AI agents for enterprise compensation management (Varicent), CRM intelligence (Salesforce), and workflow automation (n8n). The same patterns work for real estate firms, landscaping companies, healthcare practices, retail, finance, and any business ready to automate with AI. The platform doesn't matter — the architecture does.
Model Context Protocol (MCP) is a standard that lets AI agents securely access your business data and tools. We build custom MCP servers that connect your CRM, ERP, and internal systems to AI assistants — giving them real context instead of hallucinated answers. Think of it as an API specifically designed for AI consumption.
OpenClaw (formerly Hermes) is an open-source AI agent orchestration framework. We deploy, configure, and customize multi-agent systems that automate complex workflows — from code review and security auditing to competitive intelligence and customer research. Agents run 24/7 on your infrastructure.
For small businesses: a focused 1-2 week sprint to identify your highest-ROI automation, then we build and deploy it. For enterprises: a 1-week assessment, followed by architecture and build sprints with formal PRD and ADR peer review. Most projects deliver production results in 4-6 weeks. No 6-month discovery phases. No decks that never become code. We ship.
Yes. We specialize in hybrid local/cloud inference. Using Ollama on Apple Silicon (M3/M4 Ultra), you can run capable models entirely on-prem for sensitive data — with cloud fallback for heavier workloads. Lower costs, better privacy, full control.
Whether you're a two-person landscaping crew or a 10,000-person enterprise — if software runs your business, AI can make it smarter. No pitch decks. No 6-month timelines. Let's talk about what's possible this month.
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