AI implementation that actually ships.

It means we identify three to five workflows in your business that AI can absorb — lead intake, customer support, content creation, internal reporting, document drafting, scheduling — and we build them. Your team learns the system while we install it. You walk away with working AI-powered workflows in production, not a slide deck. Pricing typically ranges from $5,000 for a single workflow build to $50,000+ for full operational deployment with multiple integrations.

ChatGPT Plus gives one user better personal productivity. Zapier handles simple 2-3 step automations between SaaS tools. We build custom AI systems that connect to your specific data, run multi-step agentic workflows, handle business-critical operations, and live in your infrastructure forever. When the work gets real — your data, your security requirements, your branching logic, your scale — off-the-shelf tools hit a wall. That's where we come in.

Pilot project (one workflow): $5,000–$15,000 fixed scope. Multi-workflow implementation: $15,000–$50,000+ depending on integrations and complexity. Ongoing retainer for scale + optimization: $3,500–$15,000/month. Voice agents typically $8,000–$20,000 to build + hosting. Custom agentic workflows $10,000–$50,000+. We provide written quotes after the AI Readiness Assessment so you have firm numbers, not ranges.

AI consulting (our /ai-consultant page) delivers a written roadmap — strategy, prioritization, recommendations. AI implementation actually builds the systems. Most clients start with the $1,500 AI Readiness Assessment to map opportunities, then move to implementation engagements to build the top 1-3 from that roadmap. You can also start straight with implementation if you already know what to build.

First AI workflow live in 10–14 days from kickoff. Most clients have 3–5 live AI systems within the first 90 days. We work in short cycles — audit, build, ship, measure — so you see real working systems early instead of waiting 6 months for a big-bang launch that never quite happens.

We use existing foundation models (Claude, GPT, Gemini, open-source) and build the application layer that turns them into production systems specific to your business. Training a new model from scratch is rarely the right move for SMBs — costs are in the $100K-$1M+ range and the open foundation models are good enough for 95% of business use cases. We focus on the integration, prompting, tool use, and workflow design that turns generic models into your AI systems.

No — and we don't pitch it that way. AI replaces specific repetitive tasks within jobs. Your customer service rep stops typing the same 10 responses for the 100th time and instead reviews/sends AI-drafted replies in a fraction of the time. Your accountant stops doing reconciliation and starts doing analysis. The teams we've worked with end up doing higher-value work, not less work. That said — if your role is 90% routine repetitive output, that's the role AI restructures fastest.

Every system we build respects enterprise data-handling rules from the AI providers we use, and your data is never used to train public models. For sensitive workloads we can self-host open-source models or keep everything inside your cloud. We architect to your compliance requirements: SOC 2, HIPAA, FINRA, GDPR — we've shipped systems against all of these. Your IP, your customer data, your rules.

We collaborate. If your IT team prefers Azure OpenAI over direct OpenAI for enterprise contracts, we use Azure. If they prefer self-hosted Llama on your AWS, we use that. If they have specific security requirements, we build to them. We're vendor-agnostic and infrastructure-agnostic. The only thing we won't do is ship a system we don't think will work — but we'll always tell you why before declining.

We're based in Elizabeth, NJ. We work in person with NJ clients across Union, Essex, Middlesex, Hudson, Bergen, Morris, Monmouth counties when it helps. Beyond the region we work remote with clients across the U.S. The implementations are software — they don't care about geography. NJ-specific advantage: we can do on-site working sessions, audits, and team training in person.

Three options. (1) Book a 30-minute intro call via /contact — we'll talk through your situation and tell you whether we're the right fit. (2) Book the AI Readiness Assessment ($1,500, two-hour session + written 48-hour roadmap) if you want a structured deliverable to act on. (3) If you already know what you want built, send us a scope description and we'll quote a fixed-price pilot within 48 hours.