AI / ML · LLM · Automation
A chatbot that cannot reach your CRM is a novelty. A voice agent that cannot book a meeting is a recording. We start from the outcome you care about — qualified leads, answered support tickets, recovered carts — then wire models, retrieval, and automation around that outcome.
That means OpenAI and LangChain where language understanding helps, RAG where accuracy matters, and n8n (or custom Node jobs) where systems need to talk to each other at 2 a.m. without waking your team.
High-demand capabilities US companies are actively searching for — delivered as maintainable software, not a black-box subscription you cannot audit.
Ship OpenAI-powered products with tool calling, guardrails, cost controls, and clear UX — built for production, not a weekend prototype.
Assistants that answer from your docs, policies, and product catalog — with citations, so teams can trust what the model says.
Speech-to-text, reasoning, and natural TTS that qualify leads, book demos, and hand off to humans when it matters.
Visual workflows that connect webhooks, CRMs, Slack, email, and AI steps — with retries, logs, and ownership your ops team can maintain.
Automated replies, lead capture, and CRM sync on messaging channels — with AI drafts and a clean path to human takeover.
Lead scoring, triage, and enrichment that plug into the tools you already use — practical machine learning, not science-fair slides.
Prospects do not want to talk to a script. They want quick, accurate answers — and a smooth path to a person when the question gets nuanced. We build conversational AI with retrieval, tool calling, and evaluation loops so quality stays high as volume grows.
Spreadsheets and “someone will remember to do it” do not scale. We design n8n workflows with clear naming, error handling, and documentation — so automation survives after the kickoff call. Prefer Zapier or Make? We can start there and migrate complex flows to n8n when you outgrow click-ops limits.
Lead → qualify → CRM → follow-up
Inbound form or WhatsApp message triggers an n8n flow: AI qualifies intent, writes a CRM note, assigns an owner, and schedules a follow-up if no human replies.
Support inbox with AI drafts
Tickets land in one place. The model drafts a reply from your knowledge base; agents edit and send. Escalations route by urgency — not guesswork.
Voice agent → calendar booking
A voice agent greets callers, answers FAQs from your RAG index, and books a meeting when the prospect is ready — then posts the transcript to Slack.
Ops alerts that actually help
Failed payments, stuck jobs, or empty pipelines trigger smart alerts with context — so your team fixes the issue instead of digging through logs.
We implement the tools that show up in real RFPs and Google searches — OpenAI, LangChain, RAG, n8n, WhatsApp Business API, Next.js, and more.
Onboarding copilots, in-app assistants, and churn-saving support flows that scale without hiring a floor of agents.
Faster lead response on WhatsApp and web chat, CRM hygiene, and proposal follow-ups that stop deals from going cold.
Appointment reminders, intake Q&A, and staff assistants grounded on approved protocols — designed with privacy in mind.
Product Q&A, order status bots, and recovery sequences that feel helpful instead of spammy.
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We map the painful manual work — missed leads, slow replies, tribal knowledge — and pick the highest-ROI automation first.
02
Clear handoffs, tone guidelines, and escalation rules so automation never leaves a customer stranded.
03
RAG indexes, prompts, tool calls, and workflows with logging, rate limits, and secrets handled properly.
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We watch conversion, deflection, and cost per conversation — then refine until the system earns its keep.
Pilots in weeks, not quarters
Secrets, rate limits & audit-friendly logs
We build AI that sits inside real operations — CRM, messaging, and web products — not slide decks. You get LLM apps, RAG assistants, voice agents, and n8n workflows with ownership, monitoring, and a human handoff path.
Yes. We index your approved knowledge (docs, FAQs, product data), add retrieval with citations, and tune prompts so answers stay grounded. Sensitive data stays under your controls.
Absolutely. We connect CRMs, Slack, email, WhatsApp, calendars, and custom APIs in n8n — with retries, error alerts, and documentation your team can maintain.
A focused pilot often lands in 2–4 weeks depending on data readiness and integrations. We prioritize a thin, production-ready slice over a bloated demo.
No — and that is intentional. Automation handles the repetitive 60–80% so your people spend time on judgment calls, relationships, and complex deals.
Yes. We schedule overlapping hours for US teams, provide clear weekly updates, and can sign an NDA before reviewing sensitive systems.
Tell us about your leads, support volume, or ops bottlenecks. We will recommend a practical AI + n8n plan you can ship without disrupting the rest of the business.
Schedule a free consultation with our experts today
