AI & automation

Practical AI that removes real work. Custom agents, multi-channel assistants, internal copilots — deployed with evals, guardrails and human-in-the-loop where it counts.

№ 01

Discovery → POC in 2 weeks

We tell you what AI can and can't actually do for your business, then prove it on real data.
№ 02

Production agents

Tool-calling agents with evals, guardrails, and observability. Not a chatbot — a coworker.
№ 03

RAG over your knowledge base

Internal docs, ticket histories, contracts. Self-hosted or cloud, depending on data sensitivity.
№ 04

Sales & support copilots

WhatsApp, web, email. The places your customers and team actually live.

LLM opsRAGAnthropic ClaudeOpenAILangChainPinecone / pgvectorWhatsApp Cloud API

We’re skeptical AI builders, which is the right kind of AI builder. Most of what gets called “AI transformation” is a chatbot bolted onto a problem nobody asked to solve. The work that matters looks different.

What we build

Internal copilots that read your knowledge base and answer staff questions accurately, with citations. Replaces hours of “Slack archaeology” per week.
Sales AI (this is what HeyHarvie does). Outreach, follow-ups, lead engagement.
Support automation that resolves 30–50% of inbound tickets without a human, with a clean handoff for the rest.
Decision-support agents for ops, finance, and ops — agents that ingest data and surface decisions, not just summaries.

What we won’t build

We will turn down “AI for AI’s sake” projects. If we don’t see a clean path to measurable value within 60 days, we’ll say so before signing.

No. The most impactful AI projects we ship use the data you already have — internal docs, ticket histories, contracts. A starting set of ~500 documents is enough for a useful RAG system.

Three layers: (1) retrieval over a curated corpus only, (2) tool-calling rather than free-form generation for anything mutating, (3) an eval suite with adversarial test cases that runs on every prompt change.

We'll say so. About 30% of our discovery engagements end with 'this is a workflow problem, not an AI problem.' That's a successful engagement too.