How we build them
We do not start from a Zapier template. We start from how your team actually works, and design the automation to fit. Nothing generic, nothing forced.
Your CRM, your CMS, your Slack, your calendar, your shared drive. We integrate where your team already lives, not where it would be convenient for the integration vendor.
Every run logged with inputs and outputs. Every failure surfaced with context. Every decision auditable. You see what the automation did, when, why, and what it cost to run.
What we build
Lead routing, calendar sync, document generation, internal notifications. Triggered by webhooks, schedules, or events. The classic "this thing happens, do these five things" — built robust.
Research agents, drafting agents, classification agents, customer support agents. With memory, tools, and observability. Not a single API call wrapped in a UI — a real agent loop, tested and trusted.
Invoice extraction, contract review, RFP responses, form digitization. Structured output, validated against your schema, pushed downstream. The PDF nobody on your team wants to read becomes a row in your CRM.
Sanity to Notion to Salesforce to Slack. Two-way sync where it makes sense, conflict resolution, audit trail. Your data lives in the tools your team chose; we just keep them in agreement.
Inbound lead classification, enrichment from public sources, routing to the right salesperson with full context. The sales team gets a name, a score, and a one-line summary — not a noisy inbox.
Admin dashboards, approval workflows, custom CRMs for niche teams, observability panels for the automations themselves. The two-week side project that became infrastructure, built right the first time.
How it looks across verticals
Inbound brochure requests get auto-classified by intent (browsing vs ready-to-buy), enriched with public data (LinkedIn, registry, social), scored against the lead intelligence model, and routed to the right salesperson on WhatsApp with a one-line summary of why they matter. Sales team sees the lead before they have closed the browser tab.
Patient inquiries auto-triaged by procedure, matched against specialist calendars, scheduled with a follow-up email sequence. If the patient lands outside business hours, the chatbot handles intake; the next morning the coordinator reviews a queue of qualified consultations, not a noisy inbox.
RFP responses drafted by an internal AI agent grounded in the firm's regulatory knowledge base, reviewed by a partner via Slack approval, sent within SLA. What used to be three days of partner time becomes ninety minutes of review.
What it is built on
TypeScript or Python depending on the shape of the work. Cloudflare Workers, Durable Objects, or our own infrastructure. Sanity for content, Postgres or D1 for state, Anthropic or OpenAI for the AI layer. You get the source. You can take it elsewhere. We never hold the work hostage to a hosted service.
We log every run. We observe every failure. We hand over runbooks, docs, and source. You can leave any time.
Partnership model
We build, host, monitor, and iterate. You get a quarterly review and a monthly cost line item. We add features as your business changes, and we own the on-call when something breaks.
We design, build, and document. Your team takes the keys. We provide a runbook, an onboarding session, and a 30-day support window. After that, the system is yours to operate, fork, or rebuild.
Start the conversation
Whether it is one workflow or a multi-agent platform, we will reply within 24 business hours with a thoughtful answer.
Your information is kept strictly confidential.