Use Cases

The first workflows we usually find.

Most businesses don't need "an AI agent." They need one workflow to stop leaking time, leads, or margin. Each of these follows the same shape: find the pain, build the smallest safe system, and decide up front what stays human.

01

Lead intake & qualification

The pain
Inbound leads wait hours and go cold. Generic auto-replies hurt trust, and nobody's sure which inquiries were even followed up.
What we build
An AI intake agent that classifies intent, routes each inquiry into the right flow, collects contact details, logs to the CRM, and escalates hot leads to a person.
What stays human
Closing the deal, and any sensitive pricing — the agent warms the lead and hands off, it doesn't negotiate.
What changes
Every lead is captured and answered fast instead of lost in a queue. Response time stops depending on who's free.
Typical tools: n8n / Make, Claude or OpenAI, your CRM, WhatsApp / web chat, Telegram or Slack for escalation.
02

CRM updates & follow-up

The pain
The CRM is only as good as whoever remembers to update it. Follow-ups slip, notes live in inboxes, and the pipeline is never quite trustworthy.
What we build
Workflows that log conversations, update records automatically, and trigger proactive follow-up nudges at the right moment.
What stays human
The judgment on how to handle a specific relationship — the system surfaces the next action, your team decides.
What changes
The CRM reflects reality without manual data entry, and revenue-producing follow-up stops happening "when someone remembers."
Typical tools: your CRM, n8n / Make, Claude or OpenAI, email / calendar, Sheets or Airtable.
03

Proposal & quote generation

The pain
Proposals only go out when the founder has time. Deals stall because the highest-leverage document depends on one person's calendar.
What we build
A reusable AI skill built from your brand style, rates, and past proposals. It works from a call transcript, an email thread, or rough notes, and asks only for what's missing.
What stays human
Final review of exceptions — non-standard rates, equipment, or contractor costs get flagged before anything is sent.
What changes
Proposals that took days now take minutes, and the same workflow often becomes a contract generator too.
Typical tools: Claude skills, your doc/contract templates, CRM, email.
04

Client onboarding

The pain
The most expensive onboarding problem usually isn't the form — it's the handoff between form, data, content, team, and the next action.
What we build
Onboarding designed around the workflow that actually moves the business forward: structured intake that flows into the systems and people who need it, not another disconnected spreadsheet.
What stays human
The relationship and any judgment calls — the system removes the manual handoffs, not the people.
What changes
Onboarding that took days becomes same-day, and intake data is complete and usable instead of scattered.
Typical tools: forms, a source-of-truth database, n8n / Make, Claude or OpenAI, email / scheduling.
05

Document processing & approvals

The pain
Documents pile up waiting to be read, routed, summarized, or approved — and the bottleneck is always a person's inbox.
What we build
Workflows that ingest documents, extract and summarize what matters, route them to the right place, and request approval where it counts.
What stays human
The approval itself. AI prepares and recommends; a person signs off on anything with real consequences.
What changes
Routing and summarizing stop eating hours, and nothing important sits unread.
Typical tools: Google Drive / Dropbox, Claude or OpenAI, n8n / Make, your approval channel.
06

Content production systems

The pain
Content that's known to drive revenue — newsletters, social — doesn't go out consistently because it's too manual, and teams fear AI posting the wrong thing publicly.
What we build
A folder-based content engine: the team maintains source files, the AI drafts on-brand posts or newsletters, and a history log prevents repeats. A scheduler handles publishing.
What stays human
Strategy and approval — content automation removes the grunt work, not the editorial judgment, and nothing publishes without a yes.
What changes
Consistent output without reinventing the process each week — and organized files so the AI reads one asset instead of a hundred.
Typical tools: Dropbox / Drive, markdown source files, Claude or OpenAI, your newsletter / social platform, scheduler.
07

Reporting & insights dashboards

The pain
The numbers that matter live across tools, and pulling them together is a manual, error-prone chore nobody has time for.
What we build
Automated reporting that gathers data from your systems, surfaces the signal, and presents it in a dashboard or a scheduled digest.
What stays human
Interpretation and decisions — the system removes the assembly work so your team spends its time on judgment.
What changes
Reporting arrives on schedule instead of when someone finds the time, and the data is consistent.
Typical tools: your source-of-truth database, Sheets, n8n / Make, Claude or OpenAI, a dashboard layer.
08

Internal knowledge assistants

The pain
The answers your team needs are buried in docs, threads, and someone's memory — so the same questions get asked over and over.
What we build
An assistant connected to your business data and docs that answers questions in plain language and points to the source.
What stays human
Anything the assistant is unsure about escalates to a person rather than guessing.
What changes
Institutional knowledge becomes searchable, and new team members ramp faster without interrupting everyone else.
Typical tools: your docs / knowledge base, Claude or OpenAI, a retrieval layer, Slack or web chat.

Which of these is costing you the most right now?

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