Agent operations, managed
Your whole team using AI. Not just your stars.
You pay for Claude. Two people use it. kapeesh runs the setup and the day-to-day so the rest of your team gets real value from it.
Built on Claude, by Anthropic. We run the setup — you don't.
- Sales
- CS
- Ops
- Marketing
- Finance
- New hire
talks in plain English
- picks the right skill
- loads your context
- routes to the right tool
- measures what worked
- Claude
- Slack
- Gmail
- Notion
- HubSpot
- Drive
no new tools to learn
- employees
- 10–200
- to rollout
- < 1 week
- less than an AI hire
- 5×
The model is the easy part. Operations are the hard part.
Your team doesn't need another chatbot. They need AI that already knows your ICP, your brand voice, your tools, and the three jobs they do every day. kapeesh builds that. We operate it. You watch it work.
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Pre-built for your business
Skills for the jobs your team actually does — sales follow-ups, account research, proposal drafts. Forked to your brand voice and your playbook on day one.
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One assistant, one playbook
Everyone on your team talks to the same assistant, grounded in the same context. New hire or ten-year veteran — same quality output.
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Reporting you can act on
See who's using AI, on what, and where it's saving time. No spreadsheets. No guessing. One link we send you every Monday.
One week from kickoff to the whole team shipping.
You don't install anything. You don't train anyone. We meet for a few hours across week one — then we run it.
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Day 0
60-minute kickoff
We map your team, your tools, and the top-three workflows to automate first. You leave the call with a fork plan — what we're building, in what order.
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Day 1–4
We fork, load, connect
We customize the skills to your brand voice, load your business context, and wire the tools your team already uses. You review a staging preview before it goes live.
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Day 5
Team rollout
One install link to your team. A 30-minute walkthrough. That's the training. People start using it the same afternoon.
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Week 2+
We operate
New skills on request. Context updates as your business changes. A weekly review. The dashboard is always live.
Every role. Same assistant. Different playbooks.
Pick a role. See what kapeesh does for them on day one.
One dashboard. See what's getting used, where it's saving time, where adoption is slipping. No standups needed.
How did AI usage shift this week?
- Sales up 42% — mostly call-prep and outreach.
- CS flat — worth checking with Priya.
- 3 new skills ran past 10 invocations each.
Account research, call prep, personalized outreach, follow-up drafts. All grounded in your ICP and your playbook.
Prep me for the Acme call at 3.
- Decision maker: Dana (VP Ops). Two past threads.
- Hot signals: hired 4 this quarter, posting on AI.
- Open with the ops-efficiency angle, not the cost one.
Call summaries with next steps. Renewal briefs that pull the right account signals. Drafted responses that sound like you.
Renewal brief for Meridian.
- Health: green. NPS 9. Usage +18% QoQ.
- Risk: main champion moved teams. New POC is Alex.
- Ask: reference call — they're overdue to be asked.
Brand-voice-checked copy. Case-study skeletons from call transcripts. LinkedIn drafts that don't sound like a robot.
Draft a LinkedIn post from the Acme case study.
- Hook: the 2-hour process that now takes 9 minutes.
- Stays in your voice — no em-dash salad, no buzzwords.
- Ends with the question you actually want replies to.
Repeating work captured as skills. Standard operating procedures that execute, not just document.
Turn yesterday's onboarding checklist into a skill.
- 8 steps captured, 3 of them wired to Gmail + Notion.
- Next time anyone runs /onboard-client, it just works.
- You'll see it in the dashboard under ops/playbooks.
Day one, they have the same assistant your ten-year veteran has. Same context, same instructions, same output quality.
I'm new — how do I qualify an inbound lead?
- Here's the 4-question qualification our team uses.
- I'll fill in what I can from the company domain.
- You decide the call/no-call — I'll draft either email.
From design partners we're working with right now.
Logos and full case studies go here once partners approve.
We went from two people using Claude to the whole sales team leaning on it for every call prep. The shift happened in a week, not a quarter.
I don't have an engineer. I don't want to hire an AI ops person. kapeesh is the part I was missing.
What people ask on the first call.
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Do I need an engineer?
No. We handle the fork, the setup, the connectors, and the ongoing changes. You and your team only need to use the assistant inside Claude.
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What does my team have to install?
One plugin inside Claude, from a link we send you. No local tools. No new apps to learn.
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How is this different from hiring an AI consultant?
Consultants set it up once and leave. We operate it continuously. New skills, new context, new connectors — version-controlled and rolled out to your team.
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What does it cost?
Flat monthly price, scaled to headcount. Roughly a fifth of what a dedicated AI ops hire would cost. Exact pricing on the call.
Ready
Your team should be using AI by next week.
A 20-minute call is enough to know if we're a fit. No slide deck — we look at your actual workflows and come back with the three skills we'd build first.
We reply within one business day with three proposed times.