Production AI isn't a chatbot bolted onto a homepage. It's agents that close tickets, copilots that draft quotes, pipelines that extract structure from mess — woven into your actual systems, with proper guardrails, evaluations and cost controls. Or an always-on OpenClaw assistant that lives in your WhatsApp or Slack and quietly gets your team's daily chores done.
[ AGENT ] Idle. Ready to receive request. [ AGENT ] Model: claude-opus-4.7 | Tools: 12 | Guardrails: on
Autonomous assistants that plan, use tools and complete multi-step work — not just chat.
Native intelligence inside the apps your users already use. We embed, don't graft.
Replace fragile manual chains with resilient AI pipelines that observe, retry and recover.
The boring-but-vital glue: guardrails, observability, evals, cost and model-routing.
◆ This is a simplified reference — your actual system will be lighter or heavier depending on scale, risk and domain. We build what you need, not what looks impressive on a slide.
Route, resolve or escalate — agents that close 40–60% of routine tickets with your tone.
Draft emails, log calls, enrich leads, summarise deal rooms — right inside Salesforce / Zoho.
Extract structured data from invoices, contracts, compliance docs — with source citations.
Company-wide Q&A over wikis, tickets, Slack — grounded, cited, updated daily.
In-app AI shopping assistants that understand inventory, policy, and your brand voice.
Content moderation, policy checks, risk scoring — across text, audio and images.
OpenClaw is an open-source personal AI assistant that runs on your own machine or server and talks to you where you already are — WhatsApp, Telegram, Slack, Microsoft Teams, Discord, iMessage, Signal or Google Chat. It reads your inbox, manages your calendar, fills forms in a browser, runs on a schedule and remembers how you like things done. We deploy it, harden it and teach it your team's work.
No new app to learn. Message your assistant from the chat you already have open — and it answers, acts and reports back in the same thread.
A single gateway on a laptop, a Mac mini in the office or a small VPS. Your mail, files and memory never pass through a vendor's cloud — only the model call does, to the provider you choose.
Skills teach it repeatable procedures; plugins connect it to real tools. Thousands exist on ClawHub — and we write custom ones for your CRM, ERP or internal APIs.
Cron-style automations and heartbeats run routines while you sleep — briefs, nudges, digests. Persistent memory keeps your preferences, contacts and context across every conversation.
Every line below is something you can type — or voice-note — into a chat. Reads happen freely; anything that sends, deletes or pays waits for your ✓.
Your VPS, office Mac or on-prem box. Allowlisted senders only, tool allow-lists, read-only defaults, secrets in the keychain, the workspace in a private git repo.
The chat channels your team uses, then the tools — Google Workspace, Microsoft 365, your CRM, GitHub, the browser — through proper OAuth, with the scopes you sign off.
Per-team skills and operating rules written down where the agent reads them. Confirmation gates on anything that sends, deletes or pays. Your tone, your templates, your exceptions.
Automations on a schedule, logs you can read, the model chosen for the job and the bill, and a monthly tune-up as the team finds new things to hand over.
◆ OpenClaw is an independent open-source project (MIT, stewarded by the OpenClaw Foundation). Techmixin is not affiliated with the Foundation — we deploy, configure and extend OpenClaw for our clients. App and product names belong to their owners.
Every agent & pipeline ships with a golden dataset and a regression-test harness. If model performance drops, we see it before your users do.
Safety, tone, factuality, PII — checked before every response reaches a user. Silent failure is the worst failure.
High-risk actions route to humans. Low-risk actions are monitored. No one at Techmixin ships "fire and forget" agents.
We abstract the model layer from the product layer. When a better model ships next quarter, you swap a config — not a system.
Tokens, caches, model-routing, batch jobs — we treat the OpenAI / Anthropic bill like AWS in 2012: with respect.
We use providers with data-retention controls. We avoid training on your data by default. Everything is documented in the DPA.
Tell us about it. We'll respond within 24 hours with a realistic take — whether AI will actually help, what it'll cost, and the smallest useful thing we could ship first — often a one-team OpenClaw pilot, live within a week.