datahem.ai
AI FOR SMALL & MID-SIZED BUSINESS

Get your business AI-ready in thirty days.

You don't need a platform team to use AI well. We pick three workflows your team is already losing hours to, configure the right assistants for each role, and hand it back to you running — measured, audited, and yours.

Built for owners and operators at companies of 5–500. No new platform to learn. No long procurement cycle. Tools that fit how your team already works.

Book a 30-min Discovery CallSee the tool stack
GETTING ACCLIMATED

Three steps. No new platform.

Most small businesses don't need an AI strategy. They need three workflows that quietly stop costing them hours. We start there.

  1. 01

    Get acclimated

    Start where your team already works. We pick three high-friction tasks — invoicing, scheduling, customer follow-up — and prove out AI inside the tools you already pay for. No new platform to learn.

    Outcome

    AI inside email, docs, and spreadsheets — used by everyone in week one.

  2. 02

    Configure the right tools

    We pair the right AI assistant to each role. Sales gets one assistant; operations gets another; founders get a research and writing copilot. Tools that fit the work, not the other way around.

    Outcome

    A tool stack mapped to your team's actual jobs to be done.

  3. 03

    Automate what repeats

    We connect the assistants to your data, queue up the repeat work — quotes, intake, reporting — and you get back the hours your team was spending on copy-paste. Always with a human review step where it matters.

    Outcome

    10–20 hours back per employee per month, measured.

THE STACK WE CONFIGURE

Five assistants. One job each.

No single AI tool is good at everything. We configure the right one for each role on your team — drafting, doing, deciding, reading, researching — and wire them together so they don't trip over each other.

Knowledge-Work Autopilot

Claude Cowork

An AI teammate that works on your desktop, with your files.

Anthropic's agentic Claude that runs on your desktop and operates on the folders you grant it access to. It plans the task, executes it across your local files and apps, and checks in before anything consequential — so research, document organization, and recurring reports get done without prompt-by-prompt babysitting.

How it helps

  • Organize, rename, and tag files and folders by content
  • Extract structured data from contracts, invoices, and PDFs
  • Schedule recurring tasks like weekly metrics or daily digests

Chat-Native Automation

OpenClaw

An open-source AI assistant you talk to from your messaging apps.

An open-source agent framework that runs on your own machine and connects to the chat apps your team already uses — WhatsApp, Telegram, Slack, iMessage, Signal. You text it; it controls your browser, files, and scripts to get the work done. Self-hostable, MIT-licensed, no vendor lock-in.

How it helps

  • Run admin work from a chat thread without opening another app
  • Keep your own data on your own hardware — no SaaS round-trip
  • Plug in any model you prefer (Claude, GPT, or a local model)

Server-Side Agent

Hermes

An autonomous agent that lives on your server and gets sharper with use.

Nous Research's open-source agent. It runs continuously on a server you control, builds persistent memory across sessions, and orchestrates specialist sub-agents through dependency-aware workflows. The agent that learns your business over months, instead of starting from scratch each chat.

How it helps

  • Run multi-step workflows that span days or weeks
  • Compose specialized agents (sales, support, ops) into one pipeline
  • Keep institutional knowledge in an asset you own, not a chat history

Safer OpenClaw

NemoClaw

OpenClaw with NVIDIA's safety net wrapped around it.

NVIDIA's reference stack for running OpenClaw safely. Adds sandboxed execution (Landlock, seccomp, network namespaces), policy-based privacy guardrails, and routed inference between local Nemotron models and frontier cloud models — so an always-on agent doesn't become an always-on liability.

How it helps

  • Run an always-on assistant without exposing your machine
  • Set policy guardrails for what data the agent may touch
  • Route sensitive prompts to a local model, the rest to the cloud

Agentic Browser

Perplexity Computer

Your browser, doing the browsing for you — with citations.

Perplexity's agent inside the Comet browser. It takes full control of a browsing session to complete multi-step tasks across logged-in apps — research, sales prep, supplier sourcing, drafting — and every claim ships with a source. Available on Mac, Windows, iOS, and Android.

How it helps

  • Build cited sales-call briefs and competitor scans in minutes
  • Source and qualify suppliers, partners, and hires from the live web
  • Run logged-in workflows (filings, bookings) without scripting
WHAT TO EXPECT

Real numbers, on real workflows.

No grand transformation. Three picked workflows, measured before and after. If we don't free up real hours in the first sixty days, we say so.

Per employee, per month

10–20 hrs

Hours given back to your team within the first 60 days.

Before you scale

3 wins

We prove it on three workflows before recommending more.

From kickoff to live

30 days

Most SMB pilots are running in production inside a month.

START THE CONVERSATION

Pick three workflows. We'll cover the rest.

A 30-minute discovery call to identify the highest-leverage spots for AI in your business — and what we'd configure first. No deck, no pressure.

30-minute discovery call

Bring two or three repeat tasks that cost your team time. We'll walk through which assistant fits each, what it costs to run, and what the first thirty days look like.

For sensitive material, email info@datahem.ai.

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