Where do I start with AI for my business?

Start with the smallest problem AI can solve in two weeks. Common starting points include automating appointment reminders, generating invoices from job notes, or pre-filling forms from emails. We help you find that first win in a 30-minute conversation — no slide decks, no jargon. From there we map either a focused pilot or a longer engagement based on what fits your team and budget. The goal is a working tool you can use, not a strategy document that sits in a drawer.

Do I need a full-time AI hire or a fractional advisor?

For most small and mid-sized businesses, fractional almost always wins for the first 6–18 months. You get a senior partner without the $250K+ headcount cost of a full-time AI hire. A fractional advisor brings cross-industry experience, works on specific outcomes rather than open-ended projects, and scales up or down as your needs change. Hire full-time once you have a clear, recurring AI workload — not before. Most of our clients start fractional and only consider a full-time hire after 12+ months of proven ROI.

What does 'vendor-neutral' actually mean?

We don't have revenue share deals with Salesforce, HubSpot, model providers, or any tooling vendor. The tool we recommend is the one that fits your team — not the one that pays us. You'll always see the pros and cons of each option in writing before we proceed. In practice, this means we sometimes recommend free or open-source tools over expensive enterprise software, and we'll tell you when a $20/month tool does the job better than a $2,000/month platform.

What's the difference between an AI agency and an AI advisor?

Agencies sell execution — they build what you ask for. Advisors challenge what you're asking for first. We do both: we challenge the assumption, then build the smallest useful thing, then hand it over so you can run it without us. The key difference is accountability to outcomes rather than deliverables. An agency might build you a chatbot because you asked for one; an advisor asks why you want a chatbot and might discover that automating your intake form saves more time at a fraction of the cost.

I'm not a tech person — can I still work with you?

Yes — most of our clients aren't. You don't need to know anything about AI before working with us. We meet you where you are, explain what's worth doing in plain language, and handle the technical setup. Your job is to know your business; ours is to translate that into the right tools. We work with trades contractors, medical clinic managers, and professional services partners who have never written a line of code — and they end up running their own AI tools independently within weeks.

How long until I see a result?

For most engagements, the first useful tool ships in 2–4 weeks. We start with the smallest problem AI can solve quickly — so you see value before committing to a larger program. A typical first sprint might deliver an automated quote generator, a smart intake form, or a custom dashboard that replaces a manual spreadsheet process. Bigger initiatives roll out in phases, with each phase delivering something you can use immediately.

What does an AI consultant do for a small business?

An AI consultant helps a small business identify which tasks are worth automating, selects the right tools, handles the technical setup, and trains the team to use them independently. At Laroma, that typically means cutting 5–10 admin hours per week, improving customer response times, and reducing software licensing costs — without requiring the business owner to become technical. Common projects include automating scheduling and reminders, building custom internal apps to replace expensive SaaS subscriptions, and setting up AI-assisted document generation.

How much does AI consulting cost for a small business in Canada?

Most of our engagements run in focused 2–4 week sprints with a la carte pricing — you pay for a specific outcome, not an open-ended retainer. This structure means you know the cost before we start, and you get a working tool at the end of each sprint. Costs vary based on complexity, but we deliberately scope projects so that small businesses see positive ROI within the first engagement. Book a free 30-minute call and we'll give you a straight answer based on your actual situation.

What is the ROI of AI for small businesses?

ROI depends on where you start, but results are often dramatic for small teams. A construction client reduced software licensing from $1,200/month to $12/month — a 99% reduction — by replacing an off-the-shelf platform with a custom AI-powered internal app built in two weeks. Other clients save 5–10 admin hours per week by automating data entry, follow-ups, and report generation. We focus on the smallest change that delivers a measurable result, so ROI is visible before you commit to a larger program.

Is AI consulting worth it for a business with under 50 employees?

Often more worth it than for large enterprises. Small teams feel admin bottlenecks more acutely — one person spending 10 hours a week on manual data entry represents a much larger percentage of capacity than at a 500-person company. A single well-placed automation can free up a significant portion of someone's week. You don't need a large budget or a technical team — you need a clear problem and someone who can build the right tool without over-engineering it.

What AI tools are best for small businesses in Canada?

It depends on the use case. For CRM, HubSpot works well for marketing-led businesses while Salesforce suits complex sales processes. For internal workflows and automation, Make.com or n8n paired with a language model like Claude or GPT-4 handles most repetitive tasks at low cost. For document generation, custom apps using AI APIs often replace expensive per-seat software. We're vendor-neutral — we recommend what fits your workflow, not what has the best affiliate payout. The best tool is the one your team will actually use.

Do you work with businesses outside of Vancouver?

Yes — most of our work is done remotely. We're based in North Vancouver, BC, but serve clients across Canada. Discovery, planning, and delivery are all conducted over video. If you're in Metro Vancouver — North Vancouver, West Vancouver, Vancouver, Burnaby, or Richmond — we can also meet in person. The same process works regardless of location: we listen, plan, build, and train your team to run the tools independently.

Salesforce vs HubSpot — which should I use?

Neither, until we look at how your team actually works. Salesforce is powerful but heavy — it requires dedicated admin time and can cost $75–300 per user per month. HubSpot is simpler and has a generous free tier, but becomes constrained as you grow past basic use cases. We map your team's workflow first, then pick a stack that fits — not the other way around. Sometimes the answer is neither: a lightweight custom app built with AI can handle what you actually need at a fraction of the cost.

Claude Cowork vs OpenClaw vs Hermes: Which AI Agent Is Right for Your Small Business?

Published June 10, 2026

Claude Cowork, OpenClaw, and Hermes Agent all promise AI that does tasks — not just answers questions. But they are not the same kind of tool. Cowork is a polished desktop product from Anthropic for office work. OpenClaw and Hermes are open-source agents you run yourself, reachable from WhatsApp, Slack, and other chat apps. Here is a plain-language guide to what each one solves, when to pick it, and what skill level you need — written for small business owners, not developers.

#1
Claude Cowork — easiest start for desktop knowledge work
Best for: Owners and office staff who want help with files, reports, and everyday business apps — without servers, command lines, or coding.
Pros
- Purpose: finishes multi-step admin — month-end summaries, invoice follow-ups, organized folders, draft reports — and saves real files to a folder you choose
- Claude for Small Business plugin adds one-click connectors to QuickBooks, PayPal, HubSpot, Canva, DocuSign, Google Workspace, and Microsoft 365
- Human-in-the-loop: you approve before anything sends, posts, or pays
- Technical skill required: low — comfortable with a desktop app and reviewing outputs before they go out
- Example — construction finance: connect QuickBooks, draft a bank reconciliation summary, flag mismatches for your review
- Example — school or event ops: pull volunteer lists from Google Workspace and produce a run-of-show document from scattered notes
- Example — property management: summarize maintenance requests and draft owner update letters from email and PDF records
Cons
- Not ideal for 24/7 mobile-first automation via WhatsApp or Telegram
- Requires a Claude paid subscription through the desktop app — not self-hosted
- Deep custom integrations beyond Anthropic's connector list may need OpenClaw, Hermes, or a custom build
Laroma AI example
Cowork fits clients who live in QuickBooks and Google Workspace and want month-end or invoice workflows without a custom build sprint — similar outcomes to Paraffin Constructions' bank reconciliation app, but through Anthropic's ready-made connectors
View case study: Bank Reconciliation for Construction Firms
#2
OpenClaw — flexible, always-on agent you control
Best for: Business owners (or a tech-savvy employee) who want an AI assistant on messaging apps that can act on files, the web, email, and APIs — running on your computer or a small cloud server.
Pros
- Purpose: open-source personal AI that runs 24/7 — read and write files, browse websites, send email, hit APIs, and run on a schedule without you prompting it
- Reach it from WhatsApp, Telegram, Slack, Discord, Signal, and more — control from your phone while it works on a server
- You choose the AI model (Claude, GPT, Gemini, or local) and own the setup — free software, pay only for hosting and API usage
- Technical skill required: medium to high for setup; low to medium day-to-day once running — often set up once by a consultant, then used via chat
- Example — field trades: from Telegram, summarize today's job-site photos and draft the client update email
- Example — e-commerce side hustle: scheduled check on inventory spreadsheet, Slack alert when stock is low
- Example — neighbourhood micro-business: track jobs and payments in a shared folder via WhatsApp commands
Cons
- Initial setup uses the terminal — not turnkey like Cowork
- You maintain updates, API keys, and server security if hosted on a VPS
- No official QuickBooks or HubSpot connectors — you wire integrations via skills and plugins
Laroma AI example
OpenClaw fits when a workflow is unique or always-on — like a kids' neighbourhood business tracking jobs via chat, or field alerts for a trades team — usually with Laroma or a technical partner handling the first install
View case study: Kids' Neighbourhood Business Android App
#3
Hermes Agent — memory and scheduled automation that improves over time
Best for: Businesses that need an agent to remember context across weeks, run scheduled jobs unattended, and save successful workflows as reusable skills — on infrastructure you control.
Pros
- Purpose: persistent memory plus self-improving skills — when Hermes completes a workflow, it saves the procedure so the next run is faster
- Built-in cron scheduler delivers daily reports, weekly audits, and morning briefings to Telegram, Slack, or WhatsApp without you asking
- Sub-agents handle parallel work — useful when one summary must pull from multiple locations or inboxes
- Technical skill required: medium to high — similar to OpenClaw; one-command install, but VPS hosting needs basic server maintenance and memory backups
- Example — lead-heavy service business: every morning, scan inquiry emails, score leads, post a prioritized list to Slack
- Example — bookkeeping-heavy ops: weekly cron reconciles CSV exports and delivers an exceptions report before month-end
- Example — growing team: agent remembers your SOPs as skills — new hires ask how to process a refund and get your actual process
Cons
- Not the fastest path to a first result — Cowork wins if you need something working this afternoon
- Self-hosting means you own backups of agent memory — losing ~/.hermes is painful
- Managed hosts exist, but add cost if you want to avoid server maintenance entirely
Laroma AI example
Hermes fits repetitive, business-specific automation that should compound over time — when a custom portal on Replit or Vercel handles the data, Hermes can run the scheduled monitoring and alerts around it
View case study: School Event & Kitchen Operations Portal

Start with the problem, not the product. Pick Claude Cowork if you are non-technical and work mostly at a desk with QuickBooks, Google, or Microsoft tools. Pick OpenClaw if you want maximum flexibility and messaging-first control on infrastructure you own. Pick Hermes if scheduled autonomous runs and long-term memory matter more than a polished desktop UI. Many businesses use Cowork for finance and document work, and OpenClaw or Hermes for field alerts and overnight monitoring. Laroma AI helps you choose — then builds custom tools on Replit, Emergent, Vercel, Supabase, and Claude when no off-the-shelf agent covers your exact workflow.

View all case studies

Claude Cowork vs OpenClaw vs Hermes: Which AI Agent Is Right for Your Small Business?

Claude Cowork — easiest start for desktop knowledge work

Pros

Cons

OpenClaw — flexible, always-on agent you control

Pros

Cons

Hermes Agent — memory and scheduled automation that improves over time

Pros

Cons