AI services for owner-led businesses
Three ways we put AI to work in your business, each starting with one job and a working result within weeks.
How we work
- One job first. Stage one is the job costing you the most, built for a fixed price and running on your own systems within weeks. If you stop there, it is yours to keep.
- A person approves every action. Drafts go to a named person on your team before anything is sent, saved or ordered. Human in the loop explains how that approval step works.
- Your data stays under your control. The platform is designed to keep each client’s data on its own server in Canada. You choose a model on that server or a hosted model under a written zero data retention agreement, and a hosted model may process requests outside Canada.
- The founder leads every project. Derik Lawlis leads every project and stays close to the build.
AI for your team
Your people using AI on their real work, with rules that keep company data safe.
- AI training on site, built on your own documents and systems.
- Claude and ChatGPT rollout: which seats to buy, which jobs to start with and which settings to change. See ChatGPT alternatives for business.
- An AI policy your team can follow, and the account settings that enforce it.
- An AI workspace on your own files, with private AI for business for the records that must stay in house.
Packaged as an offer: Claude rollout, with settings, a short policy, training on your own documents and a first project.
AI on your data
Your ERP, accounting system and spreadsheets already hold the answers. ThriveAI brings them into one database that belongs to your company, then builds the reports and decisions on top.
- Reports your ERP does not produce, on request, with the query and rows behind every number.
- Business intelligence and dashboards for a business without a data team.
- Margin by product, customer and channel, kept current from your own sales and costs.
- Prices tied to your costs and to the market, with price optimization on your quote history.
- Demand forecasts and stock levels for every item.
- Finance: the month-end close, cash forecasts and the financial model.
Packaged as offers: the AI reporting sprint, margin and pricing intelligence, and the first 100 days of AI in a business you just bought.
Systems that connect
The tools your team works in every day, connected so work moves without retyping.
- AI agents that draft routine work for a person to approve, and how one gets built.
- Connections to the ERP you run, including older on-premise systems with no API.
- Documents into data: orders and drawings and supplier invoices.
- MCP servers that let AI tools reach your systems safely.
Packaged as an offer: order desk automation, which drafts emailed purchase orders as ERP orders for a person to approve.
One workspace, many modules
Everything we build for you lands in one workspace: one database with your data and your definitions, and a chat that answers from it. Each packaged offer adds a module to it, so the second module starts from data the first one already cleaned. If you stop, what was built is yours.
The offers page lists each module and what its first four weeks deliver.
How the work starts
Stage one, prototype. We pick the one job costing you the most and build it, for a fixed price, in weeks. It runs on your own systems, and if you stop there it is yours to keep.
Stage two, capacity. This is the real build: the connections between the systems you already run, and the tools your team works in every day. It only happens if stage one earned it.
Stage three, compounding. Your systems keep changing and the models keep getting better, so we keep adding modules to the workspace that is already running. Each one makes the next one quicker.