AI agents and AI automation, built and run
We find where AI pays off, build agents and automations inside your systems, and run them with a person in charge.
Scoped one workflow at a time, with a fixed-fee discovery agreed in writing.We run AI on our own help desk: 99.9% of client tickets AI-triaged, Jul–Oct 2026. How we measure
AI agents, AI automation and AI strategy from one Calgary team
AI agents that act in your systems
Software that reads your email, tickets or records, then sorts, drafts and matches. It hands over to a person when it is unsure.
First step: one narrow task, checked by your people.
AI automation, built and run
We build the workflow, connect it to the tools you already use, then monitor and maintain it.
First step: one repetitive job your team does every week.
AI strategy: where AI pays off first
We screen your workflows for opportunity and readiness, then rank them by value and risk, so you fund the right one first.
First step: the free AI Readiness Score.
Where AI pays off first: four jobs we have already built
Invoices and quote requests, read and matched
AI reads supplier invoices from a mailbox and matches them to the ledger. A second system reads quote requests and matches them to a catalogue of nearly 12,000 parts; a person confirms.
- Quote requests matched to partsClient work
Supplier invoices into the ledgerClient workTickets sorted, first-line answers drafted
Our own agents classify every ticket on arrival, draft first-line answers from our documentation for a technician to review, and hand over when confidence is low. The AI never replies to a customer.
- Every ticket classified on arrivalIn-house platform
A support agent that knows when to hand overIn-house platformWeekly updates written, business data you can ask
Our agent Leo drafts the weekly client update from live project data, and a person reviews it before it is sent. A client also commissioned us to connect their accounting system to AI assistants through an open standard.
- Accounting data for AI assistantsClient work · commissioned
Leo, the agent that writes the weekly updateIn-house platformA company AI assistant that stays inside your cloud
We deployed a private AI chat platform in a client's own cloud tenant, behind their own sign-in. Access follows the staff directory, and several model providers sit behind one screen.
A private AI assistant for staffClient workAI agents you can check, with a person in charge
- A person decidesBy default, a person checks anything that touches customers, money or records.
- Shadow mode firstNew agents draft and log without sending until we have reviewed their work.
- Scored, not assertedWe test accuracy on a held-out set, so changes are judged, not guessed.
- Your data, your tenantDeploy in your own cloud account or on your servers, behind your sign-in.
AI strategy and implementation in four steps, one workflow first
- Score or callScreen one workflow with the free AI Readiness Score, or book a call.
- DiscoverWe map the workflow, the systems and the data, then scope the work.
- PilotOne narrow agent or automation, reviewed by your people before it acts alone.
- RunWe monitor, fix and extend it, and check it against what we agreed.
Free AI Readiness Score
You get a grade, separate opportunity and execution scores, and a route: AI-assisted, hybrid, deterministic automation or human-led.
- Free
- 7–10 minutes
- One workflow
You see the result before you share any contact details.
AI agent pricing: scoped after a short discovery
AI work varies too much for one number on a page. The 30-minute call is free. Discovery is a fixed fee, agreed in writing, and ends with a first milestone and a price before building starts. You own what we build for you.
What shapes the scope
- Systems we connect to
- State of your data
- Volume
- Who approves what
- Where it runs
Automation follows fixed steps. An agent reads something unstructured, such as an email, a ticket or an invoice, and decides what to do within limits you set. Many jobs need both, and some need only plain automation.
It depends on the scope. The 30-minute call is free, and discovery is a fixed fee agreed in writing. We then agree a first milestone, the scope and the price in writing before building starts.
No. We give your people tools they direct. Your accountant reviews what an AI drafts and decides what goes ahead. The person stays accountable.
It will, so we design for it. By default a person checks anything that touches customers, money or records, and we fix the cause, not just the output.
Where your data lives is agreed before we build anything. We can deploy in your own cloud account or on your servers, and use your security protocols.
That is how we prefer to start: one problem, an agreed scope, and you decide whether to expand once you have seen it work.
AI projects often fail because the scope was too big or nobody owned the result. We start small, check the result with you, then decide the next step. Sometimes we tell you a goal needs building in steps.
No. The agents we run use models from several providers, and we can run two side by side to compare. We pick the model for the job, and can use your own API accounts.
Yes. We are based in Calgary and do AI work remotely for organisations across Canada. Phone us on (403) 245-9429.
Ready to see where AI would pay off in your business?
In 30 minutes we will look at one workflow and what a first step would involve.