Founder-led AI delivery · Toronto

Grow whatyour team can do.

Practical AI pilots to help your business pursue more opportunities, serve customers, and reduce repetitive work.

One focused workflow, typically around CAD $10,000.Fixed scope and price agreed before starting.

Where we can help

More room for the work that matters.

New capabilities can open opportunities. A better existing process can free capacity. We help you choose a first workflow with a useful result and a practical way to measure it.

Handle more quote requests

Turn one type of enquiry into a checked draft quote. Measure suitable requests handled, turnaround, and pricing accuracy.

Pursue suitable bids

Screen opportunities and prepare a recurring response type. Measure bids your team can support, with checks for fit and factual accuracy.

Reduce repetitive processing

Extract, check, and route orders or documents. Compare time per case, errors, and reviewer effort with the current process.

Help buyers explore your offering

A tailored guide or interactive demo could be a useful first experiment. Measure buyer tasks or qualified enquiries before tracking longer-term conversion.

Efficiency workflows often make the clearest first pilots: they have a baseline and enough activity to compare. Saved time does not automatically become revenue. We discuss how your team could use the capacity and track the right result.

Selected evidence

Useful capacity, built on real work.

These client projects improved existing workflows. The results show processing time and capacity returned to the team; they are not claims of a measured revenue increase.

Founder-led delivery

Work directly with Greg.

Greg personally leads discovery and delivery. Each engagement has a defined scope and a confirmed start date. Any additional specialist support is identified and scoped before we commit.

Your team provides a process owner, representative examples, and time to review the output. We agree that participation and the operating boundary upfront.

Meet Greg ↗

Know what you are committing to.

The proposal sets the acceptance tests, review window, and correction terms. If an in-scope deliverable misses those tests, we address it within the agreed remediation terms.

A limited production launch is included only where specifically scoped. Complex integrations, wider rollout, hosting, and ongoing support are separately agreed.

Download the one-page overview (PDF) ↗

Larger engagements

More teams or systems involved?

Enterprise discovery, complex workflow pilots, and fractional AI leadership remain available. We scope the work around your operating requirements and internal review process.

Explore larger engagements ↗

Before we talk

Can we start with an efficiency improvement?

Yes. A repetitive process with a clear baseline often makes an excellent pilot. Measure turnaround, time per case, or accuracy first, then decide how the capacity can support better service or growth.

Do we need a paid assessment first?

Usually not. We start with the free fit call. If access, data, or system uncertainty needs separate investigation, we explain the optional assessment and its scope before you commit.

What happens after the pilot?

You review the evidence before deciding whether to expand. The pilot includes documentation and a walkthrough; any larger rollout and ongoing support have their own scope.

Buyer guides

Useful context before the first meeting.

Practical notes for buyers, plus the model and agent research we maintain for our own delivery work.

Start with the problem

What would you like your team to do more of?

Bring the opportunity or the repetitive work getting in the way. The free 45-minute fit call helps us judge whether a focused pilot is the right next step.