AI consulting that gets actually used.

Three things. First, you work with a senior operator, not a sales lead and a junior team. Second, we build with your stack, not on top of it, so you do not end up locked into proprietary tools. Third, we leave you trained and self-sufficient. Most agencies are incentivized to keep you dependent. We are not.

That is exactly what the AI Assessment is for. A short, focused engagement where we audit your workflows and hand you a written plan. Many clients start there and only commit to a build after they see the map. If you have already identified the problem, we can scope a build directly from the first call.

Yes. Most of our work is Canada-based and grant-eligible, but we take on US and international clients regularly. Note that the grant funding programs we mention are Canadian-only.

We are stack-agnostic and pragmatic. Common foundations: OpenAI, Anthropic, and Google models. Common automation: Zapier, n8n, Make, plus custom code where it earns its place. We integrate with whatever you already use, including Notion, HubSpot, Slack, Shopify, Airtable, and custom databases. Our principle: use the boring, reliable thing first. Custom code is a last resort, not a default.

Seriously. We use enterprise-tier API access (no training on your data), build with your data residency requirements, and never store client data on our systems beyond the active engagement. For sensitive industries (legal, healthcare), we can structure the engagement to keep all data inside your environment. NDAs are standard. Custom DPAs available on request.

The Canadian Digital Adoption Program (CDAP) and BC Employer Training Grant (BCETG) can cover 50 to 80 percent of fees on qualifying engagements, up to roughly $15,000. We help identify the right program and structure the engagement to meet eligibility. We do not write the application, but we point you at the resources and structure scope to fit. Grants take 4 to 8 weeks to approve. If you are in a hurry, start the application before the kickoff call.

We work in milestones. If after the discovery phase we do not see a clear path to value, we tell you and refund the build deposit. We would rather lose the project than ship something that wastes your time. This has happened, twice. Both times the client came back later with a better-scoped problem.

Yes — all three. We are stack-agnostic on the model layer and pick whichever fits the use case. ChatGPT and Claude are our most common defaults for business automation; Gemini comes up when the work touches Google Workspace or YouTube data. Custom GPTs, Claude Projects, and OpenAI assistants all on the table. We will recommend the right model on the first call.

Yes — HubSpot, Salesforce, Pipedrive, Close, and most of the Canadian SMB CRMs are well-supported. Common builds: AI-summarized call notes pushed into the deal record, draft follow-up emails written into the activity feed, lead scoring against your ICP, and auto-populated custom fields. Two to three weeks, $3K to $6K range.

All three, plus a few others. Make.com is our default for customer-facing workflows that need branching logic. n8n is the right call when the client wants self-hosted automation or has a strong dev team. Zapier shines when the team needs to own and edit the workflow themselves long after we hand off. We pick the right tool for the build, not based on what we already know.

A $2,500 AI Readiness Assessment, or a $2,500 to $5,000 quick-win build. We do not have a minimum retainer — single-shot tactical work is welcome. Most quick wins ship in two to three weeks: custom GPTs, CRM automation, email triage, reporting dashboards. Bigger programs scale up from there but the entry point stays accessible.

Two to three weeks for a quick-win build (ChatGPT integration, CRM automation, email triage, reporting digest). Four to eight weeks for larger automation builds with multiple integrations. The first week is always discovery — we never skip it — but for tactical work the build phase moves fast because the scope is tight on purpose.