Notes on the next wave

By most measures, AI has arrived. Stanford's 2026 AI Index found 88% of organisations used AI in at least one part of the business last year. Yet when Zensurance asked 1,000 Canadian small business owners in June, roughly a third said it had made little or no difference, and another quarter weren't sure how it applied to them at all.

Both things are true, and the gap between them is the most important fact in business technology right now. The models are extraordinary. What's missing is the last mile: redesigning a process around them, connecting them to the systems where work actually happens, and measuring whether anything improved.

A chatbot on a website is not an AI strategy. An intake process that runs itself is.

BDO Canada's 2026 productivity research found 45% of organisations are experimenting with AI without meaningful return. The Business Development Bank of Canada found SMEs that did adopt AI were 24% more productive, and estimates that bringing more firms up to the digital maturity of the best performers could unlock close to $350 billion. The difference between those two groups isn't access to technology. It's execution.

That's the work Konquar exists for: using technology to push human judgement forward. We find the handful of decisions and processes where it pays, rebuild them properly, and run them until the numbers prove it.

Sources: Zensurance via BNN Bloomberg · BDC · Wealth Professional on BDO Canada

For twenty years, being found meant ranking on a search page. That's changing. IBM's Institute for Business Value reported in January that 45% of consumers already use AI somewhere in their buying journey, and the payment networks are building the rails for AI agents to complete purchases on a customer's behalf. Mastercard reported its first agent-initiated transaction on its network last year.

When a customer asks an assistant to book a plumber, find a caterer for forty, or compare three mortgage brokers, the assistant will favour businesses it can understand: clear services, real prices, live availability and a way to book. Everyone else becomes invisible without ever knowing they lost the sale.

The storefront of the next decade is a set of answers a machine can trust.

Large retailers are already preparing. Most local and mid-sized businesses haven't started. That's why we're building Agent-Ready and Answer Presence: so the businesses we work with can be read, priced and booked by the assistants their customers are starting to use.

Sources: IBM Think · Digital Commerce 360 · McKinsey

The typical small-business AI project looks like this: a chatbot from one vendor, a scheduling tool from another, a CRM that half the team uses, and a spreadsheet holding it all together. Each tool works. Together, they don't learn anything, and nobody can say what any of it earned.

Gartner expects 40% of enterprise applications to include task-specific AI agents by the end of 2026, up from under 5% a year earlier. As agents multiply, the hard problems move from what one agent can do to how many agents share context, hand work to each other, respect approvals and prove their value.

A pile of clever tools is not a system. The value is in what connects them.

So every Konquar product, and every custom build, runs on one core: one stream of events, one map of your customers and operations, one approvals inbox and one Ledger. A customer won by Momentum is already known to Command. A pattern spotted in one business improves the playbook for the next. That's what lets a small company operate with the leverage of a large one.

Sources: Gartner