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The power of agents

What changes when agents do the work.

Two things are worth your time on this page: the opportunity AI puts in front of executives right now, and the system we have built to act on it.

The opportunity for executives

The question has moved.

Distilled from a 100-source scan across McKinsey, BCG, Anthropic, Microsoft and the Australian market. These are the field’s numbers, attributed — the findings specific to you and your team are what a diagnostic produces.

“As a board member, the number-one question to ask management is how much the CEO uses AI personally. If they don’t use AI in everything they do, how do you expect it to permeate the organisation?”Adam Driussi, Quantium — to the AICD
01

Belief is solved. Practice isn’t.

90% of executives believe AI can drive revenue growth — yet only 1% say it is fully integrated into how they work. The gap is not conviction; it is personal practice.

McKinsey Superagency, 2025
02

Leaders underestimate their own people threefold.

The C-suite estimates 4% of staff use gen AI for a third of their daily work. The real figure is 13% — a 3× gap that is both the commercial hook and the trigger to change.

McKinsey, Jan 2025
03

The leader is the multiplier.

When leaders visibly model AI, frontline positive sentiment rises from 15% to 55% — a 3.7× lift. Send one executive through this and a whole reporting line moves with them.

BCG, AI at Work 2025
04

Redesign beats adoption.

Rebuilding a workflow around AI yields 30–50% gains; bolting tools onto the old process yields 10–20%. Only ~21% of adopters have rebuilt anything — which is exactly where the value sits.

McKinsey State of AI; BCG AI Radar, 2025
05

Polish is a trap.

When AI hands over a polished answer, people are measurably less likely to question it — at the moment it is most often wrong. In a 758-person trial, work outside AI’s boundary fell 19 points. Knowing where AI is reliable in your domain is the table-stakes skill.

Anthropic Fluency Index 2026; HBS/BCG RCT
06

The top quartile is tiny, and outcome-defined.

Only ~6% of organisations credit AI with more than 5% of EBIT — and they earn about $10 per dollar invested, against a ~$3.70 average. Daily tool use without redesigned work does not qualify.

McKinsey State of AI, 2025
What we are building

The consulting agentic operating system.

qubit runs consulting work on an agentic OS: research harnesses that gather and rank evidence, analysis and drafting agents, and verification pipelines that trace every claim to its source. The run on the home page is not a marketing animation — it is that system, sanitised and replayed.

The same machinery produced the brief above: a tiered, 100-source scan, ranked and attributed, with the weaker claims flagged rather than buried. Every diagnostic we ship runs on it — which is why the page can be the credential. You are watching the product work, and checking its working.

More about the demo — six agents, one verified page
P1Intakestructures the brief and locks the archetype
P2Researchsources, ranks and rejects evidence by authority
P3Analystturns the evidence into an argument and a chart
P4Writer-designerdrafts the claims and lays out the page
P5Verifiertraces every claim back to its source

Nothing ships with an unverified claim. On the home-page run: 14 sources ranked, 3 claims, 0 unverified.