Beam 01
Value
The business outcome the work is meant to move — modeled up front, tracked through delivery.
RETURN ON INTELLIGENCE
Return on Intelligence is how we decide whether AI work is worth doing — and whether it is on track once it starts. We model it before build begins.
If the number isn't there, we say so. If it is, we work to it — with fixed-fee, fixed-scope, fixed-timeline delivery so the economics stay honest all the way through.
Weaver is a joint venture between TQuila and You.com. The operating context for how this measure gets applied is on the About page.
THE SIX BEAMS
Six beams decide whether AI work is paying its way. Each has a modeled expectation before the work starts and an actual reading after it ships.
Beam 01
The business outcome the work is meant to move — modeled up front, tracked through delivery.
Beam 02
Total cost of ownership across model, infrastructure, integration, and change. Fixed fee at the point of signature.
Beam 03
Governance treated as production infrastructure. Auditability, controls, and safeguards built into the system, not bolted on after.
Beam 04
Latency, accuracy, and reliability at the levels the business runs at — not the levels a pilot tolerates.
Beam 05
Systems and agents that share context across workflows and platforms, rather than islands that each hold a fragment of the picture.
Beam 06
People able to direct, question, and improve the work of the systems around them — with the skills and tools to do it.
THE AI MATURITY CURVE
The AI Maturity Curve places an organization on four levels across five dimensions — showing exactly where ROI is locked and what unlocks it.
The five dimensions
Level 1
Individuals use AI tools on their own. There is no shared standard, limited visibility, and skills gaps across the organization. Value is anecdotal and risk is uncounted.
Level 2
Teams ship contained use cases. Wins are real but isolated. Nothing carries across the organization because the operating model, cost model, and governance have not caught up with the technology.
Level 3
AI is delivered with total-cost-of-ownership discipline. Governance runs as production infrastructure — controls, evaluation, and lifecycle management sit inside the system. Delivery is repeatable, measurable, and defensible.
Level 4
Multi-agent orchestration runs across platforms. The workforce orchestrates intelligence rather than executes tasks. Systems compose, share context, and act — with people setting direction, judgment, and constraints.
WHERE TO START
The AI Assessment builds your Return on Intelligence model in two to three weeks. Fixed fee. No obligation. If the number isn't there, we say so.
Start an AI Assessment→