At a glance
Sits above the stack. Your systems stay the systems of execution.
Context and decisions. Approved knowledge, documented logic, explainable recommendations.
Human Command. People approve what matters, enforced by approval tags.
01 · What the layer adds
Four capabilities a governed layer adds
Each one is documented, inspectable and designed to work with the systems customers already run.
Context
Company, customer and brand knowledge held in one governed place, with approved, candidate, stale and retired status on every item.
Decision logic
Documented rules for what to recommend and why, with an explainability note on each recommendation.
Measurement
Plan, Execute, Measure, Optimize as one loop, with evidence classed by strength before any budget decision.
Human Command
Strategy, budgets, audiences, brand-critical creative and regulated claims stay with people.
02 · Where it sits
Above the stack, not instead of it
Measurement and learning feed back into the inputs, closing the loop.
Inputs
Business context, customer and performance data, brand rules, objectives and operating constraints.
mAI Intelligence Layer
Context, decision logic, orchestration, governance and accountable human oversight.
Systems and outputs
CRM, analytics, advertising, content, email and reporting remain the systems of execution.
03 · Ways to explore fit
We start from your roadmap and your customer’s problem
There is no fixed package. The right shape depends on where your product and your customers need governed intelligence most.
Embedded intelligence
Governed recommendations inside your product experience.
Integration
Connecting the mAI layer to your data, workflows and approval paths.
Licensing
Reusable framework components under a defined scope.
Co-development
Working through a specific product problem together.
Governance by design. Evidence classes, claim review gates and approval records are part of the framework. Read the methodology or see how an mAI model is built.
Bring the product problem
A useful first conversation covers your roadmap, the customer problem, your governance requirements and the outcome you want to measure.
Human-led intelligence. AI-powered precision.
Also see mAI for: Enterprise · Growth teams · Agencies and integrators · The Proof Sprint
