mue

Pricing and engagement model

Mue Agency does not sell fixed packages. Every engagement is scoped to your firm, your constraints, and your capacity for change. This page explains how we think about pricing and what an engagement looks like.

Not sure if Mue is right for you?

Take our two-minute scoping questionnaire to understand which capabilities are relevant to your firm before starting a conversation.

Take the questionnaire

The value proposition

What you get from Mue is an AI-native web presence that governs itself. Agents audit your site against published constraints, file tasks when violations occur, and ship fixes without manual intervention. The methodology running on agent.mue.app is the same methodology we apply to client work.

This is not a one-time build. It is an ongoing operational model. Your site stays current, compliant, and coherent because agents are watching it continuously.

Measuring return on investment

Autonomous governance replaces recurring manual costs with agent-driven operations. The value comes from two sources: time savings and cost reduction.

Time savings methodology

We calculate time savings by comparing manual intervention hours avoided to a baseline of what similar work would require without autonomous governance:

Time saved = Baseline hours - Current review hours

The baseline comes from client interviews and timesheets during the scoping phase. The current review time is tracked during the engagement itself.

Cost savings methodology

We calculate cost savings by comparing the engagement cost to the cost of equivalent manual operations:

Monthly cost savings = Baseline monthly cost - Engagement monthly cost

ROI = (Baseline cost - Engagement cost) / Engagement cost

The baseline cost includes what the organization spent (or would spend) on manual web operations: internal staff time valued at loaded hourly rate, external agency or contractor fees, or both.

What we track

These metrics are observable in the audit log, task board, activity feed, and decision log. They are system-generated counts, not estimates.

See the full ROI framework for detailed calculation examples and verification methods.

How we engage

Discovery and scoping

We start with a conversation about your firm: what you do, who your clients are, what your web presence needs to accomplish, and what constraints matter to you (regulatory, brand, operational). From this, we define a constraint set and a roadmap.

Initial build

We construct your site and configure the agent infrastructure: auditor, task board, developer runner. The initial build includes publishing your constraint set and establishing the self-governance loop.

Ongoing governance

After launch, agents run on schedule. Audits happen weekly. Violations become tasks. Fixes ship automatically. You receive periodic reports on what changed and why. The site maintains itself; you focus on your clients.

Why no fixed packages

Fixed packages assume every firm has the same needs. They do not. A sole practitioner accountant has different constraints than a 20-person law firm. A firm that must comply with specific regulatory frameworks needs different auditing than one that does not.

By scoping each engagement individually, we ensure you pay for what you need and nothing you do not. The methodology scales up or down based on your complexity, not a predetermined tier.

What influences the quote

When we scope an engagement, we consider:

After the discovery conversation, we provide a clear quote with no hidden fees. The quote covers both the initial build and the ongoing governance model.

Get a quote

Ready to learn what constraint-driven AI operations would cost for your firm? Start with a conversation.

Request a quote

Related pages