Will this replace my staff?

No. The AI layer handles repetitive and data-heavy tasks, freeing your team to focus on work that needs a person. Most clients keep their staff and shift them to higher-value work.

How does revenue-share pricing work?

You pay a base fee plus a percentage of revenue directly tied to the AI's work. This aligns cost with real business outcomes and avoids overpaying for unused hours.

Can you connect to our existing systems?

Yes. We build custom integrations to your inboxes, accounting software, and other tools. This is not an off-the-shelf product; it is tailored to your stack.

What does the process look like to get started?

We start with a Process Automation Audit. We map your current workflows, identify automation opportunities, and show you what an AI layer would look like for your business.

AI Ends Fixed Retainers for Agencies

Agencies are shifting to revenue share, not fixed monthly fees

AI has cut the cost of producing marketing and process work. Agencies are moving away from fixed retainers and toward outcome-based pricing. If you still run your process by hand, this shift will hit your bottom line soon.

AI drops production cost

Revenue share becomes standard

Clients demand price changes

What changed

Agencies are moving away from fixed monthly retainers because AI has made production cheaper and faster. According to Viet Nam News and Media OutReach Newswire, 27% of agencies have already faced client requests to cut prices, and about half expect this pressure soon. The new model is a base fee plus a percentage of revenue attributed directly to agency work.

This is not just a trend. Agencies are reporting that AI has a positive effect on revenue, with 65% seeing gains, and many are building new AI-driven revenue streams. Touchmkt's live SMB pricing now uses a 5-9% revenue share on attributed sales. The industry is admitting that fixed retainers no longer reflect the real value or cost.

For operators, this means you will hear new pricing language from every agency you work with. The market is catching up to what we have built since day one: pricing tied to outcomes, not hours or outputs. If your process is still manual, you risk paying for a model that no longer matches how the work gets done.

What it costs to wait

If you keep running your process by hand, you are paying for time and effort that AI can now deliver at a fraction of the cost. Agencies and vendors will soon expect to be paid based on results, not the hours spent. If you do not adapt, you will either overpay or get left behind when vendors refuse to work on old terms.

Manual workflows also mean slower turnaround and more errors. When your competitors switch to AI-driven systems, they will get more done with less staff and respond to market changes faster. Waiting means you pay more and risk falling behind on both cost and speed.

We built a Command Center for LifeGuides

LifeGuides had knowledge scattered across inboxes, call recordings, contracts, and browser tabs. We built a Command Center: one screen over six AI rooms and a company brain trained on their own documents. The Sales AI answers from real deals and shows its sources. The company brain maps every person, account, and process with evidence links. Efficiency tools generate contracts and briefs in one step. Finances are checked directly from QuickBooks. Now, every teammate has one login and sees only their own connections. The AI sessions hand work to each other, and the team follows guides written for their real process.

Read the case file →

Agencies are shifting to revenue share, not fixed monthly fees

What changed

What it costs to wait

Process automation layer

Map your current process

Connect your data sources

Build outcome-driven automations

Set up performance tracking

We built a Command Center for LifeGuides

Will this replace my staff?

How does revenue-share pricing work?

Can you connect to our existing systems?

What does the process look like to get started?

Reporting behind this page

Book a Process Automation Audit

Train your team and AI