MerkleBuild an
AI-native business.
We transform your company by building custom AI agents that drive outcomes
AI agents at work in your industry.
How we build for your business.
We talk with your team about how you win clients, deliver work, and get paid. Together, we identify bottlenecks, review your systems, and choose where to start based on the time, cost, or revenue at stake.
We build agents that carry out the work across your existing systems. Your team helps define what they can access, which decisions need approval, and when to hand work back to a person. We test together before launch.
We measure results against the starting point: time saved, work completed, accuracy, and running cost. We review errors and team feedback, refine the solution, and expand to other parts of the business when the results support it.
Built with your MSP.
Keep the controls you need.
We work with your managed service provider to connect agents to the tools your team already uses. Your MSP knows your systems and security requirements. We build and maintain the agents, with clear responsibilities for access, support, and changes.
Control data access
Agree which systems and information the solution can use, who can access it, and how data is handled by the selected tools.
Set approval boundaries
Decide what AI can prepare, what requires a person’s approval, and what happens when a request falls outside the agreed scope.
Know who owns support
Define who monitors the solution, handles issues, and approves changes. Your team and your MSP have a clear point of contact.
Before we start.
What does an AI-native business actually look like?+
Agents are part of how work moves through the business: they use approved information, update systems, complete defined tasks, and hand decisions to the right people. Your team manages outcomes and exceptions rather than manually coordinating every step. We build toward that in stages, around a business case.
How will we know whether it’s worth doing?+
We agree on the business outcome first: more client capacity, a shorter delivery cycle, fewer unfilled appointments, or faster billing. We compare the current baseline with the cost of building, operating, and reviewing the workflow. If the case is weak, we change the scope before building.
Will we have to replace our existing software?+
We start with the tools you already use. During discovery, we check their integration options, data access, and permissions. If a connection isn’t practical or needs an additional tool, we explain that before agreeing the build.
What happens when AI gets something wrong?+
Agents operate within agreed permissions and approval gates. We test failure cases, route exceptions to your team, and keep a record of actions for review. Decisions that require professional judgment stay with the responsible person. Reported errors feed into ongoing improvements.
What should AI do
for your business?
Bring us a bottleneck or a business goal. We’ll explore where
custom agents could help and what success would look like.