Do you work with companies across the United States?
Yes. ATH has offices in Ohio and California, works in US time zones and delivers projects for companies across the country, alongside clients in other regions.
Where will our data be stored and processed?
In US cloud regions by default, on AWS, Microsoft Azure or Google Cloud, and inside your own cloud account if you prefer. Agents read only the systems and documents you approve, and sensitive fields can be masked before anything reaches an AI model.
How do you handle HIPAA, GLBA, SOX and CCPA requirements?
We design each agent around the rules that apply to your data: protected health information for HIPAA, customer financial data for GLBA, financial reporting controls for SOX and consumer data rights for CCPA. That means access limited to what the agent needs, full audit logs and a person approving high-impact decisions. Your compliance team reviews the design before launch.
How long does it take to get an AI agent live?
About 90 days for a first agent in production: two weeks to pick the use case and check your data, about six weeks to build and test a pilot on your real systems, then a controlled launch. Simpler agents can be faster.
What does an AI agent cost?
Discovery and the pilot are fixed-price, so you know the cost up front and see measured results before you commit further. Once live, the agent runs on a monthly managed service that covers hosting, monitoring and improvements. The calculator above helps you size the value side; our AI implementation cost guide covers the cost drivers.
Why do so many agentic AI projects get canceled, and how do you avoid it?
Gartner expects over 40% to be canceled by the end of 2027, mostly because of rising costs, unclear business value or weak risk controls. We set a measurable goal and a cost ceiling before building, prove value on a small pilot with your real data, and put guardrails and human approvals in from day one.
Which systems can your agents connect to?
The systems US companies run on: Salesforce, Microsoft Dynamics 365 and HubSpot; ServiceNow, Zendesk and Freshdesk; NetSuite, SAP and QuickBooks; Workday-style HR systems; Microsoft 365, Google Workspace, Slack and Teams; and your own databases and APIs.
Which AI models do you use?
Whichever fits the job: OpenAI and Azure OpenAI, Anthropic, Google Gemini, or open-source models you host yourself. We test them on your own data for accuracy, speed and cost, and can switch models later without rebuilding the agent.
Will AI agents replace our employees?
Agents take on repetitive, rules-based work such as data entry, status updates, first-line questions and document checks. Your people keep the judgment calls, the exceptions and the relationships, and every agent hands off to a person when it should.
What happens after launch?
We run the agent for you: 24/7 monitoring, monthly tuning, new skills as your needs change and a monthly report on volume, accuracy, cost and hours returned to your team.