Start with the work. Connect the right tools. Test with the people who know the business.
A useful agent needs more than a good prompt. It needs accurate information, clear permissions, and a reliable next step when it cannot finish the job.
Discuss your projectWe work through the details together.
You see and test the behavior before launch.
Walk through how your team handles the task today: what comes in, what information they check, and what happens next. Choose a useful starting point and define what a good result looks like.
We agree on the workflow, its boundaries, and how to evaluate it.
Give the agent approved information and access to the tools its job requires. Set the actions it can take, the decisions that need approval, and the handoff to your team.
You can review the conversation, connected actions, and permissions.
Try ordinary requests and difficult ones: missing details, unclear questions, unavailable tools, and requests outside the agent’s scope. Your team helps judge the answers and the actions.
We work through issues and agree on what is ready to launch.
Decide who reviews activity, maintains business information, and responds when something goes wrong. Document the setup and agree on access, running costs, and ongoing support.
Your team knows how the agent works and how changes are handled.
We use Amazon Bedrock and Amazon Bedrock AgentCore to build agents around your workflow. The model, connections, and controls are selected for the job.
Bedrock provides access to AI models. Its Knowledge Bases can retrieve relevant material from connected business information to help ground responses in approved sources.
We choose the model and information it needs, then test the answers against your actual use cases.
Bedrock documentationAgentCore provides services for running agents, connecting them to tools, and managing access. Its observability features can help us inspect activity and investigate issues when configured for the application.
We configure the services your agent needs and define which actions it is allowed to take.
AgentCore documentationVoice projects also need telephony and speech services. We review those connections as part of the build.
The permissions and exceptions are part of the design from the start.
Explore custom AI agentsStart with the task you want to improve and someone who knows how it works today. A few typical calls, requests, or process documents help us understand the job. We then identify which systems and approved information the agent will need.
Only within the scope we design and agree with you. Some actions, such as creating a routine task, may happen automatically. Others can require a person to review or approve them. We define those boundaries before connecting the agent to your systems.
We build using AWS services. The hosting account, access arrangements, data handling, and operational responsibilities are part of the project scope. We agree on those details with you before launch.
The launch plan defines who monitors activity, handles issues, updates business information, and approves changes. We also agree on support arrangements and the operating costs to expect, including applicable model, voice, and cloud usage.