Information + tools
Custom AI agents
Assistants that retrieve information and carry out defined tasks using approved tools. We agree which information the agent can access, which actions it can take, and where a person needs to review the result.
AI agent development & workflow automation
AI that can help
with the work.
ByteTalk develops AI agents, workflow automation, and AI features for existing products. We start with a task your team needs to complete, then assess the information, tools, and review the system will need.
Discuss your project
The work
Connect the task to the right tools.
We help you evaluate an idea, build a limited trial, or connect an AI capability to an existing product. The scope follows the workflow and the consequences of getting it wrong.
An illustrative workflow
Put a person at the decision point.
Request
Start with a defined task.
Approved sources
Use information the agent may access.
Draft
Prepare a result for review.
Human review
Approve it or send it back.
Action
Carry out a permitted step.
Steps + exceptions
Workflow automation
Connected steps for recurring work across your systems. We can combine rules, integrations, and AI where each fits, including handling missing information or sending an exception to a person.
Product + people
AI inside your product
Features that help users find information, prepare a draft, or complete a task within your app. We consider the surrounding experience, the source material, and how users check or correct an output.
Before the build
Test the task before expanding it.
A useful trial has a defined task and a way to judge the result. We work through the inputs and failure cases before giving an agent more access or responsibility.
Does this need an AI agent?
Use predictable rules when the inputs and steps are known. AI may help when the task involves interpreting varied text, finding relevant information, or preparing a response. We look at the workflow before recommending an agent.
What information and actions are in scope?
List the systems involved and who can grant access. We discuss data handling and provider choices, narrow the permissions to the task, and identify actions that need approval. You should know where information goes before connecting it.
How will we know it helps?
Compare the trial with the current process using representative examples, including difficult cases. Consider accuracy, time spent reviewing, failures, and running costs. Agree on what must improve before extending the workflow.
Our approach
Work through it with us.
You work with ByteTalk’s founder, Alan Shiflett. We agree on the scope, fee, and timeline before work begins.
Meet AlanUnderstand one workflow
We map the current task, the people involved, and the tools they use. We identify a limited starting point and the examples needed to test it.
Build and evaluate a trial
We test the approach against the agreed examples and review errors with you. The trial helps determine whether the workflow needs different instructions, better source information, a rule-based step, or more human review.
Plan controlled use
We agree on permissions, approval steps, and a way to handle failures. Before rollout, we discuss who will monitor results, maintain integrations, and review changes to the model or source material.
A few useful details
Before we start.
Can an AI agent work with our existing software?
Often, through the APIs and access methods your software supports. We review the systems and permissions first. That determines which tasks the agent can perform and which need a different integration approach.
How do you handle private business information?
We discuss the information involved, where it may be processed, and the access your workflow needs before choosing tools or providers. Those requirements shape the architecture. We agree on data handling as part of the project scope.
Can a person approve actions before they happen?
Yes. We can design approval steps before an agent sends a message, changes a record, or takes another consequential action. We also plan what happens when the agent lacks information or a tool fails.
What should we bring to the first conversation?
Describe one recurring task, the tools involved, and what a better result would look like. You can explain the process without sending sensitive records. We can agree on suitable examples if a trial needs them.
Start with one task worth improving.
Tell us what your team does today and where the work gets stuck. We can discuss whether AI or automation would help.