Task design
Define the decisions an agent can make and where a person must remain in control.
AI & Technology / AI Agents
AI Agents
Purpose-built agents that handle bounded work, keep people in control, and make complex workflows easier.
What we do
An AI agent can coordinate several steps in a workflow, but every tool call needs a defined purpose and permission. We design agents for bounded jobs such as triaging service requests, gathering information, or preparing a draft action. The workflow records what the agent saw, what it proposed, what it changed, and when a person took over. That makes useful automation possible without losing operational control.
Tool integration
Connect approved data and actions through secure, observable interfaces.
Knowledge grounding
Use trusted business information to make responses relevant and traceable.
Evaluation
Test quality, safety, latency, and operational value before and after release.
Where it works
- Triage a support request, retrieve relevant policy, and draft a response for staff approval.
- Collect missing fields from a document workflow and flag exceptions before submission.
- Prepare account research from approved sources for a sales or service team.
- Coordinate routine status checks across tools while escalating failed or ambiguous steps.
Technology in the mix
- LLM APIs
- Vector search
- Workflow orchestration
- Observability tooling
Built for trust
We separate the agent planner from tool adapters, retrieval, authorization, and event logs. Each tool receives narrow permissions; retries and timeouts are explicit; sensitive writes require approval. Evaluation includes adversarial inputs, missing data, and failure recovery as well as successful task completion.
Questions, answered
A chatbot mainly exchanges messages. An agent may also plan steps and call approved tools to complete a bounded task, so permissions, audit trails, and recovery paths matter more.
Yes, if the system offers a suitable interface and the workflow has approved scopes. We usually begin with read-only access, then add reviewed actions after testing.
We constrain available tools, validate inputs, set approval gates for consequential changes, and log each step. Testing includes ambiguous requests and attempts to override instructions.
The workflow should stop safely, preserve its state, explain the blocker, and hand the task to a person. Silent failure or an invented answer is not an acceptable completion.
Your next move starts here
Let’s build what comes next.
Purpose-built agents that handle bounded work, keep people in control, and make complex workflows easier.