Job and authority design
Define the tasks, decisions, limits, approvals, handoffs, and success criteria.
AI agents and knowledge systems
We build agents, internal assistants, company search, and document workflows that gather context, use approved tools, and ask for human judgment when work moves beyond their authority.
Sources checked and CRM update drafted.
The difference
A useful agent receives a goal, gathers the right context, chooses from approved actions, checks its work, and hands off when the situation requires a person.
We define the job and its boundaries before selecting the model or tools.
Define the tasks, decisions, limits, approvals, handoffs, and success criteria.
Connect approved documents, databases, CRM records, search, and business actions.
Build instructions, orchestration, permission controls, state handling, and user experience.
Test representative tasks, edge cases, failure modes, cost, response quality, and escalation.
Where agents fit
The right agent is defined by the work it performs, not a generic chatbot label.
Research an account, summarize context, identify relevant needs, prepare meeting notes, and update the CRM after approval.
Investigate a request, gather account history, prepare a response or action, and escalate sensitive cases.
Review policies, contracts, applications, or reports; identify relevant details; and prepare a structured output for review.
Answer employee questions, research procedures, prepare recurring work, and coordinate tasks across approved systems.
Required controls
Agents can access only approved data and actions.
High-impact actions wait for a responsible person.
Quality is measured against representative work.
Logs show inputs, actions, outcomes, and failures.
We will assess the task, required context, available tools, risk, and the right level of human control.