Agents

Agents that help people do real work

We design and build focused agents and agentic packages that support people in concrete tasks, workflows, and decisions.

What it is

Agent work starts with a real task. We look at the knowledge, decisions, handoffs, and review points around that task, then design an agent workflow that fits how people already work.

The ambition is not full automation. The ambition is better collaboration between skilled people and useful agents.

Examples

Research agents, meeting follow-up agents, proposal support, engineering workflow helpers, internal knowledge assistants, and process copilots.

Design focus

Clear task boundaries, useful context, repeatable instructions, review points, and workflows that people can trust.

Outcome

Less repetitive work, faster preparation, better use of internal knowledge, and more consistent execution.

How we build

  1. Identify a high-value task or workflow.
  2. Map inputs, decisions, outputs, and human review.
  3. Create the first agent package with instructions and templates.
  4. Test it with real users and improve it based on actual work.