Understand
See how the selected process works, where it slows down, and which people, information, and decisions shape it.
Business processes and AI agents
From process mapping to agent delivery.
Zero Width Lab works with founders, executives, directors, senior managers, and operational owners to improve repeated work such as inquiries, briefs, documents, and internal requests. We map the process first, identify what should improve, and build an agent when it is the right tool. We also prepare the team to use and oversee it.
Start with one process that matters.
- 01Selected processMap the work, friction, information, and decisions.
- 02Fit explorationIdentify the right direction for the process.Possible recommendation
- Process change
- Agent opportunity
- No fit
- 03When an agent is the right fitDesign, test, and introduce it with the team.
The path adapts to the process, people, and operating environment.
Experience in practice
See our experience →- 35+ years
- Technology, systems, and delivery experience
- 12+
- Implemented software, automation, and research projects
- 35+ billion
- AI tokens logged so far
One connected service
Begin with the process. Build what the work actually needs.
We map the opportunity, recommend a direction, and turn the right agent concept into working capability.
Decide
Identify whether the better next move is process improvement, no agent, one focused agent, or coordinated agents.
Deliver
When an agent makes sense, design, build, and evaluate it with the team that will use and oversee it.
How we work
From opportunity to working agent.
See how process understanding, design, evaluation, team preparation, and introduction fit together.
- 01
Understand the Process
Where could focused change make the greatest difference?
- 02
Design the Approach
What role could an agent play alongside the team?
- 03
Build and Refine
How can the idea work in the day-to-day process?
- 04
Introduce and Support
How should the agent become part of the team’s work?
Security and client control
Shape how the agent fits your organization.
Compare options for information, infrastructure, AI models, and human oversight.
Information choices
Identify the information the agent needs and which sources should stay outside the workflow.
Deployment location
Options include local infrastructure, a company cloud environment, or a combined setup.
AI model and provider
Compare local AI, cloud AI, and mixed approaches across performance, privacy, cost, and operational needs.
Actions and human input
Define where the agent assists, when a person reviews, and which systems connect to the workflow.
Start a conversation
Bring us one process that should work better.
Tell us where the team loses time or consistency, what a useful improvement would look like, and who owns the result. Please do not include confidential or sensitive information at this stage.