We build working AI agents directly with your team on your real workflows, inside the accounts and tools your company already uses. Your people leave with working AI agents and the know-how to run, troubleshoot, and build the next ones themselves.
For departments setting up their first working AI agents on real weekly workflows.
We audit the team's workload and pick the highest-value workflows to start with. In live build sessions, every person on the team sets up an AI agent on their own job duties, with skills, knowledge sources, and connectors in place by the end.
Scope an engagementFor teams with AI agents already running that want output they can rely on.
Bring us the AI agents you have in Gumloop, Claude, Copilot Studio, ChatGPT Enterprise, or internal tools. We review the setups with your builders, separate reusable skills from the harness, fix how reference documents attach, and put quality checks in place.
Scope an engagementFor leadership teams rolling out AI agents across functions such as Operations, Sales, Marketing, Comms, Finance, and People.
We map which AI agents each team needs, build a shared library of company-wide skills and verified knowledge sources, set standard rules for which connectors AI agents may use, and train internal leads to oversee quality as the bench grows.
Scope an engagementTestimonial
“I walked away with a fully functioning AI agent built for my business.”
“She teaches you how to think about agent design: how to write precise instructions that keep the agent focused, how to set inclusion and exclusion criteria that protect your brand and your time.”
THREE WAYS IN
90.5% of surveyed participants report moderate or extreme confidence they can build the next one on their own after one session.
Free workshops where you build your first working AI agent. Hands-on, no code background required.
Score how your team uses AI today.
See where your team's AI agent setup stands and which fix to make first.
Five AI agent builds you fill in with your own tools, then copy and run.
A self-serve guide that points you to the build that fits your week. Every AI agent is draft only, so nothing sends without your approval.
Most business software now ships with built-in AI agents. Whether your team builds custom ones or uses the ones already in your tools, we teach the core parts of an AI agent so your people can direct the work, check the output, and get consistent quality every time.
Once your team has a working AI agent, the quality of its work depends on a handful of settings and habits. These are the six to manage.
The written job: the steps, what to include, what to leave out, and examples of good work. When the tone is off or a policy changes, your team edits the skill.
What starts the AI agent, which model runs each step, and where it pauses for a person to approve. Fix wrong run times, lost context between steps, and timeouts here. The skills stay as they are.
Attach each document to the one step that needs it. An AI agent given a 200-page handbook pads its answers. Given the right page, it has the exact facts.
Read access for live context, and write access only into a staging folder. Nothing goes to a client or changes a live record until a person signs off.
Name the person who checks a sample of the output on a set day, and write down the signs that mean the skill needs an update.
Change one thing at a time and keep the previous version of the skill, so your team can see which edit fixed the output and undo the ones that did not.
Looking to bring BNEDai in to work with your team? Fill out the form and we will be in touch with you in a few hours.
Prefer email? hello@bnedai.com
Looking for a free live session? See Agent Lab.