Identify the workflows worth improving, choose the right AI stack, build the first systems, document the guardrails, and get your team using them consistently. This is for companies that need implementation, not another general AI presentation.
A practical rollout connects technology, process, training, governance, and measurement.
Map repeated tasks, bottlenecks, handoffs, sensitive data, and quality requirements. Rank use cases by value, feasibility, and risk.
Match ChatGPT Work, Codex, Claude Cowork, Claude Code, Replit, apps, connectors, or existing systems to the work they handle best.
Create a small set of working workflows using your real inputs, templates, tools, review steps, and definition of done.
Document permissions, human approvals, data boundaries, failure handling, quality checks, and escalation paths.
Teach role-specific workflows, coach managers and champions, and give employees playbooks they can use after the session.
Track adoption, throughput, time, quality, and errors. Improve what works, retire what does not, and expand only when the evidence supports it.
A prioritized map of the workflows, tools, risks, expected value, and rollout sequence that make sense for your company.
A focused implementation for marketing, sales, operations, support, leadership, or a development team, with training and documentation included.
Platform setup, apps or connectors, role-based workflows, privacy guidance, team playbooks, and adoption support.
Repository guidance, agent delegation, worktrees, testing, code review, skills, automations, and a safer operating process for builders.
Training teaches your people how to use the tools. Workflow consulting also identifies the best use cases, configures the stack, builds the workflows, documents them, and helps your team adopt them.
The engagement can include ChatGPT Work, Codex, Claude Cowork, Claude Code, Replit, ChatGPT apps and connectors, workspace agents, and the business systems those tools need to work with.
No. Tool selection can be part of the engagement. The recommendation should follow your workflows, security requirements, existing software, team skills, and budget.
Yes. A focused pilot with one department is often the cleanest way to prove value, document guardrails, and build internal champions before a broader rollout.
Start with a baseline for time, quality, throughput, adoption, and error rates. Then measure the same workflow after implementation instead of relying on vague productivity claims.
Two published sessions, both live on screen share with Evan Weber. Pick the length that matches how much work you want to cover.
$300 USD
Standard offer: 1 to 4 people
Best for one priority workflow. Bring a single task, approved sample inputs, and a clear idea of what a useful result looks like.
$1,000 USD
Standard offer: up to 8 people
Room for several workflows or more practice with each one. The time is shared across the group, so agree on priorities before booking.
Software subscriptions and usage costs are separate from the session fee.
You're welcome to record the session with agreed permissions, and you own that recording. Confirm any trainer-provided recording, follow-up materials or support before booking.
This is the standard teaching offer, not an implementation engagement. Workflow design, configuration, implementation and product development need a separate agreed scope and custom quote.
Larger groups, implementation work, or software development are handled as a custom quote: request a team workshop quote or discuss a development project.