AI Pathways: Workflow

Turn AI interest into practical team workflows.

Workflow is the flagship AI Pathways workshop for one team or department. Teric helps business teams map where AI can save time, improve quality, reduce friction, and create more repeatable work while keeping usage aligned and reviewable.

FormatHalf-day workshop
AudienceUp to 20 participants
Investment$7,500

Best fit

For business teams ready to apply AI to real work, not just learn the basics.

Use Workflow when one department needs an AI adoption workshop with shared standards, practical prompts, and a coordinated way to use AI in everyday responsibilities.

One team needs traction

A department knows AI matters but needs help turning interest into repeatable daily use.

Use cases need sorting

The team has ideas but needs to rank them by value, effort, risk, and repeatability.

Guardrails need to be clear

People need simple rules for source material, output review, privacy, and approvals.

Examples need to fit the work

Training needs to use real team responsibilities instead of generic prompt examples.

What you get

A practical team workflow map and the starting patterns to use it.

Workflow leaves the team with a clearer view of where AI fits, what should stay human-reviewed, and what can become a repeatable prompt, instruction, automation, or future implementation opportunity.

Team workflow map

A practical view of the team's current work, where AI can assist, and where human ownership stays critical.

Prioritized use-case list

A ranked list of AI opportunities based on business value, ease, risk, repeatability, and next-step potential.

5-10 reusable prompts

Prompts or instructions tailored to the team's actual role, workflow, and output needs.

Review and guardrail checklist

Simple guidance for reviewing AI output and deciding what needs approval before use.

Session flow

A half-day focused on applying AI to the work your team already does.

01

Team context and goals

Confirm the team's responsibilities, friction points, approved tools, and desired outcomes.

02

Workflow inventory

Map the work where AI may help, including repeated tasks, handoffs, decisions, and content-heavy steps.

03

Use-case prioritization

Separate the useful opportunities from low-value or risky ideas.

04

Prompt and review practice

Build starter prompts, review loops, and output standards the team can keep using.

05

Guardrails and next steps

Clarify what is allowed, what needs review, and what should move into Lab, Compass, Optic, automation, or agents.

Boundaries

Workflow is scoped training and advisory, not open-ended implementation.

Each package keeps the work focused so buyers understand what they are getting, what is outside the fixed fee, and where the right follow-on path begins.

IncludedPrep call, workflow intake review, live half-day workshop, reusable prompts, guardrails, and next-step summary.
Not includedCustom software, production automation, connector work, broad rollout, or multi-department implementation.
Best next moveMove into Lab when the team has priority workflows it wants to test and document.

After Workflow

Use Workflow to decide where the team should go deeper.

Workflow often produces a clear next step: Lab for repeatable patterns, AI Compass for broader prioritization, Optic for visibility, or implementation when a workflow is ready to automate.

FAQ

Common Workflow questions.

Is this an AI workflow workshop?

Yes. Workflow is a hands-on AI workflow workshop built around the team's real responsibilities and practical exercises, not passive lecture.

Do participants need AI experience?

They need enough baseline comfort to discuss their work. If the audience is uneven, Foundations may come first.

Can it be virtual?

Yes, though Workflow is strongest in person when the team is mapping and prioritizing together.

What should we prepare?

Bring the team list, approved AI tools, policies, workflow examples, and up to three role or workflow areas to emphasize.

AI Pathways: Workflow

Apply AI to one team's actual work.

Tell us about the team, their current AI usage, and the workflows they most want to improve.