AI Enablement
Book a CallGet a Quote

Copilot-first, tool-agnostic, Atlanta plus remote

Practical AI enablement
for managers, ops, and support teams

Operator-led AI enablement that installs an AI operating system—templates, guardrails, and a rollout plan—so teams adopt AI quickly and safely using the tools they already have.

Book a CallGet a Quote

Most teams start with the AI Workflow Audit + Roadmap — a fixed-scope diagnostic that maps your use-cases and defines your rollout plan.

Not textbook training—hands-on workflow installation using sanitized examples from your team’s real work.

See Rules of the Road·View Sample Deliverables

What you get

Prompt Library

Custom templates and reusable prompts for your team's actual workflows — included in every engagement.

Verification Checklist

Safe-use rules and output review habits so your team can trust — and catch errors in — what AI produces.

Role-Based Workflows

Separate use-case tracks for Managers, Ops, and Support, because the workflows are genuinely different.

Tool-Agnostic Support

Copilot-first recommendations, but fully compatible with ChatGPT, Gemini, Claude, and what you already use.

Tooling Strategy

Recommended Stack + Usage Boundaries

Copilot-first for Microsoft 365 teams. Otherwise we recommend a sensible default stack based on your workflows, tool access, and data-handling requirements.

We focus on adoption patterns that transfer across tools—so your team isn’t dependent on one model.

Microsoft 365 Copilot

Use cases: Email drafts, meeting recaps, doc summarization, Excel insights — within M365 workspace

Boundary: Within M365 suite only; no external data. Requires M365 Copilot license.

Google Workspace + Gemini

Use cases: Docs, Sheets, Gmail drafts, Meet summaries — within Google Workspace

Boundary: Within Google Workspace; governed by your Workspace plan.

ChatGPT (Team/Work)

Use cases: General drafting, research synthesis, brainstorming, summarization

Boundary: Use Team or Work plan for data controls. Free/Plus: no confidential or proprietary data.

Claude (Projects)

Use cases: Long-document summarization, nuanced writing, complex research tasks

Boundary: Teams plan: Anthropic does not train on inputs. Apply your internal data-handling rules.

NotebookLM

Use cases: Knowledge synthesis from internal docs, policy Q&A, research deep-dives

Boundary: Documents stay in your Google workspace. Best for read-only synthesis, not live editing.

Claude Coworklimited availability

Use cases: Multi-agent task coordination via skills, connectors, and slash commands

Boundary: Limited availability / optional — where available. Features evolve rapidly; treat as supplemental, not a core workflow dependency.

Start here

AI Workflow Audit + Roadmap

Fixed-scope diagnostic. The fastest way to map your highest-value AI use-cases, define guardrails, and get a 30–60 day rollout plan built for your team’s real work.

  • ✓ Prioritized workflow opportunity map (impact vs effort)
  • ✓ Tool-fit recommendation within your approved stack
  • ✓ Risk boundaries + execution roadmap with recommended next engagement
Book a Call to Start

Built for the teams AI forgot

Most AI training targets developers. We focus on the people who actually run the business.

Where AI fits in your business

Practical AI isn’t about replacing people. It’s about offloading the right tasks safely — with human review at every critical step.

✍️

Writing + documentation

SOPs, KB articles, policies, and internal communications drafted faster with AI-generated first drafts.

💬

Communication

Customer, vendor, and internal emails drafted for human review before sending — never auto-sent.

🧠

Decision support

Summaries, options memos, and quick analyses to help managers make faster, better-informed decisions.

🎧

Support operations

Macros, QA rubrics, and escalation frameworks that keep support teams consistent and fast.

🔍

Knowledge synthesis

Turning internal documents, notes, and policies into searchable, summarized answers.

⚙️

Light automation

Simple no-code routing and notifications — always with a human approval gate before anything external.

Our method

The A.D.O.P.T. Framework

A repeatable 5-phase approach for practical AI enablement — no guesswork, no generic training decks.

A

Assess

Workflow audit + inventory of your highest-value AI use-cases, risk zones, and tool fit.

D

Design

Prompt systems, safe-use guardrails, and verification rules built for your actual roles.

O

Operate

Hands-on training using sanitized real workflows — not example data, not generic slides.

P

Prove

Adoption scorecard + baseline metrics so you can measure real progress from day one.

T

Tune

Office hours and continuous iteration as your team’s AI use matures over time.

Engagement options

Most teams start with the AI Workflow Audit + Roadmap, then move into the right delivery engagement based on findings.

Every engagement is scoped to your team — no generic packages, no surprise scope.

Fixed scope — start here

AI Workflow Audit + Roadmap

A focused diagnostic to map your highest-value AI workflows, define guardrails, and build your 30–60 day rollout plan. Most teams start here before choosing a workshop or sprint.

  • Workflow review across your team roles
  • Prioritized opportunity map (impact vs effort)
  • Tool-fit recommendation within your stack
  • Roadmap + recommended next engagement
Book a Call

Starting at

Workshop

A focused half-day or full-day session for your team. Walk away with prompt templates, guardrails, and a shared playbook.

  • Live, hands-on training
  • Custom to your tools & workflows
  • Prompt library included
  • Recording + follow-up materials
Book a Call

Starting at

Sprint

A 2-4 week engagement to build and ship a specific AI-powered workflow with your team.

  • Defined deliverable & timeline
  • Weekly working sessions
  • Async support between sessions
  • Documentation & handoff
Book a Call

Starting at

Retainer

Ongoing monthly support: office hours, prompt reviews, new-hire onboarding, and tooling guidance.

  • Monthly strategy calls
  • Async Slack/email support
  • Prompt & workflow reviews
  • Team onboarding assistance
Book a Call

What you leave with

Every engagement produces tangible artifacts your team keeps. No case studies yet — here’s what we build together.

📋

AI Operating System Kit

Safe-use rules, approved use-case library, escalation guidelines, and accountability framework — ready to deploy in your team’s first week.

✅

Verification Workflow

A step-by-step output review habit that catches errors before they go to customers, leadership, or the public.

🔁

Before → After Examples

Side-by-side examples showing your actual workflows before AI and how the same task runs after with guardrails in place.

📌

Role-Specific Prompt Library

25–40+ prompts mapped to your team’s real tasks: managers, ops, and support each get a tailored set.

See sample deliverables →

Operator-led and practical, Atlanta-based, remote nationwide, limited onsite travel

We recommend tools, not software licenses, and work within your approved stack.

How I use AI in practice

Built websites with AI coding tools

Built data-gathering utilities

Experimented with agentic content workflows

Used AI in a corporate environment

Why teams are training now

AI literacy is becoming an organizational expectation

Organizations are increasingly expected to train staff on safe and effective AI use. The EU AI Act (Article 4) explicitly requires those deploying AI systems to ensure their staff have a sufficient level of AI literacy. US enterprise adoption trends show similar internal expectations taking hold.

Practical enablement — guardrails, verification habits, and role-specific workflows — is how teams get ahead of this without turning it into a compliance project.

Frequently asked questions

We are Copilot-first but fully tool-agnostic. Workshops cover GitHub Copilot, ChatGPT, Gemini, and any AI tools your team already uses.

We help you pick the right tool for each workflow rather than pushing a single vendor.

No. While we recommend Copilot as a strong starting point for many teams, every workshop adapts to whatever tools you have — ChatGPT, Gemini, or others.

If you are not sure what to use, we will help you decide during the discovery call.

Every engagement includes a verification checklist your team uses before acting on AI output. We teach a "trust-but-verify" approach with concrete steps: cross-referencing sources, sanity-checking numbers, and flagging confidence gaps.

This is baked into every prompt template and workflow we deliver.

We never ingest, store, or train on your proprietary data. All exercises use sanitized examples you provide, and we teach your team how to scrub sensitive information before pasting it into any AI tool.

Data safety and privacy are non-negotiable parts of every engagement.

Yes — every engagement is tailored. During prep, we review your team's actual tasks, tools, and pain points, then build the prompt library and exercises around those workflows.

No. We are an enablement consultancy, not a software shop. We teach your existing team to use AI tools better — we don't build custom software, write production code, or manage infrastructure.

We work across industries wherever managers, ops, and support teams exist — professional services, SaaS, healthcare, finance, logistics, and more.

If your team writes documents, responds to emails, or follows repeatable processes, AI enablement applies.

Ready to enable your team?

Book a free discovery call. We will talk through your team's needs and recommend the right engagement — no pressure, no pitch deck.

Book a Free CallGet a Quote