Enablement

AI Consulting and Training

Teach the team how to use AI at work without turning the company into an unreviewed content machine.

Tools are easy to buy. Habits are not. AI consulting and training from Brayne Digital gives managers and staff a shared language for prompts, review, privacy and the workflows that are worth repeating.

We combine working sessions, playbooks and office hours so the training survives the week after the workshop. When you want implementation, the same team can stay on the build.

Workflows around your businessHuman review stays in the loopMarketing plus implementation
Consultant training a small team on practical AI workflows

Consulting and training that stay close to the work

AI consulting is help choosing what to adopt, what to forbid and what to measure. Training is the practice of doing those things on your real documents, CRM records and campaign drafts.

We do not run a generic tour of every model on the market. Sessions are built around the jobs your people already have: sales follow-up, content, reporting, support replies and research.

The useful output is a short playbook: approved tools, example prompts, review rules, data you will not paste into a model and a list of workflows that deserve a proper automation project later.

Consulting for decisions leadership has to make
Role-based training
Playbooks the team can reopen
Adoption after the workshop
What we automate

Capabilities you can put to work

Open a tab to see the tasks, handoffs and outputs we typically include.

Consulting for decisions leadership has to make

Someone has to decide the stack, the budget and the risk posture. We make those decisions concrete.

Use-case shortlist
Build versus buy
Tool shortlist
Data and privacy rules
Vendor questions
Pilot design
Success metrics
Risk register
Owner model
90-day enablement plan
Example workflows

How the work actually moves

These are starting patterns. We adjust steps to match your CRM, team and approval rules.

Discovery to curriculum

A practical sequence we implement and test before it goes live.

Roles and tools listed
Risks and forbidden data noted
Live work samples collected
Curriculum drafted
Managers approve scenarios

Workshop to playbook

A practical sequence we implement and test before it goes live.

Live exercises on real work
Review rules practiced
Playbook drafted
Champions named
Office hours booked

Follow-through

A practical sequence we implement and test before it goes live.

Pilot work reviewed
Playbook corrected
Metrics checked
Next automation chosen or paused
New-hire pack updated
AI platforms and tools

The AI companies and systems we build around

Every page starts with the major AI platforms, then the CRMs, inboxes and sites you already pay for. New software is only recommended when the current stack cannot support the workflow.

OpenAI
Claude
Gemini
Copilot
Perplexity
Meta AI
Hugging Face
Microsoft 365
Google
HubSpot
WordPress
Notion
Who this is for

Built for operators, not demo theatre

Small teams and agencies both use these workflows. The scope changes. The principle does not.

Leadership teams

You need a position on risk, vendors and what good looks like before staff invent twenty unofficial workflows.

Owners and directors
Marketing heads
Operations leads
Agency principals

Staff who will use AI weekly

Training is useful when people practice on the emails, reports and pages they already owe this month.

Content and social teams
Sales coordinators
Support desks
Coordinators and EAs
How we work

A clear path from audit to live workflow

We design, test and train before anything runs unattended.

01

Interview the work

We watch how people already draft, research and approve so the curriculum is not theoretical.

02

Set the rules

Approved tools, forbidden data and the review standard are written before the first exercise.

03

Run role-based sessions

Groups practice on their own materials, not generic sample companies.

04

Leave a playbook

Prompts, checklists and examples are saved where the team already works.

05

Hold office hours

The two weeks after training are used to correct habits while the work is still fresh.

06

Decide what to build next

If a repeated prompt should become a real automation, we can move that item into an implementation project.

Why Brayne Digital

Marketing judgment plus the ability to build

Training on your work, not a demo dataset

People remember what they practiced on their own pipeline and pages.

Guardrails are part of the course

Privacy, claims and review are taught as skills, not a slide at the end.

The same team can implement

Consulting does not dump a list of tools on you and leave. We can stay for the build.

Playbooks beat inspiration

You keep a short operating document the next hire can use without repeating the whole workshop.

Frequently asked questions

AI Consulting and Training FAQs

What is included in the training programme?

Consulting on the tool shortlist, pilot design and success metrics; role-based sessions for leadership, sales, marketing and support; and a take-home playbook with prompt templates, a review checklist, privacy rules and next steps. Office hours follow the workshop.

Do you tailor the training to our team and industry?

Yes. We interview how your team already drafts, researches and approves, then build the sessions around those jobs. People practice on their own materials, not a generic sample company.

Which tools do you cover?

The tools you already pay for. A typical set includes ChatGPT, Microsoft Copilot, Google Gemini, Claude, Microsoft 365, Google Workspace, HubSpot and your CRM. We recommend a small approved list, not a tour of every new app.

How long are the training sessions?

A working workshop can be a single day. We recommend the fuller programme: discovery, the session, a playbook and office hours across the following two weeks so the habits survive.

Do you offer follow-up support?

Yes. Office hours, a review of pilot work and a follow-up clinic are part of the programme. If a repeated prompt should become a real automation, the same team can take that into an implementation project.

Ready to automate the work that is already repeating

Start with one workflow that saves real time

If the company is already using AI in unofficial ways, consulting and training should set the rules, the practice and the next build, not another unused tool login.

Book a consultation. We will review how your team currently works and recommend a first automation you can actually run.