Practical AI support

AI is already in your business. Make it useful in your sales workflow.

Choose one stuck sales, business development, account management, or commercial workflow and work through a simple diagnostic. By the end, you should have a clearer view of whether the workflow is ready for AI, needs cleanup first, or should become a training, automation, custom GPT, or implementation conversation.

Start with one workflow

This is not an AI readiness quiz for the whole company.

Most sales teams do not need to start with a giant AI strategy. They need to choose one real piece of work that is slow, repetitive, inconsistent, unclear, or stuck. Once the workflow is visible, it becomes much easier to decide what AI can draft, research, summarise, remind, or automate, and what should still stay with the person managing the relationship.

Common starting points

Where sales and commercial work often gets stuck

Use these examples as prompts. Your workflow may sit in prospecting, qualification, follow-up, proposals, account reviews, CRM admin, sales reporting, or internal handoffs.

Prospecting and qualification

The team knows who they could sell to, but research, prioritisation, qualification questions, and first outreach take too long.

Follow-up after calls

Good conversations happen, but the next email, WhatsApp, task, CRM update, or internal handover is slow or inconsistent.

Proposal and quote creation

The same thinking gets repeated every time a prospect asks for a quote, deck, package, renewal option, or first draft.

Account management

Account context, previous commitments, relationship notes, risks, and opportunities are scattered across people and systems.

CRM and sales admin

Useful information exists, but too much time is spent entering, finding, cleaning, summarising, or turning it into updates.

Manager visibility

Sales leaders need a clearer view of pipeline movement, follow-up quality, stalled deals, risks, and next best actions.

The diagnostic flow

The form guides people through the decision.

The goal is to help them see the shape of the problem before they ask for a tool. That makes the follow-up conversation more useful for them and more qualified for Maximillion Digital.

1. Choose the workflow

They pick one process that is slow, messy, repetitive, stuck, or unclear.

2. Identify the blockage

They select what is going wrong: missing information, poor ownership, repeated work, slow response times, messy data, or too many tools.

3. Check readiness

They answer whether the process, data, ownership, leadership, and review points are clear enough for AI or automation.

4. Find the next step

They land in a practical route: training, workflow cleanup, custom GPT, automation, custom development, or implementation support.

Sales workflow examples

Make the diagnostic useful for sales, business development, and account teams.

These examples help people recognise practical first-step AI opportunities without feeling like they need to automate the entire business.

First outreach drafting

Turn a prospect profile, sector, pain point, or campaign angle into a first email, LinkedIn message, or call opener the team can review.

Sales follow-ups

Draft follow-up emails or WhatsApps from call notes, objections, next steps, deadlines, and client context.

Proposal creation

Create a structured first draft from the client need, recommended solution, pricing notes, proof points, and agreed next step.

Customer deep dive

Summarise a prospect or account before a call: business context, likely needs, risks, opportunities, and useful questions.

Lead prioritisation

Use sector, fit, buying signals, relationship history, deal size, urgency, and geography to decide who deserves attention first.

CRM and handoff notes

Turn meeting notes, emails, or WhatsApps into clearer CRM updates, tasks, next steps, and internal handoff notes.

What the answers can reveal

The result is a practical next step, not a score for the sake of it.

The diagnostic should help someone understand what kind of support will move the workflow forward.

Training

The team has useful opportunities, but needs confidence, habits, prompting support, and safe review practices first.

Workflow cleanup

AI may help later, but the current process, ownership, inputs, or handoffs need to be clarified first.

Custom AI tool

The workflow has repeatable thinking, writing, research, or preparation work that could become a guided GPT or assistant.

Automation or custom development

The workflow involves repeated steps, systems, data movement, notifications, approvals, or reporting.

AI implementation

The use case is strong enough to need a planned implementation route with tools, process, data, training, and governance.

Keep it human

Some parts still need judgement, commercial context, customer care, trust, creativity, or final approval.

Questions

Frequently asked questions

Is this a full AI strategy?

No. It is a practical starting point. The diagnostic helps you choose one workflow and understand what kind of support may be useful next.

What if our data is messy?

That is useful to know. Sometimes the best first step is cleaning up the workflow or information before adding AI or automation.

Will this tell us exactly what to build?

It will not replace a proper implementation conversation, but it gives us a much clearer starting point for deciding what is worth exploring.

Can this be used in a live webinar?

Yes. It is designed so attendees can choose one workflow during the session and leave with a practical next step.

Does AI replace the person doing the work?

No. The diagnostic includes a human judgement section because some decisions, approvals, relationships, and commercial trade-offs should stay with people.

Start with the workflow. The technology comes next.

If one part of the business feels slow, messy, or stuck, we can help you decide whether AI, automation, training, or a clearer process is the right next move.