Set Up Gen AI for Sales in 90 Days

According to McKinsey & Company, in 2025, 62% of survey respondents said their organizations were experimenting with AI agents, and 88% reported regular AI use in at least one business function. If used correctly, AI can help immensely to streamline business operations and relieve employees of tedious work.

One way to take advantage of AI is to use it for sales. Here's an outline on how to set up generative AI in 90 days, so you can get going fast.

Weeks 1-2: Build the Foundation With Data Readiness and Governance

The first two weeks should focus on preparing your company rather than deploying the AI tools immediately.

Start by auditing your existing sales to identify:

• Duplicates

• Outdated records

• Inconsistent formatting

• Missing information

You should also establish governance policies that define who can access the data, as well as what information can be used to train or prompt AI systems. In addition, determine how outputs will be monitored for accuracy and compliance.

Having a cross-functional team to oversee the rollout can be useful, too. It should include:

• Sales leadership

• IT

• Security

• Legal

• Operations

Weeks 3-6: Align AI With Your CRM and Cloud Technology Stack

Once the foundation is in place, integrate your chosen AI platform with your existing CRM and cloud infrastructure. This phase should include mapping:

• Customer records

• Sales activities

• Communication history

• Pipeline stages

That way, the AI has the context needed to generate useful recommendations.

Evaluate several AI models based on factors such as accuracy, customization, cost, scalability, security, and compatibility with your existing technology stack. Having your sales enablement tools reviewed can help as well.

If you use cloud platforms, you can accelerate deployment by leveraging native AI services and APIs instead of building custom infrastructure from scratch. During this stage, test integrations in a controlled environment and verify that data flows correctly between systems.

Weeks 7-10: Launch a Controlled Pilot and Prepare Employees

Start with a focused pilot involving one team or a specific sales function before deploying generative AI across the entire sales organization. Common pilot use cases include:

• Drafting prospect emails

• Summarizing customer meetings

• Generating proposal content

• Assisting with account research

Define success metrics before launch, such as time saved per representative or email response rates.

Equally important is preparing your employees for adoption. Do this through structured training sessions and clear communication about AI's role as an assistant rather than a replacement.

Weeks 11-13: Strengthen Security and Scale Adoption

Conduct cybersecurity reviews to ensure the AI applications comply with company policies. They should also protect sensitive customer information and include safeguards against unauthorized access or data leakage. These are the things to review before expanding access to additional teams:

• User permissions

• Logging

• Encryption

• Monitoring processes

Plus, analyze pilot results against the original success metrics to identify:

• Productivity gains

• Implementation challenges

• Areas requiring further optimization

Roll Out Gen AI for Sales Successfully and Quickly

By the end of this 13-week plan, you should have a stable AI foundation and integrated cloud-based workflows. You should've also trained workers and have documented governance practices. This will set you up for continuous AI adoption across the sales organization.

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