AI Workflow Advisory for Web Teams

Practical guidance for identifying responsible, useful AI opportunities in web development workflows

This workshop-style advisory engagement helps web and digital teams evaluate how AI can fit into their current workflows in ways that are practical, responsible, and sustainable.

Rather than treating AI as a trend to chase, this work helps teams take a grounded look at how they currently operate, where friction exists, where AI may offer real value, and where caution is warranted.

The goal is to help teams move from vague interest or uncertainty to a clearer understanding of what responsible AI adoption could actually look like in practice.

Who this is for

This engagement is a good fit for:

• web development teams exploring AI for the first time
• digital teams trying to understand where AI can support existing workflows
• organizations that want a practical, team-centered approach to AI adoption
• leaders who want recommendations before introducing tools or process changes
• teams with concerns about quality, trust, accuracy, process disruption, or long-term sustainability

What this work helps with

This engagement is designed to help teams work through questions such as:

• Where could AI be useful in our current development workflow?
• Where should we be cautious about using it?
• What concerns does the team already have about AI adoption?
• Which opportunities are realistic and worth testing?
• How can we introduce AI into workflows without lowering trust or quality?
• What are the best next steps for responsible experimentation and adoption?

What the engagement includes

Depending on the team’s needs, this work can include the following components:

Introductory discovery discussions

Initial conversations with team members or stakeholders to understand current development processes, existing pain points, team concerns, and how AI may already be entering the workflow.

Workflow and opportunity review

A review of the team’s current development practices to identify where AI may provide useful support and where it may introduce unnecessary risk, confusion, or low-value complexity.

Recommendations

A structured set of recommendations identifying practical AI opportunities within the team’s existing workflow, along with guidance on where adoption should be approached more carefully.

Presentation and discussion

A workshop session or follow-up presentation to walk through findings, recommendations, and possible next steps with the team.

Optional tool demonstrations

Where useful, this can also include demonstrations of specific AI tools or approaches that are relevant to the team’s workflow and goals.

What participants leave with

Participants leave with:

• a clearer understanding of where AI may fit into their current workflow
• a clearer understanding of where AI may not be a good fit
• a shared language for discussing usefulness, risk, and responsible adoption
• practical recommendations tailored to their current team and process
• a stronger foundation for deciding what to test, what to avoid, and what to revisit later

Format options

This work can be delivered in different ways depending on the team and level of need.

Workshop only

A focused session for teams that want a facilitated discussion around AI opportunities, concerns, and practical next steps.

Discovery + workshop

A short advisory engagement that includes introductory discussions, workflow review, and a workshop or presentation of findings and recommendations.

Discovery + recommendations + follow-up

A more complete advisory engagement that includes discovery conversations, workflow analysis, a recommendation deck, presentation of findings, and follow-up discussion around implementation questions.

What this work is not

This work is not about forcing AI into a team’s process or promoting tools for their own sake.

It does not include:

• broad implementation work
• staff augmentation
• hype-driven AI training without practical relevance
• one-size-fits-all recommendations
• replacing team judgment with automation

Approach

My approach is practical, team-centered, and grounded in real digital operations.

The goal is not to convince teams to use AI everywhere. The goal is to help them think clearly, identify where AI can be genuinely useful, and adopt it in ways that support quality, trust, and long-term sustainability.

Background

I currently serve as the Director of Web Development at MIT Sloan School of Management, where I lead the development, maintenance, and growth of the school’s public digital properties.

My perspective is shaped by more than 20 years of experience across software development, technical architecture, consulting, engineering leadership, and digital delivery. I also speak regularly on Drupal, web modernization, governance, performance, delivery quality, and practical AI adoption for web teams.

Engagement scope and pricing

Pricing depends on format and level of support.

Typical starting points:

• workshop-only engagements: starting at $4,500
• discovery + workshop engagements: starting at $6,500
• more complete advisory engagements: scoped based on team size, goals, and follow-up needs

Get in touch

If your team is exploring how AI could fit into its web development workflow and you’d like a practical outside perspective, feel free to get in touch.