Turn AI tools into real team capability

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Banzai

AI Team Acceleration

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From AI experimentation to AI-enabled teams

Most companies have AI tools. Few see real results.

 

The gap between AI investment and measurable business value is growing.

 

Teams experiment with ChatGPT or Copilot, but daily work often stays the same. A few power users unlock gains while the rest of the organization struggles to move beyond basic prompting.

 

You will get a cross-functional AI acceleration team that works closely with your teams to make AI part of how product, design, and engineering work happens every day — turning AI into a force multiplier for how your teams build products.
AI tools exist. Adoption does not scale

Many organizations already have access to AI tools.


What they lack is systematic adoption.

 

Organizations are investing heavily in AI, but only a small number turn that investment into measurable business value.

 

Pilots launch but rarely scale. Experiments stay isolated. AI becomes an individual productivity trick instead of a team capability.

 

Typical patterns appear:

A few individuals become power users

Experiments remain disconnected from real work

Pilots deliver insights but not operational change

Teams lack confidence applying AI in product development

Real impact appears when AI becomes part of how teams design, build, and ship digital products.
Who AI Team Acceleration is for

Designed for teams responsible for designing and delivering digital products.

 

If your teams build digital products and AI adoption remains uneven, this program addresses the gap.

Product teams

Use AI across ideation, product definition, and delivery.

Design teams

Accelerate research, prototyping, and exploration without losing craft.

Engineering teams

Ship faster with AI-assisted development and agentic tools.

Innovation and transformation leaders

Scale AI adoption across product organizations with measurable impact.

From scattered experimentation to systematic adoption

AI adoption fails when organizations treat it as experimentation.

 

The real shift is operational.

Scattered experimentation → team-wide AI fluency

Theory → practical workflows

Task automation → redesigned processes

Isolated pilots → scalable adoption

The goal is not introducing tools. It is redesigning how product teams work.
The offering in one clear frame

AI Team Acceleration places a cross-functional AI squad inside your product teams to turn AI into real product work.

 

In parallel, our multi-agent AI solutions focuses on deploying AI agents and automation directly into business processes.

 

This acceleration builds AI-capable teams. Multi-agent AI solutions delivers AI-powered systems.

 

Together, as part of Banzai, they combine AI-capable teams with AI-powered operations.

 

This is not traditional training. Teams apply AI directly to their own projects, tools, and workflows.

 

The program typically runs for six months in continuous cycles combining learning, experimentation, and implementation.

Each cycle includes:

  • Learning sessions introducing relevant AI tools and methods

  • Hands-on workshops applying AI to real team tasks

  • Piloting and prototyping improved workflows

  • Implementation of proven approaches across teams

  • Documentation ensuring adoption lasts

Core areas include:

  • AI-assisted product work

  • AI-assisted development

  • Workflow automation

  • Agentic systems

  • Secure and responsible AI use

Early cycles focus on quick wins and foundational capability. Later cycles scale proven workflows and build internal ownership.

 

We work with tools your teams already use, including ChatGPT, Claude, GitHub Copilot, Cursor, and Figma.

What you will have

The program changes how teams work, not just how they experiment with AI.

Teams increasingly shift their time away from repetitive work toward higher-value product thinking and innovation.

Embedded AI workflows

AI becomes part of everyday product, design, and engineering workflows.

Efficiency improvements

Redesigned workflows reduce manual work and create measurable time savings.

Team-wide adoption

AI usage spreads across the majority of the organization instead of remaining limited to specialists.

Internal champions

Trained advocates sustain adoption and continue evolving workflows after the program concludes.

How we work
  • 01 Opportunity mapping
  • 02 Workflow experimentation
  • 03 Implementation and scaling
  • 04 Internal ownership
Opportunity mapping

Identify where AI creates the most impact.

  • Assess current workflows and usage
  • Identify high-value opportunities
  • Align on priorities and metrics
  • Define the first focus areas
Measuring the impact of AI adoption

Impact is measured through operational indicators tied to productivity and adoption.

 

Typical metrics include:

Time saved across redesigned workflows

Manual work eliminated through automation

Adoption rates and daily AI usage

Validated AI use cases deployed

Many organizations also see significant productivity improvements and measurable cost reductions, often delivering at least a twofold return on the program investment.

Nico Kruyswijk

Digital Innovation Manager

Vattenfall

“The vibe coding workshop was the perfect mix of relaxed energy and high productivity. It was well-catered, entertaining, and packed with actionable insights. I walked away with a powerful prototype and a clear path forward for my team — highly recommended!”
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AI used in real product development

Framna teams design and build digital products that increasingly incorporate AI capabilities.

 

Our teams apply AI across product strategy, design workflows, and engineering environments. Several partners have embedded this enablement approach into how their teams work.

 

This is practitioners helping practitioners apply AI in real product environments.

How the accelerator works

The AI Team Acceleration is typically delivered as a six-month program with a fixed monthly fee.

 

This structure allows teams to move from experimentation to scaled adoption while adapting focus areas as priorities evolve.

 

Shorter engagements or extended programs can also be configured depending on team size and scope.

 

Optional extensions include:

Leadership AI strategy sessions

Custom agent development

Agentic readiness assessments

Why Framna
Framna designs and builds digital products that incorporate AI capabilities.

Product practitioners

Our teams apply AI directly in product design, development, and delivery.

Hands-on enablement

We work alongside teams, applying AI to real projects instead of theoretical exercises.

Integrated product expertise

Strategy, design, and engineering expertise combined in one product-focused team.

Sustainable adoption

The goal is to embed AI capability so teams continue improving long after the program ends.

What happens next

We begin with a short conversation about your current AI adoption and team workflows.

 

From there we design the program, assemble the right enablement squad, and begin working with your teams on high-impact opportunities.

FAQ

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