Make Marketing Move Faster With AI
Bring us a process slowed down by scattered inputs, manual work, or too many handoffs. We'll find where AI can remove the friction, then prove it on a real workflow.
What’s Slowing Marketing Down?
Marketing teams have more technology at their disposal than ever. But many processes still rely on people to move work between teams and systems, repeat the same tasks, and parse ever-growing volumes of information.
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
Too many handoffs
Work moves between teams and systems, with people responsible for keeping it moving.
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
Too much repetitive work
Teams gather the same context, create variations, and perform routine checks again and again.
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
Too much to process
Customer, campaign, and market signals arrive faster than teams can turn them into decisions.
Redesign the Process Around What AI Can Do
AI now takes on work that only people used to do. We identify where AI can take on repetitive tasks, bring information together, perform routine checks, and find useful insights in large volumes of information. You still make the judgment calls and approve the work.
This is the first paper in a three-part series. Whitepaper 2 covers Operational Excellence. Whitepaper 3 covers Implementation, Roadmap, and Cloud Deployment.
What This Looks Like Across Marketing
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
Content production
Scattered product information gets turned into structured briefs. Approved messaging gets adapted across channels, formats, and markets without rebuilding every asset from scratch.
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
Compliance and adaptation
Claims are checked against approved sources and market-specific rules get applied automatically. Only the exceptions need human review.
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
Customer and market insight
Reviews, support tickets, social activity, competitor changes, and search trends are converted into signals marketers can act on.
Start With the Process. Not the Technology.
01 Discover
We start with how the work gets done and map out where time, cost, and risk are building up.
This makes the strongest opportunities clear: where AI can make a real difference and where it makes sense to start.
The new process goes to work on real data and is measured against how things work today.
05 Scale
Once the value is proven, we connect the solution to your enterprise stack and apply what works to the next workflow.
Build on the Stack You Already Have
You don’t need another disconnected AI tool. Exadel builds around the platforms, data and controls you already use.
Here are some of the models and platforms we build with:
OpenAI
Anthropic
Google Gemini
LangChain
Azure AI Search
Databricks
Adobe Workfront
Adobe Experience Manager
Figma
Snowflake
Azure DevOps
Langfuse
Prove the Value Before You Scale It
A mapped process
See where time, effort, cost and risk accumulate today.
A prioritized AI opportunity
Know exactly where AI is worth applying—and where it isn't.
A working prototype
Test the transformed process using real data and real users.
A measured business case
Compare the new workflow against your baseline before committing to scale.
A production roadmap
Understand what it takes to integrate, govern and roll out the solution.
Engage the Team That Turns Ideas into Production
Exadel works with you from process mapping and workflow design through prototyping, integration, and implementation.
The result is a production-ready solution built around your processes, data, and technology.
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
1. Initial discussion:
a short conversation to understand your current setup and priorities
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
2. Targeted assessment:
we evaluate your AI and data landscape across key areas
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
3. Expert review:
our team identifies gaps, risks, and opportunities
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
4. Results and next steps:
you get to see exactly where you stand, and what to do next
Built by the team that delivers production-ready AI
This assessment is designed by people with real experience moving AI and data initiatives from idea to production—across data, engineering, and operations.
That’s why our team has a delivery mindset that never loses sight of what it takes to make it work.