Start leveraging
AI now.

You’ve invested in a DAM platform packed with AI capabilities. Now it’s time to use them. The AVP AI Accelerator helps you move from AI potential to AI performance — with strategy, metadata, and automation built around how your teams actually work.

What you walk away with

Users who find the right asset in seconds Not minutes of guessing, scrolling, and giving up.

A metadata foundation AI can actually use So the features you paid for start performing.

Tested automation prototypes, not slideware Documented and ready for your team to implement.

“AVP had a defined process and helped us through making sense out of ‘chaos’ — providing transparency and a roadmap through the entire process.”

Financial Services Customer

Built for organizations ready to move

The pressure to leverage AI is clear. The path is not. The promises are real, but AI doesn’t create capability out of thin air. It amplifies whatever foundation already exists. Where metadata, governance, and workflows are strong, AI accelerates. Where they’re weak, it exposes the gaps. The AI Accelerator is built to close that distance between AI’s promise and what your DAM is ready to operationalize.

You have AI features. You’re not using them.

Your DAM has smart tagging, auto-classification, or visual search — but they’re underperforming or turned off. You know something needs to change before you can really use them.

Your metadata is the bottleneck.

Users can’t find what they need, search results are inconsistent, and legacy content was ingested without the structure modern AI requires. You need a plan to fix it without starting over.

You want AI that empowers your team.

Generic AI tools and vendor demos don’t account for your workflows, your users, or your content. You want AI that makes real people better at their jobs — not a feature for the changelog.

Three sprints. Real outcomes.

The AI Accelerator is structured around three focused engagements, each building on the last — from organizational intent to hands-on automation prototypes ready for implementation.

Sprint 01

Purpose-first AI strategy

Align your AI investment with what your organization is actually trying to accomplish — and what your users need to find.

  • Map organizational goals to DAM AI capabilities
  • Identify user search behaviors and pain points
  • Define the use cases that matter most
  • Pinpoint metadata gaps that block AI performance
  • Design the roadmap from where you are to where AI works
Sprint 02

Metadata activation strategy

AI is only as good as the data behind it. Build a complete picture of your metadata ecosystem — where it’s strong, where it’s broken, and what to do about it.

  • Map the full metadata creation ecosystem
  • Assess legacy metadata for gaps and enrichment opportunities
  • Surface hidden data in folder paths and free-text fields
  • Identify AI and non-AI automation opportunities
  • Design a remediation and creation roadmap
Sprint 03

Automation strategy sprint

Move from ideas to working prototypes. Storyboard workflows, prototype the best automation solutions, test them, and leave with clear implementation recommendations.

  • Storyboard metadata creation workflows end-to-end
  • Ideate and prioritize automation solutions
  • Prototype and test selected approaches
  • Evaluate for usability and accuracy
  • Deliver recommendations ready for implementation

From strategy to working prototype

A structured progression that turns AI ambition into tested, documented, implementation-ready recommendations — without generic frameworks or off-the-shelf playbooks.

Discover

Deep-dive into your organization’s goals, your users’ needs, and how people currently search for and use assets in your DAM.

Assess

Audit your existing metadata landscape — what’s there, what’s missing, where AI is blocked, and where quick wins are hiding.

Design

Storyboard automation workflows, identify the DAM AI features worth activating, and prioritize solutions against real-world constraints.

Prototype

Build and test selected automation approaches for real usability and accuracy, then deliver documented recommendations your team can act on immediately.

The questions that unlock AI

Every AI Accelerator engagement is built around a rigorous set of questions that surface the real barriers between your organization and an AI-powered DAM.

Strategy

How does AI support what your organization needs?

Sprint 01
  • What are your organizational goals, and how is your DAM positioned to support them?
  • What are users actually searching for — by asset type, time period, usage rights, or content?
  • What does finding assets with AI look like in practice for your teams?
  • What would AI-assisted discovery change about how people do their jobs?
  • What data currently supports — or undermines — these workflows?

Metadata

Where is your metadata holding AI back?

Sprint 02
  • Where is metadata lacking, inconsistent, or absent entirely?
  • Where is data buried in folder paths or unstructured free-text fields?
  • What legacy metadata is ready for enrichment vs. in need of remediation?
  • What DAM features can automate metadata creation and extraction right now?
  • What needs to be in place before new metadata creation can work at scale?

Automation

Which automation solutions are worth building?

Sprint 03
  • Which metadata workflows have the clearest automation potential?
  • What’s the right mix of AI and non-AI automation for your context?
  • Which prototypes perform best on usability and accuracy when actually tested?
  • What DAM-native AI features are you underleveraging today?
  • What does a phased implementation plan look like given your constraints?

Users

How do your people actually use the DAM?

All sprints
  • How are users searching today — and what are they failing to find?
  • What criteria matter most for asset selection: expiry, rights, approvals, content?
  • Where do people go off-platform because the DAM isn’t surfacing what they need?
  • What would it take for AI-powered search to replace manual workarounds?
  • How does the operational model need to shift for AI to be sustainable long-term?

A collaborative partner, not a vendor

Organizations come to us with complexity and ambiguity. They leave with clarity, a roadmap, and momentum.

“I was absolutely blown away by this report. Thank you for your deep listening, smart and astoundingly swift analysis. I hear everyone’s voice in the report. This process will empower us to move forward in the right direction.”

Global Non-Profit Customer

“AVP has not disappointed — they have been a true collaborative partner and an absolute pleasure to work with. I truly can’t recommend AVP highly enough.”

Fortune 50 Customer

“The opportunity to collaboratively design and be guided through new methods, with attention to detail and solutions at the intersection of ethics, engagement, and utility, were true highlights of working with AVP.”

US Federal Agency Customer

Let’s get started

You already made the investment in AI.
It’s time to use it.

The AVP AI Accelerator gives you the strategy, metadata foundation, and tested automation prototypes to finally put it to work. Vendor-agnostic, user-centered, and built around your specific organizational goals.

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Ready to put your data and digital assets to work for you?

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