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Agentic AI Partner Challenge Proposals

08/28/2025

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Agentic AI Compliance Guardian – “Autonomous brand-safe compliance enforcement”

CHALLENGE

Features & Functionality

Pre-publish compliance scan.
Alt text generation (images + tags).
CTA/link validation.
Accessibility audit + fix suggestions.
Stream-validated disclaimers and brand tone enforcement.

Business Value:

ROI: Lower risk of ADA lawsuits and compliance fines.
Efficiency: Saves marketers 1+ hour per page of manual review.
Customer Impact: Accessibility-first experiences → broader reach and brand trust.

Industry

Finance, pharma, healthcare, government (strictest compliance environments).

Goals

Minimize accessibility compliance review time.
Ensure all text content published is according to brand, with no manual content review.
100% of Images uploaded through Sitecore have alt text generated.
100% of Image tags in Sitecore have alt text generated.
100% of CTA and Link integrity of created/updated pages
Automatically flag, minimize and suggest potential fix for common accessibility issues: Poor color contrast, Keyboard navigation missing, Missing form labels, Time-based media alternatives, Accessible mobile features.

Technologies Used

Scalability

Multi-site, multi-language support.
Extend to Content Hub DAM for pre-ingestion accessibility checks.
Extend to Personalize for compliant campaign personalization.

XMC

AXP Stream

The Solution

An autonomous agent in XM Cloud that scans new/updated content before publishing, fixes accessibility gaps (alt text, link integrity, form labels), validates CTAs, and ensures brand alignment with Stream.

The Problem

Accessibility lawsuits are surging: in 2025, 2,019 ADA website compliance lawsuits have already been filed, with projections of nearly 4,975 by year-end. Marketers must ensure content is accessible and brand-safe — but manual compliance reviews are time-consuming, error-prone, and costly. Manual compliance checks are slow, inconsistent, and costly, leading to regulatory fines and delayed launches.

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IA Metadata creation

AXP AI Xperience Platform

Agentic AI Value: Proactively initiates compliance checks. Makes contextual decisions (e.g., when disclaimers are required).Auto-suggests rewrites and accessibility fixes. Escalates only high-risk issues, saving editorial time.

Stream Value: Stream validates fixes against glossary, tone, and sentiment rules — ensuring every compliant change remains brand-safe.

Below are a few ADA requirements for websites that can help you avoid a lawsuit:

Missing image alt text: Alt text describes visual content critical for accommodating screen readers. The highly publicized Robles v. Domino’s Pizza, LLC, CA, cites this ADA violation, helping set a precedent for how ADA Title III applies to websites.

Poor color contrast: Low-contrast text is challenging for color-blind people and other vision-related disabilities. Ensure you’re using the proper contrast ratios.

Keyboard navigation: Some end users can’t navigate with a mouse, so keyboard accessibility should be an integral part of your design strategy. Websites should be entirely usable with a keyboard to meet ADA compliance.

Missing form labels: Every form entry must enable screen readers to convey related content.

Time-based media alternatives: If your website features videos or audio content, provide alternatives such as captions, transcripts, and audio descriptions. This ensures that users with hearing or visual impairments can still access the information in these media formats.

Accessible mobile features: As mobile usage continues to rise, ensuring your mobile site or app is accessible is crucial. Include larger buttons, accessible menus, and touch-friendly interfaces that accommodate users with motor disabilities or those who use assistive technologies.

https://userway.org/blog/web-accessibility-lawsuit/

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Agentic AI Content Lifecycle Curator

CHALLENGE

Features & Functionality

Freshness scoring (engagement + last update).
Duplicate/outdated content detection.
Retirement/refresh recommendations.
Image compression suggestions.
Dashboard with quick lifecycle actions

Business Value:

ROI: Lower storage/CDN costs.
Efficiency: Editors save time managing bloat.
Customer Impact: Faster websites, clearer navigation, better UX.

Industry

Higher education, government, enterprise B2B → large content repositories.

Goals

Retire or refresh underperforming content.
Performance optimization support for updated/new content
Reduce storage/hosting costs through content reduction.

Features & Functionality:

Freshness scoring (last update, engagement/page views).
Lifecycle automation: retire or unpublish. Automated/Upon approval with natural language prompt field
AI-generated rewrite/refresh/merge suggestions. Based on Freshness scoring.
Performance optimization: compress oversized images, flag unoptimized components. Focus on updating/creating pages.

Technologies Used

Scalability

Works across large multi-brand XM Cloud tenants.
Extensible to Content Hub DAM for asset lifecycle cleanup.
Extensible to Search for usage-based scoring.

XMC

Stream

The Solution

An XM Cloud curator agent that audits content freshness and performance, unpublishes or recommends updates for underperforming content, and optimizes oversized images or unoptimized components.

The Problem

XM Cloud sites accumulate redundant/outdated content, confusing customers, inflating storage costs, and reducing SEO. Marketers waste time maintaining content libraries instead of creating new value.

Personalize

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Landing Page Generator

CHALLENGE

Features & Functionality

Guided Q&A to capture campaign details.
Page generation with chosen template.
SEO + accessibility compliance baked in A/B/n test variant suggestion.

Business Value:

ROI: Reduces landing page build time from days to minutes.
Efficiency: Frees marketers from dependency on dev/design.
Customer Impact: Faster campaign launches → higher conversions

Industry

Retail, B2C, SaaS marketing teams

Goals

Generate functional blueprints of a new landing page.
Generate on-brand content (winner structure)
Build the page with predefined components and assets
Publish gate validation
Offer at least 2 variant for A/B testing on all campaign pages (measure: generated experiment setups)

Technologies Used

Scalability

Works across multiple campaigns/brands in XM Cloud.
Extensible to Personalize (A/B test results summaries).
Extensible to Send (email campaign reports).

XMC

Stream

The Solution

An XM Cloud agent that generates landing pages based on marketer prompts. Triggered by a CTA (“Create Landing Page”), it asks a few guided questions (type of page, product info, template preference, image selection) and builds an SEO-optimized, accessibility-compliant landing page.

The Problem

Marketers spend days coordinating designers and developers to build campaign landing pages, delaying time-to-market.

Personalize

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Agentic AI SEO Optimizer

CHALLENGE

Features & Functionality

Metadata + schema generator.
Internal link recommendations.
IA metadata creation for search optimization.
Keyword validation with Stream.

Business Value:

ROI: 20–40% more organic traffic.
Efficiency: Saves marketers 30–45 minutes per page.
Customer Impact: Improved discoverability, stronger CTR.

Industry

Retail, media, B2C → organic traffic is business-critical.

Goals

Ensure 90% of all new pages include SEO metadata/schema within 3 weeks (measure: MCP publish log checks).
Generate IA search metadata for 90% of new content within 1 month (measure: MCP metadata presence).
Achieve 5–10% CTR uplift on optimized pages within 1 month (measure: Google Search Console).

Technologies Used

Scalability

Works across large multi-brand XM Cloud tenants.
Extensible to Content Hub DAM for asset lifecycle cleanup.
Extensible to Search for usage-based scoring.

XMC

Stream

The Solution

An SEO agent in XM Cloud that auto-suggests titles, meta descriptions, schema markup, and internal links during content creation. Extends to creating metadata for information architecture (IA) and search indexing.

The Problem

Marketers miss SEO opportunities during content creation in XM Cloud. Missing metadata, broken schema, and weak internal linking result in lost traffic and costly rework.

SEO is often handled post-publishing, leading to lost organic traffic, inconsistent optimization across regions, and a reactive workflow that slows content teams down.

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Project timeline

CHALLENGE

	Week 35	Week 36	Week 37	Week 38	Week 39	Week 40	Week 41	Week 42	Week 43	Week 44	Week 45
PROPOSAL
FINALISTS ANNOUNCEMENT
DEVELOPMENT
RESULTS
PRESENTATION

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Staffing Plan

STAFFING

WEEK	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
PM	0.1		0.1	0.1	0.1	0.1	0.1		0.1	0.1	0.1
Tech Arch
BE Dev	0.2		0.5	0.5	0.5	0.5	0.5		0.1	0.1	0.1
FE Dev					0.25	0.25
QA						0.25
TOTALS	0.3		0.6	0.6	0.85	1.1	0.6		0.2	0.2	0.2

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Thank You

Questions?

WWW.OSHYN.COM

888.483.1770 x100

HELLO@OSHYN.COM

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Agentic AI Compliance Guardian – “Autonomous brand-safe compliance enforcement”

CHALLENGE

The Outcome

Agentic AI Value: Proactively initiates compliance checks. Makes contextual decisions (e.g., when disclaimers are required).Auto-suggests rewrites and accessibility fixes. Escalates only high-risk issues, saving editorial time.

Stream Value: Stream validates fixes against glossary, tone, and sentiment rules — ensuring every compliant change remains brand-safe.

Business Impact:

Minimize risk of accessibility compliance lawsuits. (In 2025, 2,019 ADA website lawsuits so far)
Fewer compliance review hours.
Reduced legal/regulatory risk exposure.
Faster time-to-market for compliant content

Industry

All industries

Goals

Minimize accessibility compliance review time.
Ensure all text content published is according to brand, with no manual content review.
100% of Images uploaded through Sitecore have alt text generated.
100% of Image tags in Sitecore have alt text generated.
100% of CTA and Link integrity of created/updated pages
Minimize, flag, and suggest potential fix for the following accessibility non-compliance issues: Poor color contrast, Keyboard navigation missing, Missing form labels, Time-based media alternatives, Accessible mobile features.

Technologies Used

XMC

Stream

The Solution

The Compliance Guardian is an autonomous agent embedded into Sitecore that automatically scans new content pre-publish, flags compliance violations (WCAG, legal disclaimers?, brand tone), suggests fixes, implements some of the fixes automatically and blocks publication until major issues are resolved.

The scope will be on Updating/Creating content.

The Problem

Regulated industries face high risk of publishing non-compliant or off-brand content ACCESSIBILITY. Manual compliance checks are slow, inconsistent, and costly, leading to regulatory fines and delayed launches.�Surge in Lawsuits: In 2025, there have already been 2,019 ADA website compliance lawsuits filed, with projections suggesting that this number could reach 4,975 by the end of the year.

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Below are a few ADA requirements for websites that can help you avoid a lawsuit:

Missing image alt text: Alt text describes visual content critical for accommodating screen readers. The highly publicized Robles v. Domino’s Pizza, LLC, CA, cites this ADA violation, helping set a precedent for how ADA Title III applies to websites.

Poor color contrast: Low-contrast text is challenging for color-blind people and other vision-related disabilities. Ensure you’re using the proper contrast ratios.

Keyboard navigation: Some end users can’t navigate with a mouse, so keyboard accessibility should be an integral part of your design strategy. Websites should be entirely usable with a keyboard to meet ADA compliance.

Missing form labels: Every form entry must enable screen readers to convey related content.

Time-based media alternatives: If your website features videos or audio content, provide alternatives such as captions, transcripts, and audio descriptions. This ensures that users with hearing or visual impairments can still access the information in these media formats.

Accessible mobile features: As mobile usage continues to rise, ensuring your mobile site or app is accessible is crucial. Include larger buttons, accessible menus, and touch-friendly interfaces that accommodate users with motor disabilities or those who use assistive technologies.

https://userway.org/blog/web-accessibility-lawsuit/

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Agentic AI Content Lifecycle Curator

CHALLENGE

The Outcome

Agentic AI Value: Continuously monitors content and asset inventory.Decides optimal lifecycle actions (update, merge, retire, refresh).Generates suggested updates and rewrites.Performs automated performance audits (image compression, lazy loading, CDN suggestions) to improve Core Web Vitals like LCP.

Stream Value: Stream validates that all refreshed or auto-optimized content continues to reflect brand tone, sentiment, and compliance standards.

Business Impact:

20–30% reduction in redundant content.
Improved site performance metrics (LCP, CLS, FID) → better SEO rankings.
Lower maintenance and hosting costs.Improved navigation and discoverability.

Industry

Government, higher ed, enterprise B2B with large content inventories

Goals

Retire or refresh underperforming content.
Performance optimization support for updated/new content
Reduce storage/hosting costs through content reduction.

Features & Functionality:

Freshness scoring (last update, engagement/page views).
Lifecycle automation: retire or unpublish. Automated/Upon approval with natural language prompt field
AI-generated rewrite/refresh/merge suggestions. Based on Freshness scoring.
Performance optimization: compress oversized images, flag unoptimized components. Focus on updating/creating pages.
Core Web Vitals reporting dashboard.
IA Metadata creation

Technologies Used

XMC

Stream

The Solution

The Content Lifecycle Curator is an autonomous agent that continuously audits content for freshness, performance, and brand alignment. It flags outdated or low-performing items, recommends consolidation, refresh, or retirement, and proactively fixes performance bottlenecks (e.g., compressing oversized images).

The Problem

Enterprises face content bloat, with outdated and redundant assets that hurt SEO, confuse users, and increase operational costs. In addition, poor technical performance (large images, unoptimized assets) reduces Core Web Vitals such as Largest Contentful Paint (LCP), directly affecting rankings and UX.

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Agentic AI SEO Optimizer

CHALLENGE

The Outcome

Agentic AI Value: Predicts missing SEO elements before publishing.Provides contextual optimization suggestions in real-time.Balances keyword strategy with natural readability.Learns from editor approvals to refine future recommendations.

Stream Value: Stream ensures that SEO-driven optimizations stay on-brand, preventing keyword stuffing or tone-breaking metadata

Business Impact:

ROI: Increased traffic → stronger lead funnel.
Efficiency: Reduces rework from SEO audits.
Customer Impact: More discoverable and relevant content in search.

Industry

Retail, media, and B2C websites that depend heavily on organic reach

Features & Functionality:

Metadata & schema auto-suggestions.
Internal link recommendations.
Keyword/competitor integration via SEMrush/Ahrefs APIs.
Stream-validated optimizations.

Goals

Ensure 95% of all new content includes metadata + schema within 3 months of rollout.
Deliver 20% uplift in organic traffic within 6 months of adoption.
Increase click-through rates (CTR) on optimized pages by 15% within 6 months.
Reduce post-publish SEO fixes by 80% within the first quarter..

Technologies Used

MCP

XMC

Stream

The Solution

The SEO Optimizer is an autonomous agent embedded in Sitecore that proactively suggests SEO best practices — including titles, meta descriptions, schema markup, and internal linking — directly during the authoring process.

The Problem

SEO is often handled post-publishing, leading to lost organic traffic, inconsistent optimization across regions, and a reactive workflow that slows content teams down.

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