From the College Athletics edition of October 9, 2026
Northwest Missouri State Athletics uses FanWord for most recaps in under a minute, alongside AI graphics errors and no written AI policy
Northwest Missouri State University Athletics / Northwest Missourian · NCAA Division II athletics communications and marketing (MIAA) · United States (Maryville, Missouri)
- Publisher
- Northwest Missourian
- Original publication
- October 7, 2026
- Source retrieved
- 2026-10-10
What happened
The Northwest Missourian reports AD Andy Peterson bought a three-year FanWord plan last year; Assistant AD Colin McDonough uses it for most game recaps. He writes one or two paragraphs, plugs in NCAA stats, FanWord generates the recap (under one minute versus hours previously) and an XML file, and he double-checks names and statistics. Coaches use generative AI for graphics and recruit messages; an official football infographic showed a player with six fingers and a booster group graphic showed a six-toed paw. Neither Athletics nor University Marketing has a written AI policy; marketing staff note AI errors on dates and brand misuse.
Why it matters
Why now: published Oct 7, 2026, not archived, and it is a Division II operational account that surfaces quality failures and a governance gap (no written policy) rather than only Division I backlash. Interpretation: smaller departments adopt AI for capacity reasons before governance catches up.
Evidence and measured results
Student newspaper article quoting AD, assistant AD for media relations, a head coach and the digital content manager. Time savings are self-reported; no error rates, cost or audit data.
Limitations and uncertainty
Single student-newspaper account; self-reported efficiency; anecdotal error examples; no cost disclosed.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-09; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- A thinly staffed Division II department needs fast recaps and graphics but has no AI policy and has posted flawed AI images.
- Stakeholders
- Director of athletics
- Assistant AD for media relations
- Head coaches
- University marketing and communication
- Student media
- Discovery questions
- Which content types are AI-assisted today?
- Who reviews generated graphics before posting?
- Is there a written AI and brand-use policy?
- How is AI assistance disclosed?
- Value hypothesis
- A short policy and review workflow can keep recap time savings while reducing public visual and brand errors.
- Potential engagement
- A four-week AI-use policy and content-review workflow for one athletics department and its marketing partner.
- Unsupported claims
- Measured accuracy of FanWord recaps
- Quantified cost savings
- Vendor tools preventing graphic errors
Pre-sales engineering
Role takeaway
- Fit
- Small athletics shops with NCAA stats exports and a CMS accepting XML.
- Architecture and integration
- Stats export plus staff-written lead into vendor drafting, XML output to site; separate image generation tools.
- Prerequisites
- Stats export access
- Approved tool list
- Brand asset rules
- Constraints
- Single-staff review capacity
- No written policy
- Generic image tools outside vendor controls
- Security
- Restrict official-account posting rights; prohibit uploading athlete likenesses to unapproved tools.
- Proof of value
- Sample recaps reconciled to box scores
- Monthly graphics audit for visual errors
- Timed recap production on matched games
Delivery
Role takeaway
- Work
- Draft and operate an athletics AI-use policy with review checkpoints for text and graphics.
- Dependencies
- Athletics media relations
- University marketing
- Coaching staff buy-in
- Ownership
- Assistant AD for media relations with university marketing for brand rules.
- Skills and adoption
- Train coaches and student staff on approved tools and visual review.
- Governance checkpoints
- Policy approval by AD
- Pre-post visual review
- Quarterly audit of AI-assisted content
- Acceptance criteria
- Proposed: written policy adopted within one month
- Proposed: zero uncorrected visual errors on official accounts per quarter
- Proposed: 100% of AI recaps carry a recorded name/stat check
- Risks
- Brand damage from flawed images
- Over-reliance by single staffer
- Policy ignored by coaches
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
Vendor drafting fed by NCAA stats exports producing XML for the athletics site; generic image generators used ad hoc outside the vendor workflow.
Governance
Who approves, reviews and stays accountable for outcomes?
No written AI policy in athletics or marketing; brand/logo control and visual-accuracy review are informal.
Security and privacy
What data, permissions and controls need testing?
Low data sensitivity for public stats, but uncontrolled generative tools risk brand and likeness misuse.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
AI fills capacity after a marketing departure; marketing staff warn against AI becoming a crutch for student skills.
Procurement
What should contracts, pricing and exit terms secure?
Multi-year vendor plan bought at AD level; generic AI tools used without procurement review.
Operating model
Which teams own the service once it runs?
Coaches produce their own AI graphics outside the communications workflow.
Publication history
- 2026-10-09College Athletics · Issue 332 resources
Stable resource ID: northwest-missouri-bearcat-athletics-fanword-ai-graphics-no-policy-2026-10-07