AI deal ops for sports sponsorships
We built AI deal operations for a sports-tech startup: contract ingestion, automatic conflict detection and one ledger for every sponsorship deal.
What we worked on
Revenue Ops & Deal Desk Automation AI Contract Ingestion B2B SaaS Platform
Year completed
2025–2026
Background
A sports-tech founder sells a platform that runs sponsorship deals between brands, athletes and universities. It is deal operations for a regulated market, where every contract has to stay in line with institutional rules.
Challenges
Sponsorship deals were tracked across contracts, emails and spreadsheets, and deal terms had to be cross-checked by hand for compliance. There was no single ledger across brands, athletes and universities.
Outcome
One platform where AI ingests contracts and deal records, a CSV import routes records straight into deals, and conflict detection compares contracts, emails and platform data automatically. Compliance review, deliverable tracking and a university deal ledger with reporting sit on top. The founder's verdict on conflict detection: it removes human error.
A sports-tech startup in college athlete sponsorships (name withheld)
Name withheld
AI deal ops for college sports sponsorships: contracts ingested by AI, conflicts flagged automatically, every deal on one ledger
~1 year
Continuous build partnership, ongoing
2
Product tiers built: core and enterprise
Dec 2026
Founder demoing the platform to prospects at a conference
Pull quote
I truly appreciate the effort and personal commitment you've put into creating something spectacular.
Founder, sports-tech startup (November 2026)
Snapshot
Industry
Sports tech: athlete sponsorship and compliance (B2B SaaS)
Services
Product build, ongoing sprints, AI document ingestion, payments migration, security groundwork
Duration
Late 2025 to present (about one year, ongoing)
Before
Deals tracked across contracts, emails and spreadsheets, manual cross-checking of terms for compliance, and no single ledger across brands, athletes and universities.
After
AI ingestion and CSV import feed deals into one pipeline, conflicts are flagged automatically across contracts, emails and platform data, and a deal ledger reports by brand, athlete, agent and sport.
Timeline
Late 2025
Engagement starts
Core platform build begins.
2026
Deal lifecycle and compliance
Compliance review, notifications, analytics module and athlete discovery.
Sep 2026
Payments migration
Payments moved to a new provider.
Oct 2026
AI deal ops
AI deal ingestion, conflict detection and the university deal ledger.
Nov 2026
Demo-ready
Demo-ready build, with a conference demo planned for December.
What we designed
A deal platform for brands, athletes and universities: the deal lifecycle from presigned contracts to closed deals, athlete rating, compliance review, deliverables and deadlines, branded notifications, analytics and module entitlements by plan.
Athlete discovery, plus an enterprise tier with transparency, deal chats, reporting and wallet features.
Why this work existed
The founder needed a single source of truth for sponsorship deals that protects every party (the institution, the brand and the athlete) and replaces manual cross-checking.
What we built
Core and enterprise tiers with the full deal lifecycle, compliance review, a closed-deals view and branded notification emails.
Analytics, module entitlements, athlete discovery and deadline-versus-deliverable flagging.
AI contract and deal ingestion, CSV upload that routes records into deals, and conflict detection across contracts, emails and platform data.
A payments migration and security groundwork.
The problem this solved
We replaced manual, error-prone deal tracking with one platform that keeps contracts, compliance and deliverables in sync for every party, with AI doing the document intake and conflict checks.
FAQ
Where is AI used?
AI ingests contracts and deal records into the platform, and conflict detection compares contracts, emails and platform data to flag problems before they become compliance or revenue issues.
What does this mean for revenue operations?
Every deal lives on one ledger with reporting by brand, athlete, agent and sport, so the team can see pipeline, deliverables and compliance status in one place.
Are revenue or time-saved figures available?
Not yet. The founder praises the product, but we have no measured outcomes, so we don't claim any.
Who is this kind of engagement for?
Teams running high-volume, compliance-heavy deals such as sponsorships, partnerships or licensing, who need AI to ingest documents and flag conflicts.
