Screenshot of the Sponsorship activation evidence desk interactive demo
Screenshot of the interactive demo, on sample data

Sponsorship activation evidence desk

Verify deliverables before debating sponsorship effectiveness.

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For
Brands sponsoring niche events
Solves
Sponsorship reports contain photos without proof of agreed delivery.
Delivers
Sponsorship fulfillment evidence pack
Built in
about 4 weeks of creation time, MVP in 4 days
Investment
$12,000 for the MVP, $41,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For brands sponsoring niche events, turn sponsorship agreements and organizer-supplied evidence into sponsorship fulfillment evidence pack.

  1. Extract agreed placements.
  2. Match submitted evidence.
  3. Flag missing proof.
  4. Compare dates.
  5. Draft clarification requests.
  6. Export delivery report.

What goes in, what comes out

What the customer puts in
  • Sponsorship agreements
  • Organizer-supplied evidence

AI drafts, people review. Evidence review and quality assurance workspace.

What the customer gets
  • Sponsorship fulfillment evidence pack
02

How it works

The workflow

  1. In
    Start with

    Sponsorship agreements and organizer-supplied evidence

  2. 1

    The buyer creates a project

  3. 2

    Supplies sponsorship agreements and organizer-supplied evidence

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Sponsorship fulfillment evidence pack

AI does the heavy lifting, people stay in charge

Match assets to obligations with source links. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

What your team sees

Key screens: Obligation map, Evidence review, Follow-up queue. Open on a review queue ordered by reviewer-selected priorities. Show each finding beside the original evidence and applicable rule. Provide accept, dismiss and needs-information controls with reasons. A separate report view summarizes confirmed findings and unresolved items, not raw AI flags. Open with obligation map; move into evidence review for the detailed task; finish in follow-up queue for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Versioned review criteria, evidence links, reviewer decisions, disagreement handling, correction assignments, recheck status and exportable review history. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.

Integrations and data access

Approved brand material, campaign exports and authorized customer research. Source repositories, task trackers and report exports. Keep findings as review proposals until authorized owners accept the resulting actions. Begin with uploads and exports of sponsorship agreements and organizer-supplied evidence. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    4 days

    One buyer segment, one recurring use case; first modules: extract agreed placements; match submitted evidence. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    5 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    9 days

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will brands sponsoring niche events use it to solve "sponsorship reports contain photos without proof of agreed delivery"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
  4. Measure, then decide. Track unsupported deliverables and reporting time. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Fulfillment review; no audience reach estimation without evidence. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract agreed placements; match submitted evidence. Support the third task through an assisted review queue: flag missing proof. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of sponsorship fulfillment evidence pack. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

After the MVP. After paying customers repeatedly accept sponsorship fulfillment evidence pack, automate compare dates; draft clarification requests; export delivery report. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Fulfillment review; no audience reach estimation without evidence.

What the build depends on. Evidence coordinates, versioned rules, reviewer decisions and a representative reference set. Measure misses as well as confirmed findings before scaling. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Fulfillment review; no audience reach estimation without evidence.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: extract agreed placements; match submitted evidence. Manual review in the loop.

    $12,000 · about 4 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $12,000 · about 5 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $17,000 · about 9 days of creation time

Indicative total, MVP to full product$41,000about 4 weeks of creation time · start with the MVP from $12,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$80–$160$110–$220
Full productabout 50 customers$110–$210$880–$1,750$990–$1,960
05

Run it or resell it

Internally

For your own team

Brands sponsoring niche events run it inside the business: sponsorship agreements and organizer-supplied evidence in, sponsorship fulfillment evidence pack out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#2a2791
  • accent#c9b654
  • surface#e5e4f1
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Energetic, specific, results-minded
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 500-2,000 for a defined audit sample and report. Offer recurring review priced by reviewed items and specialist hours. Software-only access can follow a reliable reviewed service. All prices require validation. For this buyer, package the first sale around review one completed event sponsorship and the defined sponsorship fulfillment evidence pack. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Verify deliverables before debating sponsorship effectiveness. Demonstrate the result with review one completed event sponsorship for brands sponsoring niche events. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Brand partnership teams and sponsorship agencies

Lead magnet

Review one completed event sponsorship

The first 30 days

  1. Week 1: interview five prospective buyers from brands sponsoring niche events and inspect how they handle sponsorship reports contain photos without proof of agreed delivery.
  2. Week 2: prepare review one completed event sponsorship using authorized or synthetic material.
  3. Week 3: share the demonstration through brand partnership teams and sponsorship agencies and seek one bounded paid pilot.
  4. Week 4: measure unsupported deliverables and reporting time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run review one completed event sponsorship and deliver sponsorship fulfillment evidence pack. Compare unsupported deliverables and reporting time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Unsupported deliverables and reporting time

Retention and expansion

Build repeat use around sponsorship fulfillment evidence pack. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unsupported deliverables and reporting time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Why clients would pick it

A domain-specific review rubric and rights-cleared examples of confirmed defects, false alarms and reviewer reasoning. For this concept, accumulate permissioned examples and reviewer corrections around verify deliverables before debating sponsorship effectiveness. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Manual reviewers, checklists, generic scanning tools and specialist audit services. Position this concept around verify deliverables before debating sponsorship effectiveness. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Document or media processing, model evaluation, expert review, false-positive handling, rechecks and customer-specific rubric calibration. Initial validation additionally budgets for partnership manager review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. Fulfillment review; no audience reach estimation without evidence. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

Get this solution built

Built for you by our AI software factory, MVP in about 4 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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