Sports & Fitness AI agent · Fan engagement

Fan-Engagement & Conversational-Support AI Agent

Answer matchday, wayfinding and account questions from the sources the venue configures, say it is an agent when a conversation opens, and pass safety, refunds and accessible seating to named venue staff.

Typical delivery
4–6 weeks
Deployment
Your stack
Named handover
Agent-disclosed
After launch
Agent Care

What this agent does

Answers the question, not the incident

In

  1. 01

    Ingesting fan messages alongside the matchday pack, venue map and ticket records the club configures as sources.

  2. 02

    Normalising fixture, gate, block and seat references, and carrying each answer forward with its source.

Reason

  1. 03

    Answering matchday, wayfinding and account questions from those configured sources.

  2. 04

    Identifying itself as an agent when a conversation opens, and handing over on request.

  3. 05

    Applying the accessibility regime the venue is under, public or private.

Decide

  1. 06

    Routing accessible-seating enquiries onto the venue's dedicated seating path.

  2. 07

    Handing a medical or safeguarding report to a named person at once, untriaged.

Out

  1. 08

    Retaining the question, the source it was answered from, the disclosure and the handover per conversation.

  2. 09

    Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

The agent answers and signposts; a named steward or box-office lead decides anything touching money, a seat or a safety response.

Example workflow

One question, arrival to handover

  1. 1Question receivedMatchday chat, club app, web widget, social message or venue kiosk
  2. 2Sources assembledMatchday pack, venue map, fixture data and the ticket record on file, each with its source
  3. 3Answer preparedAnswer, wayfinding steps, flagged lines and confidence
  4. 4Controls appliedSource checks, accessible-seating routing, safety-intent detection, disclosure check and confidence threshold

No human action required

Stages 1 to 4 run unaided, and nothing is refunded, transferred or allocated — the agent is answering, and the steward's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Answers the fan and offers a person.

Low confidence

Adds a steward read first.

Steward handover

The conversation is held with its sources, its flagged lines and the confidence.

Approve · Amend · Hand to the box office

Approved — sent to the fan

  1. 6Support systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedAnswer accuracy, handover reasons, repeat questions and corrections made after the fixture

Amendments

Every steward amendment is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Refunding, crediting or repricing a ticket.
    • Transferring, reissuing or voiding a ticket.
    • Allocating or releasing accessible seating.
    • A medical, crowd-safety or safeguarding report.
  • Automation boundary

    Agent acts unaided

    • ✓Answer matchday and venue questions from the configured sources.
    • ✓Give wayfinding and gate directions from the venue map.
    • ✓Look up a ticket or account where the venue has connected one.
    • ✓Say it is an agent, and hand over to a person on request.

    Any write happens inside the boundaries agreed at implementation, never ahead of a person's decision.

    • Ejection, ban and disputed-entry decisions.
    • Quoting a price or fee not on the published card.
    • Committing the club to compensation or goodwill.
  • Changes to source, escalation or disclosure rules.

Example output

One conversation, annotated

Everything the agent answers is attached to the source it was answered from.

Support output · single conversation

Illustrative example
Conversation
Matchday wayfinding
Answer given
Step-free route to Block 118 from Gate C, lift on the left
Gate and block
Gate C · Block 118
Source of record
Access map on file
Confidence
93%
Disclosure
Agent identified at open

As received

Taken from the venue access map and the fixture pack — nothing on this side is written by the agent.

Sources used

  • Venue access map
  • Matchday operations pack
  • Ticket record

Why this answer

It repeats the route the venue published and offers a person — the line the steward weighs.

What the score decides

Below the configured threshold the answer picks up a steward read before it reaches the fan.

Action

ApproveAmendHand to the box office

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every question

From the fan's channel

03Answering

Answer from the sources

Draw on the matchday pack, the venue map and the records the club configured.

01Approved path

Answer the concourse queue

Routine matchday and wayfinding questions are answered as they arrive.

02Human review

Send the rest to a person

Safety, money and accessible-seating intents go straight to the named person on duty instead.

04

Build an evidence trail

The question, the source it answered from and the steward who took it on stay together.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Ticketing and access

    • Ticketmaster
    • SeatGeek
    • AXS
    • Paciolan
    • Tixr
  • Fan channels

    • Club app
    • web chat
    • WhatsApp
    • SMS
    • social DM
  • Venue operations

    • Steward and incident systems
    • Matchday control room

Agent

Fan engagement and support

  • Reads the sources
  • Answers the question
  • Hands to a person
  • Service desk and CRM

    • Zendesk
    • Salesforce
    • Freshdesk
    • HubSpot
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the fan

Every control encloses the next. What survives the set is named in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modePull the agent back to signposting-only when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, source-pack and escalation-rule changes.Track
L4TraceabilityRecord the question, the source, the disclosure event and the handover time.Record
L3Steward handoverHold safety, money and seating intents for a named person; it governs who answers, not what is right.Gate
L2Policy guardrailsTest answers against configured sources, disclosure and seating-routing rules; a failure holds the answer.Restrict
L1Confidence thresholdsRoute low-confidence answers to a steward read before the fan sees them.Require review
Model coreAnswer produced — reply, wayfinding steps, flagged lines and confidence
L1 – L2
Test whether an answer may go
L3
Puts the conversation in a steward's hands
L4 – L5
Keep the answer and the source behind it
L6
Falls back to signposting when signals degrade

How Nestack evaluates it

Evaluate the whole conversation — not only the sentence that closed it.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the answer the fan reads

  1. E1Final-output evaluationDid the answer match the source it was drawn from?
  2. E2Step-level evaluationDid the agent read the right fixture, venue map and record?
  3. E3Tool evaluationDid a lookup hit the correct ticket and the correct account?
  4. E4Confidence calibrationDo low-confidence answers actually attract more steward amendments?
  5. E5Slice evaluationHow does performance change across specific question types?
  6. E6Business outcomeHow many conversations needed a steward or a second attempt?

Floor — the exposure the venue carries

Failure modes

Where each failure originates in the agent

Seven failure modes, each placed where it first appears.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • FE-03

      Superseded matchday source

      Gate or access detail read from an earlier fixture's pack.

    Stage gathers

    Fan message, matchday pack, venue map and ticket record

  2. 02 · Reasoning

    2 modes

    • FE-04

      Accessible seat read as inventory

      An accessible-seating enquiry is answered on the general ticket path.

    • FE-06

      Safety intent read as a query

      An incident report is answered instead of handed to a person.

    Stage proposes

    Answer, wayfinding steps, flagged lines and confidence

  3. 03 · Tool / write

    2 modes

    • FE-02

      Answer beyond the sources

      The agent asserts what the configured pack does not carry.

    • FE-05

      Reply in the wrong thread

      An answer lands on another fan's conversation.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • FE-01

      Disclosure missed at the open

      A conversation starts without the agent naming itself as an agent.

    Stage returns

    The answer the fan reads and the venue answers for

  5. 05 · Change / Version

    1 mode

    • FE-07

      Silent escalation regression

      A model or rule change narrows what the agent hands over.

    Stage tracks

    Model, prompt, source pack and escalation rules

  • Sev-1 · acts outside the escalation boundary
  • Sev-2 · a wrong answer reaches the fan
  • Sev-3 · source degrades, answer routes to a steward
See the complete Sports & Fitness failure-mode catalogue

Affected slices

The total is calm; one question type is not

Across every conversation the steward-amendment rate looks settled; inside accessible-seating enquiries it runs several times that. Nestack reports the rate by slice, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Accessible-seating enquiries4.0%3.8×Review
Refund and transfer questions2.8%2.7×Review
Away-end and visiting fans2.0%1.9×Watch
Routine wayfinding questions0.7%0.7×Normal

Bar: steward-amendment-rate lift vs. routine-wayfinding baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

Nothing closes until a case exists

The loop closes on a case the next release must pass, not on an explanation. That suite is what the next answer given on a matchday is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Steward amendments rise in one question type.

  2. 02

    Diagnose

    The steward who took the conversation over reads it back until one cause is left.

  3. 03

    Improve

    The fix is versioned with the conversations that motivated it.

  4. 04

    Verify

    Nothing ships while an affected case is failing.

  5. 05

    Learn

    The case is added for good, and the matchday playbook changes.

  6. Learn → Detect

    The return edge. Every following fixture is measured against a longer suite.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, conversation workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Support workflow discovery and boundary definition.Week 1
  2. 02Ticketing and venue-source assessment.Week 1, Week 2
  3. 03Disclosure, escalation and accessible-seating mapping.Week 1, Week 2
  4. 04Source ingestion and matchday-pack.Week 2
  5. 05Answering logic and source binding.Week 2, Week 3
  6. 06Confidence scoring and handover routing.Week 3
  7. 07Steward handover workflow.Week 3, Week 4
  8. 08Ticketing and channel integration.Week 5
  9. 09Answer-accuracy cases.Week 4, Week 5
  10. 10Guardrails and escalation controls.Week 4
  11. 11Conversation-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne venue, one channelProductionProduction fan channelsAdvancedMultiple venues / clubs
Introduced at Pilot
Answers from your configured sources✓✓✓
Steward handover✓✓✓
Answer-quality baseline✓✓✓
Introduced at Production
Reporting by matchday and channel—✓✓
Handover workflow in your systems—✓✓
Approved write-back—✓✓
Ticketing-account integration—✓✓
Introduced at Advanced
Multi-competition rule sets——✓
Multi-stage venue approvals——✓
High matchday volume——✓
Multi-venue support controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, transaction volume, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your matchday sources and the questions fans actually ask

    Source ingestion and question mapping

    Week 1
  2. 02Representative answered conversations

    Answering baseline, source binding and disclosure wording

    Week 2
  3. 03Which accessibility regime your venue is under

    Disclosure, escalation and accessible-seating mapping

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Ticketing, channel and venue-source assessment, then integration setup

    Week 2
  5. 05Answers you would not want repeated

    Accuracy cases and the evaluation suite

    Week 4
  6. 06Where an answer must hand over to a steward

    Confidence scoring, handover routing, guardrails and escalation controls

    Week 3
  7. 07Named stewards and box-office staff to take handovers

    Steward handover workflow, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Each phase occupies the weeks it needs, so the fifth week carries two kinds of work.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Support workflow discovery, escalation mapping and the automation boundary

W2Channel integration and the answering baseline

W3Conversation workflow, confidence logic and handover controls

W4Evaluation suite, disclosure checks and failure-mode testing

W5Ticketing integration, pilot fixtures and targeted corrections

W6A run of fixtures supported under the matchday team, then handover

Reading the band
A band covers the weeks its work is named in, and no others. The week 5 overlap is real, not padding.
At the end of W6
The fixtures close validation and Agent Care assumes monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Sports & Fitness AI agent

Build a fan-engagement agent around the people who answer on matchday.

Show us your matchday sources, your channels and who takes a handover. Get a matchday answer wrong and it is repeated to thousands of fans inside the hour, so we set the boundary first.

Typical delivery
4–6 weeks
Deployment
Your ticketing and channels
Named handover
Agent-disclosed
After launch
Agent Care available

Nestack Agents · Fan engagement and conversational support

AGT-SF-12 · Agent Care available after launch

Build a fan-engagement agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your matchdays

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.