MarketingManaged AI Agents
Marketing AI Agents,
Monitored for Brand Safety
Nestack Agent Care helps marketing teams monitor, evaluate, and optimize AI agents used for content creation, campaign automation, targeting, and performance reporting — before small AI errors become brand, consent, or compliance problems.
Scope
Marketing AI agents we build & manage
Content & channels5
Performance & insight3
Risk & consent2
Observability
What we make observable
Every marketing agent session is traced across ten layers — what we capture and the evidence we keep.
- Evidence we keepGoalconstraintsapproval requirement
- Evidence we keepSourceversiontimestamprelevancecitation
- Evidence we keepPlanned sequenceactual sequenceworkflow status
- Evidence we keepTask statusresultretryfailure reason
- Evidence we keepTool nameversioninputoutputpermissionresult
- Evidence we keepModel/versioninput/outputtoken usagelatencycost
- Evidence we keepEvaluation typemetricthresholdresult
- Evidence we keepGuardrail targettriggeractionenforcement result
- Evidence we keepReviewerdecisioncorrectionreason
- Evidence we keepOutcome statusbusiness resultlinked trace
Catalog
Failure modes
Filter failure modes by where they occur in the agent lifecycle—from goals and retrieval to tools, evaluations, guardrails and outcomes.
Core catalog
MKT-01Unsubstantiated product or performance claims in generated contentSEV-1
MKT-02Off-brand, offensive or tone-deaf content publishedSEV-2
MKT-03Trademark, image or music misuse in creativeSEV-2
MKT-04Consent violations — messaging suppressed, lapsed or never-consented contactsSEV-1
MKT-05Metric hallucination in campaign reportingSEV-2
MKT-06Audience-data privacy misuse — over-collection, unlawful enrichmentSEV-1
MKT-07Launch/embargo leaks in scheduled or generated contentSEV-2
MKT-08Injection via UGC, comments and inbound repliesSEV-2
MKT-09Personalization mis-merge — wrong name, segment or offer rendered in sendsSEV-2
MKT-10Dark-pattern copy — fake scarcity, countdowns and pre-ticked consent in generated assetsSEV-2
MKT-11Promotion-term errors — codes, eligibility, expiry misstated in campaignsSEV-2
MKT-12A/B-test misreads — winners declared on noise, budget shifted on bad statsSEV-3
MKT-13Missing disclosure labels — sponsored, affiliate or AI-generated content unlabeledSEV-2
MKT-14Send-volume runaway — duplicate or looping sends hitting the same contactsSEV-2
Creative & brand content
MKT-15AI-provenance backlash — audiences reject the use of AI itselfSEV-2
MKT-16Generation artifacts or real-world errors shipped in creativeSEV-2
MKT-17AI enters the pipeline unnoticed — brand falsely denies AI useSEV-2
MKT-18AI-washing — overstated AI role or capability claimsSEV-2
MKT-19Synthetic humans modeling real products — deception and labor backlashSEV-2
MKT-20AI imagery overpromises a real-world experienceSEV-2
Synthetic identity & manufactured social proof
MKT-21Likeness or voice cloning without consent — right-of-publicity liabilitySEV-1
MKT-22AI-fabricated reviews, testimonials and social-proof signalsSEV-1
MKT-23Synthetic personas presented as real people to build trustSEV-2
MKT-24Bot denies or conceals being a bot in commercial chatSEV-2
MKT-25AI voice in outbound calls reclassified as robocalls (TCPA)SEV-1
Conversational commitments & conversation privacy
MKT-26Hallucinated offers and policies legally bind the companySEV-1
MKT-27Chat/voice AI vendor becomes an unlawful third-party listener (wiretap)SEV-1
Legal status of generated output
MKT-28AI-generated brand assets are uncopyrightable — no exclusivitySEV-2
MKT-29Regurgitation — output reproduces third-party text, images or marksSEV-1
MKT-30Defamation in agent-drafted content about competitors or peopleSEV-1
MKT-31Missing machine-readable provenance in generated assetsSEV-2
Paid media & programmatic agents
MKT-32Optimization routes spend to MFA junk and AI content farmsSEV-2
MKT-33Black-box placements beyond intent — porn, piracy, sanctioned sitesSEV-1
MKT-34Automated placement adjacent to extremist or hateful contentSEV-2
MKT-35Ad-delivery algorithms discriminate on protected characteristicsSEV-1
MKT-36Platform bidding bugs burn budgets with controls disabledSEV-2
MKT-37Spoofed or fraudulent inventory defeats buyer and verification layerSEV-2
MKT-38Automated targeting violates children's-privacy constraintsSEV-1
MKT-39Platform enforcement AI mass-bans legitimate accountsSEV-3
MKT-40Black-box campaigns cannibalize owned demand and inflate reported liftSEV-3
SEO & published content
MKT-41Scaled AI content triggers search spam penalties — domain deindexedSEV-2
MKT-42Factual-error rate at scale in AI-drafted editorial contentSEV-2
MKT-43Raw model boilerplate and template debris published liveSEV-3
MKT-44Fabricated citations, statistics and URLs in thought leadershipSEV-2
MKT-45Nobody monitors what AI search says about the brandSEV-3
Data, security & agent operations
MKT-46Shadow AI — confidential campaign/customer data pasted into public LLMsSEV-1
MKT-47Martech AI vendor compromise exposes the CRMSEV-1
MKT-48Poisoned CRM records hijack downstream agents (injection at rest)SEV-1
MKT-49Destructive unauthorized agent actions on marketing systemsSEV-2
MKT-50Model deprecation and prompt drift silently break automationsSEV-3
MKT-51Synthetic respondents contaminate market research and strategySEV-2
A · Content-generation agents
KV-03Stale rendition read01 · RetrievalSEV-3
KV-04Mark asserted, not tested02 · ReasoningSEV-1
KV-06Provider duty read onto us02 · ReasoningSEV-1
KV-02Thin asset passed forward03 · Tool / writeSEV-1
KV-05Bound to the wrong master03 · Tool / writeSEV-2
KV-01Released, evidence unrecorded04 · OutputSEV-2
KV-07Silent marking regression05 · Change / VersionSEV-2
B · Email/SMS campaign agents
KZ-03Stale audience read01 · RetrievalSEV-3
KZ-04Suppression assumed, not tested02 · ReasoningSEV-1
KZ-06Cap read from one channel02 · ReasoningSEV-1
KZ-02Thin audience passed forward03 · Tool / writeSEV-1
KZ-05Bound to the wrong list03 · Tool / writeSEV-2
KZ-01Released, audience unrecorded04 · OutputSEV-2
KZ-07Silent suppression regression05 · Change / VersionSEV-2
C · Social-media & community agents
LE-03Stale thread read01 · RetrievalSEV-3
LE-04Disclosure asserted, not shown02 · ReasoningSEV-1
LE-06Reserved section worked as live02 · ReasoningSEV-1
LE-02Thin post passed forward03 · Tool / writeSEV-1
LE-05Bound to the wrong person03 · Tool / writeSEV-2
LE-01Published, instruction unrecorded04 · OutputSEV-2
LE-07Silent moderation drift05 · Change / VersionSEV-2
D · SEO & web-copy assistants
LI-03Stale page read01 · RetrievalSEV-3
LI-04Claim asserted, not sourced02 · ReasoningSEV-1
LI-06Ranking outcome promised02 · ReasoningSEV-1
LI-02Thin draft passed forward03 · Tool / writeSEV-1
LI-05Bound to the wrong page03 · Tool / writeSEV-2
LI-01Published, source unrecorded04 · OutputSEV-2
LI-07Silent template regression05 · Change / VersionSEV-2
E · Campaign-analytics copilots
LJ-03Stale extract read01 · RetrievalSEV-3
LJ-04Method dropped in transit02 · ReasoningSEV-1
LJ-06Modelled shown as observed02 · ReasoningSEV-1
LJ-02Thin reconciliation forwarded03 · Tool / writeSEV-1
LJ-05Bound to the wrong campaign03 · Tool / writeSEV-2
LJ-01Signed off, method unrecorded04 · OutputSEV-2
LJ-07Silent restatement05 · Change / VersionSEV-2
F · Paid-media & bidding agents
LK-03Stale budget read01 · RetrievalSEV-3
LK-04Exposure priced too low02 · ReasoningSEV-1
LK-06Platform advice read as neutral02 · ReasoningSEV-1
LK-02Thin proposal passed forward03 · Tool / writeSEV-1
LK-05Bound to the wrong line03 · Tool / writeSEV-2
LK-01Applied, approval unrecorded04 · OutputSEV-2
LK-07Silent authority drift05 · Change / VersionSEV-2
G · Conversational brand agents
LL-03Stale surface read01 · RetrievalSEV-3
LL-04Disclosure asserted, untested02 · ReasoningSEV-1
LL-06Provider role read as settled02 · ReasoningSEV-1
LL-02Thin record passed forward03 · Tool / writeSEV-1
LL-05Bound to the wrong session03 · Tool / writeSEV-2
LL-01Approved, disclosure unrecorded04 · OutputSEV-2
LL-07Silent disclosure regression05 · Change / VersionSEV-2
H · Market-research copilots
LN-03Stale source read01 · RetrievalSEV-3
LN-04Fabricated citation02 · ReasoningSEV-1
LN-06Vendor claim run neutral02 · ReasoningSEV-1
LN-02Thin finding passed forward03 · Tool / writeSEV-1
LN-05One chain counted repeatedly03 · Tool / writeSEV-2
LN-01Accepted, source unrecorded04 · OutputSEV-2
LN-07Silent sourcing regression05 · Change / VersionSEV-2
I · Marketing risk-assessment agents
KD-03Stale activity read01 · RetrievalSEV-3
KD-04Trigger missed on launch02 · ReasoningSEV-1
KD-06ADMT scope read too widely02 · ReasoningSEV-1
KD-02Thin assessment passed forward03 · Tool / writeSEV-1
KD-05Bound to the wrong activity03 · Tool / writeSEV-2
KD-01Attested, evidence unrecorded04 · OutputSEV-2
KD-07Silent trigger regression05 · Change / VersionSEV-2
J · Consent & revocation-evidence agents
KE-03Stale suppression read01 · RetrievalSEV-3
KE-04Revocation read too narrowly02 · ReasoningSEV-1
KE-06Delayed limb read as live02 · ReasoningSEV-1
KE-02Thin file passed forward03 · Tool / writeSEV-1
KE-05Bound to the wrong contact03 · Tool / writeSEV-2
KE-01Sent, consent unevidenced04 · OutputSEV-2
KE-07Silent clock regression05 · Change / VersionSEV-2
Guardrails
Critical guardrails for Marketing agents
Ten controls that hold regardless of prompt, plan or pressure. Open one to see what it protects, what trips it, what the agent is forced to do, who may release it, and what is written to the record.
GR-01No claim published without substantiation on fileOverride defined
Target
Generated ads, landing pages, emails and thought leadership carrying product or performance claims
Trigger
Any factual claim, statistic or citation lacking a linked substantiation record
Action — enforced
Platform blocks publish and scheduling; agent may route the draft with claim list to legal review
Human override
Marketing compliance lead approves per claim via the substantiation register
Logged evidenceclaim text · substantiation doc id · approver identity · asset hash · publish timestamp
GR-02No cross-audience identity merge outside consented scopeNo override
Target
CRM profiles, enrichment feeds and segment stores across all audiences and brands
Trigger
Any join, enrichment or personalisation call combining identity data beyond its recorded consent scope
Action — enforced
Platform denies the merge at the identity layer; agent works only within each consented segment
Human override
None — cannot be overridden in session
Logged evidenceprofile ids · consent scope version · denied join query · requesting agent · timestamp
GR-03No instruction embedded in UGC or inbound replies ever executedNo override
Target
Comments, reviews, social mentions, inbound emails and CRM notes ingested by campaign agents
Trigger
Imperative or tool-directed language detected inside any externally sourced content under processing
Action — enforced
Platform strips and quarantines the instruction; agent treats the content as inert text for analysis only
Human override
None — cannot be overridden in session
Logged evidencesource content hash · quarantined instruction · detection rule id · channel · timestamp
GR-04No send to suppressed or never-consented contactsOverride defined
Target
Email, SMS and outbound-call lists across every campaign and automation flow
Trigger
Any recipient failing the suppression, lapsed-consent or channel-consent check at send time
Action — enforced
Platform drops the recipient and holds the batch report; agent may only queue re-permission workflows
Human override
Consent-programme owner releases per list after documented consent re-verification
Logged evidencelist id · dropped contact ids · consent status per contact · check version · send timestamp
GR-05No AI-fabricated reviews or testimonials publishedOverride defined
Target
Review platforms, testimonial modules, case studies and social-proof widgets under brand control
Trigger
Any generated review, testimonial, rating or endorsement not traceable to a verified customer
Action — enforced
Platform blocks publication under FTC 16 CFR Part 465; agent may only solicit real reviews
Human override
Legal counsel approves verified-customer content via the endorsement register
Logged evidencecontent hash · customer verification id · solicitation record · approver · publish timestamp
GR-06No voice or likeness synthesis without written consentOverride defined
Target
Generated audio, video and imagery depicting identifiable real people in brand creative
Trigger
Synthesis request or asset matching a real person without a consent record on file
Action — enforced
Platform blocks generation and distribution; agent may request a consent workflow with the named person
Human override
Brand legal approves per person via signed release stored in the rights register
Logged evidenceperson identity · consent document id · asset hash · model used · approval timestamp
GR-07No bot concealment in commercial chatOverride defined
Target
Customer-facing chat, voice and messaging surfaces operated by marketing agents
Trigger
Any session where automated status is denied, hidden or the disclosure label is absent
Action — enforced
Platform forces the AI disclosure banner and label; agent cannot answer until disclosure renders
Human override
Compliance officer adjusts disclosure wording only via the approved template library
Logged evidencesession id · disclosure render proof · template version · channel · timestamp
GR-08No spend routed to unverified or black-box placementsOverride defined
Target
Programmatic buying, PMax-style black-box campaigns and automated placement expansions
Trigger
Placement outside the verified inventory allow-list or failing brand-safety category checks
Action — enforced
Platform blocks the bid and freezes the line item; agent may propose allow-list additions for review
Human override
Media director approves per domain via the verified-inventory allow-list workflow
Logged evidenceplacement domain · verification result · blocked bid id · campaign id · approver · timestamp
GR-09No campaign re-execution without a deduplicating send ledgerOverride defined
Target
Send jobs, retry queues and automation loops across email, SMS and push channels
Trigger
Retry or repeat job whose recipients intersect the ledger inside the frequency window
Action — enforced
Platform deduplicates against the ledger and halts looping jobs; agent reports the collision upstream
Human override
Campaign operations lead re-releases per job after ledger reconciliation
Logged evidencejob id · ledger entries matched · suppressed sends count · retry cause · timestamp
GR-10No publication of agent-invented offers or policiesOverride defined
Target
Promotions, discount codes, pricing statements and policy answers in generated content and chat
Trigger
Any offer, term or policy statement without a match in the approved promotions catalogue
Action — enforced
Platform blocks the message; agent may answer only from catalogue text, since invented offers legally bind
Human override
Promotions owner adds terms via the catalogue change-control workflow
Logged evidenceoffer text · catalogue version · blocked message id · channel · timestamp
Oversight
Human review — triggers, decisions and evidence
When a defined risk trigger fires, the affected action is routed to a named reviewer. Every decision is recorded with its correction, escalation and final outcome for full traceability.
- ConfidenceLow-confidence claim check
- Financial impactCampaign budget change
- Identity / change riskAudience or consent change
- Irreversible actionSend, publish or launch
- Policy riskDisclosure or embargo conflict
- Safety controlGuardrail override
- Quality failureFailed critical evaluation
- Revieweridentity + role
- Decisionapprove / reject / amend
- Correctionwhat changed
- Escalationwho, why and severity
- Final outcomereleased / blocked / returned for rework
7 triggers · any one halts the agent
1 record · 5 fields, every time
Compliance
Regulatory mapping
- 01 Goal
- 02 Retrieval
- 03 Workflow
- 05 Tool
- 06 LLM
- 07 Evaluation
- 08 Guardrail
- 09 Human review
Claim substantiation
generated claims need substantiation on file; AI-capability claims too.
FTC / ACCC
Lifecycle layer:01 Goal · 02 Retrieval · 06 LLM · 07 Evaluation · 09 Human review
- MKT-01
- MKT-18
Hard deadline: EU AI Act Article 50 and California SB 942 both take effect August 2, 2026 — generated assets must carry machine-readable AI-provenance marking. Pipeline audit required before that date (MKT-31).
Evaluations
Baseline evaluation suite — in detail
Baseline evaluations are completed during onboarding and repeated based on the selected plan. Agents that fail critical checks remain restricted until they pass re-testing.
- Detailed case sets
- 39
- Failure modes covered
- 51
- Retired & rotated / quarter
- 10%
- Audit-ready scorecard
- Monthly
Output evaluation3 suites · 180 cases
100 casesClaim substantiationcatches MKT-01
80 casesBrand & tone rubriccatches MKT-02
60 casesConsent & list hygienecatches MKT-04
60 casesIP & rights checkscatches MKT-03
60 casesMetric accuracycatches MKT-05
40 casesEmbargo controlcatches MKT-07
40 patternsUGC injectioncatches MKT-08
60 casesMerge-render setcatches MKT-09
40 casesDark-pattern screencatches MKT-10
60 casesOffer-integrity setcatches MKT-11
40 casesExperiment-readout setcatches MKT-12
40 casesDisclosure-label setcatches MKT-13
40 casesSend-throttle setcatches MKT-14
60 casesAudience-data boundary setcatches MKT-06
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Department lead review
For applicable high-risk agents, the client’s designated department leader reviews the evaluation criteria and pass thresholds before baseline approval.
Test-case rotation
Evaluation cases are refreshed regularly to reduce memorisation and maintain reliable performance measurement.
Scorecard integration
Scorecards track results against the approved baseline and flag material declines for review and escalation.
Department-specific extensions
Where included in scope, evaluations may be expanded using approved workflows, tools, templates, policies, and incident history.
Monitoring
Change-aware monitoring
When agent performance changes, Nestack correlates the shift with changes to the agent, prompt, model, tools, knowledge base, guardrails and evaluation suite.
- Week 1 · 98.3%
- Week 2 · 98.2%
- Week 3 · 98.4%
- Week 4 · 98.3%
- Week 5 · 98.5%
- Week 6 · 98.3%
- Week 7 · 98.4%
- Week 8 · 92.6%
- Week 9 · 92.4%
- Week 10 · 98.3%
- Week 11 · 98.4%
- Week 12 · 98.5%
Week readouthover or select
Week 8of 12
- 02Promptpset 2026.07-a
92.6%Claim-substantiation rate
- 7 layers stamped on every run · 12-week window
- Catches MKT-50 · model deprecation and prompt drift
Something missing?
Don’t see your agent’s issue here?
Every AI environment is different. Share what you’re seeing, and we’ll review the behaviour, assess the risk and recommend the evaluations or controls that may help.
No commitment. Even if you never become a client, we’ll tell you what we think is happening.
Process
Universal incident runbook
Severity is assigned based on business impact, customer harm, data exposure, operational disruption and overall scope.
- SEV-1 Critical
- SEV-2 Major
- SEV-3 Moderate
- SEV-4 Minor
Automated monitoring or human review identifies unusual behaviour. Alerts are recorded and routed according to severity.
Cost control
Keep marketing AI agent costs under control
Token spend is monitored, optimised and reported as part of Agent Care — and savings never come at the expense of quality, because every change is verified against your evaluation baseline.
We review token spend by agent, workflow, model, and session so you can understand where AI costs are coming from.
Running marketing AI agents in production?
Get a free assessment of one agent. We’ll review its behaviour, run a baseline evaluation and highlight potential risks and performance gaps.
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