SalesManaged AI Agents
Sales AI Agents,
Monitored for Accuracy
Nestack Agent Care helps sales teams monitor, evaluate, and optimize AI agents used for lead qualification, outreach, quoting, and CRM updates — before small AI errors become inaccurate or off-policy commitments.
Scope
Sales AI agents we build & manage
Thirteen archetypes — from prospecting to speed-to-lead, deal-desk approvals and forecasting.
Lead generation3
- Outbound prospecting & SDR
- Inbound speed-to-lead
- Lead-enrichment & routing
Closing deals5
- Proposal & RFP-response
- Quote/CPQ
- Meeting-prep & follow-up
- Deal-desk & approval
- Contract-redlining
Pipeline & performance5
- Pipeline-hygiene
- Forecasting & revenue-signal
- Conversation-coaching
- Renewal & upsell
- CRM data-entry
Observability
What we make observable
Every sales 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.
SAL-01False or overstated product claims in proposals and outreachSEV-1
SAL-02Unauthorized discounts, terms or SLAs offeredSEV-1
SAL-03Cross-prospect data leakage — one account’s pricing/strategy to anotherSEV-1
SAL-04Pipeline-report hallucination — invented stages, values, close datesSEV-2
SAL-05Quote errors — pricing tiers, bundling, currencySEV-2
SAL-06Outreach-compliance violations — consent, opt-outs, calling hoursSEV-2
SAL-07Injection via prospect replies and uploaded RFP documentsSEV-1
SAL-08CRM corruption — notes on wrong opportunities, stages advanced without evidenceSEV-2
SAL-09Competitor disparagement — unverifiable knocks in outreach and battlecardsSEV-2
SAL-10Redline overreach — non-standard terms accepted beyond the playbookSEV-1
SAL-11Prospect misidentification — competitors, journalists or customers approached coldSEV-3
SAL-12Territory and routing violations — accounts double-touched across repsSEV-3
SAL-13Follow-up hallucination — invented commitments and next steps in recap emailsSEV-2
SAL-14Undisclosed-AI / bot-disclosure failure — agent passes as humanSEV-1
SAL-15Binding contract formation by an autonomous agentSEV-1
SAL-16Fabricated testimonials, reviews & customer logosSEV-1
SAL-17AI note-taker recording without consent & confidential over-captureSEV-1
SAL-18Algorithmic pricing collusion via pooled competitor dataSEV-1
SAL-19Unlawful data sourcing for prospecting — scraping & lawful basisSEV-1
SAL-20Automated lead-scoring bias — algorithmic redliningSEV-1
SAL-21AI-washing & AI-inflated pipeline in reported metricsSEV-2
SAL-22Third-party sales-AI integration breach — OAuth supply chainSEV-1
SAL-23Excessive agency via over-scoped CRM credentialsSEV-1
SAL-24Knowledge-base & battlecard poisoning (RAG)SEV-1
SAL-25Persistent memory & session-context contaminationSEV-1
SAL-26Insecure output handling — exfil links, XSS, phishing luresSEV-2
SAL-27Deepfake impersonation & agent-assisted BEC 2.0SEV-1
SAL-28MCP / plugin tool-poisoning supply chainSEV-1
SAL-29Shadow-AI sales tools on unmanaged accountsSEV-2
SAL-30KPI gaming — junk-meeting quota hacking (goal misgeneralization)SEV-2
SAL-31Sycophancy toward prospects — agreeing to false premisesSEV-2
SAL-32Strategic deception under quota pressureSEV-1
SAL-33Cascading multi-agent orchestration failure (SDR → CRM → quoting)SEV-2
SAL-34Human-in-the-loop rubber-stamping & approval fatigueSEV-2
SAL-35Silent model drift / regression after provider updateSEV-2
SAL-36Accountability & audit-trail gap — "who promised that?"SEV-2
SAL-37Self-disparagement — agent trashes its own company on the recordSEV-2
SAL-38Offensive or wrong hallucinated personalizationSEV-2
SAL-39Revenue cannibalization — outreach to existing customers & open oppsSEV-2
SAL-40Email deliverability collapse & domain-reputation burnSEV-2
SAL-41Stale-catalog actions — discontinued / EOL SKUs quotedSEV-2
SAL-42Meeting-scheduler timezone & double-booking failuresSEV-3
SAL-43Runaway agent loops — duplicate sends & cost blowoutSEV-2
Guardrails
Critical guardrails for Sales 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 discount or terms beyond delegated authorityOverride defined
Target
Quote generation, proposal terms, SLA commitments and discount fields in CPQ and CRM
Trigger
Draft quote or reply exceeding the rep’s delegation-of-authority matrix for discount, term or SLA
Action — enforced
Platform holds the quote unsent and strips the offending term; agent may request approval or offer in-matrix alternatives.
Human override
Sales VP via deal-desk approval recorded against the opportunity id
Logged evidenceopportunity id · requested vs authorized discount · matrix version · approver identity · UTC timestamp
GR-02No cross-prospect retrieval of pricing or strategyNo override
Target
CRM records, quotes, battlecards and negotiation notes partitioned per account and opportunity
Trigger
Retrieval or generation referencing one account’s pricing, terms or strategy inside another account’s session
Action — enforced
Platform blocks the fetch and scrubs session memory of foreign-account content; agent may use only current-account records.
Human override
None — cannot be overridden in session
Logged evidencesession id · blocked record ids · account partition labels · memory-scrub hash · block timestamp
GR-03No instruction embedded in prospect replies ever executedNo override
Target
Inbound prospect emails, uploaded RFP documents, calendar invites and attachments the agent parses
Trigger
Imperative or tool-directing text detected inside any prospect-supplied message, document or attachment
Action — enforced
Platform neutralizes the content to quoted data and refuses execution; agent may summarize it and continue the deal.
Human override
None — cannot be overridden in session
Logged evidencemessage id · detected instruction span · sender domain · sanitized copy hash · detection timestamp
GR-04No binding contract formation by the agentOverride defined
Target
Order forms, e-signature workflows, acceptance language in emails and chat across all deals
Trigger
Draft output constituting acceptance, signature or agreement to terms on the company’s behalf
Action — enforced
Platform blocks the send and watermarks drafts non-binding; agent may prepare the contract for a human signatory.
Human override
Commercial director via the e-signature platform’s recorded signing ceremony
Logged evidencedraft hash · blocked clause list · opportunity id · signatory of record · block timestamp
GR-05No unsubstantiated capability claims in proposalsOverride defined
Target
Proposals, outreach copy, battlecards and demo scripts making product capability or customer-proof claims
Trigger
Claim, testimonial or logo lacking a match in the approved substantiation library
Action — enforced
Platform blocks the send and flags each unsupported claim; agent may substitute approved claims or request substantiation.
Human override
Product marketing lead via substantiation-library entry citing verifiable evidence
Logged evidencedocument id · flagged claim list · substantiation record ids · reviewer identity · review timestamp
GR-06No outreach to opted-out or non-consented contactsOverride defined
Target
Email sequences, dialers and SMS campaigns governed by CAN-SPAM, TCPA and Spam Act rules
Trigger
Send or dial targeting a suppressed contact, missing lawful basis, or outside permitted hours
Action — enforced
Platform blocks the send and quarantines the sequence step; agent may target only consented contacts within permitted hours.
Human override
Marketing-compliance officer via suppression-list correction with documented consent proof
Logged evidencecontact id · suppression-list version · consent record · attempted channel and time · block timestamp
GR-07No agent passing as human with prospectsOverride defined
Target
Chat, email, voice and SMS conversations where the counterparty could assume a human rep
Trigger
Conversation start, or direct question about identity, without an AI disclosure on record
Action — enforced
Platform injects the AI disclosure and blocks denial of bot status; agent may continue once disclosure is delivered.
Human override
Legal counsel via approved disclosure-script change logged in the policy register
Logged evidenceconversation id · disclosure text version · delivery timestamp · channel · counterparty query span
GR-08No call recording without all-party consentOverride defined
Target
AI note-takers and call-recording bots joining discovery calls, demos and negotiations
Trigger
Recording or transcription starting before every participant’s consent is captured for that jurisdiction
Action — enforced
Platform blocks capture and discards buffered audio; agent may restart recording only after every participant consents.
Human override
Sales-operations manager via jurisdiction-consent checklist completed before the call
Logged evidencemeeting id · participant consent states · jurisdiction rule applied · audio-discard hash · stop timestamp
GR-09No pricing set from pooled competitor dataOverride defined
Target
Pricing recommendations, discount guidance and win-loss models fed by external market data
Trigger
Recommendation input containing non-public competitor pricing or shared-vendor pooled market feeds
Action — enforced
Platform blocks the recommendation and purges the tainted feed; agent may price from public lists and internal costs.
Human override
General counsel via antitrust review clearing the data source in writing
Logged evidencefeed source id · data provenance record · blocked recommendation hash · counsel review id · purge timestamp
GR-10No approval accepted on voice likeness aloneOverride defined
Target
Deal approvals, payment-detail changes and executive requests arriving by voice, video or chat
Trigger
High-value instruction authenticated only by claimed identity, voice or video resemblance
Action — enforced
Platform holds the action pending out-of-band verification on a directory-listed channel; agent may prepare but not execute.
Human override
Finance controller via callback verification to the directory number of record
Logged evidencerequest id · claimed identity · verification channel and outcome · hold duration · release 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 pipeline read
- Financial impactDiscount beyond playbook
- Identity / change riskProspect identity check
- Irreversible actionQuote or redline release
- Policy riskOutreach-consent 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
- 06 LLM
- 07 Evaluation
- 08 Guardrail
- 10 Outcome
Claim law
product capability claims in proposals bind the company.
FTC / ACCC
Lifecycle layer:02 Retrieval · 06 LLM · 07 Evaluation
- SAL-01
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
- 36
- Failure modes covered
- 43
- Retired & rotated / quarter
- 10%
- Audit-ready scorecard
- Monthly
Output evaluation2 suites · 140 cases
100 casesClaim groundingcatches SAL-01
80 casesAuthority boundariescatches SAL-02
100 casesQuote accuracycatches SAL-05
60 casesOutreach compliancecatches SAL-06
40 casesProspect isolationcatches SAL-03
40 patternsInjection suitecatches SAL-07
60 casesCRM-write setcatches SAL-08
40 casesComparative-claim setcatches SAL-09
40 casesRedline-playbook setcatches SAL-10
40 casesTargeting-hygiene setcatches SAL-11
40 casesTerritory-routing setcatches SAL-12
60 casesRecap-fidelity setcatches SAL-13
60 casesPipeline-integrity setcatches SAL-04
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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 · 98.5%
- Week 2 · 98.4%
- Week 3 · 98.6%
- Week 4 · 98.5%
- Week 5 · 98.7%
- Week 6 · 98.5%
- Week 7 · 98.6%
- Week 8 · 94.2%
- Week 9 · 94.0%
- Week 10 · 98.5%
- Week 11 · 98.6%
- Week 12 · 98.7%
Week readouthover or select
Week 8of 12
- 03Modelopus 4.6 · 0612
94.2%Claim-accuracy rate
- 7 layers stamped on every run · 12-week window
- Catches SAL-35 · silent model drift after a provider update
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 sales 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 sales 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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