Connect
Collect signals from
every authorized source.
A governed business intelligence platform
An Enterprise Neural Operating System That Learns Second by Second.
Elevate Your Enterprise Data to Absolute Real-Time Execution.
YUPITR unifies live calls, WhatsApp streams, ERP ledgers, retail transactions and marketing campaigns into a living neural ontology. No more static CRMs or delayed reporting: a continuous reasoning engine that instructs your team on exactly what to do, when to act, and how to close.
12 sources connectedEvidence 3 min agoL2 · human approvalSystems healthy
app.yupitr.com
YUPITR
Command Center
Live intelligence across your business
Total Revenue
$4.8M
↑ 12%
Qualified Leads
2,384
↑ 28%
Pipeline Value
$11.2M
↑ 16%
Campaign ROAS
3.4x
↑ 42%
Revenue trend+26%
Anomaly detected · Mon, Oct 14last 4 projected
Recommendation
Increase spend on high-intent audience segment
Based on 4 sources · 92% confidence
Raw data and useful insights can be complex.
We make it Clear.
Customer conversations, CRM activity, campaigns, sales outcomes, product data and market changes often live in separate systems. YUPITR brings authorized sources together, organizes them into business context and makes that context useful across your teams.
Understand
Analyze them in
business context.
Decide
Work out what
deserves attention.
Act
Take action, with
approval where it matters.
Measure
Track what
actually happened.
Learn
Update the brain
with the outcome.
The result is not another dashboard to check. It is an intelligence layer that helps your company understand what happened, what may be driving it and what deserves attention next.
We implement our platform.
YUPITR is not a standard SaaS. It is a solution tailored per brand: we implement the specific automations, from pipelines to voice AI connected to our brain, a content creator trained on your own brand, a board of advisors and more. No limitations on your company knowledge.
Data & Integrations
SalesforceHubSpotZohoMicrosoft AdsGoogle CloudGoogle AdsMetaFacebookAzureTableauAWSAmazonZendeskTikTokXSnapchatShopifyGoogle AnalyticsLinkedInSlackCustom
LLM's
ClaudeGPTGeminiGrokMistralLlamaQwenCohere
The Brain
that connects it all.
Your systems, people, data and decisions in one governed intelligence layer.
YUPITRThe Brain
It listens.
Connects every system in real time.
It reads.
Understands context, patterns and intent.
It learns.
Gets smarter with every outcome.
It decides.
Recommends, with evidence, what to do next.
Your systems
CRM, ERP, Finance, Support and more
Campaigns
Across all channels
Research
Market, competitors, industry, web
Leads
People and accounts
Content
All creative and performance
Outcomes
Revenue, retention, growth
Approvals
Human oversight at key points
01 Data & Integrations · 02 Second Brain Compiler
It listens. Brings in signals from every system.
Ingest & understandExtract, classify, resolve entities, detect intent.
Knowledge graphEntities, relationships, business ontology.
Business semanticsMetrics, KPIs, rules, definitions.
Decisions & memoryVerified decisions, failed approaches, outcomes.
Goes in
- Internal dataCRM, ERP, sales, support, HR, IoT
- External dataMarket, competitors, social, news
- ConnectorsHubSpot, Salesforce, Shopify, WhatsApp
Comes out
- CustomersOne resolved record per account
- SignalsIntent and sentiment, classified
- MetricsOne definition per KPI
- MemoryCompiled, searchable, versioned
CRMERP / FinanceSales & pipelineCustomer supportMarketing platformsEcommerceDocumentsHRCall center / voiceProduct usageIoTMarket dataCompetitorsSocial mediaGovernment / publicWeather & eventsNews / RSSExtractClassifyEntity resolutionSemantic analysisIntent detectionEntitiesRelationshipsBusiness ontologyContent mappingMetrics & KPIsRules & policiesDefinitionsCalculations
08 Second Brain · 09 Data Intelligence Engine · 07 Domain Playbooks
It reads. Understands what's happening.
Hybrid retrievalVector, graph and SQL in one query.
Semantic layerBusiness metrics the whole company agrees on.
Domain playbooksPre-compiled intelligence for your industry.
Institutional memoryEpisodic, long-term and decision memory.
Goes in
- Raw dataObservations, events, records
- Company DNARules, policies, domain packs
- QuestionsFrom every team, in plain language
Comes out
- AnswersText-to-SQL, safe and governed
- ForecastsSimulation and what-if analysis
- SegmentsCohorts and segmentation
- DashboardsKPIs that match the ledger
Raw dataObservationsVerified knowledgeDecisionsRules & policiesOutcomesCompany DNADomain packsCustomer knowledgeEpisodic memoryContradiction detectionProvenance & confidenceText-to-SQLData warehousedbt transformationsStatistical analysisForecasting & simulationCohort & segmentationWhat-if analysisKPI dashboardsPerformance marketingReal estateEcommerceHospitalityRetailCustomer experienceOperationsCapital allocationGrowth strategy
03 Hermes Control Plane · 11 Advisory Board
It decides. Recommends the next best action.
Routing engineClassifies each task, picks the engine.
Model routerBest model per task, with fallbacks.
GuardrailsPermissions, budgets, safety filters.
Advisory boardSeven lenses debate before it recommends.
Goes in
- Task contractUser, task, data, tools, budget
- PoliciesPermissions and approval rules
- ContextEvidence from the Second Brain
Comes out
- RecommendationWhat to do, with evidence
- ConfidenceScored and explained
- RiskFlagged before it happens
- RefusalWhen the answer isn't safe
IntentClassifyRoutePermissionsExecuteVerifyLearnTask classificationModel selectionCost & latencyFallbacksRefuse / escalatePolicy engineRisk scoringBudget limitsApproval rulesSafety filtersTool gatewayData isolationAudit & logsClaudeGPT-4oGeminiGrokMistralLlamaCohereQwenGrowth lensFinance lensCustomer lensMarketing lensOperations lensCompetitor lensSkeptic lens
04 Agents & Skills · 05 Automation & Actions · 10 AI Content Studio · 06 Experiences & Channels
It acts. Executes across your systems and channels.
AgentsSales, marketing, finance, ops. Real work.
AutomationsWorkflows, webhooks, event streams.
Content studioText, image, video and voice, on brand.
ChannelsWeb, mobile, WhatsApp, Slack, voice.
Goes in
- RecommendationApproved next best action
- BrandVoice, style and assets
- SystemsCRM, ERP, ad platforms
Comes out
- PipelineProposals and follow-ups sent
- CampaignsBudgets and audiences updated
- ContentCreatives in every format
- ConversationsAnswered where customers are
Sales agentMarketing agentCustomer agentResearch agentData analyst agentExecutive agentFinance agentOperations agentn8n workflowsTemporal orchestrationAPIs & webhooksEvent streamsCRM / ERP actionsEmail / SMS / WhatsAppDocuments & contractsSchedules & remindersApprovals & escalationsMCP toolsText generationImage generationVideo generationVoice & audioPresentations & docsSocial media contentAd creativesLocalizationWeb appMobile appAdmin / back officeCustomer portalPartner portalEmployee portalKioskAPI / headlessChatVoice callSlack / TeamsEmail
14 Trust, Security & Governance · 15 Human in the Loop · 16 Cost & Credit Ledger · 17 Decision & Outcome Ledger
It answers for it. Every step approved, costed and logged.
Human in the loopApprovals, escalations, overrides.
SecuritySSO, RBAC, PII redaction, encryption.
Cost ledgerEvery credit tracked, capped and priced.
Decision ledgerRecommendation, evidence, outcome.
Goes in
- Sensitive actionsDiscounts, spend, mass messages
- IdentityWho asked, with which role
- UsageModels, tools and credits
Comes out
- ApprovalsHuman sign-off where it matters
- AuditImmutable logs of every step
- MarginCost per task, user and app
- ProofDecisions tied to results
SSO / OAuth / MFARBAC / ABACTenant isolationPII detectionDLP & redactionEncryptionPrompt injection defenseTool permission gatewayModel output guardrailsData lineageClassificationRetention policiesAudit logsPolicy enforcementRegulatory readyApprovalsEscalationsReview queueSLA managementHuman overridesFeedback captureCredit reservationProvider cost trackingRealized marginPer task / app / userAllowances & top-upsDaily & monthly capsRecommendationEvidence usedDecision takenAction executedOutcome measured
12 AI Evaluation & Testing · 13 Observability & Monitoring · 21 Continuous Improvement · 22 Business Impact · 18 Client Lifecycle · 19 Model & Platform Ops · 20 Support & Success
It learns. Improves with every outcome.
EvaluationRAG, groundedness, regression tests.
ObservabilityTraces, latency, cost, anomalies.
Improvement loopObserve, decide, act, measure, learn.
Platform opsVersioned models, health checks, fallbacks.
Goes in
- OutcomesWhat actually happened
- EvaluationsGolden datasets and tests
- TracesEvery call, cost and latency
Comes out
- PlaybooksUpdated with what worked
- RoutingRe-tuned by real performance
- MemoryFailed approaches remembered
- ImpactMeasured, not assumed
RAG evaluationPrompt testingHallucination detectionGroundedness scoreTool call accuracyGolden datasetsRegression testingA/B model evaluationOpenTelemetryLangfuse tracesSentryPerformance metricsLatency & throughputUser behaviorCost monitoringAlerting & anomalyObserveUnderstandDecideActMeasureLearnCompileModel versioningProvider health checkFallback testingRoute policy updatesCompany discoveryCold startImplementationLearn & optimizeOperate & scaleBrain exportOnboarding supportTraining & enablementMonthly business review24/7 monitoring
Your marketing stack was never one system. This is.
Strategy, creative, campaigns, search, attribution and experiments — planned, produced, executed and measured in the same system, on the same memory. One that still asks before it acts.
Strategy simulates the move before you make it. Content Studio produces the creative inside your own brand. Campaigns runs it with its budget, its pacing and its approval level visible. Attribution & MMM measures what it actually contributed, not what each platform claims. Experiments settles what is still in doubt.
01 · the reconciliation
Marketing Overview
Spend, demand, creative and revenue read as one system. Including the revenue that reconciles to no channel at all, which the screen names instead of quietly spreading around.
Platform TourMarketing Overview
OverviewChannelsReconciliation
Spend
$1.24M
+4%
Demand
18,420
+11%
Creative
312 live
−6 burned
Revenue
$4.81M
+9%
Revenue reconciled to channel
Last 90 days
Paid search
Paid social
Email & CRM
Organic & GEO
Unreconciled
$770K reconciles to no channel
Named, not spread. Likely drivers: offline referrals, direct repeat orders. Evidence: 3 sources.
02 · Overview · Campaigns · Channels · Optimization
Campaigns
Live supervision of every governed program: pacing against approved budget, verified outcome, and the autonomy level each one runs under. A draft is not live, and an approval is not an execution.
Platform TourCampaigns
OverviewCampaignsChannelsOptimization
ProgramPacing vs approvedVerifiedAutonomyState
Q4 Search · Brand72% of $84KROAS 4.1x ✓L3 · Auto Live
Meta · High-intent58% of $52KCPA $38 ✓L2 · Approve Live
Win-back · Email0% of $6K—L2 · Approve Approved
TikTok · Launch0% of $30K—L1 · Suggest Draft
Approved ≠ executed. Win-back waits for its send window.
03 · Assets · Concepts · Hall of Fame
Creative Intelligence
Which assets are carrying the account, which are running without earning attention, and which have already burned out. Every reading built from this account's own median, never an industry benchmark.
Platform TourCreative Intelligence
AssetsConceptsHall of Fame
vs. this account's median attention
No industry benchmarks
Carrying+42%
Carrying+27%
Coasting−3%
Burned out−38%
Coasting+1%
Carrying+19%
04 · create inside your own brand
Content Studio
Brief, frame, direct and approve — image, video, carousel and UGC — from a model trained on your library rather than on the internet. Your brand guidelines are a setting, not a suggestion.
Platform TourContent Studio
Brief
Spring launch for Product · Seamless Active Set aimed at Segment · Morning studio regulars in a Tone · calm, confident voice.
Format
ImageVideoCarouselUGC
Brand guidelinesTrained on your library · 1,284 assets Enforced
Generating 3 cutsCut 2 of 3 · 0:15 Approve
05 · Live Signals · Scenario Simulator · Board of Advisors · Action Orchestration
Strategy
Turn verified signals into governed choices: simulate the scenario, let the lenses disagree in front of you, then orchestrate what actually gets done. You see where the advisors split, not an average that hides it.
Platform TourStrategy
Live SignalsScenario SimulatorBoard of AdvisorsAction Orchestration
Scenario · Shift 15% to high-intent
Simulated: revenue +6–11% · CAC −4–9% · 80% CI
Growth
Go
Finance
Hold
Customer
Go
Operations
Hold
Skeptic
No
Advisors split 2 · 2 · 1Finance and Operations want a 2-week test first. No average shown.Orchestrate test
06 · Search Performance · GEO Engines · Content Opportunities · Actions & Impact · Ranking Goals
SEO & GEO
Be discoverable where decisions begin — in search and now in the answer engines. Search demand, answer-engine citations, content gaps, and the qualified demand each one actually produced.
Platform TourSEO & GEO
Search PerformanceGEO EnginesContent OpportunitiesActions & ImpactRanking Goals
Search demand
128.4K +18%
Answer-engine citations
ChatGPT42 +9
Perplexity31 +6
Gemini24 +2
AI Overviews57 +14
Content gaps with qualified demand
linen shirts for humid climates · 2.1Kresort wear sizing guide · 1.4Kbest travel shirts 2026 · 980breathable office wear · 760
07 · True Incrementality · Response Curves · Adstock & Carryover · Scenario Planner · Attribution Comparison
Attribution & MMM
Bayesian marketing-mix modeling alongside governed multi-touch attribution: incremental contribution, not what each platform claims for itself. Results come back as ranges with their confidence, never as one promised number.
Platform TourAttribution & MMM
True IncrementalityResponse CurvesAdstock & CarryoverScenario PlannerComparison
Response curves · saturation
SearchSocialDisplay
Incremental share · 80% interval vs platform claim
Search22–31%
Social12–20%
Email9–14%
what the platform claims
Bayesian MMM + governed MTA · ranges with confidence, never one promised number.
08 · Awaiting review · Running · Concluded
Experiments
Plans locked before observation, no interim reads by contract, and a decision an accountable person signs. A positive finding, a null result and a blocked run all remain first-class evidence.
Platform TourExperiments
Awaiting reviewRunningConcluded
Value-first pitch vs price-first
Positive+8.4% win rate · 95% CI [3.1, 13.2]
Plan locked before observationNo interim readsSigned · Head of Sales
Free shipping threshold $60 → $50
Null resultNo detectable effect · kept as evidence
Plan locked before observationNo interim readsSigned · Growth Lead
Homepage hero video
BlockedSample ratio mismatch detected · run invalidated
Plan locked before observationNo interim readsSigned · Analytics
14 more concluded
Real-Time Sales Execution: Your Top Closer Multiplied Across Every Rep.
The real-time AI engine that listens, evaluates, and whispers the exact winning strategy during live calls or WhatsApp conversations in under 800ms—enforcing active non-loss margin guardrails.
Sales
Every rep starts the day knowing which actions cannot wait, which meetings need prep and what value is at risk. Prepared for them, never sent without them.
MY SALES · TODAY
Demo simulationPrepared, not sent4 of your 12 actions cannot wait
Actions due
12
Across your accounts
Cannot wait
4
Today, not this week
My open pipeline
$1.28M
Open opportunities you own
Value at risk
$735K
Counted separately, never summed with pipeline
TODAY
Where you are expected, and whether you are ready
09:30Ready
Vanguard Logistics
Technical follow-up with the engineering lead
11:00Needs prep
Kore FinTech Core
Commercial negotiation
No security attendee on the invite, and their checklist is still unassigned.
14:00Ready
Altos Bio Labs
Proposal review, eight attendees
16:15Follow-up
Nordic Supply Chain
Contract clause check-in
Pipeline
Managers see where coverage is real and where it has stopped moving. Each stalled deal comes with the one question that unblocks it and a dossier ready before anyone asks.
PIPELINE · GOVERNED MANAGEMENT VIEW
Demo simulationRead-only · CRM owns the recordCoverage is 3.1× and a third of it sits in two deals that stopped moving
WHAT NEEDS A DECISION NOW
3 OPEN · L2 · PREPARE ONLYNexa Retail Systems$420,000
Stalled past the stage norm · 41d in stage, normally 21d
Did legal reject the clause, or is the budget simply unallocated?
Solis Energy Platform$360,000
Close date moved twice
Has procurement confirmed the revised committee date in writing?
Horizon Health Cloud$220,000
Single-threaded
Who continues the evaluation if that one contact moves on?
Preparing writes nothing. It assembles the evidence for whoever decides, and the decision is recorded with its limitations.
Segments
See where demand is lost between arriving and reaching a person, and which leads are held back because nobody has consent to contact them.
Leads
Trace every lead from the channel that brought it in to the moment sales takes over, with one attribution model the whole team agrees on.
The customer does not experience your org chart.
Journey, support, retention, returns and advocacy are five teams. To the person buying from you, they are one relationship and YUPITR reads them from one memory.
Journey & Conversions. Where people actually drop, not where you assume they do.
JOURNEYS & CONVERSION · GOVERNEDDemo simulationPrepared, not executed
One step loses 41% of the people who reach it, and the reason is not in the data
Journeys started18,42030-day cohort
Completed2,684With a recorded identity
Overall completion14.6%2,684 of 18,420
Median time4.2dIncl. 1.8 days of pause
WHAT THIS SECTION IS TELLING YOU
ObservedStep 4 · Contract terms1,714 of the 4,180 sessions that reach the redline review stop there. The single largest loss on the journey, recorded, not estimated.
InferredRe-entry240 sessions return more than five days later from the same corporate network. What happened in between, the data does not say.
LimitationAttribution boundaryNothing here can see a phone call about the contract or a decision made in a meeting. The largest drop may be resolved where this product does not reach.
Where people actually drop, not where you assume they do: every step from first visit to signed, with the evidence behind each fall.
Support. Every ticket arrives with the account's history already attached.
TELEMETRY STREAMNew casesSLA violationsReopened
Support Pressure & Value Exposure · 14-Day Trajectory
New cases today
94
Median baseline: 91
Affected buyers
82
12 multi-case accounts
Escalation backlog
48
+19% over normal
Unlinked sessions
26%
Missing phone or email link
Every ticket read in the context of the account behind it, so the answer arrives with the history instead of asking for it again.
Retention. Churn named early enough to do something about it.
RETENTION · GOVERNEDDemo simulationAggregated · no individual scores
Revenue retention is holding at 104% while one in five accounts leaves. The two are not the same story.
Net revenue retention
104.2%
+1.8% vs LY
Gross revenue retention
88.6%
−0.4% vs LY
Logo retention
79.4%
−3.2% vs LY
Accounts churned
84
of 408 eligible
Revenue retention and logo retention answer different questions and are never averaged into one health score.
ObservedBilling ledger
Enterprise accounts expanded annual spend by 18.4% at renewal, masking 68 SMB cancellations in the same quarter.
InferredEvent timing
Drops in seat usage precede cancellation requests by 41 days on average, though lower usage does not guarantee churn.
LimitationBlind spot
Cannot detect offline vendor evaluations, budget freezes or conversations held outside logged channels.
Churn named early enough to do something about it, ordered by what is leaving rather than by who is easiest to reach.
Returns. Returns as a signal, not a cost line.
RETURNS · GOVERNED RESOLUTIONDemo simulationNo monetary authority
One reason is 34% of handling cost, and in four cases out of ten the inspection disagrees with what the customer said.
Open requests
1,482
Authorised return IDs
Awaiting a verdict
318
Human review required
Median cycle time
4.2d
Request to disposition
Value in review
$142,650
Awaiting sign-off
Gross recovered · Q1
$489,200
Inventory salvaged
Value recovered ($489.2K) and handling cost ($164.8K) sit apart: they are netted once in Reverse Logistics, never before.
ObservedWarehouse scans
In 41.6% of returns claiming "Arrived damaged", scanners recorded intact packaging and no fabric tear.
InferredBehaviour
Customers pick "Damaged" over "Did not fit" to avoid the $6.50 return fee, turning regret into merchant-paid claims.
LimitationBoundary
YUPITR cannot see whether transit caused minor scuffs or whether damage happened in the customer’s home.
Why things come back, read as a signal rather than a cost line: fix the listing, hold the restock, open the win-back. When the cause cannot be observed, it says so.
Advocacy. The customers who bring you more customers.
ADVOCACY · GOVERNEDDemo simulationNothing published from here
Eleven customers carry every reference request, and four of their permissions expire this quarter.
Active advocates
24
Verified participation
Permissions expiring
4
Within 90 days
Requests this quarter
19
Reference activity
Requests declined
6
Recorded decisions
Asks per advocate
4.8/yr
Threshold · 3/yr
FATIGUE · +62% ABOVE PEERSRequest volume and velocity
ObservedCRM activity
Accounts asked more than three times in 12 months showed a 58% drop in reference-call acceptance.
InferredConcentration
Heavy reliance on five flagship accounts points to reference burnout before the Q3 renewals.
LimitationAttribution
Advocacy’s effect on closed revenue cannot be verified without a randomised hold-out group.
The customers who bring you more customers: referral, review and repeat behaviour tracked as one signal instead of three reports.
Personalization & Automations
Personal because it knows, not because it guessed.
Personalization is what each customer sees. Customization is what your company decides. Both run off the same memory, so the experience adapts to the person without ever leaving the rules you set.
Affinity: 27% of ring buyers purchase complementary jewellery within 30 days.
Follow Up
Suggested next step: add a cross-sell branch to the post-purchase journey.
Last Activity"Sport Bra Comfort" abandoned on app
EAKnown User
Emily Anderson
emily@example.com
Last ActivityVisited "Posh Sneakers" on web
Last Activity10% OFF coupon on footwear
CDP
Get a 360 view of customers to sharpen segmentation and activate customer data across every stage of the customer journey.
Learn MoreSBSophia Bennettsophia@email.com
Loyalty StatusStandard
Wishlist ItemsCosmic Sneakers
You have a new email!
Hey Sophia!
The item on your wishlist, Cosmic Sneakers, is now on sale!
Personalization
Great experiences happen when you know your customers inside out. Combine the power of a unified customer profile and YUPITR.
Learn MoreEAKnown User
Emily Andersonemily@example.comNext Best ChannelSMS · Email
New Message
Hey Emily! Price drop alert!
Price drop on your favourite AirForce Hoodie, Emily! Get it only for $134 now!
New Email
Same Style, Better Price $
Hey Emily! Save BIG on your AirForce Hoodie. Prices splashed by 15%.
Total clicks
1,892,814
↗ 5.30% compared to last month
Dean's Personalized Customer Journey
Updating the journey flow…
D Dean
Can you update my delivery address? I just moved from Alaska to Miami. No more snow for me! 😅
DKnown user
Dean
dean@example.com
1,045
Orders
$88,825
Lifetime value
4 days ago
Last purchase
FL Summer styles Frequent shopper Weekend shopper Email engaged Loyalty member
Planning the campaign…Updating the copy…
Inbox
ACME
Dean, suit up for Miami
Lightweight tailoring in breathable fabrics, cut for warm evenings and your new everyday in the city.
New arrival
Check Three-Piece Suit
Tropical wool, windowpane check. Slim fit.
Color
Size
38404244
Add to bag 1 of 4
Use codeDEAN2020% OFF
Dean's Personalized Customer Journey
Updating the journey flow…
D Dean
Can you update my delivery address? I just moved from Alaska to Miami. No more snow for me! 😅
DKnown user
Dean
dean@example.com
1,045
Orders
$88,825
Lifetime value
4 days ago
Last purchase
FL Summer styles Frequent shopper Weekend shopper Email engaged Loyalty member
Planning the campaign…Updating the copy…
Inbox
ACME
Dean, suit up for Miami
Lightweight tailoring in breathable fabrics, cut for warm evenings and your new everyday in the city.
New arrival
Check Three-Piece Suit
Tropical wool, windowpane check. Slim fit.
Color
Size
38404244
Add to bag 1 of 4
Use codeDEAN2020% OFF
Customization — what you decide
Configured per company, not per template.
Your brand model, your definitions, your approval thresholds, your playbooks. YUPITR is configured per company, not per template, so what it produces already sounds like you and already respects what you do not allow it to do.
Personalization — what the customer sees
The message fits where they actually are, not where the campaign assumed.
Content, offer and timing assembled for the person in front of them: their stage in the journey, what they have already been sent, and the objection on record. A first visit and a proposal that went quiet do not get the same message.
Autonomous Operations
Autonomous Operations and Approvals
Tasks that run on their own, inside limits you wrote.
Every action runs at a level you set, from watching to acting alone. Nothing that touches a customer, money or personal data starts above “prepare it and wait”.
L0Watch
L1Suggest
L2Prepare & wait
L3Act with approval
L4Act alone
Customer, money and personal data start capped at L2.
Routines
Automations
Skill · Forecast
Skill · Margin guard
Approvals
Decisions & Outcomes
… Waiting for L2 approval
discount 12% > policy 10%
✓ Approved · VP Marketing
signed 14:02 · policy v3
WaitingDecidedIn FlightPolicy
✓ Weekly Growth Review triggered
Mon 09:30 UTC · 11 inputs
This WeekPreparationDecisionsRhythm
✓ Inputs assembled
7 ready · 2 blocked · 1 pending
✓ Ran 2 skills
forecast + margin_guard · 1.4s
InstalledBlockedEvaluationsTools
✓ Outcome recorded
ledger #85 · 14-day window
LedgerUnmeasured 31Learnings 3Reopened 2
The ledger
Decisions & Outcomes
What was recommended, what evidence it used, who decided, what was executed, and what actually happened afterwards. It is how an action earns a higher level — and the only honest way to show whether any of this paid for itself.
The rhythm of the work
Routines
The recurring work, run on time
What your team does every Monday, every close, every launch — written down once and executed on schedule, with the same evidence and the same approval path each time. A routine that drifts is a routine you can audit.
Questions people ask
How YUPITR works in practice
What is YUPITR?
YUPITR is a business intelligence platform designed to connect sales, marketing, analytics and customer-facing workflows. It brings permitted company information into a shared context so teams can review evidence and decide what to do next.
Which business systems can YUPITR use?
The integration plan depends on your current tools, access and permissions. A walkthrough can examine relevant CRM, marketing, commerce, customer service and operational sources, then define which information can be connected for your use case.
Does YUPITR act without human approval?
Workflows can be configured with review and approval steps. The site examples show proposed actions, accountable decisions and outcomes; actual execution depends on the permissions and controls agreed for each implementation.
How does YUPITR handle uncertain answers?
The analytics experience is designed to separate observations from inferences and to show where supporting information is missing. Teams can follow the evidence behind a recommendation before they act.