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AchieveAI

Create trusted performance readings from fragmented measures, drivers and operating evidence.

AchieveAI brings together Analytical Scorecards, Pulse Dashboards, impact and sensitivity analysis, and advanced multidimensional analytics in one configurable business-measurement environment.

It helps leaders and analysts move from isolated KPIs to a coherent understanding of performance—what is happening, what contributes to it, which relationships matter and how the result may change under different conditions.

Pre-built analytical capabilitiesBusiness configurableFederated across enterprise data
Enterprise Performance Workspace IllustrativeCorporate view · Q3
Revenue96.4%of YTD plan
Gross Margin-180 bpsvs commitment
Retention93.1%+1.4 pts QoQ
Working Capital52 days4 days above target
Pulse and trajectory Revenue actual, plan and projected landing
ActualPlan
Projected: 97.2%
Q1Q2Q3Q4
Contribution analysis Primary contributors to revenue variance
New Logo
+4.8
Renewals
-2.1
Implementation
-3.4
Pricing
+1.2
ScorecardPerspective and indicator view
PulseCurrent KPI and drill-down
EchoImpact and sensitivity
CatalystAdvanced multidimensional analysis
MeasureStandardise and organise metrics around business purpose
MonitorTrack current performance across functions and entities
ExplainAnalyse contribution, relationship, impact and sensitivity
ExploreUse advanced analytical views to find opportunity and risk
Why AchieveAI

More metrics do not automatically create a better performance reading.

Business leaders often receive hundreds of KPIs from different systems, units and functions. AchieveAI organises those measures into a configurable analytical model and provides the tools to understand the movement behind them.

Challenge 01

Isolated KPIs

Measures are viewed separately, making it difficult to understand the broader performance picture.

The metric is visible, but the business meaning remains fragmented.
Challenge 02

Heterogeneous measures

Financial, customer, operational and qualitative metrics use different units, scales and thresholds.

Direct comparison can be misleading without a common interpretation model.
Challenge 03

Limited causal insight

Traditional dashboards show movement but often do not explain contribution, relationships or cascading impact.

Leaders know what changed but not what is driving it.
Challenge 04

Analytical rebuilds

New questions frequently require new pages, new data preparation and repeated technical effort.

Advanced analysis becomes too slow for routine management use.
One Integrated Analytical Suite

Use four complementary analytical experiences on one governed measurement foundation.

Analytical Scorecards, Pulse Dashboards, Echo analysis and Catalyst analytics are not separate products. They are integrated ways of using the same measures, entities, periods, scenarios, roles and business definitions.

01
Start with the management questionChoose whether the need is unified measurement, current monitoring, impact analysis or advanced exploration.
02
Reuse the same governed measuresDefinitions, sources, entities, hierarchies and access rules remain consistent across analytical experiences.
03
Move between summary and detailBegin with an indicator or KPI and progress into contribution, dimensions, transactions, scenarios and relationships.
04
Publish the resultUse analytical findings in Vibrant Outcomes, StoryBoardAI and EnvisionAI without recreating the evidence.
Common analytical foundation Measures · entities · hierarchies · periods · scenarios · thresholds · access · lineage One configurable model supports several analytical purposes and organisational views.
↓ select the analytical experience ↓
Analytical ScorecardsOrganise and interpret performanceMetrics, indicators, perspectives and optional customer-defined roll-ups.
Pulse DashboardsMonitor current performanceConfigurable KPI views with detailed At-a-Glance drill-downs.
Echo AnalysisUnderstand impact and sensitivityObservation, scenarios, relationships and what-if analysis.
Catalyst AnalyticsExplore complex performance patternsContribution, growth, geospatial, ranking and correlation analysis.
Integrated by design: the user can move from a Scorecard indicator to the underlying Pulse metric, investigate impact through Echo and explore the result through Catalyst—without changing the governed business definition.
Four Analytical Experiences

Select the analytical approach that fits the business question.

Each experience uses configurable measures and business context while providing a different depth and form of analysis.

Analytical Scorecards

Convert diverse measures into a structured performance interpretation.

Analytical Scorecards organise metrics into business-defined indicators and perspectives, helping leaders see both the overall reading and the underlying areas of strength or concern.

Core capabilities

Questions answered

Business value Create a consistent performance language across metrics that cannot be compared directly. The customer defines the indicators, perspectives, proficiency mapping, weights and any optional roll-up logic appropriate to the use case.
Analytical Scorecards

Move from a crowded KPI catalogue to a business-defined performance structure.

Analytical Scorecards group related metrics into success indicators and broader perspectives. Proficiency systems can translate heterogeneous measures onto a common interpretation scale, while configurable weighting reflects relative business importance.

01
Aggregate with meaningGroup metrics according to the business area or performance question they jointly explain.
02
Standardise interpretationUse customer-defined proficiency mappings to interpret different measure types consistently.
03
Apply relative importanceUse configurable weights where the business chooses to prioritise metrics, indicators or perspectives.
04
Adapt by organisational levelUse shared definitions with tailored measures and emphasis for Corporate, business unit, region, segment or function.
CorporateEnterprise performance perspectiveMaterial business areas and enterprise priorities.
Business UnitContribution and local performanceUnit-specific metrics with enterprise alignment.
Region or FunctionOperational and contextual detailRelevant goals, entities and accountable owners.
01Metrics and KPIs
02Success Indicators
03Performance Perspectives
04Configured Summary Reading
Important distinction: customer-defined Scorecard roll-ups provide a performance summary for the selected analytical use case. They do not replace the explicit attainment states, projections and evidence used to govern Commitments in Vibrant Outcomes.
Pulse Dashboards

Maintain a current, cross-functional view of the metrics the business needs to manage.

Pulse Dashboards monitor configurable KPIs from multiple sources and provide predefined At-a-Glance analysis for every metric.

01
Current performance monitoringUse scheduled, near-real-time or source-supported live data according to the management cadence.
02
Cross-functional evidenceBring finance, commercial, customer, operations and workforce measures into one configured view.
03
Configurable analytical categoriesApply contribution, trend, distribution, anomaly, predictive, sentiment, geospatial and other analysis according to the metric.
04
Predefined deep diveMove from the KPI to key dimensions, time trend, leaders, laggards, gainers and decliners.
Current ReadingActual, plan, forecast and variancePresent the status appropriate to the measure.
TimeTrend and period comparisonMonth, quarter, year and customer-defined periods.
DimensionsBusiness entity contributionRegion, product, customer, unit, channel and other entities.
Performance DistributionLeaders, laggards and bucketsIdentify concentration, spread and movement across entities.
ChangeGainers, decliners and anomaliesSurface material movement requiring investigation.
OutlookPredictive and scenario contextIncorporate approved forecasts and analytical models.
At-a-Glance metric drill-down One configured metric opens to a reusable analytical page rather than requiring a new dashboard build. The view can include definition, current reading, time trend, dimensional contribution, top and bottom performers, largest changes, supporting evidence and related analysis.
Echo Impact and Sensitivity Analysis

Understand how changes in one part of the business may affect another.

Echo analysis examines metric relationships through observation, scenarios, correlation, sensitivity and impact quantification. It supports both direct and cascading impact paths.

01
Observe relationshipsCompare selected source and target metrics across periods, entities and organisational levels.
02
Add business conditionsAnalyse relationships under scenarios such as discount bands, promotions, capacity levels or service conditions.
03
Test sensitivityChange source assumptions and estimate the direct and indirect effect on target measures.
04
Quantify the potential impactUse configured statistical and analytical methods to support planning and risk decisions.
01Observe Metrics
02Add Scenario
03Establish Relationship
04Test Sensitivity
05Quantify Impact
06Compare Outcomes
Impact observationView how actual, forecast, average and statistical changes move together.
Heat-map interpretationCompare the direction and strength of impacts across several source and target measures.
Direct and cascading effectsTrace an initial change through first-order and subsequent impact relationships.
Analytical governance: observed relationships and modelled impacts are presented with their method, period, scenario and evidence context. They support business judgement rather than being represented as automatic proof of causation.
Catalyst Advanced Analytics

Use configurable analytical pages to explore contribution, growth, geography, ranking and relationships.

Catalyst provides reusable advanced-analysis patterns that can be configured for finance, sales, customer, supply chain, operations and other business domains.

Contribution Analysis

Progressive multidimensional drill-down

See which business units, products, customers, segments or other entities contribute to a higher-level result.

What is contributing to the current performance?
InsightPulse

Growth and performance journey

Partition performance into configured buckets and track how entities move across periods and levels.

Who is improving, declining or remaining persistently off course?
Geospatial Analysis

Progressive location drill-down

Map measures and distributions from global or country level through state, county, city and other configured geographic levels.

Where is performance concentrated or changing?
Geo Compare

Synchronised map comparison

Compare periods, measures, scenarios or business entities across two or more geographic views.

How do location patterns differ across context?
Dimension Ranking

Flexible two-dimensional comparison

Rank a selected measure across two configured business dimensions to expose combinations standard visuals may miss.

Which entity combinations lead or lag?
Correlation View

Metric and dimension relationships

Compare two metrics against a dimension or two dimensions against a selected measure.

Which patterns move together and warrant investigation?
Business Configuration and Common Data Model

Configure the analytical model around the business rather than rebuilding each page.

AchieveAI uses shared definitions, entities and analytical patterns so business teams can tailor the experience while technology teams govern data, integrations and environments.

01
Business-defined measuresConfigure name, definition, formula, units, scenarios, thresholds, ownership and documentation.
02
Reusable entities and hierarchiesUse business units, regions, products, customers, channels and other dimensions across analyses.
03
Analytical-page configurationSelect measures, dimensions, filters, periods, visualisations and drill-down behaviour.
04
Progressive deploymentBegin with one function or analytical use case and expand using the same governed foundation.
MeasuresKPIs, metrics and calculationsDefinitions, formulas, units, scenarios and periods.
InterpretationThresholds and proficiency systemsCustomer-defined mapping for performance meaning.
ScorecardsIndicators and perspectivesGrouping, weighting and optional summary logic.
EntitiesBusiness dimensions and hierarchiesCorporate, unit, region, customer, product and other levels.
AnalyticsPages and analysis parametersContribution, growth, geographic, ranking and relationships.
ExperienceRoles, filters and visualisationsViews tailored to purpose and authorised audience.
EvidenceSources, lineage and freshnessConnection, refresh, validation and source context.
GovernanceAccess and data visibilityObject, entity and granular analytical restrictions.
ReusePublish analytical evidenceUse across Outcomes, Storyboards and conversational inquiry.
Business configurable does not mean analytically uncontrolled. Definitions, methods and access remain governed while authorised users configure the analytical experience around business needs.
Connected Data and Federated Analytics

Analyse measures from several systems without requiring every source to be rebuilt in one new model.

AchieveAI uses VibrantAI’s federated evidence capabilities to query, retrieve, transform and combine data according to the source and analytical workload.

01
Multiple enterprise sourcesUse databases, warehouses, operational systems, semantic models, files and APIs.
02
Source-side and platform computationPush filters and aggregations to the source, then combine selected results where cross-source analysis is needed.
03
Scheduled and near-real-time evidenceMatch refresh and query cadence to the management need and source capability.
04
Coexistence with existing BIPreserve Power BI, Tableau and specialised analytics while using AchieveAI for reusable performance and advanced-analysis patterns.
SystemsERP, CRM and operational applications
Data PlatformsDatabases, warehouses and lakehouse environments
Semantic ModelsPower BI and governed analytical models
FilesExcel, CSV and JSON evidence
APIsApplication and authorised external feeds
ModelsApproved statistical and predictive results
↓ governed measure and entity model ↓
AchieveAI analytical layer One measure definition can support Scorecards, Pulse, Echo and Catalyst analysis. Lineage, freshness, entity mappings, calculation context and access follow the analytical result.
Role-Specific Analytical Experiences

Use one analytical foundation at the level appropriate to each role.

The executive, business leader and analyst can use the same governed measures while working at different levels of summary, contribution and detail.

Executive

Integrated performance reading

Material perspectives, trends, contribution, opportunity and risk across the enterprise.

Where does leadership attention create the greatest value?
Business Leader

Accountable unit and driver view

Relevant metrics, entities, comparisons and analytical detail for the managed business area.

What is changing my result and where should I intervene?
Analyst

Deep exploration and validation

Dimensions, trends, transactions, relationships, scenarios and configurable analytical methods.

What evidence supports the interpretation?
Technology and Data

Governed analytical operation

Sources, definitions, computation, access, performance, environments and controlled change.

How is the analytical result produced and governed?
AchieveAI Across the VibrantAI Platform

Produce governed analytical evidence that other business experiences can use.

AchieveAI is the measurement and advanced-analysis layer. StoryBoardAI communicates the result, EnvisionAI enables conversational investigation and Vibrant Outcomes uses the evidence to read Commitments and Conditions.

01
Vibrant OutcomesUse measures, trends, contributions and scenarios to support Commitment and Condition readings.
02
StoryBoardAIPlace current analytical evidence into role-specific reviews, narratives, decisions and actions.
03
EnvisionAIAllow authorised users to question the measures, dimensions and analytical results through natural language.
04
Connected DataReuse the same governed sources, entities, lineage, access and freshness across analytical experiences.
Connected Data
Governed measures, entities and evidenceSources, definitions, lineage, freshness, access and analytical context.
AchieveAI
Performance measurement and advanced analysisScorecards, Pulse, Echo and Catalyst analytical evidence.
Vibrant Outcomes
Commitment and Condition readingsCurrent state, projected landing, explanation and operational consequence.
StoryBoardAI
Role-specific business reviewLive analytics, narrative, evidence, decision and action.
EnvisionAI
Conversational explorationNatural-language investigation grounded in authorised analytical context.
Security, Governance and Analytical Trust

Control who can see the analysis and make the method behind it visible.

AchieveAI applies the wider VibrantAI trust model across analytical objects, data, configurations and results.

Control 01

Role and object access

Authorise users for the Scorecards, dashboards, analytical pages and functions relevant to their role.

Control 02

Granular data visibility

Apply region, business-unit, customer, product and other configured restrictions to analytical queries and results.

Control 03

Metric documentation

Carry definitions, formulas, units, ownership, scenarios and intended use with the measure.

Control 04

Lineage and freshness

Show the source, processing path, evidence period and retrieval context supporting the analysis.

Control 05

Method transparency

Identify the analytical method, parameters, scenario and assumptions used for the result.

Control 06

Configuration governance

Manage changes to measures, Scorecards, mappings, weights, pages and access through controlled roles.

Control 07

Customer-hosted option

Deploy containerised services and application metadata databases in the customer environment where required.

Control 08

Human analytical judgement

Use modelled relationships, scenarios and predictions as evidence for accountable business decisions.

Business Applications

Apply AchieveAI wherever performance must be measured, explained and explored.

The analytical patterns are configurable across functional areas and business outcomes.

Enterprise Performance

Corporate and business-unit scorecards

Organise strategic, financial, customer and operating measures into a structured performance view.

Shared enterprise language with relevant local detail.
Finance

Revenue, margin and cash analysis

Monitor plan, actual, forecast, contribution, drivers and scenarios across entities and periods.

From financial result to accountable business explanation.
Commercial

Sales, customer and retention performance

Analyse pipeline, conversion, revenue, customer value, service and renewal performance.

Identify where growth and risk are concentrated.
Supply Chain

Service, inventory and resilience

Connect forecast, capacity, supplier, inventory, logistics, cost and service measures.

Understand cross-functional operating trade-offs.
Operations

Operational and digital performance

Monitor throughput, quality, productivity, service, backlog and process outcomes.

Move from exception visibility to impact analysis.
Transformation

Adoption and value realisation

Measure delivery, adoption, operating change and realised or assisted business value.

Separate completed activity from achieved outcome.
Implementation Approach

Start with one analytical domain and expand through reusable measures and pages.

AchieveAI can begin with a focused Scorecard, Pulse Dashboard or advanced analytical question and grow using the shared configuration and data foundation.

01

Define the Question

Performance, monitoring, impact or advanced exploration.

02

Select Measures

Definitions, owners, targets, scenarios and periods.

03

Connect Evidence

Sources, entities, hierarchies and refresh patterns.

04

Configure Analysis

Scorecard, Pulse, Echo or Catalyst parameters.

05

Validate the Reading

Business meaning, analytical method, access and performance.

06

Publish and Operate

Dashboards, reviews, Outcomes and conversational use.

07

Reuse and Expand

Additional functions, entities, measures and analyses.

Beyond General-Purpose Dashboarding

Keep existing BI. Add reusable, business-configured analytical applications.

AchieveAI complements Power BI, Tableau and specialist analytics by providing pre-built performance and advanced-analysis patterns on a shared business model.

General-purpose BI

Build the required analysis

Flexible visual platforms allow teams to create dashboards and reports for a wide range of needs.

Pages and analytical logic designed for each use case
Definitions and drill-downs depend on implementation
Advanced analysis may require specialist development
Business-unit variants often require additional builds
Existing investments remain valuable analytical assets
Add reusable
analytical
applications →
AchieveAI

Configure and reuse the analysis

Pre-built Scorecard, Pulse, Echo and Catalyst capabilities are configured around governed measures and business entities.

Reusable performance and advanced-analysis patterns
Common measures, entities, definitions and access
Business-configurable pages and analytical parameters
Corporate, unit, region and functional experiences
Analytical evidence reused across the VibrantAI platform
Complementary position: AchieveAI can consume governed semantic models, embed existing BI and publish standardised data models for further analysis. It adds pre-built analytical applications without requiring organisations to abandon the tools they already trust.

Turn fragmented measures into governed performance readings and decision-ready analysis.

AchieveAI combines configurable Scorecards, current KPI monitoring, impact and sensitivity analysis, and advanced multidimensional analytics on one reusable enterprise foundation.

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