Prism DecisionIQ
See what matters.
Understand why.
Decide what's next.
Prism DecisionIQ transforms fragmented business data into a living intelligence layer for leadership — combining governed data, AI reasoning, predictive intelligence and scenario simulation to help leaders make faster, better-informed decisions.
From boardroom strategy to operational action, DecisionIQ turns business information into decisions.
- See
- One governed view of business reality, refreshed continuously.
- Understand
- AI explains drivers and root causes, not just variances.
- Decide
- Simulate the trade-offs, then act on ranked recommendations.
Data
- ERP
- CRM
- Finance
- Operations
- HR
- Sales
- Customers
- External data
Computation
- KPIs
- Metrics
- Models
- Forecasts
Intelligence
- AI reasoning
- Patterns
- Drivers
- Risks
- Opportunities
Prism DecisionIQ
Governed data · Computation · AI reasoning · Simulation
Decision
- Recommend
- Simulate
- Act
- Monitor
The problem
Your data is real-time.
Your decisions shouldn't be days behind.
Most organisations already have enormous amounts of data. The constraint is not collection — it is the distance between what the business knows and what leadership can act on.
What organisations already have
- ERP systems
- CRM
- Spreadsheets
- Finance systems
- Operational platforms
- HR systems
- Power BI
- Dashboards
- Reports
- Analysts
What leadership is still asking
- What happened?
- Why did it happen?
- What is changing?
- What happens next?
- What should we do?
- What happens if we change something?
How it works today
- 01Data everywhere
- 02Reports
- 03Analysis
- 04Meetings
- 05Decisions
The intelligence arrives after the decision window.
DecisionIQ changes the loop.
In most organisations, intelligence travels through reports, analysis and meetings before it reaches a decision — and by then the decision window has usually closed. DecisionIQ collapses that chain. Governed data, computation, AI reasoning and simulation sit in one layer, so the question and the answer occupy the same moment.
The result is not faster reporting. It is a shorter distance between a signal in the business and a decision made about it.
The decision loop
See. Understand. Predict. Simulate. Recommend. Act. Learn.
The DecisionIQ loop is the operating rhythm of the platform. Each step produces the input for the next, and the outcome of every decision returns to the intelligence layer.
01
See
What is happening?
Governed KPIs across finance, operations, commercial and people — one consistent business reality.
02
Understand
Why is it happening?
AI decomposes movement into drivers: volume, price, mix, cost, utilisation, churn, region and cohort.
03
Predict
What is likely to happen?
Trend and forecast intelligence surfaces exposure before it lands in a reported result.
04
Simulate
What happens if we change something?
Model levers across revenue, cost, workforce and capital and see the trade-offs in seconds.
05
Recommend
What should we do?
Ranked actions with expected impact, owner, timeframe, dependencies and risk.
06
Act
Execute the decision.
Decisions leave the platform as owned actions, not as slides in a deck.
07
Learn
Measure the result.
Outcomes are measured against expectation and fed back into the intelligence layer.
Learn feeds back into See. The loop never stops — which is what makes DecisionIQ a decision system rather than a reporting layer.
Traditional BI tells you what happened.
DecisionIQ helps you decide what to do next.
Reporting describes the past. Decision intelligence changes the future. The difference is not the chart — it is whether the system can reason about drivers, model alternatives and recommend action.
Traditional BI
- What happened?
- Charts
- Dashboards
- Historical reporting
- Manual analysis
- Analyst dependency
- Reactive
DecisionIQ
- What happened?
- Why did it happen?
- What happens next?
- What if?
- What should we do?
- What happened after we acted?
- AI-assisted, forward-looking, action-oriented
One platform. Five lenses. One truth.
One platform.
Five lenses.
One truth.
Every leader works from the same governed business reality — but sees the information, intelligence and recommendations most relevant to their role. Select a lens to change the intelligence environment.
Enterprise health
CEO
- Business health
- Growth
- Strategic risks
- Enterprise opportunities
- Scenario planning
CEO intelligence view
Illustrative example- Business health
- 74/100
- -3 vs last month
- Revenue growth
- +8.4%
- YoY
- EBITDA margin
- 12.6%
- -1.8 pts
- Cash conversion
- 86%
- +2 pts
“Summarise the business.”
- Business Health is 74/100 — stable, with margin the weakest dimension.
- Biggest risk: customer concentration in the top five accounts is approaching the board threshold.
- Biggest opportunity: demand in Segment B is growing faster than served capacity.
- Recommended: review pricing in Region A, release constrained capacity, prioritise Segment B pursuit.
The CEO doesn't need more reports.
They need to know what matters.
DecisionIQ opens on business health, then narrows immediately: three things requiring attention, two emerging opportunities, one strategic decision. Ask it to summarise the business and it returns health, the biggest risk, the biggest opportunity and the recommended actions — in the language a board would use.
CEO lens
“Summarise the business.”
- Business Health is 74/100 — stable, with margin the weakest dimension.
- Biggest risk: customer concentration in the top five accounts is approaching the board threshold.
- Biggest opportunity: demand in Segment B is growing faster than served capacity.
- Recommended: review pricing in Region A, release constrained capacity, prioritise Segment B pursuit.
Illustrative example
From report consumer
to strategic CFO.
A live P&L waterfall from revenue through gross profit and operating cost to EBITDA, with a margin bridge behind it. Ask what is driving the margin decline and the platform decomposes revenue, volume, price, cost, mix and variance — then proposes what to do about it. Budget-versus-actuals, wage exposure and financial scenarios sit in the same layer.
CFO lens
“What's driving the margin decline?”
- Margin declined 1.8 points against prior quarter.
- Volume contributed +0.6 pts; price/mix -0.9 pts; direct wage cost -1.2 pts; overhead -0.3 pts.
- Two thirds of the wage impact sits in one region operating above planned overtime.
- Recommended: reprice the two lowest-margin service lines and reset the overtime threshold.
Illustrative example
See the operation.
Find the constraint.
Fix it.
Regions, teams, customers, capacity, utilisation and productivity in one governed view. Ask which region has the biggest operational issue and DecisionIQ returns a ranked leaderboard with RAG status, root cause, financial impact and a 30/60/90-day action plan.
COO lens
“Which region has the biggest operational issue?”
- Region A ranks lowest: utilisation 71% against a 84% target, RAG status red.
- Root cause: attrition in two delivery teams has driven overtime and rework.
- Estimated financial impact: material margin drag concentrated in one service line.
- Recommended 30/60/90: stabilise rostering, backfill two roles, re-baseline the schedule.
Illustrative example
Board-ready intelligence.
On demand.
Enterprise value framed the way investors frame it: revenue growth, EBITDA and margin, cash flow, revenue per FTE, risk and capital allocation. Ask what could materially change enterprise value over the next twelve months and the answer covers growth opportunity, margin risk, cash-flow risk, acquisition scenarios and operational constraints.
General Manager lens
“Where is growth coming from?”
- Growth is concentrated in two service lines and one customer cohort.
- Cross-sell coverage in the mid-tier cohort is under half of comparable accounts.
- Win rate has improved, but average deal size is flat — pricing, not demand, is the constraint.
- Recommended: run the cross-sell play on the mid-tier cohort and lift entry pricing on new work.
Illustrative example
AI executive copilot
Ask the business.
Get an answer.
The copilot reasons over governed KPIs and role-scoped data. It is not a chat window bolted onto a dashboard — it is the conversational surface of the intelligence layer.
DecisionIQ executive copilot
Illustrative exampleLeader
How healthy is the business?DecisionIQ
Business Health is 74/100. Three areas require attention: margin in Region A, customer concentration in the top five accounts, and rising attrition in two delivery teams.Ask → Understand → Simulate → Decide
The questions leadership actually asks.
Select a question to see how DecisionIQ answers it — driver analysis first, then the recommended action.
DecisionIQ response
Illustrative exampleMargin is down 1.8 pts. Bridge: volume +0.6, price/mix -0.9, direct wage -1.2, overhead -0.3. The wage component concentrates in one region.
Recommended action
Reprice two service lines; reset overtime thresholds.
Root cause intelligence
Don't just see the variance.
Find the driver.
DecisionIQ walks the tree from metric to driver to root cause to impact to action — the step static dashboards leave to an analyst and a week.
EBITDA
Down 4.1% against prior quarter
Revenue
Growth below plan
Volume
Units delivered below forecast
Region A
Largest single contributor to the gap
Client churn
Churn rising in one cohort
Mid-tier segment
Concentrated in accounts under $500k
Account cohort
Onboarded in the last 18 months
Recommended action
Targeted retention programme plus service review
Why this matters
A variance is a symptom. Leadership cannot act on a symptom — it can only act on a cause, in a specific place, with a specific owner. Driver decomposition turns a number that moved into a decision that can be made.
Because decomposition runs on the governed semantic layer, the explanation is consistent whoever asks the question and however they arrived at it.
Predictive intelligence
See a risk before it becomes a result.
Today, trend, forecast, risk, action. DecisionIQ expresses exposure in business terms and attaches the intervention that would change the outcome.
Today
Current performance across governed KPIs.
Trend
Direction of travel over comparable periods.
Forecast
Expected outcome if nothing changes.
Risk
Probability and exposure, expressed in business terms.
Action
The recommended intervention, and when it must happen.
Revenue risk
Pipeline coverage below the conversion required to hold plan.
Margin risk
Cost growing faster than price in two service lines.
Cash-flow risk
Working capital cycle lengthening in one region.
Customer concentration
Top-account share approaching the board threshold.
Workforce risk
Key-role coverage thin in constrained teams.
Attrition
Twelve-month attrition trending above the internal benchmark.
Capacity
Demand growing faster than served capacity in one segment.
Cost inflation
Input and wage inflation ahead of contracted escalation.
Forecast and risk outputs depend on the quality, history and granularity of your data. Prism makes no generic accuracy claims.
Opportunity intelligence
AI should find value.
Not just report it.
Every opportunity carries value, confidence, owner, action and timeframe — because an opportunity without an owner is only an observation.
| Opportunity | Value | Confidence | Owner | Action | Timeframe |
|---|---|---|---|---|---|
| Cross-sell | Material | High | GM Commercial | Run cross-sell play on mid-tier cohort | 0–90 days |
| Upsell | Moderate | Medium | Sales lead | Prioritise accounts with expanding demand | 0–90 days |
| Pricing | Material | High | CFO | Reset entry pricing on lowest-margin lines | 0–60 days |
| Retention | Material | Medium | GM Commercial | Targeted retention programme for at-risk cohort | 0–120 days |
| New customers | Moderate | Emerging | Sales lead | Focus pursuit on Segment B demand | 90–180 days |
Simulation engine · Scenario composer
What if?
Answered in seconds.
Build your own future. Move the levers that leadership actually controls — growth, pricing, wage inflation, churn, productivity, automation and headcount — and see revenue, EBITDA, margin and cash flow respond together.
Decision levers
Base case
- Revenue
- $142.6m
- EBITDA
- $16.2m
- Margin
- 11.4%
- Cash flow
- $13.9m
Your scenario
- Revenue
- $142.6m
- EBITDA
- $16.2m
- Margin
- 11.4%
- Cash flow
- $13.9m
Growth case
- Revenue
- $164.5m+21.9
- EBITDA
- $42.9m+26.7
- Margin
- 26.1%+14.7
- Cash flow
- $36.9m+23.0
Stress case
- Revenue
- $114.6m-28.0
- EBITDA
- $-19.8m-36.0
- Margin
- -17.2%-28.6
- Cash flow
- $-17.0m-30.9
Illustrative model on indicative figures, shown to demonstrate how DecisionIQ expresses trade-offs. Values are not client results. In a live deployment the model runs on your governed data, unit economics and cost structure.
See the trade-offs before you make the decision.
From scenario to decision
What should we do?
Simulation is not the destination. DecisionIQ converts the chosen scenario into ranked actions, each with expected impact, owner, timeframe, dependencies and risk.
High impact
Reset pricing on the two lowest-margin service lines
- Expected impact
- Recovers most of the price/mix drag
- Owner
- CFO
- Timeframe
- 0–60 days
- Dependencies
- Contract review, commercial approval
- Risk
- Customer response in a competitive segment
Medium impact
Close the utilisation gap in the constrained region
- Expected impact
- Releases capacity and reduces overtime cost
- Owner
- COO
- Timeframe
- 0–90 days
- Dependencies
- Rostering change, two backfills
- Risk
- Short-term delivery disruption
Watch
Customer concentration in the top five accounts
- Expected impact
- Protects enterprise value and board risk position
- Owner
- CEO
- Timeframe
- Ongoing
- Dependencies
- Mid-tier growth programme
- Risk
- Renewal timing outside our control
Business Health Score
One number.
A thousand signals behind it.
Seven dimensions, each with a status and an explanation. Select a dimension to see what changed, why, what happens next and what to do.
Business health
78 / 100
One number, composed from thousands of governed signals across seven dimensions — with the full explanation one click away.
Illustrative exampleWhat changed
EBITDA margin fell 1.8 points.
Why
Direct wage cost and price/mix, concentrated in one region.
What happens next
Without a pricing or productivity offset, the gap persists.
What to do
Reprice two service lines; reset overtime thresholds.
AI alerts
Don't wait for the monthly report.
DecisionIQ surfaces what leadership needs to know before leadership asks — with the driver identified and the intervention attached.
Margin risk
Margin declined 2.1% in one service line. Driver identified: direct wage cost above planned overtime.
Recommended — Reset overtime threshold and reprice the affected line.
Growth opportunity
A customer segment is showing sustained increase in demand ahead of served capacity.
Recommended — Prioritise the segment in pursuit planning and release capacity.
Workforce risk
Attrition trend increasing in two delivery teams, with potential cost and capacity impact.
Recommended — Intervene on workload and rostering before backfilling.
Concentration risk
Top-five customer share is approaching the threshold agreed with the board.
Recommended — Accelerate mid-tier growth; secure the account in renewal.
Executive morning brief
Start the day knowing what matters.
Three things to know. Three actions. Then, if the day requires it, run the scenarios behind them.
08:45 AM
Business health 74
Three things to know
- 01Margin pressure in Region A.
- 02Customer concentration risk approaching threshold.
- 03Growth opportunity identified in Segment B.
Three actions
- 01Review pricing.
- 02Address capacity.
- 03Prioritise top opportunities.
Then: run scenarios
Board / investor mode
Board mode strips the noise.
Growth, EBITDA, cash, risk, enterprise value and strategic initiatives — with narrative support for the board pack rather than a rebuild of it.
AI-generated narrative
A plain-language account of the period: what moved, why, and what it means for the plan.
Key metrics
Growth, EBITDA, margin, cash flow, revenue per FTE and leverage, on one governed basis.
Material changes
The movements large enough to change the board's view, with their drivers attached.
Risks
Concentration, workforce, cash and compliance exposure, with trend and threshold.
Opportunities
Where value is available, with confidence, owner and timeframe.
Scenarios & actions
Modelled futures and the decisions that follow from them.
The architecture
Ingestion. Computation. Intelligence. AI persona. Presentation. Simulation.
Six layers, engineered as one platform. Select a layer to see what happens inside it.
Layer 01
Ingestion
Connect the relevant business data — ERP, CRM, finance, operations, HR, customer and external sources — through engineered, monitored pipelines.
- Source-system audit
- Pipeline engineering
- Incremental and batch loads
- Connection monitoring
The data foundation
One version of the truth.
DecisionIQ requires governed business data. Source-system auditing, semantic-layer design, pipeline engineering and data-quality validation are part of the platform, not a prerequisite left with the client.
Source systems
- ERP
- CRM
- Finance
- HR
- Operations
- Customer
- External
Data foundation
- Validation
- Standardisation
- Semantic layer
- Governance
Prism DecisionIQ
Trusted intelligence
Semantics before dashboards.
Most disagreements in a leadership meeting are definitional, not analytical. When margin, utilisation or revenue mean three different things in three systems, the discussion becomes about the number rather than the decision.
DecisionIQ resolves that first. Definitions are agreed, encoded in a semantic layer, reconciled to source and then reused everywhere — by the dashboards, by the forecasts and by the AI.
Data quality
Bad data should never become a boardroom decision.
Five categories of validation run before any figure becomes a governed KPI or reaches the AI layer.
01
Structural
Schema, types, keys and referential integrity behave as expected.
02
Completeness
Expected records, periods and entities are present — nothing silently missing.
03
Conformance
Values conform to agreed formats, codes, hierarchies and units.
04
Business rules
Domain logic holds: balances reconcile, dates sequence, statuses are valid.
05
Cross-source validation
The same fact agrees across systems before it becomes a KPI.
Governance & security
Intelligence you can trust.
Six pillars, defined at design time and enforced in the platform. Residency, encryption standards and retention are agreed per deployment.
Data residency
Data is hosted in the agreed jurisdiction, with residency defined at design time.
Encryption
Protection in transit and at rest using current industry-standard encryption.
Role-based access
Each persona sees only the information they are authorised to see.
Audit trail
Queries, access and AI interactions are logged and traceable.
AI guardrails
AI operates against governed business information within defined boundaries.
Data minimisation
Only the information required for the decision is used.
Human + AI
AI recommends.
Leaders decide.
AI
- Detects
- Analyses
- Predicts
- Simulates
- Recommends
- Monitors
Leaders
- Judge
- Prioritise
- Approve
- Act
- Account
Better decisions
DecisionIQ is decision support with governance — never uncontrolled autonomous decision-making.
DecisionIQ across the enterprise
Every leadership function, one governed layer.
Each role opens its own intelligence environment — scoped by permission, consistent by definition.
Use cases
7 decision domains. One platform.
Select a domain to see where DecisionIQ is applied.
From reporting to decision intelligence
Six levels. Most organisations stop at three.
Reporting, analytics and prediction describe the business. Simulation, decision intelligence and action intelligence change it.
- ReportingWhat happened?Historic performance is visible, usually after period close.
- AnalyticsWhy did it happen?Analysts decompose movement into contributing factors on request.
- PredictiveWhat will happen?Forecasts and trends extend the view beyond the reported period.
- SimulationWhat could happen?Decision-makers model alternative futures across multiple levers.
- Decision intelligenceWhat should we do?Intelligence produces ranked, owned recommendations.
- Action intelligenceDid it work?Outcomes are measured against expectation and fed back into the model.
- DecisionIQ operates at the final two levels — decision intelligence and action intelligence.
Implementation journey
Discover to optimise.
The journey is consistent; the duration depends on source systems, data condition and decision scope. Prism does not promise a universal timeline.
01
Discover
Understand systems, KPIs and the decisions leadership actually needs to make.
02
Blueprint
Define the architecture, personas and intelligence model.
03
Configure
Build the platform and the decision layer on top of governed definitions.
04
Integrate
Connect data sources through engineered, monitored pipelines.
05
Validate
Test KPIs, calculations and AI outputs against trusted references.
06
Enable
Train leadership and users on the decision workflow, not just the interface.
07
Go live
Launch the intelligence platform into the leadership operating rhythm.
08
Optimise
Continuously extend coverage, intelligence and decision quality.
Proven capability
The architecture already operates at scale.
Anonymised examples of platforms Prism has delivered using the same architectural patterns that underpin DecisionIQ.
30+
Data sources integrated
Engineered ingestion across finance, operations, commercial and workforce systems.
200+
Governed KPIs
Standardised definitions validated against existing enterprise measures.
80+
Dashboards delivered
Role-scoped views built on a single semantic layer.
50+
Automated pipelines
Monitored, scheduled and reconciled data flows.
Proven architecture patterns
- Business performance simulation platform with unit economics and scenario composition
- EBITDA-to-free-cash-flow modelling across multiple decision levers
- Governed KPI intelligence platform with a semantic layer at its core
- Persona-driven AI reasoning scoped to role and permission
- Validation of AI and platform outputs against existing enterprise measures
- Large-scale data integration across heterogeneous source systems
Anonymised capability examples drawn from delivered platforms. No client names, confidential financial information or proprietary details are disclosed.
Value creation
Better decisions compound.
Value does not come from the platform. It comes from the decisions the platform improves — and from making more of them, earlier, with less noise.
Revenue acceleration
- Better opportunities
- Better pricing
- Better customer decisions
Cost optimisation
- Productivity
- Workforce
- Process
- Operations
Capital intelligence
- Investment
- Acquisitions
- Allocation
Enterprise value creation
The DecisionIQ flywheel
Data. Understand. Intelligence. Decision. Action. Outcome. Learning.
Each turn of the loop makes the next decision better informed than the last.
Business doesn't need more reports.
It needs better decisions.
Leaders shouldn't have to wait for another spreadsheet.
Leaders shouldn't have to wait for another dashboard.
Leaders shouldn't have to wait for another analyst.
Leaders shouldn't have to wait for another meeting.
Leaders shouldn't have to wait for another report.
DecisionIQ puts intelligence where decisions happen.
See what matters.
Understand why.
Decide what's next.
Why DecisionIQ
Six principles behind the platform.
One governed truth
Consistent KPIs and controlled data across every lens and every leader.
AI-native
Intelligence is embedded throughout the platform, not bolted on as a chat window.
Persona-driven
Every leader sees what matters to them, from the same underlying reality.
Forward-looking
Prediction and scenario modelling, not just historical reporting.
Action-oriented
Recommendations connect to owners, timeframes and measured outcomes.
Enterprise-grade
Governance, security, auditability and controlled access by design.
Questions
What leaders ask us about DecisionIQ.
No. DecisionIQ sits above reporting. Existing BI answers what happened; DecisionIQ adds why it happened, what is likely to happen next, what happens under alternative scenarios, and what leadership should do. Where a BI estate already holds trusted measures, DecisionIQ validates against them rather than competing with them.