Every Project.
On Time. On Budget.
With Confidence.
Leadership teams are accountable for delivery outcomes, but the data they rely on is often inconsistent, incomplete, or lagging.
FireBreak does not report status. FireBreak measures delivery confidence.
The Delivery Confidence Score (DCS) uses deterministic ML to analyse cross-domain patterns - giving you 4-8 weeks early warning and explaining what is driving risk.
Get your Delivery Confidence Score in 2 minutes • No meeting required
Trusted By Leading Organisations
Every Project. On Time. On Budget.
Real results from organizations using DCS
Act confidently with lead time traditional dashboards can't provide
Deliver on-budget by identifying opportunities early
Consistently deliver on-time, on-budget outcomes
Why DCS Is Credible
Built for regulated enterprises that need explainable, defensible forecasts—not black-box predictions
Deterministic Scoring
The same inputs always produce the same score. DCS uses mathematical modeling and statistical correlation—not generative AI or LLMs. Every prediction is repeatable and verifiable.
Evidence-Backed Predictions
Every score shows you the exact data points and cross-domain patterns that drove the prediction. You can trace every forecast back to measurable evidence in your systems.
Explainable Methodology
DCS combines schedule performance, budget burn rate, approved & pending change impact, and decision latency. Each factor contributes mathematically to the score—you see exactly how and why.
Audit-Ready Logic
Designed for regulated and enterprise environments. Every prediction includes full reasoning trail, data lineage, and confidence intervals. Defend your decisions to the board with traceable evidence.
Not black-box AI: DCS is calculated using transparent, deterministic scoring logic—not generative models or neural networks. Every score is backed by measurable data and traceable evidence, giving project leaders the confidence to act on predictions without fear of unexplainable "AI magic."
What Data Does DCS Use?
DCS reads your existing data—no re-keying, no duplicate processes, no replacing your current tools
Schedule Data
Milestones, timelines, dependencies, critical path
Budget Data
Actuals, forecasts, burn rate, contingency
Analysed together, not in silos
Change Data
Scope changes, pending requests, impact tracking
Decision Data
Approvals, response times, bottlenecks
FireBreak DCS doesn't replace your tools—it reads them.
No re-keying data. No abandoning Jira or Excel. FireBreak DCS connects to your existing systems, analyzes the data you already have, and reveals cross-domain patterns that no single tool can detect. You keep using what works—FireBreak DCS just makes you smarter.
How FireBreak DCS Sees What Others Miss
Traditional tools analyze data in silos. FireBreak DCS connects the dots across all your systems.
- →Only see schedule and task data
- →Miss budget trends
- →Can't detect decision delays
- →Only track budget spend
- →Miss timeline dependencies
- →React after overruns occur
- →Manual risk assessments
- →Weekly or monthly updates
- →Can't predict cross-domain patterns
Cross-Domain Pattern Detection
FireBreak DCS uses deterministic machine learning to analyze all your data sources together and detect compound risk patterns:
Connects All Data Sources
Integrates project management data, budget systems, change request queues, and governance logs into a unified intelligence layer
Detects Cross-Domain Patterns
Spots dangerous combinations like high burn rate + timeline dependency + decision latency that no single system can see
Predicts 4-8 Weeks Early
Analyzes trend velocity across all domains to forecast budget overruns and timeline failures weeks before they appear on traditional dashboards. Correlates budget burn rate, timeline slippage, and resource attrition simultaneously.
Explainable Predictions
Transparent predictive reasoning shows exactly which cross-domain patterns triggered the forecast. You can defend your decisions to the board with evidence-backed predictions, not gut feelings or unexplainable "AI magic."
The Data Revolution That Changed Winning
Formula 1 was transformed when teams stopped relying on gut feel and post-race analysis. Today, elite teams process 300+ sensors generating 1.5 million data points per second - tyre wear, fuel load, competitor gaps, weather patterns.
They don't wait until the finish line to know if they're losing. They see patterns mid-race and adjust strategy in real-time: pit early, switch tyres, change engine modes. The teams that embraced data don't just compete - they dominate.
DCS does the same for project delivery.
It continuously analyses patterns across budget, schedule, decisions, and changes - not in silos, but together. You see what's emerging, not what's already happened. And you adjust while there's still time.
Traditional Dashboard
Like checking the lap times after the race. You see green/amber/red status, but by then it's history.
DCS Intelligence
Like the F1 pit wall - real-time cross-domain data showing patterns before they become problems. Budget burn + schedule slip + decision delays = time to adjust strategy.
The Outcome
4-8 weeks to intervene. Reallocate budget, accelerate decisions, descope features - while options still exist.
Why It Works For You
Built to fit your reality, not the other way around
Intelligence Layer, Not Another Platform
Your teams keep using Jira, Monday, Excel, SAP - whatever works. DCS sits on top as an intelligence layer, reading your existing data. No migration, no retraining, no adoption battles.
- No new tools for your teams to learn
- Connects to your existing systems
- Intelligence from day one
Concerned About Your Data Quality?
You're not alone - it's the #1 concern we hear. That's why we built the Data Quality Score (DQS). See exactly where your data stands across completeness, freshness, and consistency.
- Single view across all your project systems
- Know exactly what to fix and where
- Available standalone or with DCS
F1 engineers never act on data they don't trust. DQS ensures you know how reliable your project data is before you act on it.
Good - Ready for confident analysis
Completeness, freshness, baseline integrity
Actuals, forecasts, mathematical consistency
Impact fields, approval status, implementation tracking
Submission dates, decision dates, owners
Priority fix to reach 90%+
Add budget impact to 3 pending change requests in your change control system
Why it matters: Decisions made on stale or incomplete data are guesses, not decisions. When your DQS reaches 85%+, DCS predictions become highly reliable - you'll see issues 4-8 weeks before they surface.
See FireBreak DCS Predictions
FireBreak DCS detects cross-domain patterns invisible to traditional dashboards
Budget Burn Rate Crisis
4 Weeks Early Warning
Current DCS
HEALTHYProjected in 4 Weeks
CRITICALDeclining Trajectory Detected
The Detection
Cross-domain pattern: High burn rate + timeline dependency + no budget buffer
The Prediction
In 3-4 weeks: Must choose between 6-week delay OR £68K overrun
Why This Matters
Without early warning, this becomes a crisis negotiation with the board. FireBreak gives you 4-8 weeks to make strategic choices instead of emergency panic cuts.
The Consequence
Timeline requires full budget. You can't hit both targets.
Action Required
Decide in 48 hours or face emergency scope cuts with no planning runway
Built For Project Leaders
FireBreak DCS augments your PMO's expertise with cross-domain intelligence—giving you the data-backed confidence to defend tough decisions and catch problems before they escalate
Portfolio Dashboard
8 active projects • Last updated 2 min ago
Mobile App Development
Due: Mar 2025
Cloud Migration
Due: Apr 2025
Website Redesign
Due: Feb 2025
CRM Integration
Due: May 2025
Why Portfolio Visibility Matters
Spot Patterns Across Projects
When multiple projects show declining FireBreak DCS scores simultaneously, it reveals systemic issues in resource allocation, governance, or vendor performance that single-project views miss.
Prioritize Interventions
Portfolio view shows you which projects need immediate attention (FireBreak DCS <50%) versus which are on track, helping CTOs and PMO leaders allocate scarce resources where they'll have the most impact.
Track £M-Level Risk Exposure
Aggregate "Budget at Risk" across all critical projects gives executives the real number for board reporting - not the optimistic dashboards, but the predictive early warning total.
Prevent Cascading Failures
FireBreak DCS detects when one project's failure will trigger delays in dependent projects, showing you the domino effect before it happens so you can break the chain.
The Problem We Solve For Each Role
CFO
- Budget burn vs delivery progress mismatch
- Lack of early warning for financial exposure
- No consistent view across project portfolio
COO
- Late surfacing of delivery issues
- Inconsistent reporting across programmes
- No unified framework for confidence assessment
CIO
- Multiple tools, no single trusted view
- Data quality issues undermining decisions
- Difficulty defending delivery forecasts
CEO
- "Green" status reports that later prove misleading
- No early warning of strategic delivery risk
- Accountability gaps between status and outcomes
FireBreak DCS detected the overrun 6 weeks before dashboards showed any warning signs, giving the team time to intervene.
Read Full Story →Cross-domain pattern detection identified cascading timeline delays before they became critical.
Read Full Story →Get Your Project Health Check
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