Start in the register
Log risks where the work happens - scores, ranges, owners, actions and evidence. Every row is already structured for simulation, with a full audit trail.
Open the registry →RiskForesight turns the register, schedule and cost plan your team already manages into one defensible risk decision. Simulate exposure, test mitigations, and show exactly what moves the finish date.
Below is one live RiskForesight project, not a screenshot tour. Start in the register, open the schedule, run QRA, ask AI, and test the decision yourself.
Log risks where the work happens - scores, ranges, owners, actions and evidence. Every row is already structured for simulation, with a full audit trail.
Open the registry →Import the CPM schedule, inspect the WBS, activities and logic, then connect risks to the work they actually affect. No export loop. No second model.
Explore the schedule →Turn duration ranges, calendar risks, correlations and mitigation assumptions into a full Monte Carlo run - with P50, P80 and drivers you can explain.
Run the engine →Ask questions, draft narratives, check assumptions and surface lessons learned. AI works through permissioned tools, with human approval before anything changes.
Ask the copilot →Compare scenarios, see what moved P80, test mitigation value and turn the result into a board-ready story your team can stand behind.
Compare scenarios →Risks, ranges, owners and actions stay in the same model that powers schedule and cost simulation. No spreadsheet hand-off before quantification.
CPM logic, uncertainty ranges, calendar risks and correlations live together, so P50 and P80 come from the work model itself.
When the room asks what moved the finish date, you can point to drivers, assumptions, mitigations and run history — not a disconnected export.
RiskForesight AI is not a generic chat window. It understands the register, schedule, assumptions, runs and lessons — then works through controlled tools your team can review before anything changes.
A copilot with 50+ typed tools over the same permission-guarded data.
Surface candidate risks from your plan and project narrative.
Suggest likelihood, impact ranges and fitting distributions.
Validate probabilities, impacts and distributions before you run.
Recommend the activities and cost items each risk actually drives.
Summarise the schedule and results in plain language, ready to review.
Auto-draft schedule and results narratives, ready to send.
Capture lessons on close; resurface them on similar projects (RAG).
Semantic search across your documents and past projects (RAG).
Every write needs your explicit confirmation. You stay in control.
Once the team chooses a path, RiskForesight keeps the evidence together: selected run, assumption changes, driver movement, owner and AI-prepared rationale. The decision can be approved, shared and audited later.
The selected action reduces schedule exposure without changing the project logic your team approved.
Run history, assumptions and drivers summarised.
Long-lead package selected as the decision lever.
Action owner and decision date captured.
Evidence, narrative and audit trail stay linked.
Your risk register has always lived in one tool your Monte Carlo in another RiskForesight is the one place where the register you manage and the simulation you defend are the same model.
Hit Run and the register you just saw becomes a full Monte Carlo — no export. Schedule-health checks flag problems as you build, so you catch them before you commit the run. The engine runs entirely server-side, follows AACE RP 57R-09 practice, and reproduces byte-identical outputs from the same seed: auditable, not anecdotal.
Quantitative risk only changes a decision if stakeholders believe it. RiskForesight makes the model transparent, interactive and presentation-ready — built for live risk workshops and board reviews, not just analysts.
Compare scenarios live in a workshop — before-and-after on one screen, so the trade-off is obvious to everyone in the room.
The risk-driver method shows one cause driving many activities — stakeholders see why the finish date moves, not just that it does.
Auto-visualise the schedule and spend the way risk actually reshapes them — presentation-ready, fully customisable.
Stochastically test mitigation proposals and read the cost-benefit — so contingency and actions are money well spent.
Blend lessons-learned, actual performance and historical weather into the model — defensible, not gut-feel.
Clear process flows and an interface occasional users can follow — the model is auditable and the room can trust it.
Legacy tools document risk or calculate it in isolation. RiskForesight connects the evidence, the simulation and the action your team takes next.
The risk register your team owns is the same model that drives schedule and cost simulation. No exports, re-keying, or competing versions of the truth.
Run full QSRA and integrated cost risk with correlations, calendars, branching, and deterministic CPM on every iteration - not a simplified risk score.
Show the drivers behind P80, compare mitigations side by side, and keep a traceable record of how a decision was reached.
Bring project controls, risk, and leadership into one secure workspace - with AI assistance that keeps people in control.
| Legacy desktop QSRA | RiskForesight | |
|---|---|---|
| Register & simulation | Two separate tools | One model — manage and simulate the same rows |
| Handoff to quantify | Export, re-key, reconcile | None — the register is the model |
| Delivery | Single Windows desktop | Web-native — any browser, anywhere |
| Risk-driver method | Limited / manual | One cause → many activities, natively |
| Probabilistic logic | Rare | Links, branching & risk calendars |
| Cost + schedule | Separate tools | Integrated ICSRA with Joint Confidence Level |
| Schedule health | Add-on / none | DCMA-14 checks built in |
| AI assistance | None / limited | Copilot + lessons (RAG) across the workflow |
| Collaboration | File hand-offs | Shared multi-tenant workspace |
| Deployment | Weeks–months of IT | Live in a day — cloud or on-prem |
The same register scales up. Aggregate risk from frontline projects to programme and enterprise level — see the connections between risks that span projects, and roll critical exposure into a board report without re-keying a thing.
Built for the industries where risk analysis is mandatory — defense, energy, construction, infrastructure — with the controls their security teams expect.
Per-tenant isolation enforced in the database itself, not just the app — continuously regression-tested.
Every change logged and reversible, for accountability and defensible results.
Data retention, right-to-erasure and PII redaction built in.
Strict CSP & HSTS, OAuth sign-in, captcha-protected, MFA — with error monitoring and health checks.
Pin a no-egress mode: AI features disabled or routed only where you allow.
Self-host for data residency and air-gapped environments.
12 integrated capabilities work as one operating model: the risk your team captures is the risk your analysis quantifies and your decision changes.
Build a living register around the project, not a spreadsheet hand-off. Scores, ranges, owners and actions stay connected to the schedule they affect.
Explore the risk workspace →Simulate duration uncertainty, discrete risks, calendars and correlations against the actual CPM schedule. P50 and P80 come with the drivers behind them.
See the Monte Carlo engine →Compare a baseline with a proposed action before you commit. Make the trade-off visible in P80, cost and critical drivers — then take a defensible decision into the room.
Explore decision scenarios →Best lever: accelerate long-lead procurement
-17d at P80Second lever: reduce weather exposure
-6d at P80Build your risk register, import a schedule and run your first full Monte Carlo on the same model today — one place, free, no credit card.