The AI-powered command centre for strategic programs execution
One live platform from strategy to task — with Polaris, an AI advisory board that tells you what's happening and what to do next.
Polaris — AI Program Advisor
—▢✕
{{ m.role }}
{{ m.text }}
Polaris is reading the portfolio…
Demo thread on sample portfolio data — in your workspace every figure traces to its own record.
Program truth today is scattered across a dozen tools and files
Today's honest answer: "nobody's quite sure — give us a few days."
Today: the warning sits in an unread risk log until the steering committee.
Today: wait for next month's deck — or the consultants.
Most tools solve a slice — Lodestar runs the whole spectrum
LodestarPolaris+ THE AGENTIC & INTELLIGENCE LAYER ON TOP · WATCHES · RECOMMENDS · SIMULATES · ACTSGive strategy, transformation and the PMO back their week
Stop reconciling the past. Start deciding the future
The assembly work is the job today. Automate it and the same team spends its week on the work only people can do.
One connected model from pillar to evidence
A slipping task tints its pillar amber the moment it happens — not at month-end.
- Weighted roll-up by effort or budget — the basis disclosed
- Every KPI carries a named owner and required evidence
- Early warning before the review, not after it
A full critical-path engine with what-if before you commit
Move a date, see the new finish date on the spot — the baseline stays frozen.
- Float and near-critical, live
- Changes commit through the same governed, audited path
No-code stage gates where nothing stalls silently
Every gate carries its approver, evidence and SLA — overdue approvals escalate on their own.
- Status is computed from dates and approved evidence — never typed
- Time-boxed, scoped, capped and revocable delegation of authority
- Committee decisions and actions linked to the work they govern
An early-warning system, not a rear-view mirror
Earned Value engine turns the numbers into an early warning.
- Budget · secured · committed · actual · forecast · variance
- Overload shows on the peak week — not hidden in an average
- Financial and Human capital oversight
Board reporting in seconds, in four formats and five languages
Custom Dashboards and Report Studio over the live model — a report can never disagree with a dashboard.
- PDF · PPTX · Word · HTML — and AR ⇄ EN
- Self-distributing each cycle, archived in-region
- Board-grade portfolio, program and project templates
One governance spine — forums, decisions and actions, all linked
Every forum — SteerCo to Risk Committee — holds its members, meetings, decisions and actions in one place; every decision links to the plan item it moves.
- Minutes become owned, dated decisions and actions — nothing evaporates after the meeting
- Every decision carries a reference and links to the project or pillar it moves
- Overdue actions are chased and escalated automatically — across every forum
Ask PolarisA standing board of AI advisors reading everything, every cycle
Seven AI chiefs read the whole program every cycle — a Chief of Staff de-conflicts them into one brief leadership acts from.
Where the money is really going — overruns, burn ahead of progress, EAC breaches.
Whether the portfolio still serves the strategy — and the spend that drifted off it.
Capacity and key-person risk before either becomes the reason a date slips.
Which exposures actually threaten delivery — and the mitigations that quietly stalled.
Which greens to believe — watermelon projects and quiet performance drift.
The value case — benefit slippage, value-at-risk and commercial leakage.
Integration risk and tech debt sitting on the delivery path.
Reads all seven and de-conflicts them into one brief — the single page leadership acts from.
The chain is spaced at a near-exact 143-day cadence with zero float on every node — the signature of template sequencing, not estimated durations. 2,090 days with no float and no overlap has zero absorption capacity, and it terminates exactly on the program window end date.
Re-plan the segment with bottom-up durations from the P25 delivery team, deliberately engineering float into the two handover points. Deliver a board-approved chain baseline before the Q4 2026 planning close.
Projects the finish date from the performance trend — flagging slippage weeks before a deadline is missed.
Ten typed detectors: progress spikes, stagnation, budget-burn mismatch, duplicate reports, ghost projects, velocity collapse, ignored high risks, stale approvals — plus two anti-gaming classes.
When one date moves, the ripple is simulated portfolio-wide — and AI finds the undeclared links, priced in days of end-date impact.
Deterministic data-trust scoring catches projects green outside, red inside — stale reports, spend ahead of progress, claims with no evidence.
An advisor proposes a concrete, quantified move
Previewed in a sandbox; second-order effects computed by math
Two-phase, drift-checked; permissions equal the manual routes
Sealed in an immutable AI Decision Log on the hash chain
Weeks later: improved, unchanged or worsened — advisors calibrate
Polaris — AI Program Advisor
—▢✕
{{ m.role }}
{{ m.text }}
Polaris is reading the portfolio…
Demo thread on sample portfolio data — in your workspace every figure traces to its own record.
Not a chat layer bolted on — agents running inside the model itself
Agents read and write your live plan through the same permissions, approvals and audit trail people use.
The agent doesn't hand you text to copy. It stages the actual change in a sandbox and waits for a human signature.
POLARIS·CFO AGENT · CYCLE 34HIGHSend the weekly update as a document or plain text. The agent extracts typed edits on the plan; a human approves them.
AGENT TYPES 3 EDITSThe agent forks the whole program, runs the engine on the copy, and writes the committee pack from the result.
Agents invoke the same scheduling engine, EVM and resource model the screens run on — the numbers cannot diverge.
No agent reads or writes anything its human owner couldn't — RBAC is enforced on the agent, not around it.
Two-phase, drift-checked apply, sealed in an immutable decision log — every agent action can be traced and undone.
Weeks later the engine measures what each applied move actually did — an advisor that was wrong loses weight.