Public sector · Saudi Arabia
Government entities delivering Vision 2030 plan around commitments that will not move. One live plan, from priority to initiative to project, lets every planning option be tested as a scenario in the room, with fixed-date work locked in place.
The planning challenge
Vision 2030 sets long-term goals that government entities turn into initiatives, projects and services. Teams that already run day-to-day operations take on new work, and every change has knock-on effects across projects, people and budgets.
Some commitments cannot move at all. National events such as Expo 2030 Riyadh come with fixed opening dates, and around them sit transport, utilities, venues and services delivered by many entities, each with its own portfolio. Each project can look sound on its own; conflicts appear where they overlap, such as the same specialists needed in the same quarter.
Answering “if we change this, what happens to everything else?” with spreadsheets takes days, and the deck can be out of date before it reaches the steering committee. With a strong national focus on artificial intelligence, entities also ask a practical question: where does AI help planning, and what data should it see?
How aangine helps
aangine is the decision layer above the PPM and delivery tools your entity already uses: one live plan that links Vision priorities to initiatives, projects, capacity and budget, and sends the approved plan back.
Deadline-bound and mandatory projects are locked, and dependencies and deadlines are never broken in a replan. Portfolio Journey maps the plan period by period, and the AI Portfolio Analyst flags the critical dependency chain behind each date and teams heading for overload, so conflicts are visible early, while there is still room to act.
Budget lines, CAPEX and OPEX and labor cost rates sit next to capacity and value. When budget assumptions change, one click replans: locked work stays, dependencies hold, and every option is compared side by side before anyone decides.
When responsibilities move to a new owner, the plan moves with them. Capacity is planned by team, role, skill or person, with operations work counted separately, so receiving teams see what they can take on and leaders see the knock-on effects before approving.
The AI Portfolio Analyst writes summaries, highlights capacity risks and ranks recommendations. Bring your own AI, on-premises or in the cloud; only IDs reach the model, never names. aangine holds SOC 2 Type 2, ISO 27001 and ISO 27701, and runs as SaaS, private cloud or on-premises.
In practice
A practical sequence for entities delivering services and infrastructure around a fixed-date national commitment.
Mark deadline-bound and mandatory projects as locked. Their dates hold through every replan, and so do the dependencies that lead to them.
Import projects, teams and budget lines from the tools and spreadsheets each team already uses. Start with the data you have; estimates are fine.
Model each planning option as a scenario. Replan in one click and compare them side by side on cost, capacity, value and timing.
See which team or budget limits each option, agree on the plan with the people who own it, and push the approved version back to the delivery tools.
How aangine works
aangine is the decision layer above the tools you already use. No rip & replace: it imports your plans, replans them in one click and pushes the approved plan back.
The result: faster, clearer decisions when it matters most.
Keep exploring
Book a demo
Book a demo to talk through your entity’s Vision 2030 portfolio: the fixed-date work, the priorities that may shift, and how a change would ripple across capacity and budget.
