For the Chief Information Officer
Show all demand against IT’s real capacity, on top of the PPM and delivery tools you already run. Start from estimates on day one, and keep your AI and your data under your control.
The challenge
The business asks for far more than IT can deliver, and every refusal spends a little trust. Without a plan that shows demand against real capacity, every answer sounds like an excuse or an overpromise. So IT ends up campaigning for resources instead of showing what each request would take.
Mandates raise the stakes. A new regulation lands with a fixed date and goes to the top of the list. That part is easy. The hard part is the conversation with every business sponsor whose project just slipped. Meanwhile the PPM holds good delivery data, but executives rarely decide from it: it serves as the system of record for delivery, while decisions need a place for scenarios and trade-offs.
Two familiar concerns hold planning back. One is “we’ll start once our data is clean,” a moment that never quite arrives. The other is AI: before any model touches portfolio data, the CIO and the CISO need to know which model, where the data goes and whether the answers can be trusted.
How aangine helps
Keep the PPM as the system of record for delivery and add the layer executives decide in: scenarios, trade-offs and replanning in the room, with approved plans pushed back.
Load all demand into one plan and show what delivering more of it, or all of it, would take: which skills, how many people, which quarters, what budget. See exactly which requests don’t fit and why, so the conversation is about choices, not refusals.
Mandatory work is locked and never moves. One click replans the rest of the portfolio around it and shows what moved, what slipped and what no longer fits, with the reasons. Each sponsor sees what the mandate displaced and what it would take to protect their project.
Sitting on top of Planview, Broadcom Clarity, OnePlan, OpenText PPM, ServiceNow SPM and others, aangine imports what the PPM holds and the spreadsheets it doesn’t, plans and replans, and pushes approved plans back. As planning becomes a habit, more of the business feeds the PPM.
Bring your own AI, on-premises or cloud, from your approved list. Only IDs are sent to the model, never project, person or department names. Charts and numbers come from aangine’s algorithms and real data. Backed by SOC 2 Type 2, ISO 27001 and ISO 27701; deployable as SaaS, private cloud or on-premises.
In practice
Data quality is an outcome of planning, not a prerequisite. Waiting for clean data keeps planning in spreadsheets; starting with what you have is how planning moves out of them.
Pull projects and teams from the PPM, Jira, Azure DevOps and the spreadsheets that sit outside them. Rough effort estimates are enough to start.
Bring every request into the plan, including new mandates, and lock the work that cannot move. Then replan in one click against IT’s real capacity.
Show sponsors which requests fit, which don’t and why, and what it would take to deliver more. “To deliver this, we need…” comes with the plan behind it.
Once people see their numbers used in real decisions, they start keeping them right. Each planning cycle leaves the data, and the PPM, in better shape.
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.
What our customers report in their case studies. Read the customer results
Keep exploring
Book a demo
Book a demo to talk through your demand backlog, the mandates landing on IT and your PPM landscape, and see how a costed answer replaces a no.
