All 71 capabilities, and the plan each one needs

Executive-level visual timelines showing programmes and major initiatives across quarters or years, with dependencies, milestones and swim lanes by business unit, product or geography.

Configurable dashboards presenting portfolio health - RAG status, schedule and cost variance, capacity utilisation, risk exposure, benefits - tailored by audience and refreshed automatically.

Machine-generated analysis over portfolio data - narrative status summaries, early warning on at-risk initiatives, forecast anomaly detection, natural-language querying, and agentic workflow actions.

A genuine multi-level object model where programmes are real entities with their own budget, schedule, risks, benefits and governance - not just a tag or folder applied to a group of projects.

Explicit, typed dependencies between deliverables in different projects - finish-to-start, resource-based, contractual - with automatic impact analysis when a predecessor slips.

Automatic consolidation of project milestones into a programme-level milestone plan, with status, forecast dates, variance against baseline and trend.

A consolidated RAID log at programme level, aggregating from projects and holding programme-specific items, with owners, due dates, escalation paths and closure evidence.

Formal change requests against an approved baseline, with impact assessment on scope, cost, schedule and benefits, approval routing, and a versioned history of every baseline.

Generating steering-committee-ready status packs directly from live data on a schedule, rather than assembling them manually from project submissions.

Reusable project templates carrying pre-built WBS, lifecycle gates, RAID starters, document requirements, roles and reporting - so every project of a given type starts governed.

Storing project documents with version history, check-in and check-out, approval workflow, controlled distribution and retention.

Budget, committed cost, actual cost and forecast at project and task level, covering labour, non-labour, capital and expense, with variance reporting.

Capturing actual effort against tasks, projects or cost codes, with submission, approval workflow, and feeding actual cost and progress calculations.

A hierarchical work breakdown structure with unlimited levels, summary and detail tasks, WBS coding, and roll-up of effort, cost and progress from leaf tasks upward.

A true critical-path-method scheduling engine - task dependencies with lead and lag, constraint types, calendars, and automatic forward and backward pass calculation.

Capturing an approved snapshot of schedule, cost and scope, retaining multiple baselines over time, and reporting actual and forecast against the baseline.

Identifying the longest dependent path determining the finish date, and calculating total and free float for every activity.

Assigning named people or generic roles to tasks with effort and availability, detecting over-allocation, and levelling or smoothing the schedule to resolve conflicts.

Structured risk and issue registers with probability, impact, scoring, mitigation and contingency actions, owners, due dates and escalation.

Native mobile apps allowing status update, timesheet entry, approval, document access and dashboard viewing away from a desk, ideally with offline capability.

Configurable approval chains with sequential and parallel steps, conditional routing on value or type, delegation, and full approval audit trail.

A single governed channel for operational work requests - support, maintenance, small changes - distinct from project demand, with categorisation, routing and prioritisation.

A configurable rules engine - when this happens, do that - covering assignment, notification, status change, approval routing, escalation and integration calls.

Capture, triage, assignment, tracking and closure of individual operational tickets, with queues, ownership and resolution recording.

Managing repeating operational work - preventive maintenance, monthly reporting cycles, periodic compliance activity - on schedules rather than as one-off tasks.

Dashboards covering operational performance - SLA compliance, throughput, backlog, ageing, resolution time, utilisation - distinct from project delivery reporting.

Permission control at object, field and record level, driven by role, group and relationship to the record - not just coarse tiers of read, write and admin.

Import and where relevant round-trip of schedules from Microsoft Project (.mpp, XML) and Primavera (XER, P6 XML), preserving structure, dependencies and resource assignments.

Built-in reporting and analytics - custom report building, cross-object queries, calculated fields, visualisation and scheduled distribution - without an external BI tool.

Embedded AI - natural-language querying, generated status narrative, risk prediction, document summarisation - and agentic capability that takes actions rather than only producing text.

Immutable logging of every material action - who changed what, when, from what value to what value - retained per policy and exportable for audit.

A documented, versioned REST API covering read and write across the object model, with authentication, rate limits and webhooks for event-driven integration.

Full Arabic interface localisation with proper right-to-left rendering, plus Arabic content entry, search, sorting and correct rendering in reports and exports.

The availability of certified implementation partners, and specifically whether any operate in or near your region with local-language capability.

AI that classifies incoming RAID items, proposes probability and impact scores against the tenant's matrix, detects that the same underlying risk appears across multiple projects, and identifies registers going stale.

Generation of written status commentary for projects, programmes and portfolios from the underlying delivery, financial and RAID data — the prose that accompanies the numbers in a steering pack.

Automated assessment of schedule health against recognised quality checks — missing logic, negative lag, constraint abuse, excessive float, dangling activities, unrealistic durations, resource-free tasks — with plain-language explanation of why each finding matters and how to fix it.

Duration and effort estimates for new work proposed from actuals on comparable completed work, with the comparable set shown, the variance range stated, and the basis of comparison explained.

Extraction of structured work items — actions, decisions, risks, issues, dependencies — from unstructured sources such as meeting notes, minutes, emails and uploaded documents, proposed for confirmation into the appropriate register.

The foundational infrastructure every AI feature runs on: retrieval under user permissions, grounding and citation, prompt and model version registry, immutable run logging, per-tenant and per-feature enable and disable, evaluation harness measuring prediction accuracy against outcomes, and cost control.