
Since 2020, Forecast’s AI has powered predictive capacity planning, skill-based resourcing and actionable insights into performance, profitability, and utilisation.

Forecast AI connects projects, resourcing, and financial performance to predict how projects will finish. By identifying risks early, teams can intervene before scope, timelines, or budgets drift.
AI-assisted resourcing evaluates skills, availability, workload, and past performance to recommend the best-fit resources for every task. Dynamic placeholders allows teams to model upcoming work, then assign the best resource as work is committed.


Connecting delivery performance, resourcing decisions, and financial signals, Forecast AI predicts financial outcomes in real time, helping teams adjust plans before impacting profitability.
Forecast is extending its AI capabilities to include MCP and Agentic Services.
An intelligence bridge that connects delivery data to powerful AI models like Gemini Pro or Claude, helping you make sense of complex scenarios.
Automated agents that detect project risks early and trigger alerts or replanning scenarios to keep delivery on track.
(Coming Soon)
(Coming Soon)
(Coming Soon)
(Coming Soon)
Core Data Engine
Smart Interface
Orchestration Engine
Contextual Memory
Foundational Agents
Resource Intelligence
Automatically detect missing time entry or conflicting data.
Receive early warning signals while corrective action is still possible.
Understand the “why” behind project drift and prevent it from happening.
Optimize resource allocation and protect margins with learnings from live delivery data.
Agentic scenario planning when scope or capacity changes.
Advises on hiring profiles and skill gaps based on upcoming delivery demand.
Make every project perform like your best one. Explore how Forecast can help you get there.
AI in professional services helps firms analyze delivery data, forecast project outcomes, optimize resource allocation, and protect margin performance. Rather than automating tasks blindly, modern AI systems like Forecast use machine learning to identify patterns, model likely outcomes, and recommend adjustments before projects drift off track.
Unlike tools that layer AI on top of existing workflows, Forecast was built with machine learning at its core. Since 2020, its model has continuously learned from delivery performance, staffing patterns, and financial signals—refining forecasts and recommendations over time. Forecast’s AI is embedded across the services lifecycle, not bolted on.
No. Forecast’s AI is designed to elevate project managers, not replace them. It surfaces predictive signals, models outcomes, and recommends course corrections—but leaders remain in control, reviewing and approving adjustments. AI helps teams work more efficiently, while human decisions help the system learn and improve.
Yes. Forecast’s AI operates within the same secure infrastructure that protects your project, financial, and client data. MCP and agentic capabilities are designed to access only authorized operational data within your organization’s environment. Forecast does not expose sensitive client information to public models and maintains strict data governance and access controls. View our security policy.
AI delivers the greatest value when planning, staffing, and financial data are structured and aligned. Forecast’s AI Readiness Assessment evaluates your operational processes and highlights where improvements will unlock the most impact. Assess your AI readiness now.