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Today, CMap introduced CMap intelligence: a clear, practical vision for how AI, intelligence, and automation can support professional services firms.
With delivery complexity rising, margins tightening, and AI moving at pace, professional services leaders are under pressure to act quickly and often without clarity on how AI can be applied in practice. Many are left unsure where to start, which use cases to prioritise, or how to adopt AI without adding risk or disruption.
CMap intelligence is not about adding another standalone AI tool, nor about forcing teams to work differently. Instead, it embeds intelligence directly into the proven CMap processes firms already rely on, helping leaders focus on where AI genuinely supports better planning, delivery, and decision‑making.
The goal is simple: make everyday work quicker and easier, provide real-time insight for confident decision-making, and remove friction from how professional services firms plan, deliver, and manage their work. At its core, CMap intelligence is about turbo‑charging proven CMap processes with the right mix of AI, intelligence, and automation.
CMap intelligence is structured around a set of intelligence agents, aligned to the core functions of services firms, including sales, delivery, operations, finance, and administration. For example, the Operations Agent reflects CMap’s vision for helping firms build stronger teams, deliver exceptional outcomes, and unlock productivity by surfacing real-time operational insight inside the workflows leaders already use to manage capacity, resourcing, and delivery.
This approach reflects a deliberate design philosophy on CMap’s behalf that: AI shouldn’t be a distraction. It should be simple by design, embedded in core processes, and supported by the right technology for the job.
As part of this vision, CMap recognises that software interaction is evolving. CMap intelligence supports this through the introduction of CMap Chat, enabling conversational access to insight where it genuinely adds value, without replacing established workflows.
For firms that have begun their AI journey and have built their own in-house LLM, CMap intelligence will also look to support through the Model Context Protocol (MCP). Our MCP will allow CMap, alongside other third-party systems, to be securely connected to an in-house LLM, enabling rich, cross-platform insights.
Jon Stead, CEO of CMap, said:
"Services firms don’t need more AI noise, they need clarity. CMap intelligence is about helping firms understand where AI genuinely adds value, and applying it in a way that strengthens the processes they already depend on.”
Ben Jervis, Product Director at CMap, added:
"CMap intelligence is already having a positive impact for our clients, and this is only the start. We have a fantastic roadmap ahead that will continue to turbo-charge the core of all our CMap products over the coming months.”
Customers can learn more about CMap intelligence, what’s live and coming soon, through their CMap Account Manager or via the CMap website.
