CMap launches Chat AI tool for professional services

CMap has launched CMap Chat, an artificial intelligence agent for its professional services automation platform. The tool adds a conversational interface to the company's existing AI features.

The product is aimed at consulting and architecture, engineering and construction firms that use CMap's software to manage sales, operations, project delivery, finance, reporting and administration. Users can ask questions in plain language and receive answers drawn from their own operational data, rather than building reports or navigating dashboards.

The launch expands CMap Intelligence, the company's earlier AI offering, which is built around six specialist agents covering sales, operations, delivery, finance, reporting and admin. CMap Chat sits above those functions, giving staff access to insights through a single conversational prompt.

Early users are applying the tool to routine commercial and operational queries, including checking which invoices are overdue, forecasting quarterly revenue, identifying sales opportunities most likely to close, finding outstanding timesheets and seeing which consultants are available to start new projects.

The system can also generate reports from natural language requests, reducing the time spent searching across multiple systems for information. That puts the new product in a growing market for AI assistants designed to sit inside business software and answer questions using company data rather than general web results.

Operational focus

CMap argues that generic AI models can produce plausible answers but often lack the business context needed for operational decisions. Its pitch is that a system trained on a firm's own quotes, margins, resourcing choices, wins and write-offs can provide advice that is more relevant to day-to-day management.

CMap's customer base spans consulting and AEC businesses in the UK and US, with more than 45,000 users on its platform. By placing a chat interface over those records, the company aims to make operational data easier to access for managers and project teams that may not regularly use reporting tools.

Jon Stead, Chief Executive Officer at CMap, outlined the company's view of the problem facing professional services firms.

"The firms that are pulling ahead now aren't working harder, they're working with better data. Too many businesses which have been built on expertise are now being run on guesswork. Accessing the data and insights that could power your growth is being held back by information being stored in spreadsheets, emails and locked in the heads of a few senior people.

CMap Chat is the elite advisor every firm needs, but few can afford. It's always on, knows your entire operational history and gets smarter with every project you deliver. Natural language insights means it is the front door to all of your internal data. It is how your MD checks margins across the firm, how your PM spots a project going over budget before it's too late and how your ops lead checks utilisation rates across different offices," said Stead.

Broader trend

The introduction of chat-based tools inside sector-specific software reflects a wider shift in enterprise technology. Software providers are trying to make analytics and workflow systems easier to use by replacing fixed menus and report builders with natural language queries, while keeping access tied to internal permissions and business records.

For professional services firms, that matters because financial and delivery performance often depends on a mix of utilisation, pricing, scope control, billing discipline and project staffing. Information on those areas is often spread across separate systems or held by a small number of senior employees, which can slow decision-making.

CMap designed CMap Intelligence around simplicity, use within existing workflows and a focus on specific tasks rather than broad experimentation. In practice, that means helping teams move from asking a question to analysing performance and acting on the answer within the same environment.

The chat interface is intended as a single route into intelligence already embedded in the platform, rather than a separate application to manage. That approach may appeal to firms that want AI tools without adding another standalone product to an already crowded software stack.

Next steps

Later product updates will add deeper sector expertise, more pre-built reporting options, enhanced permissions and more actions that can be completed directly in the chat interface, including time-off and expenses processes, while retaining final user control. CMap also plans to add Model Context Protocol support so users can connect CMap data to large language models such as Claude, Gemini, ChatGPT and Perplexity.

For now, CMap is positioning CMap Chat as a practical layer over operational data for firms that want faster answers to everyday questions without relying on manual reporting. More than 45,000 users in consulting and AEC businesses already use the wider CMap platform across the UK and US.