Your AI for field sales

At Checkmob, each AI sales agent has a specific purpose and is activated by the manager or salesperson with a single click within the platform. The agent reads the data the team already records in the field (visit history, checklists, audio recordings, notes) and provides a ready-made analysis — this could be a customer relationship diagnosis, a suggested approach for an upcoming visit, an executive checklist summary, or customer data enrichment. Most agents operate on user command. The Automatic Portfolio Monitoring Agent is the exception: it runs at a configured frequency and sends the report via email.

Traditional AI agents for sales were developed for inside sales operations — writing follow-up emails, qualifying inbound leads, scheduling meetings, and updating CRM. They operate within the digital funnel, where all interactions occur through channels like WhatsApp, email, and websites.

AI agents for field sales, like Checkmob's, were built for a different scenario: the salesperson is in the field, sales happen in person, and the manager is in the office and needs visibility into the operations happening out in the field. These agents read the data the team generates in the field — visits, checklists, audio recordings — and provide analyses on customer relationships, visit preparation, portfolio status, and structuring checklists for engagement.

In external sales operations, AI agents transform data collected in the field into actionable decisions. Key uses include:
• Customer Relationship Analysis: The agent reads an account's entire history (visits, audio recordings, checklists) and delivers an impartial diagnosis in seconds.
• Portfolio Monitoring: Automatically tracks the status of strategic clients and sends email reports.
• Visit Preparation: Provides the salesperson, before each visit, with context and suggestions about the client they are about to meet.
• Record Enrichment: Supplements basic records with industry, size, and profile information — especially useful for prospecting.
• Complex Checklist Analysis: Reads dozens or hundreds of field responses and delivers an executive summary.
• Checklist Creation: Structures a field data collection routine from a simple description.

Yes, especially for sales operations with large client bases, consultative sales cycles, and distributed field teams. AI for field sales reduces the time spent on manual client portfolio analysis, eliminates reliance on a salesperson's 'gut feeling' to understand client health, and standardizes team preparation. Operations that use AI agents for field sales save the equivalent of almost a full day of work per week on tasks that previously consumed hours — such as manual history review, spreadsheet cross-referencing, and digging for information client by client.

No. AI agents for field sales work alongside the team, not in place of it. The agent's role is to prepare analyses, contexts, and summaries from the data the team already generates in the field, freeing up managers and salespeople to focus on what AI doesn't do: build relationships, conduct negotiations, and close deals.

The implementation takes place within the Checkmob platform. Most agents come with pre-configured prompts that can be customized by the manager to adapt to different operational contexts — by client type, by checklist type, or by sales cycle stage. Sales representatives consult the agents directly in the app, in the field, before each visit.

Checkmob is an offline-first field platform — sales representatives collect data, record visits, and complete checklists without an internet connection, and everything syncs automatically when the signal returns. AI agents process this data on the platform as soon as it becomes available. The agent itself requires a connection to operate, but the data it consumes is collected in the field without internet dependency.