From Manual Clicks to Conversational Commands: 5 Ways Atoll AI Agent Accelerates RAN Planning

Every RF engineer knows the feeling: a task that should take minutes ends up consuming hours of navigating menus, configuring parameters, running calculations, and compiling results. With Atoll AI Agent, Forsk is changing this equation entirely. Here are five concrete ways the Atoll AI Agent accelerates day-to-day RAN planning and optimisation workflows.

New Site Evaluation, In Seconds, Not Hours

The old way: Open the project, find the site coordinates, manually place transmitters, configure sectors, set up the prediction study, run calculations, and wait.

With Atoll AI Agent: Type one sentence.

In the current Atoll project, drop a 5G NR station (3 sectors) on SiteXX and create the SS-RSRP prediction for this site only.

The agent places the site, configures the sectors, sets up the prediction, and runs it. The engineer reviews the result — not the process.

This is particularly valuable during rapid network rollout phases, where dozens of candidate sites may need to be evaluated in quick succession.

Coverage Generation: Automated End-to-End

Coverage predictions are a core Atoll task, but they involve multiple sequential steps: creating the study, configuring parameters, running calculations, and verifying results. Each step is an opportunity for error or inconsistency.

Atoll AI Agent handles the entire sequence from a single prompt:

Calculate 5G NR PDSCH CINR coverage for the current project.

The agent checks the predictions folder, creates the correct study type runs pathloss and prediction calculations, polls for completion, and confirms the result is visible on the map. Consistent, every time.

Database Queries: No SQL Required

Atoll's underlying database is rich with network data, but querying it directly has traditionally required either navigating the GUI or knowing the exact table structure. Atoll AI Agent removes both barriers.

Give the list of 5G NR cells and their PCI values.

The agent identifies the correct table, executes the query, filters the results, and presents a clean, sorted table.

Network Audits: Comprehensive and Exportable

Network audits are essential for maintaining data quality, but they are notoriously time-consuming. An engineer must manually check parameter consistency, looking for anomalies, missing values, and configuration errors.

With Atoll AI Agent:

Audit all cell parameters in the active Atoll document and flag any anomalies, missing values, or inconsistencies. Export the results as a structured report.

The agent systematically reviews the network data, identifies issues, and produces a structured, exportable report. A task that might have taken a full day now takes minutes.

Coverage Reporting: Publish-Ready in One Prompt

Once predictions are generated, communicating results to stakeholders is another time sink. Formatting statistics, creating visual summaries, and producing shareable artefacts are all tasks that fall outside the core engineering work but consume significant time.

Create an HTML artefact with SS-RSRP SiteXX prediction statistics.

Atoll AI Agent extracts the relevant statistics and generates a formatted, publish-ready HTML report — ready to share with project managers, clients, or colleagues without any additional formatting effort.

The Bigger Picture: Elevating Engineering Work

Across all five use cases, a common theme emerges: Atoll AI Agent eliminates the mechanical, repetitive aspects of RAN planning so that engineers can focus on the decisions that actually require their expertise — interpreting results, making trade-offs, and optimizing network performance.

For organizations managing large-scale network rollouts or lean planning teams, this translates directly into faster project delivery, reduced operational costs, and higher-quality outputs.