What will you build with Atlas?

Build a business case for your product using a prospect’s current costs, team size, and expected improvements. Calculate projected savings, ROI, and payback, then give buyers a shareable report for internal review.

Agents use customer conversations and account context to understand what each buyer needs, then match those needs to the right products and configurations across a complex catalog. They generate quotes and coordinate pricing and approvals, keeping the deal moving through each stage.

Calculate commissions across complex compensation plans using sales data, quotas, and each plan’s payout rules. Give finance a consolidated view of payouts and each seller access to their own earnings, with the calculation behind each amount.

Bring customer conversations, support tickets, product feedback, and usage together with CRM data to show the health of each account. Agents surface signs of churn risk, explain what has changed, and alert the right owner with the context to act.

Turn event and inbound leads into complete CRM records, removing duplicates and adding company and contact context. Agents route each lead by territory and account fit, draft a relevant outreach message, and set reminders for follow-up.

Read customer contracts to identify purchased products, usage allowances, pricing terms, and renewal dates. Agents compare those terms with actual consumption, flag overages, and prepare true-up adjustments for account teams and finance to review.

Let business users check orders, invoices, and approvals in SAP through plain-language requests. Agents retrieve the relevant records, explain errors and how to resolve them, and route access requests through existing approval processes.

Match supplier invoices against purchase orders to check line items, quantities, and amounts. Agents explain discrepancies and route exceptions to finance with the records needed to resolve them.

Agents track purchase orders from creation through delivery, coordinate supplier communication, and keep stakeholders informed. They identify delays and exceptions, recommend next steps, and coordinate resolution with suppliers and internal teams.

Agents analyze sensor readings, maintenance history, and operating data to identify equipment at risk of failure. They estimate when maintenance is needed and prepare prioritized work orders with recommended actions and the parts technicians will need.

Agents handle employee service requests in ServiceNow, from checking details and routing approvals to provisioning resources and tracking completion. They resolve routine issues such as password resets, keep employees informed, and flag requests that need attention from support teams.

Security teams use apps and agents to run phishing simulations, deliver targeted training, and track AI use across the organization. They manage security policy exceptions with an audit trail and prepare customer and vendor questionnaire responses using approved answers.

Forecast product demand using historical sales, including what customers buy from you and what they sell to end consumers. Planning teams use a shared forecast to agree on expected demand and guide purchasing and inventory decisions.

Analyze spending across suppliers, categories, and locations to identify duplicate invoices, off-contract purchases, and opportunities to consolidate suppliers. Agents recommend when to buy raw materials based on changing costs and market conditions. Purchasing restrictions carry through to SAP when new requests are created.

See which features customers adopt, how often they use them, and how usage changes over time. Teams can compare accounts and customer groups, explore trends, and ask follow-up questions in plain language.

An agent continuously monitors product usage to distinguish sustained declines from normal seasonal changes. It alerts account teams with details of which features are being used less, how long the decline has lasted, and which customer contacts have become inactive.

Model how feature launches, pricing changes, and hardware refresh cycles could affect subscription revenue using product usage, revenue, and past launch data. Adjust prices, launch dates, and customer segments to compare forecasts under different assumptions.