NineTwoThree designs and deploys Agentforce agents on your Salesforce data, inside existing Sales and Service Cloud workflows. Each agent runs defined sales and service processes from CRM records, respecting your existing profiles and permissions.
Build agents that run defined sales and service processes from CRM records. Each agent is designed around a specific workflow, such as follow-up automation, case deflection, or revenue operations reporting.
Automate follow-ups, case deflection, and revenue ops tasks that currently require manual CRM work. Agents update records, send sequences, and flag exceptions for human review inside the Salesforce interface your team already uses.
Agents respect existing Salesforce profiles and permissions. Users and agents access only the records authorized for their roles, preserving the controls already applied to sales and service data.
Coordinate Agentforce with your broader AI stack, including external models and tools. Agents hand off between systems when a task crosses platform boundaries, so complex workflows stay connected.
NineTwoThree has delivered more than 150 AI projects.
Reported success rate across NineTwoThree's AI project portfolio.
Measured projects that returned positive ROI.

Agents draft follow-up emails, update opportunity stages, and flag deals that have been idle past their expected close date. Sales reps get a prioritized list of actions instead of manually reviewing every open deal.
Common support questions get answered directly from Salesforce knowledge articles and case history. Complex cases escalate to service agents with full context attached, reducing repetitive ticket volume.
Build dashboards that show pipeline health, win rate, and stage-by-stage conversion. Agents flag anomalies in deal velocity and forecast accuracy, so revops teams can address issues before they affect the quarter.
Build a new platform, or add AI capabilities to existing software, we deliver solutions that work in real operational environments.
Meet with founders Andrew Amann & Pavel Kirillov

Custom AI implementation roadmap
No sales pressure