AI transformation for software and SaaS companies
Software
Native puts AI agents into support, sales operations, finance and engineering at software companies, with one shared measure of the impact.
Where AI has an impact in software companies
Support triage
Tickets classified, answered from the docs where possible and routed with a summary when not.
Sales credit and territory inquiries
Questions about who gets credit for a deal picked up from the CRM and the rules, with a first response in an hour rather than twelve.
Manager coaching
An assistant in Slack that helps managers prepare for meetings, onboard hires and find policy.
Workflow governance
Every automation scanned for security and compliance issues before it reaches production.
- AI code review
- Finance operations
- Customer onboarding
- Product feedback
Native helps software and SaaS companies put AI into production across support, sales operations, finance and engineering, with forward-deployed engineers inside each team. At Avalara, that meant 150+ deployments across 8 departments in under six months. A first deployment in one team usually lands within weeks.
Case study · Avalara
Avalara put AI into production across 8 departments in under six months.
Native helped Avalara move from scattered AI experiments to a repeatable way of deploying them, with forward-deployed engineers in every department, one shared measure of value, and 150+ deployments across the business.
Frequently asked questions
How are SaaS companies using AI internally?
Across every department: support triage, sales operations, finance, engineering and manager enablement. The companies that get the most impact run it as one program with one measure, rather than as separate team experiments.
What does an AI transformation partner do for a software company?
An AI transformation partner sets up the operating model for getting AI into production, then builds the agents with each team. At Native, forward-deployed engineers work inside each department and stay accountable for delivery.
How do you measure the ROI of AI at a software company?
Pick one measure and use it everywhere. At Avalara every initiative was scored in hours saved per year, which made support, sales and engineering work comparable and set the order of work.
How do you govern hundreds of AI workflows?
Scan them before they ship. At Avalara a workflow risk scanner covered all 720 workflows and found issues in 84% of them before they reached production.
How fast can a software company get AI into production?
The first deployment in one department usually lands within weeks. Avalara reached 150+ deployments across 8 departments in under six months.
