AnswersEnterprise AI platforms
In short
Choose an enterprise AI agent platform on what its agents can actually do in production: connect to your systems in place, act on a live model of your business, use every frontier and open-weight model, run under governance you control, and reach production quickly with engineers who build alongside you. Then check where it runs, how it is priced and whether what you build stays yours.
| Criterion | Question to ask | Fig |
|---|---|---|
| Connections | Can agents read and act in our ERP, CRM and tools, with permissions intact? | 1,000+ tools through native connectors, MCP and computer use. |
| Context | Do agents work from a model of how our business runs? | A live digital twin of records, rules and decisions. |
| Models | Can we use every lab's models and open-weight models? | Every frontier lab and open-weight models, routed per task. |
| Governance | Approvals, roles, audit trail, off switch? | SSO, SCIM, scoped roles, approval gates, full audit trail. |
| Delivery | Who gets the first agent into production, and how fast? | Fig's engineers, starting with a pilot in production in weeks. |
| Deployment | Can it run in our own cloud? | Your cloud account or Fig's. |
| Pricing | Seats or usage? | Usage-based, no per-seat licenses. |
Demos run on clean data. Ask each vendor to run one of your workflows on your systems, with your permissions and your exceptions, and score it on outcomes you already track. The gap between a demo and production is where most platforms fall short.
Ask who owns the model of the business, the instructions, the evaluations and any trained models, and whether you can export them. Those are the assets that grow in value as the platform runs.
The one that runs your real workflows in production, on your systems, under your controls, with every model available. Fig's CosmOS is built for that, with engineers who put the first workflow into production in weeks.
Both. People should reach agents where they already work, and the platform should also deliver dedicated apps for specific roles.
Run the same workflow on your own data with each, and score outcomes, cost and time to production.
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