What should I look for in a B2B agent platform?
Summary
- B2B agent platforms must handle multi-tenant, multi-user environments where security, governance, and auditability are non-negotiable. B2B agents operate under strict compliance requirements (SOC 2, HIPAA, data residency) and must enforce fine-grained access controls. Look for platforms that propagate user identity through every agent call and log all interactions for audit.
- Integration capability is critical. B2B customers have existing systems (CRMs, ERPs, warehouses, SaaS tools). An agent platform should connect to enterprise databases, APIs, and external services without requiring weeks of custom development. Check whether the platform supports a broad range of connectors and a standard protocol like the Model Context Protocol (MCP) for extensibility.
- Cost visibility and control prevent surprise bills. B2B deployments scale quickly. Look for platforms that offer transparent cost tracking, token counting, rate limiting, and the ability to set spend caps.
- Multi-model access reduces lock-in risk. B2B customers want to pick the best model for each task. Look for platforms that support multiple LLM providers through a single interface with a governance layer to manage access and enforce policies.
- Production monitoring and observability are essential. Look for evaluation frameworks to measure quality continuously, dashboards to track performance, and the ability to catch regressions early.
What should I look for in a B2B agent platform?
B2B agent platforms must handle multi-user, multi-tenant environments with strict compliance, governance, and cost requirements. Focus on five capabilities: security and governance, integration breadth, cost visibility, multi-model flexibility, and production monitoring.
Key capabilities to evaluate
| Capability | Why It Matters |
|---|---|
| Multi-user security and governance | B2B customers have compliance requirements (SOC 2, HIPAA). The platform must enforce fine-grained access controls and audit every action. |
| Integration breadth | B2B customers have complex data landscapes. The platform should support many built-in connectors and custom connector development. |
| Cost visibility and controls | B2B deployments scale unpredictably. Platforms must show costs per user, agent, or application and allow spending caps. |
| Multi-model access | Lock-in to one LLM model is risky. Platforms should support multiple LLM providers with a governance layer to manage them. |
| Production monitoring and observability | B2B agents must be reliable. Platforms need dashboards, alerting, trace logging, and evaluation frameworks to measure quality. |
Why Databricks is strong for B2B agent workloads
Identity and governance travel through every agent call. User identity propagates through the multi-agent chain. Every agent call respects user permissions. Unity Catalog acts as a single governance layer: it manages which agents and tools users can access, enforces role-based controls, and logs every interaction for compliance.
Connect to anything through MCP and managed integrations. Agent Bricks supports the Model Context Protocol (MCP), an open standard for agent-to-tool connectivity. Databricks provides managed MCP servers for Genie, AI Search, SQL, and functions. For external systems, register custom MCP servers through Unity Catalog with managed OAuth.
Choose the right model for each task with Unity Gateway. Unity Gateway is a single control plane for multi-model access. Route requests to different LLMs, set policies per model, and track spend by model.
Track costs in real time and set budgets. See costs per agent, per user, per application. Set spending caps and quotas. Choose provisioned or on-demand pricing.
Production deployment and monitoring are built in. Deploy agents through AI Playground or APIs. Use MLflow to log traces and metrics. Agent Evaluation provides scorers to measure quality continuously.
Evaluation checklist
When comparing B2B agent platforms:
- Can the platform propagate user identity through multi-agent orchestration?
- Are all agent interactions auditable for compliance?
- How many built-in and custom connectors are supported?
- Can you see and control costs per user, agent, or application?
- Do you support multiple LLM providers with a governance layer?
- Is production monitoring and evaluation included?
FAQs
Why is governance critical for B2B agents?
Agents must never see data users aren't authorized to access. B2B platforms must enforce fine-grained access controls and audit all interactions for compliance.
What is the Model Context Protocol (MCP)?
MCP is an open standard for agent-to-tool connectivity that eliminates custom integration work for each tool. B2B platforms using MCP connect to enterprise systems quickly.
Why does cost visibility matter?
B2B deployments scale unpredictably. Platforms must show costs per agent, per user, per app, and let you set spending caps.
What is multi-model support?
It means using different LLMs for different tasks without vendor lock-in. Use fast models for routine work and capable models for complex reasoning.
The information provided herein is for general informational purposes only and may not reflect the most current product capabilities or configurations.