Latitude guides multi-client AI agent fleet management

The biggest bottleneck for AI consultancies is no longer writing agent prompts—it is surviving the operational chaos of multi-client production monitoring and proving ongoing ROI. Traditional APM logging floods engineers with noisy traces, making signal aggregation essential to bridge the gap between infrastructure errors and actual user-facing agent failures. Leveraging MCP as an operational interface enables coding agents to audit fleet telemetry directly, automate plain-language client reports, and convert production edge cases into regression tests without manual dashboard-hopping. Furthermore, pairing free deterministic checks with sampled LLM evaluations provides broad observability coverage without eroding inference margins.