Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Where Claude Cowork and the Claude ecosystem are heading in 2026 — standing workflows, oversight at scale, multi-agent coordination — and how to prepare now.
Where Agent Skills, MCP, and multi-agent systems on Claude are heading in 2026 and beyond, and the low-regret ways to prepare your stack now.
Where self-service analytics with Claude is heading: proactive agents, multi-agent investigation, richer MCP ecosystems, and how to prepare your stack now.
Deloitte found 84% report positive AI ROI. The brokerage process to measure first, four baseline numbers to count before you start, and the weekly scoreboard.
The metrics that prove Claude Cowork is working — cycle time, blind quality sampling, and rework rate — and the vanity usage stats that quietly mislead teams.
The metrics and signals that prove Claude Code agents and Skills work: eval sets, intervention rate, cost per outcome, and tracking the failure tail.
The metrics that prove Claude self-service analytics works: eval pass rate, live accuracy, deflection, time-to-insight, and the trust signals that predict survival.
The outcome metrics, leading signals, and anti-metrics that show whether running engineering on Claude agents pays off — beyond lines of code and prompt counts.
A concrete end-to-end Claude Code build: from a messy webhook-triage chore to a shipped, verified agentic workflow with an MCP-scoped tool and human gate.
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