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The Problems With Agentic Commerce
Agentic commerce has huge potential, but most early attempts create noise, riskand extra cost instead of measurable results. The core issues aren’t the models themselves, but how goals, guardrails and operations are (not) designed around them
- Vague goals and “AI theatre” Agents launch without clear targets for conversion, AOV or cost, so pilots add complexity without moving the numbers
- Unreliable agents and weak CX control Hallucinations and edge‑case failures quietly damage discovery, checkout and returns, while uncoordinated agents clash on tone and policy
- Risk, compliance and operational drag Account‑changing agents widen fraud and chargeback risk, and fragile, un‑orchestrated integrations create brittle automations and rising AI costs
TCTG tackles Agentic Commerce with a practical, low‑risk approach: we start with a focused readiness assessment, then design and deliver a tightly scoped MVP pilot on one or two high‑value journeys, wiring Agentforce into your SFCC, data and service stack with the right guardrails, governance and observability. From there, we orchestrate and scalewhat works—always against clear KPIs for conversion, AOV, CSAT and cost‑to‑serve so you get measurable value from agents, not AI theatre
