EPISODE · Feb 12, 2026 · 17 MIN
From Tasks To Workflows
from The Digital Transformation Playbook · host Kieran Gilmurray
A customer writes that the billing portal keeps failing and their renewal expires tomorrow. Most bots would slap a “billing” label on it and ship it to finance. We take you inside a smarter approach that reads between the lines, gathers context, and acts to protect the relationship and the revenue at stake.TLDR / AT a Glance:limits of single-step classification in customer supportturning oracle-style answers into multi-step reasoningapplying the React loop to triage and escalationtermination rules to prevent overthinkingarchitecture shift from static LLM calls to workflow enginetool chaining across CRM, queues, calendars, and commsgraceful degradation and rollback on failuresbusiness impact on CSAT, retention, and scalabilitystrategic insights from patterns and customer health signalscompounding value across functions and future automationWe break down how a Reason-Act-Observe loop turns a one-shot classifier into an adaptive triage agent. First, the agent forms a hypothesis, then queries CRM for account history, renewal dates, and plan value. It checks queue backlogs, identifies a senior specialist, and commits to a four-hour resolution with proactive communication. Along the way, it applies clear stop rules for confidence, time constraints, and diminishing returns, and it fails gracefully by escalating when systems are unavailable. Rather than fire-and-forget, it confirms handoffs, schedules follow-ups, and maintains state so decisions are auditable and improvable.From there, we zoom out to the architecture that makes this real: tool chaining across CRM, ticketing, status pages, calendars, and messaging; data validation to prevent cascade failures; parallel calls to cut latency; and rollback strategies for partial errors. We share the tangible gains teams see: faster onboarding for new staff through encoded institutional knowledge, higher CSAT from smarter prioritisation, and scalable operations that handle volume spikes without linear hiring. The agent becomes a strategic sensor, surfacing product issues, at-risk accounts, and market signals that shape roadmap and staffing.If you’re ready to move beyond labels and queues to outcomes and retention, this walkthrough delivers the blueprint for intelligent triage and the playbook to extend it across your customer journey. Like some free book chapters? Then go here How to build an agent - Kieran GilmurrayWant to buy the complete book? Then go to Amazon or Audible today.Support the showIf you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect. 🌎 Website: www.KieranGilmurray.com📅 Book a call: https://calendly.com/kierangilmurray/catch-up📘 Kieran Gilmurray | LinkedIn🌐 Substack: https://kierangilmurray.substack.com📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK AI Transparency Notice: This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.
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A customer writes that the billing portal keeps failing and their renewal expires tomorrow. Most bots would slap a “billing” label on it and ship it to finance. We take you inside a smarter approach that reads between the lines, gathers context, and acts to protect the relationship and the revenue at stake. TLDR / AT a Glance: limits of single-step classification in customer supportturning oracle-style answers into multi-step reasoningapplying the React loop to triage and escalationterminatio...
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From Tasks To Workflows
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