Building your first production-grade agentic workflow
A field-tested blueprint for shipping your first agentic AI workflow into production — the same one we use with Fortune 500 clients. Covers intent boundaries, tool design, memory, guardrails, human-in-the-loop patterns and evaluation harnesses so your first agent survives real users, real data and real audits.
Contact center modernization: from IVR to conversational AI
A step-by-step migration model for retiring legacy IVR and moving to conversational AI without breaking CX. Covers platform selection, data readiness, integrations, agent experience, QA and cutover — proven across NICE, Genesys, Amazon Connect, Kore.ai and Five9 estates.
The FinOps playbook for LLM + CCaaS spend
How to control LLM and CCaaS spend before it controls you. Token analytics, model routing, license rightsizing, telephony minute optimization and a board-level cost dashboard you can copy directly.
AI for Employee Experience: The Enterprise Delivery Playbook
A delivery playbook for enterprise leaders rolling out AI for Employee Experience. Covers how to start with IT and HR service-desk beachheads, unify identity and knowledge, choose the right platform stack, govern employee data, and scale to a fleet of employee-facing agents without adding headcount.
Employee AI Agents: From First Pilot to Enterprise-Scale Fleet
A field-tested playbook for scaling employee AI agents beyond the IT and HR pilot. Covers agent family design, multi-agent orchestration, memory and context boundaries, safety controls, cost-per-resolution governance and the operating rhythm that lets a CIO and CHRO co-own a fleet of 20+ agents.
The Agentic Process Automation Playbook: Replacing Legacy RPA
A migration playbook for enterprises moving from brittle, screen-scraping RPA to agentic AI that reads documents, handles exceptions, makes judgment calls and integrates with existing systems. Includes a retire-vs-replace decision tree, governance controls and the ROI case for finance and operations leaders.
AI Business Automation Delivery Playbook: From Back Office to Customer Edge
The delivery playbook pronix.ai uses with CIOs and COOs to run AI business automation programs end-to-end. Covers process discovery and prioritization, agent design, platform selection, integration patterns, governance, change management and the production rollout rhythm that turns automation ambition into measurable outcomes.
Use cases, ROI models and platform selectors.
Ungated tools you can use right now — filterable use cases, defensible ROI calculators and short assessments. No email required.
Use Case Library
30+ real enterprise use cases across AI, CX and automation — filterable by service, industry and partner platform.
Browse use cases →Contact Center AI ROI
Model containment, AHT reduction and agent cost savings for voice AI, agent assist and automated QA.
Estimate savings →AI Business Automation ROI
Estimate hours and dollars returned from intelligent automation across document processing, rework and transaction workflows.
Model automation ROI →All Tools & Assessments
AI readiness assessments, CCaaS platform selectors and every calculator in one place.
Explore all tools →Explore the rest of the library
- Benchmark reportsIndustry benchmarks & data
- GuidesPillar guides by domain
- Reference architecturesBlueprints for engineers
- InsightsPoint-of-view essays
- Case studiesEnterprise outcomes
- Platform comparisonsSide-by-side buyer guides
- DownloadsBrochure & capabilities deck
- BPO · AI · CX · CCaaS HubIndustry hub for BPO leaders
Want the playbook applied to your program?
Book a working session with a pronix.ai strategy lead.