For CIOs standing up the enterprise AI operating model.
The AI operating model, platform choices, vendor risk and the seam between contact center, data and AI — curated for CIOs of Fortune 500 enterprises moving from AI pilots to production portfolios.
Long-form thinking for your role
Why the market doesn't believe BPO AI yet — the TTEC vs. TaskUs signal
Two years into the copilot era, the equity market has done what analyst decks won't: separated BPO AI narratives from BPO AI outcomes. TTEC's margin compression and dividend suspension, TaskUs's $16.50/share take-private at a multi-year low, and the widening EBITDA-vs-multiple gap across the sector all say the same thing — copilots didn't move the P&L. This is the case for treating agentic delivery as an operating-model decision, not a productivity story.
Buy-vs-build in the age of foundation models
The old buy-vs-build math assumed software was expensive to build and cheap to buy. Foundation models flipped both sides. Here is the framework we take into every architecture review — and the three questions that decide it every time.
CCaaS vendors are becoming BPOs — what NICE, Salesforce and Agentforce mean for buyers
The category boundary between CCaaS platforms, BPOs and system integrators is dissolving in front of enterprise buyers. NICE's Accenture alliance, Salesforce's TTEC partnership, Agentforce's three pricing models in 18 months, and the Capgemini acquisition of WNS are the four signals that matter — and they change how a 2026 RFP has to be written to avoid getting boxed in for a decade.
Data-Cloud-first CX
The center of gravity in enterprise CX is moving from the CCaaS to the customer data cloud. Agentic AI accelerates that shift — and it changes who owns the roadmap, who signs off on platform selection and where the next generation of CX budget lands.
What we've shipped for peers
Cutting claim-triage cycle time by 62% at a top-5 US health insurer
A top-5 US health insurer was drowning in claim-triage backlog during open enrollment. pronix.ai designed and shipped an agentic triage workflow that took cycle time from 11 minutes to under 4, tripled throughput, and stayed inside healthcare and CMS auditability guardrails throughout.
90-day cutover from legacy IVR to Amazon Connect at a national retailer
A national specialty retailer had 90 days to get off a decade-old Avaya IVR before their peak holiday window — and wanted agent assist live on day one. pronix.ai ran the cutover on Amazon Connect with Amazon Q for agent assist, held CSAT flat through peak, and cut AHT by 28%.
Cutting LLM spend 41% at a Fortune 100 insurer
A Fortune 100 insurer had 40+ AI workloads across Azure and Bedrock with no unified cost view, no routing controls and a spend curve that was going to cross eight figures inside 18 months. pronix.ai stood up an LLM FinOps program that cut spend 41% with no measurable quality regression.
46% member-services deflection for a Medicare Advantage payer — CMS-safe agentic AI
A regional Medicare Advantage payer was buckling under AEP call volume for benefits, PCP changes, ID cards and prior-auth status. pronix.ai deployed Salesforce Agentforce on Health Cloud with Amazon Connect voice and CMS-safe guardrails — 46% deflection and CSAT flat through AEP.
71% self-service on NDAs and vendor reviews — enterprise legal intake with copilot workflows
A Fortune 500 legal team was drowning in NDA, vendor review and privacy DSAR intake tickets. pronix.ai deployed Microsoft Copilot Studio in Teams with SharePoint-grounded playbooks and ServiceNow Legal case creation — 71% of requests handled without a lawyer touching them.
43% advisor productivity gain at a global wealth manager — RAG copilot for client meetings
A global wealth manager's advisors spent hours prepping every client meeting across research, holdings and suitability. pronix.ai shipped a RAG copilot grounded on sanctioned research and CRM — 43% prep-time gain, faster suitability reviews and full SEC 17a-4 archival.
72 minutes returned per clinician per day at an academic medical center — ambient AI scribe
Clinician documentation was the top-cited driver of burnout at an academic medical center. pronix.ai rolled out an ambient AI scribe integrated with Epic across 2,400 clinicians — 72 minutes returned per clinician per day and a 38% drop in reported burnout scores in six months.
47% faster denial resolution at a multi-hospital system — RCM workqueue automation
A multi-hospital health system had $34M in denied and underpaid claims stuck in manual workqueues, with an average 23-day resolution cycle. pronix.ai deployed an agentic RCM workqueue that classified denials, drafted appeals, gathered evidence and tracked status — cutting resolution time by 47% and recovering $11M in the first year.
72% straight-through prior authorizations at an 11-hospital system — agentic RCM
An 11-hospital IDN was losing scheduled procedures to prior-auth delays and paying overtime to clear a growing backlog. pronix.ai deployed a multi-agent prior-auth system that read the order, pulled clinical evidence, matched payer policy and submitted through Availity or payer portals — 72% of authorizations completed straight-through with turnaround compressed from six days to under 24 hours.
34% underwriting cycle-time reduction at a commercial insurer — agentic submissions triage
A top-15 commercial insurer's underwriters spent 60% of their day sorting broker submissions instead of pricing risk. pronix.ai deployed an agentic submissions triage workflow with appetite-fit scoring — cycle time down 34%, underwriter throughput up 2.1x and every decision traceable to a broker-visible reason.
Assess, model and shortlist
BPO AI, CX & CCaaS ROI Assessment
Interactive ROI assessment for enterprise BPOs. Model containment, AHT, AI QA and shore-mix impact on margin — with a saved business case linked to a recommended implementation playbook.
AI Readiness Assessment
A 6-minute self-scored assessment across strategy, data, platform, talent, governance and FinOps. Delivers a maturity band and a prioritized next-quarter action list.
CCaaS Platform Selector
Answer 8 questions on CRM alignment, region, regulated-industry constraints and incumbent contracts. Get a scored two-vendor shortlist across Amazon Connect, Genesys, NICE, Five9, Salesforce Agentforce, Google CCAI and Dynamics 365.
Start-here reading
The enterprise guide to Agentic AI
Copilots demo well; agents change the P&L. This guide is the enterprise reference for what Agentic AI actually is, where it belongs in the operating model, and how CIOs, COOs and Chief AI Officers are moving programs from pilot to portfolio.
Agentic AI for Financial Services — A Practical Guide for Banks, Insurers and Wealth Managers
A practical guide to deploying agentic AI in regulated financial services. Covers KYC refresh, fraud triage, compliant collections, servicing and underwriting agents — with the governance, model-risk and audit patterns that keep examiners comfortable.
Agentic AI for Healthcare Providers — A Practical Guide for Hospitals, Health Systems and Physician Groups
A practical guide to deploying agentic AI across provider operations. Covers scheduling and access agents, prior authorization automation, revenue cycle and denials, ambient clinical documentation, and patient contact center — with HIPAA, HITRUST and safety governance patterns.
Agentic AI for Healthcare Payers — A Practical Guide for Health Plans and Managed Care Organizations
A practical guide to deploying agentic AI inside health plans and managed care organizations. Covers member services, claims, appeals & grievances, provider ops and utilization management — with the HIPAA, CMS interoperability and NAIC governance patterns that regulators and auditors expect.
Agentic AI for BPO Providers — A Practical Guide for Contact Center and Back-Office Outsourcers
A practical guide to agentic AI for contact center and back-office BPOs. Covers portfolio strategy, gain-share commercial models, agent-assist and autonomous voice, back-office IDP, QA and coaching — with the client-security, multi-tenant governance and delivery patterns BPOs need to protect and grow revenue.
Agentic AI for Retail & E-Commerce — A Practical Guide for Brands, Marketplaces and Omnichannel Retailers
A practical guide to agentic AI for retail and e-commerce. Covers conversational shopping, service and returns, merchandising and content operations, marketplace and seller ops, and store & associate assist — with brand-safety, margin and privacy governance patterns.
Agentic AI for Insurance — A Practical Guide for P&C, Life and Specialty Carriers
A practical guide to deploying agentic AI across P&C, life and specialty insurance. Covers underwriting assist, FNOL and claims, policy servicing, distribution and producer ops, and fraud & SIU — with NAIC AI model guidance, state DOI and model-risk governance patterns.
Call center automation software: how to evaluate the stack
Every vendor in this category claims the same outcomes, so the demo is useless as a selection instrument. This guide breaks the stack into five layers, gives the scoring criteria that actually separate vendors, and covers the cost lines buyers routinely miss.
AI transformation consulting: the enterprise buyer's guide
Most enterprises are two years into AI spend and still cannot name a workload that changed a P&L line. That is rarely a technology failure. It is a sequencing, ownership and governance failure — which is precisely what AI transformation consulting is supposed to fix. This guide sets out what to buy, in what order, and how to hold an advisor to an outcome rather than a deck.
AI readiness assessment: the framework that predicts delivery
Most readiness assessments produce a radar chart and no decisions. A useful one predicts which workloads you can actually ship in the next two quarters, and names the specific remediation standing in the way of the rest.
Generative AI consulting: from proof of concept to production
The proof of concept is the cheapest part of generative AI and the part every vendor is happy to sell. This guide covers the expensive part: selecting workloads that survive contact with real data, and the production gates between a convincing demo and a system your risk function will approve.
AI governance framework: controls that let you ship faster
Governance is usually sold as the thing that slows AI down. Built correctly it does the opposite: it is the pre-agreed set of controls that lets a workload move to production without a bespoke argument every time. This is the framework we implement.
AI center of excellence: how to build one that ships
An AI center of excellence either compounds delivery capability across the enterprise or becomes the queue everything waits in. The difference is decided by three design choices made in the first ninety days.
CCaaS modernization for enterprise leaders
Modernizing a contact center estate is not a platform swap — it is a change program. This guide covers legacy replacement, platform selection, agent experience, the AI overlay and the multi-region cutover that keeps CSAT green.
The AI operating model for enterprise scale
Pilots are cheap; portfolios are hard. This guide is how top-quartile enterprises structure the CoE, product squads, platform team and safety function that turns AI from a series of demos into a compounding capability.
Get a briefing curated to your role and program.
We run 60-minute sessions with executive teams on the priorities above — leaving you with a shortlist, a business case or a roadmap you can defend.