For Chief AI Officers running an agentic portfolio.
Reference architectures, evaluation harnesses, governance patterns and org-model advice for Chief AI Officers building a production-grade agentic capability inside the enterprise.
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.
The agentic BPO reset — what the 2026 Maturity Benchmark says the winners actually did
Every US BPO now has an 'AI story'. The 2026 Enterprise BPO Agentic AI Maturity Benchmark — scoring 22 providers across delivery, governance, workforce and commercial dimensions — says a much smaller number have an agentic delivery model. This is what the benchmark data actually shows, and what enterprise buyers should read out of it before writing their next RFP.
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.
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.
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.
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.
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.