Customer Experience · AI · Advisory

We've run the companies
building CX AI.
Now we help you
decide what works.

Independent advisory from executives who held the CEO, CTO, and CRO roles at Genesys, Avaya, Cisco, and Servion. No products to sell. No vendor on retainer.

Founding advisors
LP
Laurent Philonenko
CEO · Genesys GM/CTO · Cisco Collaboration SVP/CTO · Avaya CEO · Servion 3 exits as an advisor First CX AI launch · 2018
KH
Karl Holzthum
President & CRO · CX Cloud (×2 exits) Worldwide Partners & Alliances · Genesys $500M+ channel revenue

Technology Lifecycle Advisory

We work on both sides of the CX AI equation — with enterprises making technology decisions, and startups finding the right path to market.

01 — Enterprise

AI Technology Evaluation

Independent assessment of CX AI vendors and platforms. We pressure-test vendor claims against production reality — no financial incentive to steer you toward any particular solution.

02 — Enterprise

Deployment Advisory

We stay with you through the full lifecycle — not just the purchase. From use case selection through month-six production reality, we help you avoid the failure patterns we've seen repeat across the industry.

03 — Startup

Go-to-Market Strategy

We open the enterprise doors that take years to find alone. Channel strategy, alliance relationships, and the commercial playbook for selling differentiated CX technology to large organizations.

04 — Startup

Technology Vetting

We evaluate emerging CX AI solutions for capability and business sustainability — connecting vetted startups with the enterprise buyers who matter.

What we see in the field

Two years into the agentic AI rush, we've reviewed deployments across banking, telecom, retail and healthcare. The hype has changed. The failure patterns haven't.

higher escalation rate when a GenAI agent handles the first touch without a clean handoff path
8 mo
median time before an "AI-first" CX program quietly reverts to human-led for high-value journeys
1 in 5
enterprises can name the metric their CX AI was supposed to move
01

You deployed an agent. You skipped the operating model.

The model went live in weeks. The processes, escalation rules, and QA loop around it never changed — so the agent is fast, confident, and unaccountable.

02

"Agentic" became a procurement checkbox.

Every vendor now ships an "autonomous agent." Almost none can tell you what it's allowed to decide, what it escalates, or who owns the outcome when it's wrong.

03

The demo speaks one language. Your customers speak forty.

Vendor demos run on clean intent and one dialect. Production is code-switching, accents, rage-typing, and three acquisitions' worth of legacy data the model never saw.

04

Month eight is the real launch.

Quarter one looks great — novelty, executive attention, a fresh model. By month eight the champion has moved on, the model has drifted, and nobody owns retraining.

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If you're expanding your CX AI this year,
let's talk before you commit.

We work with a select group of enterprises and startups at a time.

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