Chatbots talk.
Agents work.
European telecoms tried CX platforms, Copilot Studio, and internal builds. What worked: business teams deploying agents that complete entire customer workflows autonomously.
Trusted by world leading enterprises
Results from telecom AI deployments.
~$6M+
Yearly revenue from one agent
50%
Conversion improvement
90%
Autonomous resolution rate
<4 wk
Time to production
40%
Support volume freed
100%
POC-to-contract conversion
95+
Languages supported natively
4,000+
Integrations
Why telecom AI projects fail.
Most telecom operators we talk to have tried at least one of these. Neither solved the whole workflow.
PATH A
Buy a telecom AI platform
CX chatbot platforms, telco AI vendors
CX platforms and telco vendors were all built before agentic AI. Fundamentally different technology, and incumbents haven't mastered it.
AI agents also need deep, company-specific customization. What works for one operator won't work for yours.
One chatbot offered a customer 90% off. No business logic guardrails.
Off the shelf. Off the mark.
PATH B
Build it in-house
Hyperscaler platforms, agencies, in-house engineering
AI agents solve business problems, not IT problems. But building in-house makes it an IT project. Business teams lose ownership of the logic, the workflows, the iterations. Fundamental mismatch.
AI also moves faster than enterprise development cycles. One team spent 6 months on Copilot Studio. Scope narrowed from 'autonomous onboarding' to 'answers three questions.'
By the time IT ships, the technology has already moved on.
Built by IT. Obsolete on delivery. Owned by the wrong team.
Customers still churning at 15-25% annually. EU AI Act deadline August 2026. Buy gives you speed without depth. Build gives you depth without speed. Neither completed the workflow.
What's working for telecom operators.
Orange Group
Multi-billion euro telco, 120,000+ FTE
$6M+
Yearly revenue
50%
Conversion improvement
$6M+
Yearly revenue
50%
Conversion improvement
90%
Autonomous resolution
27% drop-out rate on their previous chatbot. Digital Sales deployed an autonomous agent in 4 hours. Rolled out across European markets in 4 weeks. Business team built it. Business team owns it.
“I can enhance the agent or test new use cases directly, which allows us to respond quickly to business needs and continuously refine the experience.”
Tom Guisgand, Senior Customer Journey Designer, Orange
AI agents across telecom operations.
26 proven agentic AI patterns across 6 functions. Validated by telecom operators deploying Nexus agents over the past 18 months.
Ad-hoc business analysis
What it delivers
Answers to any business question, with supporting data and context.
Connected to customer, billing, transaction, CRM, and operational data. Understands your business structure — markets, segments, products, channels. Answers in seconds what an analyst takes days to produce.
Management reporting decks
What it delivers
Complete slide decks and QBR materials generated on demand.
Pulls from live revenue, churn, ARPU, NPS, and operational KPIs. Produces ready-to-present deliverables with charts, tables, and narrative — adapted for board, regional QBR, or investor audiences.
Financial and operational modeling
What it delivers
Excel models, scenario analysis, and forecasts from live data.
Builds complete workbooks with assumptions, sensitivity analysis, and summary outputs. Pricing scenarios, churn impact modeling, revenue forecasts by segment, capacity planning — updated when data changes.
Nexus vs. telecom AI alternatives.
Nexus
CX Chatbots
Sprinklr, Genesys, NICE
Hyperscaler Build
Copilot Studio, Azure
10% technology. 90% change management.
Every engagement starts with a 3-month POC tied to measurable outcomes. No multi-year commitment upfront.
FORWARD DEPLOYED ENGINEERS
Not consultants. Engineers who ship.
Engineers embedded with your team. They know telco workflows and legacy systems. They find the high-impact use case, handle integration, and run the pilot.
CHANGE MANAGEMENT
Adoption drives ROI. We drive adoption.
Deployment without adoption is shelfware. We align teams around outcomes, build confidence through small wins, and scale when results prove out.
ONGOING OPTIMIZATION
Agents learn. Impact compounds.
Every interaction makes your agents sharper. We analyze patterns, surface new use cases, and scale to new markets as results prove out.
Every client who started a POC with Nexus converted to an annual contract. 100%.
4,000+ integrations with telecom systems. Zero vendor lock-in.
Questions telecom operators ask.
Conversation is 10% of the problem. The work behind it still requires humans. And without business logic guardrails, there’s real risk. One telecom operator’s chatbot offered a customer 90% off. Orange replaced their CX chatbot and saw 50% conversion improvement.
A European telecom operator spent 6 months and couldn’t deliver. Nexus deployed a dozen agents in the same timeframe. Business teams build directly.
Orange deployed across multiple European countries in 4 weeks. The agent supports 95+ languages natively.
Every decision traceable. Full audit trails. SOC 2, ISO 27001, ISO 42001, GDPR. Deadline is August 2, 2026.
A European telecom operator handles millions through Nexus agents. 40% support freed. Full compliance maintained.
Orange generates ~$6M+ in yearly revenue from one agent. Annual telecom churn runs 15-25%, and acquiring a new customer costs 5-25x retaining one. Worth exploring the math on a specific workflow?