At Futurism AI, we build custom AI solutions for telecom that fix real problems high operating costs, complex networks, flat revenues and churn. From network optimization and predictive maintenance to AI contact centers and fraud prevention, we help telcos grow with confidence.
Built for MNOs, ISPs, fiber and satellite providers
AI for network, operations, security and customer experience
Measurable impact on Opex, NPS and ARPU, aligned with industry trends where telcos seek cost control, growth beyond core connectivity and safer AI adoption.
Years of Experience
AI Experts
Client Retention Rate
AI Projects Delivered Across Industries
Secure and Responsible AI Practices
AI tunes RAN power states during off-peak hours while keeping SLA, reducing energy usage.
Computer vision and signal analytics pinpoint fiber breaks, automated workflows dispatch the right technician with the right part. MWC showcases emphasize fiber root-cause automation.
An AI copilot summarizes calls, suggests fixes and fills CRM notes, shorter AHT, better FCR, happier agents.
Models spot churn risk (poor coverage, billing friction) and trigger timely offers or service credits to retain subscribers, key to improving profitability in flat-growth markets.
Predictive maintenance plus AI scheduling reduces truck rolls and repeat visits, automation at scale is a recognized cost lever.
Detect SIM swap and international revenue share fraud patterns in real time, align with stronger trust expectations.
We deliver AI solutions for telecom industry that plug into your OSS/BSS, RAN, core, CX stack and security tooling with clear KPIs.
Problem: High network energy spends; frequent urban congestion.
Solution: AI-driven RAN optimization and traffic steering, agentic policy loops with human-in-the-loop controls.
Impact (9 months): 14% energy savings in dense clusters, 11% drop in congestion alarms; MTTR down 28%. These results align with reported operator priorities around autonomous assurance and energy optimization.
Problem: Long outage diagnosis times, rising churn in competitive markets.
Solution: Fiber root-cause AI and proactive customer comms, agent copilots for support.
Impact (6 months): AHT down 22%; FCR up 18%; churn down 9%. Such improvements mirror MWC case patterns for AI troubleshooting and AICC.
Problem: Fraud and SOC overload.
Solution: LLM-assisted SOC triage + fraud scoring across BSS/OSS events.
Impact (4 months): 37% faster investigation; 21% fewer false positives; improved auditability aligned with EY’s call for stronger responsible AI and cyber posture.
Predictive maintenance, automated assurance, energy savings.
AI contact centers, agent copilots, real-time personalization.
Root-cause localization, guided workflows and self-healing actions.
Enterprise 5G/edge, network slicing analytics, platform services.
AI-enhanced threat detection with responsible AI governance.
Data, models and automation designed to scale with future standards reflecting operator focus on shaping profitable 6G.
It means applying machine learning and automation to your network (fault detection, optimization), support (agent copilots, chatbots) and security (threat detection). It reduces manual effort, speeds up fixes and improves customer experience, echoing industry priorities around automation and CX uplift.
We use model governance, risk assessments, audits and human-in-the-loop controls. This aligns with guidance that telcos must strengthen AI trust, privacy and cyber posture.
Yes. We optimize network slicing, automate assurance for enterprise SLAs and deliver analytics for premium services while building data and automation foundations that scale toward 6G. This meets the market’s push to find growth beyond core connectivity and shape profitable networks.
No. AI acts like a copilot, handling repetitive tasks and surfacing insights so your engineers, agents and analysts can focus on higher-value work an approach operator are taking as they embed intelligence into operations.
We connect via APIs, event streams and secure data pipelines. Our platform is tool agnostic and supports hybrid/on-prem for compliance important as telcos move to cloud native yet sovereign setups.
We implement data minimization, encryption, access controls and regional hosting when needed. This aligns with the industry’s emphasis on trust and sovereign infrastructure.
Yes. We integrate LLM copilots and bots with existing IVR/CRM/CCaaS tools. MWC demonstrations confirm the practicality of enhancing existing stacks with AI.
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