The Access solution
Access AI orchestration layer for telecoms
A software layer that integrates on top of existing systems. It continuously analyzes the customer log (consumption, interactions, network signals, transactions, NPS), scores context and triggers dynamic workflows. Here are nine concrete use cases we deliver for mobile and fixed operators.
Workflow 01
Technical diagnosis that resolves in first line, not in fourth escalation
A customer calls support: their box has not worked since this morning. Before, the L1 agent asked ten questions, checked four systems, escalated to L2, who escalated to L3 if needed. Today, from the call, orchestration cross-references OSS (local outage identified 800m from their home), BSS (bill up to date, line active), ticket history (no prior), self-care (customer rebooted box twice). The agent immediately sees the diagnosis: local outage, intervention scheduled at 2 pm. They announce it, offer automatic flat-rate compensation, hang up in two minutes. The customer leaves reassured, not frustrated.
Technology
Real-time OSS / BSS / tickets / self-care cross-reference, diagnostic complexity scoring, resolution scenario suggestion, agent tool integration.
Customer impact
The customer hangs up in two minutes instead of twenty-five. They did not have to repeat their problem four times. They know when their connection will be restored. Sense of efficiency, not ordeal.
Business impact
Post-incident NPS rises. Customers in outage do not become detractors. Retention on incident-affected accounts measurably improves. Reduction in compensations negotiated under escalation.
Operations impact
L1 resolution rate rises strongly. Escalations to L2 and L3 drop. Per-agent processing capacity increases, with constant team. Support job mental load reduced.
Workflow 02
Subscription onboarding that says yes or no in minutes
A prospect signs up online for a mobile plan or internet box. They upload ID, bank account details, proof of address. Before, human queue for 24 to 72 hours to validate. Today, orchestration analyzes documents (OCR + consistency), validates KYC identity, checks network eligibility (fibre coverage at the address), scores creditworthiness. Response in minutes: line activated and SIM card shipped, or additional request with precise list, or motivated refusal. No more grey zone.
Technology
Advanced OCR, KYC identity verification, fibre address registry integration, creditworthiness scoring, HITL for borderline cases, auditable logging.
Customer impact
The customer perceives a responsive, clear operator. No opaque waiting. If refused, they know why and what they can do. Almost-instant conversion of intent to subscription.
Business impact
Digital path abandonment rate drops sharply. Each abandoned path is a lost customer, often to an MVNO or competitor. Direct recovery in revenue.
Operations impact
The activation department processes five to ten times more cases with the same team. Agents focus on real risk cases, not on triaging incoming flow.
Workflow 03
Predictive anti-churn that acts before cancellation
The analysis engine spots a bundle of signals: drop in data consumption, searches on the competitor site from the operator's wifi, unresolved complaint, recent commitment declaration. Rather than discovering cancellation three months later in figures, the operator detects it three weeks early. Workflow triggered: personalized call with full context, negotiated commercial gesture if justified, or simply attentive listening. Many cancellations are calls for help that were not heard.
Technology
Churn prediction model, multi-signal behavioral analysis, criticality scoring, retention path orchestration, HITL for commercial gestures.
Customer impact
The customer who stays feels truly heard. Not a routine end-of-month call, a call because we understood there was a problem. Recognition and trust restored.
Business impact
Churn rate drops measurably. For a telecom operator, keeping a customer costs three to five times less than acquiring a new one. Direct savings on CAC.
Operations impact
Sales and support teams learn to read signals. Beyond the workflow, a culture transforms: we no longer wait for the loss, we act. Systemic churn causes are identified.
Workflow 04
Plan personalization based on real usage, not on a static segment
A customer regularly exceeds their data plan for three months. They pay 4 to 8 euros out-of-plan per month. Orchestration detects the pattern and triggers: message in the self-care app proposing a higher plan that saves over six months, with personalized calculation visible. The customer accepts or refuses in two clicks. Conversely, a customer consuming far below their plan receives a proposal for a lower plan, no pressure. The bank would do the opposite — the honest telecom operator gains in trust and loyalty.
Technology
Real-time consumption analysis, baseline plan comparison, optimization opportunity scoring, multi-channel orchestration, HITL for atypical cases.
Customer impact
The customer sees the operator offering them the right plan, even if cheaper. Sense of commercial honesty rare in the sector. Trust and loyalty strengthened.
Business impact
Optimized ARPU: the customer pays the right plan, not a too-small with overage nor a too-large unused. Reduction of churn to low-cost MVNOs. Telecom NPS score lastingly improved.
Operations impact
Billing dispute management drops. Self-care teams handle fewer overage complaints. Shop salespeople freed for complex advice.
Workflow 05
Shop and call-center advisor equipped with a senior copilot
A customer enters a shop to change plans. Before, the salesperson searched in several tools: CRM, BSS, product portal, pricing simulator. Today, they query the AI copilot in natural language: customer profile (consumption, options, history), eligible plans, personalized comparison, compliance scripts. The salesperson responds in two minutes instead of ten. The customer leaves with the right plan. Same in the call-center: the agent immediately sees the full context and recommendation.
Technology
RAG on product catalog + procedures + compliance scripts, multi-system customer context aggregation, real-time copilot interface, multi-language.
Customer impact
The customer perceives an operator that knows them, not a counter that changes faces. Personalized advice, not generic script. Decision made with confidence.
Business impact
Conversion rate in shop and call-center rises. Upsell basket share grows because the salesperson has the right argument at the right time. Post-interaction NPS improves.
Operations impact
New salesperson onboarding goes from several weeks to a few days. Senior salesperson departure is no longer catastrophic. Constant service capacity despite sector turnover.
Workflow 06
AI editorial qualification with human validation — already delivered for a national operator
A national telecom operator produces massive editorial content: news, product articles, marketing posts, customer documentation. Each content must be semantically qualified (theme, tone, legal compliance, brand alignment) before publication. The volume makes human-only untenable, AI-only risky. The orchestration layer combines both: tagger rules, NLP models, continuous brand lexicon learning, human validation on uncertain cases via the HITL framework. Production maintained at scale, quality validated by editorial teams.
Technology
NLP, tagger rules, continuous learning models, RAG on editorial guidelines and compliance, HITL framework, auditable logging.
Customer impact
The reader receives relevant content, consistent with the brand, legally compliant. No contradictions or gaffes. Trust in the brand voice strengthened.
Business impact
Capacity to produce content at scale without quality drift. Editorial differentiation in a saturated sector. Systematic regulatory compliance (advertising, mandatory mentions).
Operations impact
The editorial team handles five to ten times more content with the same load. Writers focus on creation, not qualification. Proofreaders validate only uncertain cases.
Workflow 07
Mobile antenna deployment optimization through data analysis — already delivered
A telecom operator deploys or densifies its mobile antenna network. Before, location choices rest on theoretical coverage models. Today, data analysis aggregates real consumption per cell, observed saturation zones, geolocated user complaints, customer movements, competitor deployments. It proposes prioritized recommendations: where to densify, where to decongest, where to plan a new location. Network investment optimized by real usage, not assumptions.
Technology
Multi-source data analysis (consumption, complaints, geolocation), saturation prediction models, network planning tools integration, decision dashboards.
Customer impact
Coverage improves where the customer needs it, not on a theoretical map. Fewer weak signal zones, less saturation at peak hours. Perceived service quality rises.
Business impact
Network CAPEX investment optimized: priority on the right locations. Coverage complaints reduced. Network quality differentiation versus competitors deploying blindly.
Operations impact
Network engineering teams make decisions backed by data, not intuition. Budget arbitrations are faster and fairer. Reduction in deployment rework.
Workflow 08
Automated competitive intelligence for marketing — already delivered (EMEA telecom)
An EMEA telecom operator wants to continuously understand what competitors are doing: new plans, marketing campaigns, social communication, public customer feedback. Before, manual monthly intelligence, partial, quickly obsolete. Today, the data analysis platform extracts daily LinkedIn, Facebook, Instagram, X publications from competitors, normalizes, analyzes trends, identifies strategic pivots. Automatic reports to the marketing committee. Multiplied commercial responsiveness.
Technology
Social APIs and public source extraction, normalization and cleaning, sentiment analysis, Power BI dashboards or data warehouse export, platform and GDPR compliance.
Customer impact
Indirect: the operator reacts faster to market pivots, offers better-positioned offers, does not let competitors carve out a lasting advantage.
Business impact
The marketing department continuously arbitrates its strategy on fresh data. Counter-offers are published in days, not weeks. Market share preserved.
Operations impact
The marketing intelligence team frees itself from repetitive manual work. They focus on strategic interpretation, not collection. Analysis capacity multiplied with constant team.
Workflow 09
SIM swap fraud and abuse detection before they harm the customer
A customer requests a SIM card change (legitimate: loss, theft, upgrade). Orchestration cross-references signals: request geolocation, customer's usual behavior, recent patterns (app searches, calls to a new number), known SIM swap attack history. If suspicious signals (request from another country, absence of consistent history, pattern close to known attacks), investigation workflow: additional validation request to the customer via secure channel, fraud alert, human escalation. Fraud is stopped before the customer is robbed via SIM swap.
Technology
Real-time anomaly detection, multi-system cross-reference (CRM, app, geolocation), HITL framework for critical cases, anti-fraud unit integration.
Customer impact
The customer is protected against impersonation. Their trust in the telecom operator is strengthened. No traumatic experience of discovering an emptied account via suffered SIM swap.
Business impact
Reduction in fraud indemnifications. Reduction in post-serious-incident departures. Reputation preserved on a topic that can severely harm the brand.
Operations impact
The anti-fraud team handles only suspected cases, not the entire flow. Agents focus on complex investigations. Continuous learning: each thwarted attack feeds the model.