Accenture acquires advanced AI solution from Avanseus to speed autonomous network adoption
NEW YORK and SINGAPORE; Feb. 24, 2026 - Accenture has acquired an advanced AI solution from cloud-native product company Avanseus to strengthen its cognitive network platform.
The technology brings proven models for prediction, anomaly detection and optimization across complex network operations. It enhances Accenture's ability to scale AI/ML for network planning, engineering and optimization-helping telecom operators improve financial performance and increase service agility.
What's in the deal
The Avanseus solution coordinates decisions across planning, optimization and operations, turning operational complexity into an advantage. Its unified AI/ML architecture supports faster release cycles and shorter time-to-market.
Built for seamless integration with hyperscaler agentic AI platforms, it becomes a core building block for agent-based capabilities within Accenture's cognitive network platform. For operators, that means quicker deployment of autonomous functions without re-architecting the stack.
Why it matters to communications providers
Rising network infrastructure operating costs demand smarter automation and predictive control. Avanseus' models-forecasting, anomaly detection and optimization-directly address those needs at carrier scale.
As networks grow more dynamic, closing the loop from detection to action becomes essential. This acquisition accelerates that shift with ready-to-deploy components and the integration muscle to run them across hyperscalers.
"Autonomous networks empower telcos to move beyond reactive operations, proactively fueling growth by providing the agility and efficiency needed to thrive in a challenging market," said Tejas Rao, Global Network Practice Lead, Communications, Media and High Tech Industry at Accenture. "Our integration of the Avanseus solution will allow us to rapidly develop and deploy cutting-edge agentic AI solutions, significantly accelerating our clients' journey to truly autonomous network operations and bringing innovative solutions to market with unprecedented speed."
Bhargab Mitra, CEO of Avanseus, said: "Accenture's acquisition of our AI solution marks an important next chapter for the technology we have built. It ensures global reach and the resources required to drive the next phase of autonomous network innovation."
The terms of the transaction were not disclosed.
What IT, engineering, operations, and comms teams can move on now
- Fault prediction and anomaly triage: reduce MTTR with AI-assisted root cause analysis and automated ticket enrichment.
- Capacity and energy optimization: forecast demand, right-size resources, and cut power costs while meeting SLAs.
- Closed-loop automation: detect, decide, and execute policy changes across RAN, transport, and core with guardrails.
- Service rollout: use agent workflows to validate designs, simulate impact and accelerate change approvals.
- Financial impact tracking: tie model outputs to cost-to-serve, churn risk and revenue-at-risk to justify scaling.
- Communications readiness: align reliability and customer-experience narratives to support launches and incident comms.
Implementation checklist
- Map critical KPIs (availability, latency, throughput, energy) and attach business targets to each.
- Audit data readiness: telemetry coverage, data quality, lineage and access policies across network domains.
- Prioritize high-leverage domains for a first wave (e.g., RAN anomaly detection, transport congestion avoidance).
- Stand up MLOps: model registry, CI/CD for models, drift monitoring, bias checks and rollback playbooks.
- Integrate with hyperscaler services for agent workflows, observability and policy enforcement.
- Run controlled pilots with clear exit criteria, then scale by domain with shared feature stores and governance.
Context and further reading
For a broader industry view on autonomous networks maturity, see the TM Forum's Autonomous Networks resources.
If you're building these capabilities in-house, our AI Learning Path for Network Engineers and AI for IT & Development resources can help teams move from pilots to production.
Forward-looking statements
Except for historical information, statements in this article may be forward-looking and involve risks and uncertainties that could cause actual results to differ materially. No obligation is assumed to update these statements.
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