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x101
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Enterprise AI, in production.

x101 runs inside some of the most demanding environments there are. Eleven deployments across telecom networks, enterprise IT and the workforce functions behind them. Customer identities are withheld by request.

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Telecom & network operations

Fault management, change, observability and self-healing across carrier and mobile networks.

Telecom · Tier-1 operator, India

A national mobile network's fault management

Around 12.5 million alarms a day were buried under static correlation rules and manual root-cause work. x101 compresses them into unique actionable incidents, explains each root cause with its citations, and drafts the operator-grade reason for outage, entirely inside the operator's own data centre.

  • 27,000 network devices, one governed operations centre

    Telecom · Tier-1 operator, India

    Fault and performance data from more than twenty-seven thousand routers and switches arrived over three separate collection paths, uncorrelated. x101 unified them into one near-real-time layer where faults are investigated with evidence and approved procedures run under governance.

    • 43%Lower MTTR, measured
    • 85%Routine ops automated
    • 27,000+Devices in one view
    Read the case study: 27,000 network devices, one governed operations centre

  • The loop that never skips a step

    Telecom · Tier-1 operator, North America

    Seven network data domains, each telling a different story, and nothing closing the loop behind a fix. x101 discovers problems from symptoms, diagnoses them through trees built from the operator's own knowledge, remediates under governance, and refuses to close until the numbers say fixed.

    • ~60%Faults resolved end to end
    • ~50%Faster root cause
    • 100%Fixes carry provenance
    Read the case study: The loop that never skips a step

  • Network change management, simulation-led

    Telecom · Tier-1 operator, India

    Thousands of change requests a month, each assessed by checklist and expert memory. x101 drafts the vendor-aware method of procedure, scores failure probability and blast radius before the approval board sees it, executes inside policy limits, and rolls back automatically when a check fails.

    • ~30%Faster change cycle
    • ~20%Higher first-time-right
    • 100%Risk-scored before approval
    Read the case study: Network change management, simulation-led

  • A server estate seen down to the sensor

    Telecom · Tier-1 operator, North America

    Thousands of servers with no central view, and a hardware layer that was invisible because every management controller was an island. x101 unified server telemetry with hardware sensor data and moved the operation from reacting to alerts to acting ahead of them.

    • ~70%Caught before impact
    • ~40%Faster resolution
    • 100%Hardware centralised
    Read the case study: A server estate seen down to the sensor

Enterprise IT & DevOps

Day-2 server operations, release automation and orchestration across multi-vendor estates.

Enterprise · Tier-1, North America

Day-2 operations at node scale, governed end to end

Mass patching did not exist as a repeatable operation: engineers walked servers by hand or ran scripts nobody governed. x101 runs health checks, log analysis and patching as approved procedures across 2,000+ live nodes, each prechecked, postchecked and verified after every apply.

  • Hundreds of builds a day, governed by an agent

    DevSecOps · Release automation

    An x101 agent fronts the whole release process: email intake, a four-stage approval chain it manages itself, pipelines triggered and watched step by step, exact-fix feedback emailed to developers, and pull requests raised with its review attached.

    • 100sDaily build iterations
    • 2 → 20+Engineers to environments
    • 4Stage approval chain
    Read the case study: Hundreds of builds a day, governed by an agent

  • One orchestrator above every provider's agents

    Consumer goods · Europe

    Operations ran across multiple managed-services providers, each with agent systems of its own. Delivered with a Big Four partner, x101 sat above all of them, coordinating agent to agent to determine root cause, drive resolution and generate the postmortem.

    • A2AProvider agents coordinated
    • OwnAgents built by the customer
    • AutoPostmortems generated
    Read the case study: One orchestrator above every provider's agents

Workforce & HR

Payroll, employee services and leave, answered from policy and completed in the systems of record.

Finance & HR · Multi-country

Payroll reconciled before it pays

Every close began with days of manual reconciliation across four systems, and the errors that mattered were found afterwards. x101 reads time, leave, benefits and contract data together ahead of each run, and answers an employee's pay question from the governing policy.

  • The HR service desk that answers itself

    HR & Workforce

    Most of what the team handled was repetitive: the same policy questions, the same record changes, the same onboarding checklist. x101 answers from the governing policy, completes the update in the system of record, and carries a joiner across every team involved.

    • ~75%Self-served
    • ~50%Faster to productive
    • 100%Answers cited
    Read the case study: The HR service desk that answers itself

  • Leave, handled from a single sentence

    HR & Workforce

    Entitlement varied by country, contract and tenure, balances lived in one system while coverage lived in another, and approvals ran on reminders. x101 takes the request in one sentence, checks coverage, routes the approval and updates every system that needs to know.

    • ~80%Fully automated
    • MinutesTo confirmed outcome
    • ~55%Faster approvals
    Read the case study: Leave, handled from a single sentence

See what this looks like on your systems.

Tell us the work you want to change. We come with pricing, a rollout plan for your stack, and a solutions engineer who has done it before.

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