AI ServiceOps For Modern Enterprises

Massive AI gains. Zero cost creep.

Service and operations management built for the AI era. Xurrent’s Sera AI is foundational across ITSM, incident management, and status pages, so every team moves faster without an unpredictable, costly line item for AI.

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Trusted by enterprises and MSPs running real AI in production

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91%

of customers running AI in production today

>90%

virtual agent accuracy

in token pools, session fees, or AI add-on SKUs

However You Work With AI

One platform. Three ways to put AI to work.

The AI era isn’t arriving on a single date for every organization. Xurrent meets you where you are, whether your team is just starting, working inside the interface they already know, or already running agentic workflows in production.

Embedded

AI you can trust, already accelerating productivity

Sera AI is already running quietly across hundreds of organizations. At Axsos, it now classifies and routes 60% of email-based requests automatically and has automated 50% of all service desk tasks. That is what a year of AI in production looks like. Auto-classification, intelligent routing, summarization, sentiment analysis, knowledge distillation, all working today.

AI handling the grunt work

Assistive

A familiar experience that moves you forward

Sera AI Assist brings AI directly into the user experience your team already knows. The interface they’re comfortable with doesn’t go away. It gets smarter. From assist to act, all within a single ticket. Summaries and suggestions when specialists want a second opinion. Natural-language prompts when they want to dig deeper. When the work is routine, autonomous agents pick it up first and hand off to specialists only when human judgment is needed.

Suggesting and acting, in a single ticket

Agentic

Open, connected, ready for what’s next

The MCP Server opens Xurrent to your broader AI ecosystem. Bring your preferred LLMs, custom agents, and automation frameworks, and let them work alongside Sera with full guardrails and governance. When you’re ready, hand off entire workflows to autonomous agents that act, log, and explain themselves at every step.

Bring your own agents and LLMs

The Xurrent Platform

Service and operations, unified. AI, foundational.

Xurrent replaces fragmented tools with a single service fabric. ITSM, incident management, and status pages move through one workflow, with Sera AI built into every layer.

Foundationally AI

AI is included at every tier. No premium unlocks, no token pools, no metered conversations. The 91% adoption rate is not an accident. It is what happens when you remove the financial barriers to using AI.

Sera AI Studio for tuning, testing, and validating your virtual agent

Virtual agent with greater than 90% accuracy in production

AI noise reduction across IMR alerts, in production now

One service platform

One platform for ITSM, incident management, and status pages. AI does not just summarize a ticket. It correlates an incident with a change, updates the status page, and keeps every stakeholder on the same truth.

Single service fabric across IT, DevOps, and the business

Synchronized accountability from alert to resolution to communication

Reduced TCO by consolidating multiple legacy tools

Open and agentic

Beyond chatbots. AI agents become members of your service teams, taking the first pass on intake, closure, and knowledge work autonomously. The MCP Server opens the platform to your AI ecosystem with guardrails and governance that keep data safe.

Agent Skills for ITSM and IMR turn hours of manual work into seconds of AI action

MCP Server for open interoperability with external LLMs and agents

Sera AI Assist with free-form natural language inside the request, plus deep platform queries via GraphQL

Secure and sovereign

Your data stays your data. Built on AWS Bedrock with strict isolation, your interactions are private and your information is never used to train models. Layered security, ready for the most regulated environments.

SOC 2 Type II, ISO 27001/27018, and C5 attestation

Bring Your Own Key (BYOK) for full data sovereignty

AI confined to your tenant, never cross-tenant or shared

Less queue, more impact

Intelligence where the work already happens.

Sera AI does not replace the user interface with a daunting chat prompt. It embeds intelligence into the workflow your team already trusts, so adoption happens naturally.

From assistant to agent.

Sera reads incoming requests, classifies them, surfaces the right knowledge, and suggests the next step. When you need more, ask. When you need work done, dispatch an Agent.

Auto-classification and routing

Auto-classification routes inbound requests to the right team automatically, with customers like Axsos handling 60% of email volume without human triage

Knowledge that creates itself

Sera drafts knowledge articles from resolved tickets, capturing institutional memory without overhead

AI agents that take the first pass

Triage, closure, and knowledge agents work alongside specialists, taking on duplicate detection, CI linking, customer-facing verification notes, and KB drafting, with every action logged and specialist override always available

Free-form chat for specialists

Ask Sera in natural language to dig deeper, draft a response, or query the platform directly

Resolutions in minutes, not hours

Faster resolutions, without leaving the ticket.

Service desk specialists shouldn’t have to choose between a familiar interface and modern AI. Sera AI Assist brings intelligence directly into the request your team is already working in. It reads the issue, distills the relevant knowledge into notes, and suggests the next step. When you need more, ask in natural language.

Contextual from the first click

Sera AI Assist is already there when a specialist opens a request, summarizing the issue and surfacing the right knowledge article without a single search.

Knowledge distilled into notes

Sera reads long-form articles and pulls the relevant steps directly into the ticket, so specialists work from the answer, not from the index.

Ask anything in natural language

Specialists can prompt Sera to dig deeper, draft a customer reply, or query the platform directly without switching tools or leaving the ticket.

Goes deeper than standard tooling allows

Beyond the standard MCP tools, Sera AI Assist can write GraphQL queries against the Xurrent platform, so anything documented in the developer API is accessible right inside the request. Ask, and the data comes to you.

Recommended actions, one click away

Recommended actions appear inline as the specialist opens the request, based on context. One click to apply. Built for teams who want a guided ramp into AI rather than a blank chat box on day one.

faster time to resolution

80%

fewer misrouted tickets

30 mins

saved per agent, every shift, at a minimum

Beyond chat, into action

AI that does the grunt work, so your team can do the hard work.

AI agents are added to your service teams and work alongside specialists, not on top of them. Each agent has a defined set of skills and triggers, fires automatically when the work calls for it, and hands off to a human the moment judgment is required. Every action is logged. Specialist override always wins.

ITSM Agent Skills

Triage Agent

Acts on every request the moment it’s been routed to a team. Detects duplicates, links related CIs, gates incomplete tickets back to the requester for missing detail, and assesses impact. Specialists pick up requests that are already triaged and ready to work.

Closure Agent

Closes the loop on resolved requests without specialist effort. Drafts customer-facing verification notes, detects when a requester replies suggesting the issue isn’t fixed, auto-closes after the verification window, and surfaces resolved requests sitting too long.

Knowledge Agent

Turns every resolved request into institutional memory. Drafts knowledge articles from resolution threads, flags stale or contradicted articles, and identifies articles never retrieved so phrasing can match how requesters actually ask. Knowledge Managers review every draft. Nothing auto-publishes.

IMR Agent Skills

Alert noise reduction

AI filters, deduplicates, and prioritizes alerts so responders only see what’s actionable. Less noise, faster response, lower stress.

Postmortem authoring

Sera assembles the timeline, pulls in linked changes and ITSM context, and drafts the postmortem so engineers spend their time on lessons learned, not document assembly.

Status page automation

Incidents, scheduled changes, and resolution updates flow into the right Status Page automatically, keeping every stakeholder on the same truth without a manual touch.

Bring your own agents through MCP Server.

Open interoperability with external LLMs and AI agents. Your preferred models, your custom agents, your automation frameworks, all backed by Xurrent guardrails and governance.

Learn more about MCP server

Scale AI, confidently

The control room for your AI.

Sera AI Studio is where customers tune Sera for their environment, before users ever interact with it. Customize how Sera responds, validate it against your own scenarios, and find the gaps in your knowledge and templates that stop AI from doing its best work. Trust earned through testing, not promised.

Tune Sera to your business.

Test it against your scenarios. Ship it with confidence.

Studio gives every customer a 10,000-character instruction file that shapes how Sera behaves: industry context, tone of voice, organizational SOPs, the things that make your environment yours. It’s how you go from a generic AI to one that talks like your team.

Custom instructions

A 10,000-character instruction file you own. Tell Sera who you are, how you talk, and what’s specific to your business. Saved with built-in guardrails that prevent unsafe instructions from going live.

Golden set testing

Define up to 150 of your most common request scenarios with the answers you expect. Studio scores how closely Sera’s responses match. Find weaknesses before your users find them.

Template readiness

Studio scores each of your request templates against the criteria a virtual agent needs to succeed. Where templates fall short, you get specific recommendations on what to improve. Templates that score well power better AI outcomes.

Knowledge readiness

Surfaces gaps in your knowledge base, flags articles that aren’t being retrieved, and identifies topics where requesters are asking questions you don’t have answers for. Closing those gaps directly improves AI response quality.

The AI tax stops here

Other vendors gate AI behind tiers, tokens, and surprise overages.

When AI is metered, teams self-censor. They use it less than they should, route around it to avoid charges, and limit who gets access. That is the opposite of transformation. With Xurrent, AI is included because it makes the platform better for every user.

91%

adoption is not an accident. It is the math.

Remove the financial gate and AI gets used. Use it and the outcomes follow. That is why our customers are running AI in production today, not waiting on a roadmap promise from a legacy vendor or a pitch deck from a startup that launched last month.

You should not need a procurement approval to let your team use the modern features of your platform.

NO TOKEN POOLS

Conversations don’t deplete a credit balance.

NO TIER GATES

AI is in the platform, not behind a 2X cost uplift.

NO RENEWAL SURPRISES

Predictable cost, full AI access.

DIMENSION

HOW OTHERS LICENSE AI

Pricing model

Premium tier upgrades, per-session charges, per-event metering, or token pools with overage fees

AI included at every tier. No metering. No overage math. No add-on SKUs.

Adoption pattern

Teams self-censor and limit access to control costs. AI becomes a luxury feature instead of a daily tool.

91% of Xurrent customers run AI in production. Use is unconstrained because cost is.

Agentic AI skills

Often a separate paid SKU. Virtual agents, copilots, and AIOps frequently sold as discrete add-ons.

Sera AI Assist, Virtual Agent, and AI Agents are all part of the platform.

Time to value

Six-month implementations. Custom scripting. Heavy professional services.

Configuration over customization. Live in as little as 4 weeks.

Architecture

AI bolted onto a 20-year-old data model. Chat windows on legacy.

Service fabric purpose-built for the AI era, with MCP Server openness and governance.

Built for the people running modern operations

A platform that answers to three different groups.

The CxO needs predictable economics. The service desk needs adoption that does not require change management. The SRE needs reliability and openness. Xurrent answers to all three.

For CxOs and IT directors

Scale your operation without scaling your budget.

Stop paying an AI tax for every conversation or session. Get an enterprise-grade service fabric with built-in AI that customers actually use, and consolidate vendors as you go.

For service desk leaders

Move from ticket-taking to service-leading.

Free your team from routine noise. With greater than 90% virtual agent accuracy and autonomous Agent Skills, Xurrent resolves routine work without manual touch. Launch in 4 weeks.

For SRE and engineering

Reliability tooling that speaks your language.

Xurrent IMR gives engineering teams AI-assisted detection, coordinated response workflows, automated postmortems, and ChatOps integration. Sub-350ms response times, MCP Server openness, and ITSM context where you need it.

Proven outcomes

Customer results, not roadmap promises.

40%

projected cost savings on service management over five years vs. legacy ServiceNow

4,300

hours saved annually through automation, with more than 50% of tasks fully automated

50%

cost saving by replacing six years of ServiceNow progress with a 90-day Xurrent rollout

65%

drop in incident management tool spend, with 35% less alert fatigue for engineers

5,000

storefronts supported with 93% CSAT, replacing a homegrown system used across all retail operations

60%

of email-based requests automatically classified and routed by Sera AI

80K

daily service calls managed across 16,000 technicians and 10 countries on the unified ITxM stack

3 weeks

to complete core implementation, with 60% of services live from day one