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Company  ·  About Us

Bringing industry expertise to enterprise automation.

Founded in 2018, Xect AI develops software that connects operational data, business workflows, and AI-assisted decisions. We work with business and technology teams to apply automation to defined operational priorities, with clear responsibilities for implementation and oversight.

Founded in 2018Mission: enterprise-wide automationBuilt by industry SMEs, not just engineers

Why we built Xect AI

Automation projects often stall in the handoff between the business team that defines the priority and the technology team that implements it. Xect AI closes that gap: a business user describes the automation they need in plain language, and Xect AI builds it in coordination with the technology team responsible for the systems involved. On the SaaS platform, Xect AI hosts and runs the result, with no infrastructure for the customer to provision.

No infrastructure to provision on the SaaS platform, no deployment pipeline to manage
Business users describe the automation in plain language; Xect AI builds it with the technology team responsible for the systems involved
Decades of industry SME experience built into every schema and metric
Xect AI · Company timelineLive
Milestones
2018 · Founded
Started closing the gap between a business idea and a running automation
Done
Request to running system
Business users describe what they need; Xect AI's agents build it with the technology team responsible, then host and run it
Live
Compliance certification underway
SOC 2, ISO 27001, GDPR and HIPAA: Xect AI operates in compliance today, with formal certification underway
In process
Who built this

Built by industry SMEs, not just engineers

Every industry schema in Xect AI came from a practitioner who ran that operation, not from a language model's training data. Decades of combined field experience, encoded as the schemas and foundational metrics agents reason with directly.

Our forward deployment leaders are industry veterans who've run these operations themselves. Our engineering team built infrastructure at other technology companies before joining Xect.

70–90%
reduction in cost to build per use case
~90%
fewer clarifications per agent build
6
industry verticals with native schema support
30
days to first deployment
Xect AI · SME Contributors
RP
Dr. Rachel P.
Former VP Clinical Operations · 22 yrs Healthcare
"Mapped the full prior-auth decision tree and all HIPAA-adjacent attachment rules into the graph. Agents now reason about them natively."
MK
Marcus K.
Ex-Verizon OSS Architect · 18 yrs Telecom
"Encoded the full service order lifecycle, SLA breach taxonomy and NOC escalation paths — things that typically take months to teach a new system."
SL
Sophia L.
Former Head of Claims · 16 yrs Insurance
"Every FNOL schema variant, state-specific compliance rule and adjudication flow is in there. An agent that knows insurance is a different class of product."
How we work

Principles that shape every release

Defined decision rights

Every agent action is scoped by policy. When a decision needs judgment, the workflow pauses and hands the operator full context, not a raw alert.

Traceable execution

Agent runs are traced end to end and logged to a per-node execution history. Recovery depends on the specific workflow: that record shows what happened, and where a rollback path exists, it can be used to reverse the action.

Measured value

We publish the number, not the adjective: ~8s playbook execution, 0 LLM calls on repeat runs, 82% faster mean time to resolution measured across verified playbook runs. If we can't define how a number was measured, we don't publish it.

Integration with existing systems

Xect AI reads and writes to the systems you already run through 200+ connectors and MCP. No rip-and-replace, no migration project required to start.

By the numbers

What the platform runs on today

The architecture behind every solution and every industry page on this site, in the numbers that back it.

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Events ingested
Every operational signal arrives on one Avro-typed event stream, schema-validated on arrival.
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Faster mean time to resolve
Verified playbooks remediate the pattern the moment it's confirmed, not after a ticket queues.
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Connectors & MCP servers
Register any system once; every agent and flow can call it after.
“
We didn't set out to build another automation tool. We set out to close the gap between a business user's idea and a running automation, with clear coordination between the teams responsible for it.
Xect AI Founding team
Human in the loop by designEvery agent run traced end to endCompliant today, certification in process
Contact us

Discuss your business priorities

Share the process you want to improve, the systems involved, and any evaluation requirements. We will route your inquiry to the appropriate team. A person on the Xect AI team reads every message and replies within one business day.

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How can we help?

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See what Xect AI can run on your data

Book a 30-minute demo and watch an agent resolve a live incident in your environment, no slides.