Built around the work
Start with the business process. Connect agents, knowledge, and tools to a useful outcome.
< Services 2.0 >
Frontier AI Services
for Enterprises
Services that scale like software.
QualityX combines advanced AI models, expert engineers, and reusable platforms to build, integrate, and operate your business workflows.
Start with a 20-minute AI Opportunity Session.
AWS
Google Cloud
OpenAI
Anthropic
Oracle
OCI< Why QualityX >
Advanced models.
Practical engineering.
AI is useful when the workflow works. We connect the models, systems, and people needed to run it.
See our delivery workControls in the build
Scope permissions, evaluation, human approvals, and audit trails before production release.
Platforms behind the team
GTAF and OpsRabbit give our engineers reusable foundations for orchestration and operations.
Engineers through delivery
AI, data, application, cloud, and quality engineers, with clear delivery and support ownership.
What we help you deliver
Useful AI takes more
than a model.
Connect the systems. Handle the exceptions. Put engineers around the result.
POC to production
Take a validated idea beyond the demo with integrations, evaluations, deployment controls, and support.
AI workflow engineering
Connect agents to your data and applications, with permissions, exception handling, and human oversight.
AI-assisted managed operations
Put engineers and OpsRabbit-assisted investigations around CloudOps, DevOps, SRE, ITOps, and FinOps.
Have a POC that needs a production path?
Bring the workflow, the systems involved, and what needs to work next.
Start with the work
Where is your team
doing the heavy lifting?
A few starting points across business and technology. Each workflow is scoped to your systems, users, and controls.
Business operations
Less collecting. More completing.
Connect documents, business rules, and approvals to the systems where work gets done.
Documents and reporting
Extract data, validate it, assemble reports, and route exceptions for review.
Manufacturing workflows
Quote generation and video-based quality inspection on OpsRabbit, scoped with engineering review and acceptance criteria.
Conversational ERP
Request approved record updates or travel workflows through chat and WhatsApp, with controlled system actions.
Sales & Ops
Connect sales to operations.
Salesforce and HubSpot expertise, with ERP integrations that connect sales activity to operational follow-through.
CRM, ERP setup and customization
Configure fields, permissions, approvals, and workflows around your sales and operational processes.
Connected sales workflows
Connect account research, follow-ups, and CRM updates, with review before outreach.
Sales-to-operations handoffs
Connect CRM and ERP records, reporting, and approvals so won deals can move into delivery.
Products and support
AI inside the product.
Help customers and employees complete useful work inside the tools they already use.
Agent assist
Retrieve knowledge, suggest responses, and prepare context-rich handoffs for support teams.
Enterprise knowledge
Answer from permitted sources, with citations, feedback, and escalation for uncertain answers.
AI-enabled products
Prototype with users, then engineer the integration, evaluation, and release path.
IT and cloud operations
Give engineers more leverage.
Combine managed engineering support with AI-assisted investigations across your operational stack.
Incident investigation
Correlate alerts, logs, metrics, and deployments into evidence-backed findings for engineer review.
Release and platform operations
Improve CI/CD reliability, Kubernetes operations, infrastructure automation, and rollback readiness.
Cost and operational ownership
Review cloud usage, rightsizing opportunities, recurring incidents, and accountable FinOps actions.
Built around your stack. Cloud, CRM, ERP, collaboration, and operational systems.
Integrations depend on supported APIs and permissions. Model choices include OpenAI, Anthropic Claude, and cloud-hosted alternatives.
Across industries: SaaS and technology, retail and digital commerce, financial services, insurance, healthcare, manufacturing, and real estate.
Published QualityX work
Less theory.
More working systems.
Three examples of the work behind the outcome. Results are engagement-specific, not a promise for every deployment.
Agentic reporting
Four systems. One reporting workflow.
Operational reporting across ServiceNow, LogicMonitor, BackupRadar, and N-central, with separate drafting, validation, and Teams review.
Intelligent documents
Financial documents into usable reports.
Extraction, categorization, and reconciliation replace manual document handling for a property management company's financial reporting.
Managed operations
5x faster triage for recurring alerts.
Managed DevOps and SRE for a connected device platform, with OpsRabbit assisting engineers across AWS, Datadog, and Slack.
What would this look like in your business?
Start with one workflow that is manual, slow, expensive, or difficult to scale.
Work with us
The right team.
The right level of ownership.
AI, application, data, cloud, and quality engineers. Start with the capability you need and a clear definition of done.
Specialist engineers
Add hands-on capability to your team, backed by our wider AI and engineering practice.
Dedicated product pods
Bring a cross-functional team into a defined product or AI workstream, with technical leadership.
Owned delivery and operations
Agree the outcome, acceptance criteria, and support responsibilities. We manage the engineering work through delivery.
Scope the workflow. Validate with real users. Agree production acceptance and support ownership.
Before you start
Questions worth asking.
What we build, where we fit, and what happens after the demo.
What are Frontier AI Services for Enterprises?
Frontier AI Services for Enterprises combine advanced AI models with engineering, enterprise integration, and operational support. QualityX scopes the workflow, connects the systems, builds and evaluates the agents, and establishes production ownership. Services 2.0 describes this combination of specialist teams and reusable software foundations.
Can you work with an existing AI proof of concept?
Yes. We assess the existing implementation, identify integration, evaluation, security, and operational gaps, and agree which parts to retain or change. A production plan includes acceptance criteria, rollout controls, monitoring, and an accountable owner.
Can AI workflows connect to our CRM, ERP, and existing systems?
Yes. We work on CRM and ERP setup, configuration, customization, integrations, and workflow automation, including Salesforce and HubSpot workflows and SAP integration. We connect collaboration tools, document repositories, cloud platforms including Oracle Cloud Infrastructure (OCI), and internal APIs where appropriate. Integration scope depends on available APIs, permissions, data quality, and licensing.
Do you provide the engineers or just an AI platform?
We provide engineering and managed delivery services. Depending on the scope, the team can include AI, product, integration, cloud, DevOps, SRE, and quality engineers. Reusable orchestration and operational platforms support delivery; they do not replace accountable engineers or customer approval of production actions.
How do you govern AI actions and measure value?
We define permitted actions, approval boundaries, source access, evaluation cases, and audit requirements with your team. Measures can include task completion, exception rate, review effort, latency, and operating cost. Higher-risk actions require agreed human review rather than unrestricted autonomous execution.
How do we start, and how long does delivery take?
Start with a 20-minute AI Opportunity Session and one workflow that is manual, slow, expensive, or difficult to scale. We discuss the systems, users, constraints, and desired outcome. Delivery estimates follow scoping and access checks; a first working agent is not the same as a fully integrated production rollout.
Bring us the problem
One workflow.
A useful place to start.
Tell us what is manual, slow, expensive, or difficult to scale. In 20 minutes, we will explore whether AI can help and what a practical next step would involve.
Bring Us a Workflow
No prepared brief needed.