What this service is designed to solve
Teams lose time when knowledge, approvals, documents, and customer questions are scattered across people, inboxes, files, and disconnected tools.
AI Agents | Custom Build / SaaS
Secure AI agent development for real business workflows
ARRIX designs controlled AI agents that answer questions, draft documents, summarize files, route approvals, update records, and escalate sensitive actions to authorized people.
What we build, configure, or manage
ARRIX designs controlled AI agents that answer questions, draft documents, summarize files, route approvals, update records, and escalate sensitive actions to authorized people.
Operating Model
Make ownership, workstreams, and system boundaries clear.
Named integrations are candidates until discovery and written scope confirm access, fields, responsibilities, testing, and production approval.
User roles
- Executive or product sponsor
- Workflow owner
- Knowledge or data owner
- Human reviewer and escalation owner
- Agent administrator
Modules and workstreams
- Workflow discovery and agent scope
- Knowledge base and document ingestion plan
- Human approval gates and role access
- Portal, chat, or workflow integration
- Testing, training, launch, and monitoring
Candidate integrations
- Approved knowledge, document, form, or record sources with named ownership
- CRM, ticketing, portal, email, or workflow actions only after interface review
- Identity and role boundaries for private knowledge or actions
- Human handoff and notification paths before any consequential automation
Data controls
- Named data owners, approved sources, and a minimum-field data dictionary before migration or automation
- Least-privilege roles, retention and deletion rules, protected exports, and backup or recovery planning
- Reviewable activity, exception, approval, and change records appropriate to the workflow risk
- Quality monitoring with human review of generated, predicted, or published output
Delivery Workflow
Diagnose, design, deliver.
1. DiagnoseMap the business problem, users, data, systems, risks, and approval flow.
2. DesignChoose architecture, controls, integrations, milestones, and the right pricing path.
3. DeliverBuild, test, train, launch, monitor, and improve with measurable checkpoints.
Start with the right buying motion.
Use discovery for uncertain scope, a launch package for focused work, managed support for ongoing operations, or a custom proposal for complex integration and control requirements.
Compare Pricing PathsControl remains explicit
- Human approval for consequential, sensitive, financial, legal, health, public, or externally published actions
- Approved knowledge, prompts, rules, thresholds, and escalation paths with a named business owner
- Access reviews, change control, issue reporting, and periodic outcome and risk review
Choose an approved environment
- Sandbox or prototype review before production
- Staged acceptance and production release with documented rollback and ownership
- Managed cloud, approved customer cloud, or hybrid deployment after architecture review
Prepare for adoption and continuity
- Launch stabilization and administrator handoff
- Documentation, training, and support options confirmed in the proposal
- Monitoring, maintenance, and enhancement roadmap when selected
Verify before expansion
- Workflow and role acceptance by named owners
- Data, integration, security, and recovery checks
- Training, documentation, support, and change-control handoff
Apply the service in context.
Related Scenarios
Compare guidance and illustrative patterns.
FAQ
Common buying and implementation questions.
Can the AI agent answer from company documents?
Yes. ARRIX can design agents around approved knowledge sources, with role access, citations, and human review for sensitive answers.
Can staff approve actions before the agent sends messages?
Yes. Approval gates can be added for publishing, customer responses, records updates, payments, legal text, and other sensitive actions.
Which systems can this service connect to?
Candidate integrations are reviewed during discovery. ARRIX confirms ownership, approved interfaces, data fields, credentials, testing, error handling, and responsibility before any live connection is included.
How are data, security, and AI decisions governed?
The proposed scope defines role access, data boundaries, activity records, backup and recovery, approval gates, human escalation, and change control according to the operational risk.
What deployment and support options are available?
Options can include a staged managed environment, an approved customer environment, launch stabilization, training, documentation, monitoring, and ongoing support. The reviewed proposal confirms what applies.
Next Step
Bring the workflow, users, data, constraints, and target outcome.
ARRIX uses those inputs to confirm fit, scope, controls, deployment, support, timeline, and commercial terms.